Academic literature on the topic 'ARDL Estimation'
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Journal articles on the topic "ARDL Estimation"
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Lee, Kyung Hee, and Kyung Soo Kim. "Estimation of Tourism Demand using ARDL model." Korean Corporation Management Review 24, no. 4 (2017): 59–74. http://dx.doi.org/10.21052/kcmr.2017.24.4.03.
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Suharno, Suharno, and Nurul Anwar. "The Energy Demand Elasticity in Relation to Gross Domestic Product in Indonesia: Sectoral Approach." International Journal of Energy Economics and Policy 13, no. 4 (2022): 634–40. http://dx.doi.org/10.32479/ijeep.13385.
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This paper aims at estimating the energy demand elasticity in relation to gross domestic product in Indonesia based on data from 1995 to 2018. The sectors examined are industry, trading, transportation, and housing sectors. The method of analysis is the Autoregressive Distributed Lag (ARDL). An interesting estimation result here is that the elasticity of the industry sector is negative both short and long term. The other three sectors show positive elasticity. This paper contributes to the discussion of the energy demand ARDL model to be used as a reference in developing countries.
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Sumaira Batool, Dr. Saima Urooge, Syed Muhammad Faraz Raza, Muhammad Qasim Javaid, and Asif Ali. "Impressions of Agriculture, Manufacturing and Services Exports on Economic Expansion in Pakistan." Critical Review of Social Sciences Studies 3, no. 1 (2025): 1928–37. https://doi.org/10.59075/fpvyya76.
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This study’s objective is to examine the linear impressions of disaggregated industrial exports including agriculture, manufacturing and services on economic expansion in Pakistan. Rendering to this, the data of export indicators is taken from 1980 to 2020. For estimation purposes, existing study has applied the linear ARDL model for long and short term estimations. The linear short-term estimation indicate that agriculture exports and the manufacturing exports has surged the economic expansion of Pakistan in the short term. In accordance with the long term ARDL linear estimation, the values of agricultural exports and manufacturing exports are increasing Pakistan’s economic expansion. Simultaneously, the services exports are negatively influencing economic progress of Pakistan, while the effect is inconsequential. At the same time, it is evident that the error corrected term has adjusted the error from short to long period of given time. Therefore, by implementing a comprehensive policy strategy, Pakistan can optimize its capabilities in high-value service sectors like information and technology, banking, and professional consulting, therefore fostering sustained economic expansion.
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Takashi, Fukuda. "Empirical assessment of the environmental Kuznets curve hypothesis in Indonesia, Malaysia, the Philippines, and Thailand using the ARDL and FMOLS techniques." Energy Economics Letters 10, no. 1 (2023): 19–34. http://dx.doi.org/10.55493/5049.v10i1.4712.
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The purpose of the present paper is to empirically investigate whether the environmental Kuznets curve (EKC) hypothesis is validated for Indonesia, Malaysia, the Philippines, and Thailand over the period of 1971-2014. The estimation techniques employed are the autoregressive distributed lag (ARDL) and the fully modified ordinary least square (FMOLS), and we conduct the Granger causality tests to draw interpretation. We take CO2 emissions as the dependent variable, and those endogenous variables of economic growth, the square of economic growth, energy consumption, trade openness, and foreign direct investment (FDI), together with the structural break dummy (for the ARDL estimation only). The EKC hypothesis is statistically confirmed for Thailand by both the ARDL and FMOLS estimations, but it is not so for Indonesia, Malaysia, the Philippines. One policy implication is that, regardless of whether the EKC hypothesis is confirmed or not, the four ASEAN countries are required to ensure the compatibility between economic growth and environmental improvement by persistently proposing and implementing effective policies to fight against environmental degradation. Another implication is that, policymakers should consider how to convert their countries from pollution heaven countries to environmentally-friendly ones, correctly evaluating the impact of globalization on economic growth and environmental degradation.
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Afsane, Rafiee. "Estimation of Iranian Natural Gas Demand Function Using ARDL Estimation Method." International Journal of Social Science and Human Research 04, no. 05 (2021): 1225–33. https://doi.org/10.47191/ijsshr/v4-i6-01.
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Based on its advantages and providing a big part of total energy in the country, natural gas lies in a prominent place among other energy sources. Making cognition and accurate identification of practical elements on the volume of periodic (short and long) demands on natural gas can help us outline suitable plans and policies related to energy. By this view, practical items on natural gas demands had been evaluated. The ARDL pattern with distributed interruptions and ECM model was employed to investigate the function of demands on natural gas during the years from 1976 to 2013. The result proved all coefficients of variables in short and long periods. The natural gas price ratio confirms a contrary relation between natural gas demand and its price in the short term. This ratio in the long-term shows a direct connection between them. Related results to the electricity price ratio show that the electricity price variable has the most positive effect on natural gas demands . Related results show that natural gas's long-term price and income strain are more than short-term ones. Also, results show that natural gas in short periods is a non-strained and necessary commodity. Being non-strained in the short-term results in a lack of efficiency of price policies. So, releasing the price of natural gas can prevent unnecessary consumption of this valuable fuel. Price strain of natural gas in long spans proves that natural gas is a complete strain commodity. This fact is based on why there is some replacement for natural gas, such as electricity and gasoline, for long periods. The minus behind income strain shows that natural gas in the long-term is as low stuff. Intersecting the price of electricity in short and long-term investigations is positive and shows a substitutional relation between electricity and natural gas. The negative intersecting strain of price of kerosene shows that natural gas and kerosene in both the short and long-term are complementary. Also, the gasoline price ratio confirms the complementary relationship in the short-term and substitutional relation in the long-term between natural gas and gasoline.
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Chen, Han, Rui Chen, Shaniel Bernard, and Imran Rahman. "US hotel industry revenue: an ARDL bounds testing approach." International Journal of Contemporary Hospitality Management 31, no. 4 (2019): 1720–43. http://dx.doi.org/10.1108/ijchm-01-2018-0031.
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Purpose This study aims to develop a parsimonious model to estimate US aggregate hotel industry revenue using domestic trips, consumer confidence index, international inbound trips, personal consumption expenditure and number of hotel rooms as predictor variables. Additionally, the study applied the model in six sub-segments of the hotel industry – luxury, upper upscale, upscale, upper midscale, midscale and economy. Design/methodology/approach Using monthly aggregate data from the past 22 years, the study adopted the auto-regressive distribute lags (ARDL) approach in developing the estimation model. Unit root analysis and cointegration test were further utilized. The model showed significant utility in accurately estimating aggregate hotel industry and sub-segment revenue. Findings All predictor variables except number of rooms showed significant positive influences on aggregate hotel industry revenue. Substantial variations were noted regarding estimating sub-segment revenue. Consumer confidence index positively affected all sub-segment revenues, except for upper upscale hotels. Inbound trips by international tourists and personal consumption expenditure positively influenced revenue for all sub-segments but economy hotels. Domestic trips by US residents added significant explanatory power to only upper upscale, upscale and economy hotel revenue. Number of hotel rooms only had significant negative effect on luxury and upper upscale hotel sub-segment revenues. Practical implications Hotel operators can make marketing and operating decisions regarding pricing, inventory allocation and strategic management based on the revenue estimation models specific to their segments. Originality/value It is the first study that adopted the ARDL bound approach and analyzed the predictive capacity of macroeconomic variables on aggregate hotel industry and sub-segment revenue.
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Kripfganz, Sebastian, and Daniel C. Schneider. "ardl: Estimating autoregressive distributed lag and equilibrium correction models." Stata Journal: Promoting communications on statistics and Stata 23, no. 4 (2023): 983–1019. http://dx.doi.org/10.1177/1536867x231212434.
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We present a command, ardl, for the estimation of autoregressive distributed lag (ARDL) models in a time-series context. The ardl command can be used to fit an ARDL model with the optimal number of autoregressive and distributed lags based on the Akaike or Bayesian (Schwarz) information criterion. The regression results can be displayed in the ARDL levels form or in the error-correction representation of the model. The latter separates long-run and short-run effects and is available in two different parameterizations of the long-run (cointegrating) relationship. The popular bounds-testing procedure for the existence of a long-run levels relationship is implemented as a postestimation feature. Comprehensive critical values and approximate p-values obtained from response-surface regressions facilitate statistical inference.
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Akhter, Afsana, Sarder Abdulla Al Shiam, Mohammad Ridwan, et al. "Assessing the Impact of Private Investment in AI and Financial Globalization on Load Capacity Factor: Evidence from United States." Journal of Environmental Science and Economics 3, no. 3 (2024): 99–127. http://dx.doi.org/10.56556/jescae.v3i3.977.
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The need for sustainable solutions has increased globally as a result of the growing environmental problems brought about by urbanization and industrialization. Given this, private investment in artificial intelligence (AI) has become a viable means of promoting environmental sustainability, mainly because of AI's capacity to minimize ecological footprints and maximize resource utilization. This research investigates the role of private investment in AI in promoting environmental sustainability in the United States from 1990 to 2019. It also analyzes the impact of financial globalization, technological innovation, and urbanization by testing the Load Capacity Curve (LCC) hypothesis. The research utilizes stationarity tests, which indicate that the variables are free from unit root problems and exhibit mixed orders of integration. Using the Autoregressive Distributive Lag (ARDL) Model bound test, the analysis finds that the variables are cointegrated in the long run. The short-run and long-run estimations of the ARDL model confirm the existence of the LCC hypothesis in the United States, revealing a U-shaped association between income and load capacity factor. The findings show that private investment in AI has a significant positive correlation with the load capacity factor, thus promoting environmental sustainability. Conversely, technological innovation and financial globalization exhibit a negative correlation with the load capacity factor in both the short and long run. To validate the ARDL estimation approach, the study employs Fully Modified OLS, Dynamic OLS, and Canonical Correlation Regression estimation methods, all of which support the ARDL outcomes. Additionally, the Granger Causality test reveals a unidirectional causal connection from private investment in AI, financial globalization, economic growth, technological innovation, and urbanization to the load capacity factor.
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Abid Hussein*, Mayson, and Munaf Yousif Hmood. "Nonstationary Time Series Models Using ARDL and NARDL Estimation." Journal of Economics and Administrative Sciences 30, no. 141 (2024): 439–56. http://dx.doi.org/10.33095/afbrge60.
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The paper features an examination of the link between the behavior of the Money supply and Bank deposit in both an autoregressive distributed lag ARDL, plus a nonlinear autoregressive distributed lag NARDL framework. The regression relationship between any two nonstationary time series suffer from the problem of superior regression and the results may be incorrect and unreliable, and to overcome this problem the aim of this paper was find a balanced relationship in the long - run between the variables of Money supply and Bank deposits using the method of cointegration by focusing on the behavior of the residuals of the cointegration model based on monthly data for a time series for the period (2010-2015). The time series stationary test was done by conducting the Unit Root Test based on the Philips-Perron test to find out the stationary of the variables and then detect the existence of the cointegration using the bounds testing, the tests showed the nonstationary of the time series at level I(0) and their become stationary after taking the first differences I(1). Bounds test showed the existence of cointegration .The Error correction model for the ARDL model was the best, despite the convergence of most of the test results for the two models, but the ARDL model was the more accurate with the speed of adjustment in the short -run to return to long-run equilibrium, as it reached (37%) and a period of two months for the ARDL model, while the percentage for the NARDL model was equal to (28%) and a period of time of approximately three and a half months.
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Ayele, Getaneh Mihret. "Does real exchange rate devaluation improve the current account balance of highly indebted low income countries?" African Journal of Economic and Management Studies 10, no. 2 (2019): 212–25. http://dx.doi.org/10.1108/ajems-11-2017-0287.
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Purpose The purpose of this paper is to examine whether real exchange rate devaluation improves the current account balance of four highly indebted low-income countries of East Africa. Design/methodology/approach The pooled mean group (PMG) approach is used for panel data from four countries over the period 1970–2016. The paper also applied bound testing and ARDL model for time-series data from individual sample countries. Findings The panel PMG/ARDL estimation result reveals that real exchange rate devaluation has no significant impact on the current account balance, both in the short and long run. However, the time-series analysis using the bound testing and restricted ARDL estimation suggests that real exchange rate devaluation improves the current account balance in the long run for only Ethiopia. The overall empirical results reveal that the current account balance would improve with the rising domestic income while it deteriorates with increasing foreign income and external indebtedness in the long run. Originality/value The paper is original.
Dissertations / Theses on the topic "ARDL Estimation"
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Samargandi, Nahla. "Essays on financial development and economic growth." Thesis, Brunel University, 2015. http://bura.brunel.ac.uk/handle/2438/11071.
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This thesis is based on three empirical essays in financial development and economic growth. The first essay, investigated in the third chapter, the effect of financial development on economic growth in the context of Saudi Arabia, an oil-rich economy. In doing so, the study distinguishes between the effects of financial development on the oil and non-oil sectors of the economy. The Autoregressive Distributed Lag (ARDL) bounds test methodology is applied to yearly data over the period 1968 to 2010. The finding of this study is that financial development has a positive impact on the growth of the non-oil sector. In contrast, its impact on the oil-sector growth and total GDP growth is either negative or insignificant. This suggests that the relationship between financial development and growth may be fundamentally different in resource-dominated economies. The second essay revisited, in the fourth chapter, the relationship between financial development and economic growth in a panel of 52 middle-income countries over the 1980-2008 period. Using pooled mean group estimations in a dynamic heterogeneous panel setting, we show that there is an inverted U-shaped relationship between finance and growth in the long-run. In the short run, the relationship is insignificant. This suggests that too much finance can exert a negative influence on growth in middle-income countries. The finding of a non-monotonic effect of financial development on growth is confirmed by estimating a dynamic panel threshold model. The third essay empirically explores cross-country evidence of the effects of financial development shocks on economic growth. It employs a Global Vector Autoregressive (GVAR) model, which allows us to capture the dynamics of this relationship in a multi-country setting, and connects countries through bilateral international trade. Given the progressive role that Brazil, Russia, India, China and South Africa (BRICS) play in the world economic arena, this essay focuses on whether financial development in one BRICS member state affects economic growth in the other BRICS. To this end, the study finds empirical evidence that credit to the private sector has a positive spillover effect on growth in some of the BRICS countries. However, the results imply that the current level of financial integration among the BRICS countries is still not mature enough to spur economic growth for all the BRICS members.
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Gencturk, Bilgehan. "Nickel Resource Estimation And Reconciliation At Turkmencardagi Laterite Deposits." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614978/index.pdf.
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In recent years nickel is mostly produced from lateritic ore deposits such as nontronite, limonite, etc. Resource estimation is difficult for laterite deposits as they have a weak and heterogeneous form. 3D modeling software are rather suitable for deposits having tabular or vein type ores. In this study the most appropriate estimation technique for resource estimation of nickel laterite deposits was investigated.
One of the known nickel laterite deposits in Turkey is located at Tü<br>rkmenç<br>ardagi - Gö<br>rdes region. Since the nickel (Ni) grade recovered from drilling studies seem to be very low, a reconciliation pit having dimensions of 40 m x 40 m x 15 m in x-y-z directions was planned by Meta Nikel Kobalt Mining Company (META), the license owner of the mine, to produce nickel ore.
13 core drilling and 13 reverse circulation drilling (RC) and 26 column samplings adjacent to each drillholes were located in this area. Those three sampling results were compared to each other and as well as the actual production values obtained from reconciliation pit. On the other side 3D computer modeling was also used to model the nickel resource in Tü<br>rkmenç<br>ardagi - Gö<br>rdes laterites. The results obtained from both inverse distance weighting and kriging methods were compared to the results of actual production to find out the applicability of 3D modeling to laterite deposits.
Modeling results showed that Ni grade of the reconciliation pit in Tü<br>rkmenç<br>ardagi - Gö<br>rdes, considering 0.5% Ni cut-off value, by using drillholes data, inverse distance weighting method estimates 622 tonnes with 0.553% Ni and kriging method estimates 749 tonnes with 0.527% Ni. The actual production pit results provided 4,882 tonnes of nickel ore with 0.649% Ni grade. These results show that grade values seem to be acceptable but in terms of tonnage, there are significant differences between theoretical estimated values and production values.
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Webster, Ronald A. "Development of statistical methods for the surveillance and monitoring of adverse events which adjust for differing patient and surgical risks." Thesis, Queensland University of Technology, 2008. https://eprints.qut.edu.au/16622/1/Ronald_Albert_Webster_Thesis.pdf.
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The research in this thesis has been undertaken to develop statistical tools for monitoring adverse events in hospitals that adjust for varying patient risk. The studies involved a detailed literature review of risk adjustment scores for patient mortality following cardiac surgery, comparison of institutional performance, the performance of risk adjusted CUSUM schemes for varying risk profiles of the populations being monitored, the effects of uncertainty in the estimates of expected probabilities of mortality on performance of risk adjusted CUSUM schemes, and the instability of the estimated average run lengths of risk adjusted CUSUM schemes found using the Markov chain approach. The literature review of cardiac surgical risk found that the number of risk factors in a risk model and its discriminating ability were independent, the risk factors could be classified into their "dimensions of risk", and a risk score could not be generalized to populations remote from its developmental database if accurate predictions of patients' probabilities of mortality were required. The conclusions were that an institution could use an "off the shelf" risk score, provided it was recalibrated, or it could construct a customized risk score with risk factors that provide at least one measure for each dimension of risk. The use of report cards to publish adverse outcomes as a tool for quality improvement has been criticized in the medical literature. An analysis of the report cards for cardiac surgery in New York State showed that the institutions' outcome rates appeared overdispersed compared to the model used to construct confidence intervals, and the uncertainty associated with the estimation of institutions' out come rates could be mitigated with trend analysis. A second analysis of the mortality of patients admitted to coronary care units demonstrated the use of notched box plots, fixed and random effect models, and risk adjusted CUSUM schemes as tools to identify outlying hospitals. An important finding from the literature review was that the primary reason for publication of outcomes is to ensure that health care institutions are accountable for the services they provide. A detailed review of the risk adjusted CUSUM scheme was undertaken and the use of average run lengths (ARLs) to assess the scheme, as the risk profile of the population being monitored changes, was justified. The ARLs for in-control and out-of-control processes were found to increase markedly as the average outcome rate of the patient population decreased towards zero. A modification of the risk adjusted CUSUM scheme, where the step size for in-control to out-of-control outcome probabilities were constrained to no less than 0.05, was proposed. The ARLs of this "minimum effect" CUSUM scheme were found to be stable. The previous assessment of the risk adjusted CUSUM scheme assumed that the predicted probability of a patient's mortality is known. A study of its performance, where the estimates of the expected probability of patient mortality were uncertain, showed that uncertainty at the patient level did not affect the performance of the CUSUM schemes, provided that the risk score was well calibrated. Uncertainty in the calibration of the risk model appeared to cause considerable variation in the ARL performance measures. The ARLs of the risk adjusted CUSUM schemes were approximated using simulation because the approximation method using the Markov chain property of CUSUMs, as proposed by Steiner et al. (2000), gave unstable results. The cause of the instability was the method of computing the Markov chain transition probabilities, where probability is concentrated at the midpoint of its Markov state. If probability was assumed to be uniformly distributed over each Markov state, the ARLs were stabilized, provided that the scores for the patients' risk of adverse outcomes were discrete and finite.
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Webster, Ronald A. "Development of statistical methods for the surveillance and monitoring of adverse events which adjust for differing patient and surgical risks." Queensland University of Technology, 2008. http://eprints.qut.edu.au/16622/.
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The research in this thesis has been undertaken to develop statistical tools for monitoring adverse events in hospitals that adjust for varying patient risk. The studies involved a detailed literature review of risk adjustment scores for patient mortality following cardiac surgery, comparison of institutional performance, the performance of risk adjusted CUSUM schemes for varying risk profiles of the populations being monitored, the effects of uncertainty in the estimates of expected probabilities of mortality on performance of risk adjusted CUSUM schemes, and the instability of the estimated average run lengths of risk adjusted CUSUM schemes found using the Markov chain approach. The literature review of cardiac surgical risk found that the number of risk factors in a risk model and its discriminating ability were independent, the risk factors could be classified into their "dimensions of risk", and a risk score could not be generalized to populations remote from its developmental database if accurate predictions of patients' probabilities of mortality were required. The conclusions were that an institution could use an "off the shelf" risk score, provided it was recalibrated, or it could construct a customized risk score with risk factors that provide at least one measure for each dimension of risk. The use of report cards to publish adverse outcomes as a tool for quality improvement has been criticized in the medical literature. An analysis of the report cards for cardiac surgery in New York State showed that the institutions' outcome rates appeared overdispersed compared to the model used to construct confidence intervals, and the uncertainty associated with the estimation of institutions' out come rates could be mitigated with trend analysis. A second analysis of the mortality of patients admitted to coronary care units demonstrated the use of notched box plots, fixed and random effect models, and risk adjusted CUSUM schemes as tools to identify outlying hospitals. An important finding from the literature review was that the primary reason for publication of outcomes is to ensure that health care institutions are accountable for the services they provide. A detailed review of the risk adjusted CUSUM scheme was undertaken and the use of average run lengths (ARLs) to assess the scheme, as the risk profile of the population being monitored changes, was justified. The ARLs for in-control and out-of-control processes were found to increase markedly as the average outcome rate of the patient population decreased towards zero. A modification of the risk adjusted CUSUM scheme, where the step size for in-control to out-of-control outcome probabilities were constrained to no less than 0.05, was proposed. The ARLs of this "minimum effect" CUSUM scheme were found to be stable. The previous assessment of the risk adjusted CUSUM scheme assumed that the predicted probability of a patient's mortality is known. A study of its performance, where the estimates of the expected probability of patient mortality were uncertain, showed that uncertainty at the patient level did not affect the performance of the CUSUM schemes, provided that the risk score was well calibrated. Uncertainty in the calibration of the risk model appeared to cause considerable variation in the ARL performance measures. The ARLs of the risk adjusted CUSUM schemes were approximated using simulation because the approximation method using the Markov chain property of CUSUMs, as proposed by Steiner et al. (2000), gave unstable results. The cause of the instability was the method of computing the Markov chain transition probabilities, where probability is concentrated at the midpoint of its Markov state. If probability was assumed to be uniformly distributed over each Markov state, the ARLs were stabilized, provided that the scores for the patients' risk of adverse outcomes were discrete and finite.
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Lin, Yi-Fan. "Bayesian interval estimation and performance measurement." Thesis, 2019. http://hdl.handle.net/1959.13/1407919.
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Research Doctorate - Doctor of Philosophy (PhD)<br>Background: Quality measurement and reporting systems are used in healthcare internationally. Clinical indicators are increasingly being used to assess, compare and improve the quality of care provided by health care systems. In Australia, the Australian Council on Healthcare Standards records and reports hundreds of clinical indicators nationally across the healthcare system. These indicators are measures of performance in the clinical setting, and are used as a screening tool to help assess whether a standard of care is being met. Existing analysis and reporting of these indicators incorporate Bayesian methods to address sampling variation; however, such assessments are retrospective in nature, reporting upon the previous six or twelve months of data. The use of Bayesian methods within statistical process control for monitoring systems is an important pursuit to support more timely decision-making. Objectives: This thesis aimed to develop and assess a new graphical monitoring tool, similar to a control chart, utilising the benefits of Bayesian hierarchical models, and potentially improving the monitoring of the health care system. Methods: Simulations were developed based upon a factorial design parameter space to compare the traditional Bernoulli CUSUM (BC) chart with three charts utilising the Bayesian paradigm. The first two charts are based on the beta-binomial posterior predictive (BBPP) distribution with each of the more traditional “central” and “highest posterior density” (HPD) interval approaches to define the limits, named BBPPCI and BBPPHPD charts, respectively. The third chart was a Bayesian CUSUM, based on the beta-binomial posterior (BBP) distribution with the traditional Bernoulli CUSUM (BC) chart procedure, named the BBPBC chart. These charts were compared via heat maps, regression models and tree-based models to identify parameter spaces where the new charts were superior to the traditional BC chart, based on in-control and out-of-control average run lengths, assuming that the parameter representing the underlying clinical indicator rate (proportion of cases with an event of interest) required estimation. Results: The in-control ARLs for all charts were very high, exceeding traditional Shewhart charts. The newly developed BBPP chart with HPD interval estimation was found to have the best performance based on the out-of-control ARL (ARLout) for the case of when the underlying parameter changes immediately. The BBPPHPD chart had, on average, a smaller ARLout than the BC chart in 75% of the simulations conducted. Conclusions: Bayesian hierarchical models and the newly developed control charts utilising these models have been shown to offer value to the health care system. These new charts offer improved abilities to detect changes in the system, and can do so in a more timely manner than retrospective system reports. It is recommended that these charts continue to be explored and assessed for a broader parameter space and utilising traditional run rules. A final chapter in the thesis explored a Bayesian approach to a problem surrounding interval estimation that was recently addressed by frequentist methods. The article in question was the result of a practical application requiring inference for the weighted sum of two binomial proportions, which is related to the more common problem of inference for the difference between two proportions. Bayesian credible intervals were derived which perform better than the frequentist-based confidence intervals that were developed for the application, not only in terms of frequentist coverage, but especially in terms of intervals for extreme data outcomes.
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Kotera, Jan. "Nestandardní úlohy v odstranění rozmazání obrazu." Doctoral thesis, 2020. http://www.nusl.cz/ntk/nusl-437543.
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Title: Image Deblurring in Demanding Conditions Author: Jan Kotera Department: Institute of Information Theory and Automation, Czech Academy of Sciences Supervisor: Doc. Ing. Filip Šroubek, Ph.D., DSc., Institute of Information Theory and Automation, Czech Academy of Sciences Abstract: Image deblurring is a computer vision task consisting of removing blur from image, the objective is to recover the sharp image corresponding to the blurred input. If the nature and shape of the blur is unknown and must be estimated from the input image, image deblurring is called blind and naturally presents a more difficult problem. This thesis focuses on two primary topics related to blind image deblurring. In the first part we work with the standard image deblurring based on the common convolution blur model and present a method of increasing robustness of the deblur- ring to phenomena violating the linear acquisition model, such as for example inten- sity clipping caused by sensor saturation in overexposed pixels. If not properly taken care of, these effects significantly decrease accuracy of the blur estimation and visual quality of the restored image. Rather than tailoring the deblurring method explicitly for each particular type of acquisition model violation we present a general approach based on flexible automatic...
Books on the topic "ARDL Estimation"
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Modèle ARDL et ECM: Estimation du modèle ARDL et ECM sur Eviews et stata. Éditions universitaires européennes, 2022.
Find full textBook chapters on the topic "ARDL Estimation"
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Husmeier, Dirk. "Automatic Relevance Determination (ARD)." In Neural Networks for Conditional Probability Estimation. Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-0847-4_15.
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El-Anshasy, Amany, Kamiar Mohaddes, and Jeffrey B. Nugent. "Oil, Volatility, and Institutions." In Institutions and Macroeconomic Policies in Resource-Rich Arab Economies. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198822226.003.0003.
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This chapter examines the long-run effects of oil revenue and its volatility on economic growth, as well as the role of institutions in this relationship. We collect annual and monthly data on 17 major oil producers between 1961 and 2013, and use the panel autoregressive distributed lag (ARDL) approach as well as its cross-sectionally augmented version (CS-ARDL) for estimation. Therefore, in contrast to earlier literature on the resource curse, we take into account all three key features of the panel: dynamics, heterogeneity, and cross-sectional dependence. The results suggest that: (i) oil revenue volatility has a significant negative effect on output growth; (ii) a higher growth rate of oil revenue significantly raises economic growth; and (iii) better fiscal policy can offset some of the negative effects of oil revenue volatility. We therefore argue that volatility in oil revenues combined with poor governmental responses to this volatility drives the resource curse paradox.
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Tekin, Hatice Armutcuoğlu, and Osman Tüzün. "The Role of Technological Development on Employment." In Reskilling the Workforce for Technological Advancement. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-0612-3.ch001.
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This chapter aims to investigate the impact of technological development on employment in Turkey. The authors include research and development expenditures, the share of medium and high technology product exports in total exports, and total employment into the dataset. They also use the economic growth rate as a control variable. In this study, ARDL estimation results are reported using annual data for the period 1990-2022. According to the findings of the study, economic growth and research and development expenditures positively affect employment. Exports of technological products do not have an employment-increasing effect. Based on this result, the authors argue that employment should be reskilled and associated with technological developments in Turkey.
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Kaddachi, Hayet, and Naceur Benzina. "The Impact of Corruption on Economic Growth in Tunisia." In Algorithmic Approaches to Financial Technology. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-1746-4.ch007.
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This chapter aims to examine the impact of corruption on economic growth in Tunisia between the years 1998 and 2018.Using time series data to obtain relationships of an empirical nature. The processing of time series data starts with checking individual series, and ADF and Zivot and Andrews tests help identify variables' stationarity. The mixed order of integration levels recommends using ARDL to obtain the long-run relationships between the variables. The estimation results confirm that corruption demoralizes and discourages private investment in the short and long run. In both the long and short run, the indirect impact of corruption is negative and insignificant for public spending. However, the interaction between human capital and the corruption perception index is positive and insignificant in the short run but negative and significant in the long run.
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Ghosh, Priyajit Kumar, and Biswajit Paul. "Influence of Industrialization and Energy Consumption on Environmental Sustainability." In Sustainable Partnership and Investment Strategies for Startups and SMEs. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-2197-3.ch005.
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This study assesses the influence of industrialization and energy consumption on the environmental sustainability for seven Asian emerging economies over the period 1990–2022 by using Panel ARDL estimation technique. Results show that industrialization adversely impacts environmental sustainability in the long run by discharging CO2, while energy consumption has a favourable environmental impact. In the short run, both factors have demonstrated overall as well as country specific adverse effects. Further, Dumitrescu Hurlin Panel causality results reported uni directional causal relationship moving from industrialization and energy consumption to carbon dioxide discharges. These results indicates that efforts of Asian emerging economies towards environmental sustainability are not sufficient. This study recommends policymakers consider different sustainability frameworks, increase awareness regarding adoption of environmental positive activities, and allocate more funding for environmental protection and technological innovation.
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Egide, Bizimana, Ntakirutimana Leonard, Nimenya Nicodeme, and Bigawa Bazira Abel. "Relationship of Population Growth and Cereal Grains Availability in Burundi: ARDL Model Estimation." In Current Approaches in Engineering Research and Technology Vol. 5. B P International, 2024. http://dx.doi.org/10.9734/bpi/caert/v5/7226b.
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Bayraç, Hüseyin Naci, and Emrah Doğan. "Green Jobs and Productivity Research on the Countries of the European Union." In Reskilling the Workforce in the Labor Market. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-3669-4.ch004.
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The transition to the green economy has changed the way of doing business and has revealed the business models expressed as green jobs. This study examines the impacts of green jobs in EU countries on productivity in line with different methods. In this context, the data used in the study was between 2011 to 2019. The analysis in the study, which investigates the effects of green jobs increase on total factor productivity in EU countries, is carried out with panel ARDL approach, Kao Panel Cointegration methods. According to the estimation values obtained in the study, it is seen that there is a positive and statistically significant relationship between the increase in green jobs and total factor productivity. On the other hand, fixed capital investments and foreign direct investments, among the variables discussed in the study, have a positive and statistically significant effect on total factor productivity.
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Oyedeko, Yusuf Olatunji, Betty Oluwayemisi Ali-Momoh, Babajide Olumuyiwa Owoniya, and Adesola Trust Gbadebo. "Digital Economy and Sustainability in Africa." In Advances in Multimedia and Interactive Technologies. IGI Global, 2025. https://doi.org/10.4018/979-8-3373-1681-9.ch008.
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The study examined effect of digital economy on economic sustainability with the moderating effect of governance quality. The study covered the period of 28 years spanning from 1995 to 2022 across five selected countries in Africa. The study employed ex-pos facto research design and secondary source of data was used and the data was sourced from World Bank Data Indicators. The study focused on five African countries which were chosen based on their nominal gross domestic product which are Egypt, Nigeria, South Africa, Algeria, Ethiopia (NEESA). The estimation techniques used was Panel VAR and Panel ARDL. It was evidenced that digital economy has positive and governance quality have effect on economic sustainability among the African countries in the long run. Also, it was found that the interaction between governance quality and digital economy improve the long run relationship between the digital economy and economic sustainability among the African countries in the long run. It can be concluded that digital economy and governance quality promote economic sustainability. In addition, governance quality enhanced the relationship between digital economy and economic sustainability. Thus, in view of this, the study recommended that government should put mechanism in place that will expand information technology and the global knowledge economy in order to prime sustainable Economy. Also, the governance quality should be promoted among the African countries.
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Wang, Connie, and Edward Bittner. "Using Esophageal Pressures to Improve Oxygenation and Compliance in Acute Lung Injury." In 50 Studies Every Intensivist Should Know, edited by Edward A. Bittner and Michael E. Hochman. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190467654.003.0027.
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The New England Journal of Medicine article, “Using Esophageal Pressures to Improve Oxygenation and Compliance in Acute Lung Injury,” showed that ventilator adjustments guided by using esophageal pressure for estimation of transpulmonary pressure demonstrated significant improvement in oxygenation and compliance for patients with acute lung injury (ALI) and acute respiratory distress syndrome (ARDS). The study randomized patients with ALI or ARDS to either a positive end expiration pressure (PEEP) adjustment according to measurement of either esophageal pressures or ARDS network standard-of-care recommendations. Esophageal balloon catheters helped to determine the optimal level of PEEP that would sustain oxygenation but still prevent alveolar collapse or overdistention.
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Essel, Isaac Kojo, Charles Omane-Adjekum, Simon Akumbo Eugene Mbilla, and Enusah Abdulai. "Disaggregated Environmental Taxes on Energy Intensity." In Advances in Finance, Accounting, and Economics. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-2117-1.ch015.
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This study examines the impact of various environmental taxes on energy intensity using panel data from 20 European countries and 17 Sub-Saharan African countries for the period 2000-2019. The autoregressive distributed lag model (ARDL) was used to analyze both the long-term and short-term effects, employing a Pool Mean Group estimator. Results indicate that the influence of disaggregated environmental taxes, specifically air pollution taxes and climate change taxes, on energy intensity is not always consistent across different regions. The findings highlight that the effects vary based on income groups and time periods. These results suggest that policymakers need to tailor environmental tax policies to the unique economic and temporal contexts of each region, balancing the goals of economic growth and environmental sustainability.
Conference papers on the topic "ARDL Estimation"
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Balcılar, Mehmet, Harun Bal, Neşe Algan, and Mehmet Demiral. "Turkey’s Export Performance: Examining the Main Determinants of Export Volume (1995-2012)." In International Conference on Eurasian Economies. Eurasian Economists Association, 2013. http://dx.doi.org/10.36880/c04.00774.
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The main objective of this study is to investigate the short and the long run relationships between export performance proxied by export volume index and real effective exchange rate changes in Turkey using the aggregated quarterly data sets covering the period of 1995-2012. The other factors that are expected to affect export performance such as wage, foreign income, productivity, trend GDP and exchange rate volatility are also added to the model. The ARDL bounds testing approach to cointegration is performed in the estimation process. The causalities among the variables in the model are determined based on the estimated ARDL models. The empirical results reveal that the variables of interest are cointegrated. Real effective exchange rate coefficient is significantly positive in the short run whereas negative in the long run and exchange rate volatility has no significant effect on export performance in contrast with theoretical expectations. Other evidences indicate that the recent export boom in Turkey can be explained by wages, productivity and world demand, rather than exchange rate changes. Consequently, findings suggest that policies that depressing wages and stimulating high productivity can help export sectors increase their export volume and competitiveness in Turkey.
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Elsalih, Osama, Kamil Sertoğlu, Mustafa Besim, and Abdelhakim Embaya. "The Comparative Advantage of Crude Oil in the Top 10 Oil-Producing Countries." In International Conference on Eurasian Economies. Eurasian Economists Association, 2019. http://dx.doi.org/10.36880/c11.02310.
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This paper investigates the comparative advantage of crude oil in the top 10 oil-producing countries through computing the Normalized Revealed Comparative Advantage (NRCA) index and further examines the determinants of this advantage using panel estimation technique. The results of the NRCA index showed that during the study period of 27 years (1990-2016) not all the top10 oil-producing countries have a comparative advantage in crude oil production. Countries like Iran, Iraq, Kuwait, Russia, Saudi, and UAE are found to have a comparative advantage in producing crude oil, while countries like Brazil, China, and the USA have no comparative advantage in producing crude oil. For Canada, its comparative advantage is only revealed just between 2006 and 2016. The result of the Panel ARDL suggested that in the long run, crude oil price (COP) and daily average of crude oil production (DAP) are found to be positive and significantly related to NRCA, whereas proven reserve (PR) and domestic demand for oil (DDO) are negative and significantly related to NRCA. In the short run, COP, ADP, and DDO have the same effect as in the long run and significantly related to NRCA, while PR is statistically insignificant. Finally, a bidirectional Granger-causality is detected between the variables except for the PR and NRCA where a unidirectional causality runs from PR to NRCA.
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Al-Assaf, Dr Ghazi. "Understanding the Nexus Between Oil Price Volatility and Trade Balance in GCC Countries: A Comparative Investigation of Linear and Nonlinear ARDL Models." In 5th World Conference on Business, Management, Finance, Economics, and Marketing. Eurasia Conferences, 2024. http://dx.doi.org/10.62422/978-81-968539-6-9-019.
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The GCC countries, being rich in oil deposits, have always experienced volatility in the price of oil, and the consequences are predominantly in the form of the trade balance proportions. This research work attempts to unravel the complex interplay of oil price volatility and trade balance in GCC countries through the use of comparative analysis of Linear Autoregressive Distributed Lag (ARDL) and Nonlinear ARDL models. This research uses annual time-series data covering the period 1989-2021, which includes the major GCC economies of Saudi Arabia, the United Arab Emirates, Qatar, Kuwait, Bahrain and Oman. First the research investigates the linear relationship between the volatility of oil price and trade balance that captures the traditional view of fluctuations in oil prices as a factor affecting trade balances in these countries. Then it presents an innovative method extending linear dynamics of ARDL model to complex, non-monotonic, interdependent relationships between oil price volatility and trade balance. The main results derived from both linear and non-linear ARDL estimations are presented side by side to pinpoint the underlying different mechanisms by which oil price volatility affects trade balances in GCC countries. The implementation of nonlinear dynamics will help realize the existence of components and consequences which might not be shown in the standard linear models. This comparative study not only brings the issue of the interrelatedness of oil prices and trade balances deeper into light, but also sets the tone for the application of advanced econometric techniques to account for nonlinearity and asymmetry in such relationships.
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ALI, RAHMAT, and YOUNG-JIN CHA. "DEEP LEARNING BASED POTHOLE MONOCULAR DEPTH ESTIMATION AND SEGMENTATION USING 3D SCANNER-DERIVED DEPTH MAPS." In Structural Health Monitoring 2023. Destech Publications, Inc., 2023. http://dx.doi.org/10.12783/shm2023/37016.
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Potholes pose significant safety risks to drivers and cause damage to vehicles. This paper modified a novel approach called the monocular depth estimation and segmentation (modified 3DPredicNet) network [1] to accurately estimate depth maps and segment potholes. To facilitate model training and evaluation, a comprehensive dataset consists of RGB images captured using a DSLR camera and corresponding 3D scan data for generating depth maps. The depth maps derived from the 3D scans are utilized for pothole depth estimation, while masks are used for pothole segmentation. The evaluation results reveal the model's ability to accurately predict and segment potholes in RGB images, achieving a minimum absolute relative error (ARel) of 0.062, square relative error (SRel) of 0.011, and root mean square error (RMSE) of 0.118 when tested on the newly developed dataset. Moreover, when tested on the newly developed dataset, the model demonstrates good pothole segmentation performance, attaining a high mean intersection over union (mIoU) of 81.05. Furthermore, when utilizing the publicly available dataset, the modified 3DPredicNet achieved accurate depth estimation with ARel of 0.093 and SRel of 0.033.
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Hojdan, David. "Exploring the relationship between government DEBT and real GDP: a panel ARDL analysis." In 14th International Scientific Conference „Business and Management 2024“. Vilnius Gediminas Technical University, 2024. http://dx.doi.org/10.3846/bm.2024.1311.
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This study explores the impact of government debt on real GDP in 37 high-income economies from 1990 to 2019, using quarterly data and panel ARDL models with the PMG estimator to distinguish between short-run and long-run effects. Despite identifying a non-linear relationship between government debt and real GDP, suggesting a long-term debt threshold of 95% to 110%, robustness checks using the Common Correlated Effects estimator to adjust for cross-sectional dependence find no significant long-term impact of government debt on real GDP. This conclusion calls into question the existence of a universal debt threshold affecting economic growth in high-income economies and contributes to the debate on the optimal level of government debt and its economic effects.
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Li, Longyuan, Junchi Yan, Xiaokang Yang, and Yaohui Jin. "Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/402.
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Probabilistic time series forecasting involves estimating the distribution of future based on its history, which is essential for risk management in downstream decision-making. We propose a deep state space model for probabilistic time series forecasting whereby the non-linear emission model and transition model are parameterized by networks and the dependency is modeled by recurrent neural nets. We take the automatic relevance determination (ARD) view and devise a network to exploit the exogenous variables in addition to time series. In particular, our ARD network can incorporate the uncertainty of the exogenous variables and eventually helps identify useful exogenous variables and suppress those irrelevant for forecasting. The distribution of multi-step ahead forecasts are approximated by Monte Carlo simulation. We show in experiments that our model produces accurate and sharp probabilistic forecasts. The estimated uncertainty of our forecasting also realistically increases over time, in a spontaneous manner.
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Gumà, M., J. Roca, S. Holgado, et al. "THU0220 An estimation of the prevalence of hypermobility." In Annual European Congress of Rheumatology, Annals of the rheumatic diseases ARD July 2001. BMJ Publishing Group Ltd and European League Against Rheumatism, 2001. http://dx.doi.org/10.1136/annrheumdis-2001.752.
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Курбаниязов, С. К. "GEOLOGICAL STUDIES OF OIL AND GAS FIELDS IN THE EAST ARAL SEDIMENTARY BASIN." In «АКТУАЛЬНЫЕ ВОПРОСЫ СОВРЕМЕННОЙ НАУКИ: ТЕОРИЯ, ТЕХНОЛОГИЯ, МЕТОДОЛОГИЯ И ПРАКТИКА». Международная научно-практическая онлайн-конференция, приуроченная к 60-ти летию член-корреспондента Академии наук ЧР, доктора технических наук, профессора Сайд-Альви Юсуповича Муртазаева. Crossref, 2021. http://dx.doi.org/10.34708/gstou.conf..2021.82.70.010.
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Объектом исследований являлись верхнепалеозойские, мезозойские и кайнозойские отложения, слагающие разрез в Восточно-Аральском осадочном бассейне, в связи с перспективами выявления месторождений нефти и газа. Обобщены и систематизированы сведения по стратиграфии, литологии, тектонике и нефтегазоносности района исследований. Изучен вещественный состав, палеогеографические, палеотектонические и геодинамические условия накопления осадков данных стратиграфических уровней, установлена их фациальная принадлежность. Составлены литолог-стратиграфические колонки скважин и проведена корреляция стратиграфических подразделений разрезов. Уточнена история геологического развития региона. Выявлены потенциальные коллектора и покрышки. Определены стратиграфические горизонты, благоприятные для формирования залежей углеводородного сырья. Обоснованы наиболее перспективные типы ловушек углеводородного сырья по стратиграфическим уровням и выявлена зональность их распространения. Дана оценка перспектив района на выявление залежей нефти и газа. Выделены информативные и качественные признаки (критерии) нефтегазоносности. Обоснованы площади и конкретные структуры для постановки детальных поисковых работ на выявление залежей нефти и газа. Рассчитана оценкапотенциальных ресурсов углеводородного сырья. Даны рекомендации на проведение первоочередных сейсморазведочных и буровых работ. The object of research was the Upper Paleozoic, Mesozoic and Cenozoic sediments composing the section in the East Aral sedimentary basin, in connection with the prospects for identifying oil and gas deposits. The data on stratigraphy, lithology, tectonics, and oil and gas potential of the research area are summarized and systematized. The material composition, paleogeographic, paleotectonic, and geodynamic conditions of sediment accumulation at these stratigraphic levels were studied, and their facies affiliation was established. The lithological and stratigraphic columns of the wells were compiled and the stratigraphic divisions of the sections were correlated. Updated the history of the geological development of the region. Potential collectors and tires have been identified. The stratigraphic horizons favorable for the formation of hydrocarbon deposits are determined. The most promising types of hydrocarbon traps are justified by stratigraphic levels and the zoning of their distribution is revealed. The assessment of the prospects of the area for the identification of oil and gas deposits is given. Informative and qualitative signs (criteria) of oil and gas potential are identified. The areas and specific structures for setting up detailed search operations to identify oil and gas deposits are justified. The estimation of potential resources of hydrocarbon raw materials is calculated. Recommendations for conducting priority seismic exploration and drilling operations are given.
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Bazarniy, VV, NS Petrovich, SV Tsvirenko, and GA Tsaur. "AB0011 The estimation of synovial fluid immunological parameters in rheumatoid arthritis." In Annual European Congress of Rheumatology, Annals of the rheumatic diseases ARD July 2001. BMJ Publishing Group Ltd and European League Against Rheumatism, 2001. http://dx.doi.org/10.1136/annrheumdis-2001.810.
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Курбаниязов, С. К. "STUDY OF OIL AND GAS PROSPECTIVE STRUCTURES OF THE ARAL SEA REGION WITH THE FORECAST OF THEIR RESERVES." In «АКТУАЛЬНЫЕ ВОПРОСЫ СОВРЕМЕННОЙ НАУКИ: ТЕОРИЯ, ТЕХНОЛОГИЯ, МЕТОДОЛОГИЯ И ПРАКТИКА». Международная научно-практическая онлайн-конференция, приуроченная к 60-ти летию член-корреспондента Академии наук ЧР, доктора технических наук, профессора Сайд-Альви Юсуповича Муртазаева. Crossref, 2021. http://dx.doi.org/10.34708/gstou.conf..2021.40.74.011.
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В начале барремского времени море отступило и до начала позднего альба территория представляла собой низменную аккумулятивную равнину, в пределах которой происходило накопление аллювиальных и озерно-аллювиальных отложений: красно-коричневых глин, алевролитов с прослоями коричневых песчаников и песков и линзами темно-серого лигнита. В основании толщи отмечаются гравелиты и конгломераты. В раннемальбе произошла кратковременная трансгрессия моря, однако территория современного Восточного Приаралья не была затоплена и представляла собой прибрежно-морскую равнину, где накапливались глины, алевролиты и песчаники. К концу позднего альба море регрессировало, и территория вновь стала представлять собой низменную аллювиально-озерную равнину. По всей территории происходило накопление пестроцветных глин, зеленовато-серых алевролитов, песков и песчаников, а также углей. При проведении иследовательских работ были обоснованы наиболее перспективные типы ловушек углеводородного сырья по стратиграфическим уровням и выявлена зональность их распространения. Дана оценка перспектив района на выявление залежей нефти и газа. Выделены информативные и качественные признаки (критерии) нефтегазоносности. Обоснованы площади и конкретные структуры для постановки детальных поисковых работ на выявление залежей нефти и газа. Рассчитана оценка потенциальных ресурсов углеводородного сырья. At the beginning of the Barremian time, the sea receded and until the beginning of the late Alb, the territory was a low-lying accumulative plain, within which the accumulation of alluvial and lacustrine-alluvial deposits occurred: red-brown clays, siltstones with layers of brown sandstones and sands and lenses of dark gray lignite. Gravelites and conglomerates are noted at the base of the strata.In the Rannemalba, there was a short-term transgression of the sea, but the territory of the modern Eastern Aral Sea region was not flooded and was a coastal-sea plain, where clays, siltstones and sandstones accumulated. By the end of the Late Alb, the sea regressed and the area again became a low-lying alluvial-lacustrine plain. There was an accumulation of variegated clays, greenish-gray siltstones, sands and sandstones, as well as coals throughout the territory. During the research work, the most promising types of hydrocarbon traps were justified by stratigraphic levels and the zoning of their distribution was revealed. The assessment of the prospects of the area for the identification of oil and gas deposits is given. Informative and qualitative signs (criteria) of oil and gas potential are identified. The areas and specific structures for setting up detailed search operations to identify oil and gas deposits are justified. The estimation of potential resources of hydrocarbon raw materials is calculated.
Reports on the topic "ARDL Estimation"
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Fossong, Derrick, and Ashu Mc Moi Ndi. Digital Tax Policy and Tax Revenue Collection in Cameroon. Institute of Development Studies, 2023. http://dx.doi.org/10.19088/ictd.2023.060.
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Cameroon adopted a digital tax policy some eight years ago. Before full implementation of the digital tax policy in 2016, councils in Cameroon, especially local councils, reported many challenges due to delays and irregularities in central government revenue-sharing (shared taxes). The direct taxes and fees collected by the councils were felt to be low, given the effort needed to collect them. It is important to understand whether adoption of the digital tax policy has increased the much-needed tax revenue for local council projects, and enhanced general tax revenue. General tax revenue refers to compulsory transfers to the central government for public purposes, and is made up of resource rent, direct and indirect taxes, and trade taxes. This study examines the impact of the digital tax policy on tax revenue collection in Cameroon using quarterly data from 2010 to 2021, employing an autoregressive distributed lag (ARDL) estimation technique. The results reveal that the digital tax policy put in place in 2016 had a positive and significant long-term impact on general tax revenue, but a negative and significant short-term impact on general tax revenue. The impact was positive but insignificant on council tax revenue in both the long and short term. Findings indicate that full positive gains from the digital tax policy in Cameroon have not yet been achieved due to local constraints in rural areas. Based on our findings, we recommend that business owners should be trained to use the online declaration and payment system. This will improve ease of use, reduce dependence on agents, and boost collection of general and council tax revenue.