Relevant bibliographies by topics / ARDL Estimation

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'ARDL Estimation'

Author: Grafiati
Published: 5 June 2025
Last updated: 15 July 2025

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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 o
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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 d
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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 prov
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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
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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 proc
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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, tech
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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 behavi
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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 lon
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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 t
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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 T&uuml<br>rkmen&ccedil<br>ardagi - G&ouml<br>rdes region. Since the nickel (Ni) grade recovered from drilling stud
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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
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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
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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 a
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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 m
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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.

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Book 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.
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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 dete
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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 B
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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, Bahrai
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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 reve
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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 uni
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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 uncertai
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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 стратигра
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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, алевролит
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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
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