Relevant bibliographies by topics / Small Global Model (Macroeconomics)

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

Academic literature on the topic 'Small Global Model (Macroeconomics)'

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Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Small Global Model (Macroeconomics)"

1

Malley, James R., David Bell, and John Foster. "The specification, estimation and simulation of a small global macroeconomic model." Economic Modelling 8, no. 4 (October 1991): 546–59. http://dx.doi.org/10.1016/0264-9993(91)90033-k.

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Milani, Fabio. "HAS GLOBALIZATION TRANSFORMED U.S. MACROECONOMIC DYNAMICS?" Macroeconomic Dynamics 16, no. 2 (March 13, 2012): 204–29. http://dx.doi.org/10.1017/s1365100510000477.

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This paper estimates a structural New Keynesian model to test whether globalization has changed the behavior of U.S. macroeconomic variables. Several key coefficients in the model–such as the slopes of the Phillips and IS curves, the sensitivities of domestic inflation and output to “global” output, and so forth–are allowed in the estimation to depend on the extent of globalization (modeled as the changing degree of openness to trade of the economy), and, therefore, they become time-varying. The empirical results indicate that globalization can explain only a small part of the reduction in the slope of the Phillips curve. The sensitivity of U.S. inflation to global measures of output may have increased over the sample, but it remains very small. The changes in the IS curve caused by globalization are similarly modest. Globalization does not seem to have led to an attenuation in the effects of monetary policy shocks. The nested closed-economy specification still appears to provide a substantially better fit of U.S. data than various open-economy specifications with time-varying degrees of openness. Some time variation in the model coefficients over the postwar sample exists, particularly in the volatilities of the shocks, but it is unlikely to be related to globalization.
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Khan, Gulzar, Adiqa Kiani, and Ather Maqsood Ahmed. "Globalization, Endogenous Oil Price Shocks and Chinese Economic Activity." LAHORE JOURNAL OF ECONOMICS 22, no. 2 (January 1, 2017): 39–64. http://dx.doi.org/10.35536/lje.2017.v22.i2.a2.

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Using a structural vector autoregressive model, this study investigates the extent to which international oil price shocks have influenced the Chinese economy over the period 1991–2014. Given China’s intensified macroeconomic activity and its increasing demand for energy resources, we also examine the endogenous response of international oil prices to economic conditions in the country. To that end, we derive and empirically estimate a small open-economy New Keynesian model for China and the rest of the world. Our results show that the Chinese economy is relatively more sensitive to global economic conditions than to domestic policy actions. Global productivity shocks appear to be the most important variable causing Chinese macroeconomic activity through trade, where oil prices impact aggregate demand negatively.
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Fang, Xiaoping, Jake Ansell, and Weiya Chen. "Modeling of a Small Transportation Company’s Start-Up with Limited Data during Economic Recession." Discrete Dynamics in Nature and Society 2013 (2013): 1–10. http://dx.doi.org/10.1155/2013/802528.

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This paper presents a modeling method for analyzing a small transportation company’s start-up and growth during a global economic crisis which had an impact on China which is designed to help the owners make better investment and operating decisions with limited data. Since there is limited data, simple regression model and binary regression model failed to generate satisfactory results, so an additive periodic time series model was built to forecast business orders and income. Since the transportation market is segmented by business type and transportation distance, a polynomial model and logistic curve model were constructed to forecast the growth trend of each segmented transportation market, and the seasonal influence function was fitted by seasonal ratio method. Although both of the models produced satisfactory results and showed very nearly the same of goodness-of-fit in the sample, the logistic model presented better forecasting performance out of the sample therefore closer to the reality. Additionally, by checking the development trajectory of the case company’s business and the financial crisis in 2008, the modeling and analysis suggest that the sample company is affected by national macroeconomic factors such as GDP and import & export, and this effect comes with a time lag of one to two years.
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Oladunni, Sunday. "External Shocks and Business Cycle Fluctuations in Oil-exporting Small Open Economies: The Case of Nigeria." Central Bank of Nigeria Journal of Applied Statistics, Vol. 10 No. 2 (February 21, 2020): 39–71. http://dx.doi.org/10.33429/cjas.10219.2/6.

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This study employs a sign-restricted Bayesian structural vector autoregressive (BSVAR) model to analyse how global demand, oil price and the US monetary policy shocks impact the Nigerian business cycle. The objective is to uncover the dominant external drivers of the business cycle in Nigeria. Results show that global demand and oil price shocks are the principal foreign drivers of the Nigerian business cycle. The global demand shock elicits the strongest responses from output growth and inflation; while oil price shock impacts the terms-of-trade and interest rate the most. The historical contributions of the global demand and oil price shocks to the evolution of output growth are significant and comparable, while that of oil price shock to inflation and interest rate is dominant. Further sensitivity analysis of pre-crisis period of 2008/09 suggests that macroeconomic risk arising from global demand shock is systematic, owing to the comparable impact on output growth and similar interest rate response in the two estimations. Evidence suggests that the GFC may have contributed to the more volatile inflation response to global demand shock in our full sample estimation. Given the strong and pervasive impact of the global demand shock on output growth, Nigeria can manage its vulnerability by shrinking the size of oil exports in its terms-of-trade, while growing non-oil exports progressively through sustained economic diversification and viable industrialization strategy.
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Gevorkyan, Aleksandr V. "The foreign exchange regime in a small open economy: Armenia and beyond." Journal of Economic Studies 44, no. 5 (October 9, 2017): 781–800. http://dx.doi.org/10.1108/jes-08-2016-0155.

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Purpose Offering an example of a small open developing economy, the purpose of this paper is to explore the reasons for relative stability in Armenia’s foreign exchange market. Relying on a single currency and derived cross-currency exchange rates, the paper models short-term effects between exchange market pressure and financial and macroeconomic factors. Design/methodology/approach Following a literature review, the paper sets the macroeconomic context with an initial variance comparison of standard currency pairs and derived cross-currency exchange rates. Then, the core analysis is carried out with a vector error correction model, focusing on short-term cross-dynamics in monthly data. The orthogonal impulse response function analyses help solidify and further inform relevant conclusions. Findings Three broad factors influence Armenia’s foreign exchange market: external push factors; domestic banking sector competition, and foreign currency risk perceptions; and domestic macroeconomic and dual, cross-pair, exchange rate target priorities. The central bank’s implicit management of the foreign exchange market’s expectations, pull factor, is consistent with trader market power’s contribution to lower volatility. Yet, the risk of financial and real-sector decoupling remains. Originality/value The results are relevant for emerging markets attempting to leverage the global liquidity and low interest rates, while being exposed to external pressures in the post-crisis environment, in which international reserves may be scarce while currency stability is an implied priority. This study can be further adapted to a more comprehensive structural short-term analysis of currency determination or similar dynamics in other small open economies.
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Kiseľáková, Dana, Beáta Šofranková, Miroslav Gombár, Veronika Čabinová, and Erika Onuferová. "Competitiveness and Its Impact on Sustainability, Business Environment, and Human Development of EU (28) Countries in terms of Global Multi-Criteria Indices." Sustainability 11, no. 12 (June 18, 2019): 3365. http://dx.doi.org/10.3390/su11123365.

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In this paper, the following research problem was addressed: Is there a significant economic impact of multidimensional specified competitiveness within the EU (28) countries on the competitive business environment, human development, and sustainable growth? Based on the mentioned research problem, we formulated the aim of paper: To detect the significant interrelations among the assessment of global competitiveness, business environment as well as human development in the EU (28) countries for the period of 2006–2017. To address these problems, the methodology of global multi-criteria indices, namely the global competitiveness index (GCI), doing business index (DBI), and human development index (HDI), as well as panel analysis and non-linear regression analyses with ANOVA, were applied. The panel analysis results suggest that there is a direct linear relationship between the GCI and HDI. Moreover, the impact of the DBI on the change in the GCI score was not confirmed. We identified the main areas of countries’ interest, and important economic and statistical significant relations of competitiveness by creating three models: The GD model (constructed by GCI and DBI scores), GH model (GCI and HDI scores), and GDH model (GCI, DBI and HDI scores). Based on the results, all interrelations were confirmed. However, the highest extent of variability for the explanation of the selected data was recorded in the case of the GDH model (87.12%). We detected the impact of the business environment and human resources as competitive advantages on global macroeconomic competitiveness. As the business sector in EU (28) countries is represented mainly by small and medium-sized enterprises (SMEs), enterprise activities play a key role in the process of sustainable competitive economic development. Moreover, human resources are considered to be another important driver of the internationalization of European SMEs.
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Devereux, Michael B., and Changhua Yu. "International Financial Integration and Crisis Contagion." Review of Economic Studies 87, no. 3 (October 9, 2019): 1174–212. http://dx.doi.org/10.1093/restud/rdz054.

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Abstract International financial integration helps to diversify risk but also may spread crises across countries. We provide a quantitative analysis of this trade-off in a two-country general equilibrium model with collateral-constrained borrowing using a global solution method. Borrowing constraints bind occasionally, depending upon the state of the economy and levels of inherited debt. We examine different degrees of international financial integration, moving from financial autarky, to bond and equity market integration. Financial integration leads to a significant increase in global leverage, substantially escalates the probability of crises for any one country, and dramatically increases the degree of “contagion” across countries. Outside of crises, the impact of financial integration on macroeconomic aggregates is relatively small. But the impact of a crisis with integrated international financial markets is much less severe than that under financial market autarky. Thus, a trade-off emerges between the probability of crises and the severity of crises. Using a large cross-country database of financial crises in developing and developed economies over a forty-year period, we find evidence in support of the model.
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Oladunni, Sunday. "Oil Price Shocks and Macroeconomic Dynamics in an Oil-Exporting Emerging Economy: A New Keynesian DSGE Approach." Central Bank of Nigeria Journal of Applied Statistics, Vol. 11 No. 1 (September 9, 2020): 1–34. http://dx.doi.org/10.33429/cjas.11120.1/5.

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The global oil dynamics has significant implications for both oil exporting and importing small open economies. However, much of the literature on oil shocks is oriented towards advanced oil-importing economies. Micro-founded studies that explore the effects of oil shocks from the standpoint of oil-endowed emerging economies are rather sparse, compared to the preponderance of studies on developed oil importers and exporters. Thus, resulting to a consequential knowledge gap on oil price transmission mechanism and a limited appreciation of the growing policy dilemmas in these economies. The paper, therefore, sets up a new Keynesian dynamic stochastic general equilibrium (DSGE) model to study how an oil price shock impacts on macroeconomic aggregates in an oil-rich emerging economy. We consider a positive oil price shock to uncover the extent to which oil price increase is positive for the economy. The typical small open economy model is enriched with an export-oriented oil firm, a multi-sector foreign production and a non-oil domestic firm. The model is closed with exchange rate-augmented interest rate rule, and it is calibrated for Nigeria, an important oil producer. Macroeconomic responses, sequel to a simulated positive oil price shock, reveal evidence of Dutch disease and the operation of the Harrod-Balassa-Samuelson effect. We find a compelling need for oil-endowed emerging economies to address these phenomena by ensuring a robust non-oil sector with limited exposure to the vagaries of oil price oscillation.
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Wang, Shu Ping, Tao Wen, and Zhen Xin Wu. "The Evolution of Loss Aversion Coefficient in Energy Futures Market Considering Investor Heterogeneity." Applied Mechanics and Materials 291-294 (February 2013): 1263–70. http://dx.doi.org/10.4028/www.scientific.net/amm.291-294.1263.

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The energy futures market has become the center of global energy market, so, problems in the energy futures market have profound impact on many aspects of the macroeconomic. In this paper, with the premise of the existence of investor heterogeneity, we use stochastic Euler equation and prospect theory to establish a mathematical model of price fluctuations which varies with the time change, and the model is testable for generalized method of moment (GMM) model. According to the GMM estimation results, in the one-year period, when we set a certain time point to be the initial point, with the passage of time, loss aversion coefficient will gradually increase, while it will reduce with the increase of the discount factor. We also verify that the loss aversion coefficient of investors who response to market information rapidly is relatively small. But in the long term, the evolution of loss aversion coefficient needs further research.
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Dissertations / Theses on the topic "Small Global Model (Macroeconomics)"

1

Lau, Ka-woon Roddy. "Monetary policy in a small open economy : a case study of Hong Kong in the light of the Mundell-Fleming model /." [Hong Kong : University of Hong Kong], 1992. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13278824.

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Lau, Ka-woon Roddy, and 劉家換. "Monetary policy in a small open economy: a case study of Hong Kong in the light of the Mundell-Fleming model." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1992. http://hub.hku.hk/bib/B31977005.

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Feldkircher, Martin, Florian Huber, and Gregor Kastner. "Sophisticated and small versus simple and sizeable: When does it pay off to introduce drifting coefficients in Bayesian VARs?" WU Vienna University of Economics and Business, 2018. http://epub.wu.ac.at/6021/1/wp260.pdf.

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We assess the relationship between model size and complexity in the time-varying parameter VAR framework via thorough predictive exercises for the Euro Area, the United Kingdom and the United States. It turns out that sophisticated dynamics through drifting coefficients are important in small data sets while simpler models tend to perform better in sizeable data sets. To combine best of both worlds, novel shrinkage priors help to mitigate the curse of dimensionality, resulting in competitive forecasts for all scenarios considered. Furthermore, we discuss dynamic model selection to improve upon the best performing individual model for each point in time.
Series: Department of Economics Working Paper Series
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Meier, Glen, and Manuel Staehli. "Taking off from Switzerland : A qualitative study of how Swiss Start-Ups internationalize into foreign markets." Thesis, Linnéuniversitetet, Institutionen för marknadsföring (MF), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-56256.

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The purpose of this thesis is to evaluate how Start-Ups from Switzerland pattern their expansion to foreign markets and how prevalent traditional internationalization models are among Start-Ups. In order to conduct the research, the term Start-Up has been defined in comparison to other forms of enterprises. The first part of the literature review has been conducted regarding key concepts within the field of international business such as psychic distance or the choice of the right entry mode. The second part of the literature review has been conducted regarding relevant traditional internationalization theories as well as the international entrepreneurship theory, as counterpart to traditional internationalization theories. The theories have resulted in a conceptual framework that reveals the relations between the different theories. The thesis is built on a qualitative approach on the basis of a multiple case study by means of three interviews with Swiss Start-Ups. Further the thesis has followed a deductive approach to first build a profound knowledge about the internationalization process of Start-Ups. The authors of this thesis consider a good pre understanding of the research area as relevant to observe a pattern from the empirical observations. In the analysis chapter the differences and similarities between the theory and the empirical findings were discussed. The structure of both chapters, empirical findings and analysis, are structured in accordance with the conceptual framework. On the basis of the analysis, the conclusion chapter presents the responses of three research questions. Further the final chapter consists of theoretical and practical implications and recommendations as well as limitations and ends with proposals for a further research.
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Zeugner, Stefan. "Macroeconometrics with high-dimensional data." Doctoral thesis, Universite Libre de Bruxelles, 2012. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209640.

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CHAPTER 1:

The default g-priors predominant in Bayesian Model Averaging tend to over-concentrate posterior mass on a tiny set of models - a feature we denote as 'supermodel effect'. To address it, we propose a 'hyper-g' prior specification, whose data-dependent shrinkage adapts posterior model distributions to data quality. We demonstrate the asymptotic consistency of the hyper-g prior, and its interpretation as a goodness-of-fit indicator. Moreover, we highlight the similarities between hyper-g and 'Empirical Bayes' priors, and introduce closed-form expressions essential to computationally feasibility. The robustness of the hyper-g prior is demonstrated via simulation analysis, and by comparing four vintages of economic growth data.

CHAPTER 2:

Ciccone and Jarocinski (2010) show that inference in Bayesian Model Averaging (BMA) can be highly sensitive to small data perturbations. In particular they demonstrate that the importance attributed to potential growth determinants varies tremendously over different revisions of international income data. They conclude that 'agnostic' priors appear too sensitive for this strand of growth empirics. In response, we show that the found instability owes much to a specific BMA set-up: First, comparing the same countries over data revisions improves robustness. Second, much of the remaining variation can be reduced by applying an evenly 'agnostic', but flexible prior.

CHAPTER 3:

This chapter explores the link between the leverage of the US financial sector, of households and of non-financial businesses, and real activity. We document that leverage is negatively correlated with the future growth of real activity, and positively linked to the conditional volatility of future real activity and of equity returns.

The joint information in sectoral leverage series is more relevant for predicting future real activity than the information contained in any individual leverage series. Using in-sample regressions and out-of sample forecasts, we show that the predictive power of leverage is roughly comparable to that of macro and financial predictors commonly used by forecasters.

Leverage information would not have allowed to predict the 'Great Recession' of 2008-2009 any better than conventional macro/financial predictors.

CHAPTER 4:

Model averaging has proven popular for inference with many potential predictors in small samples. However, it is frequently criticized for a lack of robustness with respect to prediction and inference. This chapter explores the reasons for such robustness problems and proposes to address them by transforming the subset of potential 'control' predictors into principal components in suitable datasets. A simulation analysis shows that this approach yields robustness advantages vs. both standard model averaging and principal component-augmented regression. Moreover, we devise a prior framework that extends model averaging to uncertainty over the set of principal components and show that it offers considerable improvements with respect to the robustness of estimates and inference about the importance of covariates. Finally, we empirically benchmark our approach with popular model averaging and PC-based techniques in evaluating financial indicators as alternatives to established macroeconomic predictors of real economic activity.
Doctorat en Sciences économiques et de gestion
info:eu-repo/semantics/nonPublished

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Cicconi, Claudia. "Essays on macroeconometrics and short-term forecasting." Doctoral thesis, Universite Libre de Bruxelles, 2012. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209660.

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The thesis, entitled "Essays on macroeconometrics and short-term forecasting",

is composed of three chapters. The first two chapters are on nowcasting,

a topic that has received an increasing attention both among practitioners and

the academics especially in conjunction and in the aftermath of the 2008-2009

economic crisis. At the heart of the two chapters is the idea of exploiting the

information from data published at a higher frequency for obtaining early estimates

of the macroeconomic variable of interest. The models used to compute

the nowcasts are dynamic models conceived for handling in an efficient way

the characteristics of the data used in a real-time context, like the fact that due to the different frequencies and the non-synchronicity of the releases

the time series have in general missing data at the end of the sample. While

the first chapter uses a small model like a VAR for nowcasting Italian GDP,

the second one makes use of a dynamic factor model, more suitable to handle

medium-large data sets, for providing early estimates of the employment in

the euro area. The third chapter develops a topic only marginally touched

by the second chapter, i.e. the estimation of dynamic factor models on data characterized by block-structures.

The firrst chapter assesses the accuracy of the Italian GDP nowcasts based

on a small information set consisting of GDP itself, the industrial production

index and the Economic Sentiment Indicator. The task is carried out by using

real-time vintages of data in an out-of-sample exercise over rolling windows

of data. Beside using real-time data, the real-time setting of the exercise is

also guaranteed by updating the nowcasts according to the historical release calendar. The model used to compute the nowcasts is a mixed-frequency Vector

Autoregressive (VAR) model, cast in state-space form and estimated by

maximum likelihood. The results show that the model can provide quite accurate

early estimates of the Italian GDP growth rates not only with respect

to a naive benchmark but also with respect to a bridge model based on the

same information set and a mixed-frequency VAR with only GDP and the industrial production index.

The chapter also analyzes with some attention the role of the Economic Sentiment

Indicator, and of soft information in general. The comparison of our

mixed-frequency VAR with one with only GDP and the industrial production

index clearly shows that using soft information helps obtaining more accurate

early estimates. Evidence is also found that the advantage from using soft

information goes beyond its timeliness.

In the second chapter we focus on nowcasting the quarterly national account

employment of the euro area making use of both country-specific and

area wide information. The relevance of anticipating Eurostat estimates of

employment rests on the fact that, despite it represents an important macroeconomic

variable, euro area employment is measured at a relatively low frequency

(quarterly) and published with a considerable delay (approximately

two months and a half). Obtaining an early estimate of this variable is possible

thanks to the fact that several Member States publish employment data and

employment-related statistics in advance with respect to the Eurostat release

of the euro area employment. Data availability represents, nevertheless, a

major limit as country-level time series are in general non homogeneous, have

different starting periods and, in some cases, are very short. We construct a

data set of monthly and quarterly time series consisting of both aggregate and

country-level data on Quarterly National Account employment, employment

expectations from business surveys and Labour Force Survey employment and

unemployment. In order to perform a real time out-of-sample exercise simulating

the (pseudo) real-time availability of the data, we construct an artificial

calendar of data releases based on the effective calendar observed during the first quarter of 2012. The model used to compute the nowcasts is a dynamic

factor model allowing for mixed-frequency data, missing data at the beginning

of the sample and ragged edges typical of non synchronous data releases. Our

results show that using country-specific information as soon as it is available

allows to obtain reasonably accurate estimates of the employment of the euro

area about fifteen days before the end of the quarter.

We also look at the nowcasts of employment of the four largest Member

States. We find that (with the exception of France) augmenting the dynamic

factor model with country-specific factors provides better results than those

obtained with the model without country-specific factors.

The third chapter of the thesis deals with dynamic factor models on data

characterized by local cross-correlation due to the presence of block-structures.

The latter is modeled by introducing block-specific factors, i.e. factors that

are specific to blocks of time series. We propose an algorithm to estimate the model by (quasi) maximum likelihood and use it to run Monte Carlo

simulations to evaluate the effects of modeling or not the block-structure on

the estimates of common factors. We find two main results: first, that in finite samples modeling the block-structure, beside being interesting per se, can help

reducing the model miss-specification and getting more accurate estimates

of the common factors; second, that imposing a wrong block-structure or

imposing a block-structure when it is not present does not have negative

effects on the estimates of the common factors. These two results allow us

to conclude that it is always recommendable to model the block-structure

especially if the characteristics of the data suggest that there is one.
Doctorat en Sciences économiques et de gestion
info:eu-repo/semantics/nonPublished

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Sunde, Tafirenyika. "A small macro-econometric model for Namibia emphasising the dynamic modelling of the wage-price, productivity and unemployment relationship." Thesis, 2015. http://hdl.handle.net/10500/21721.

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The contribution of this thesis is to build a small macro-econometric model of the Namibian economy, which demonstrates that there is significant statistical support for the hypothesis that there is a contemporaneous relationship between real wage, productivity, unemployment and interest rates in Namibia. This phenomenon has not yet been exploited using macro-econometric modelling, and thus, represents a significant contribution to modelling literature in Namibia. The determination of the sources of unemployment also receives special attention given that high unemployment is a chronic problem in Namibia. All models specified and estimated in the study use the SVAR methodology for the period 1980 to 2013. The study develops a small macro-econometric model using three modular experiments, which include, a basic model, models that separately append demand and exchange rate channels variables to the basic model, and the specification of a small macro-econometric model. The ultimate aim is to find out if monetary policy plays a role in influencing labour market and nominal variables. The hypothesis that the basic real wage, productivity, unemployment rate and interest rate system can be estimated simultaneously is validated. Further, demand and exchange rate channels variables are found to have important additional information, which explains the monetary transmission process, and that shocks to labour market variables affect monetary policy in Namibia. The results also show that the demand channel (import prices and bank credit to the private sector) and the exchange rate channel (nominal exchange rate) variables have important additional information, which affects monetary transmission process in Namibia, which justifies their inclusion in the small macro-econometric model. In addition, shocks to the import price and exchange rate in the macro-econometric model significantly affect labour market variables. However, shocks to bank credit only partially perform as expected, implying that its results need to be considered cautiously. The study further finds that tight monetary policy shocks significantly affect real and nominal variables in Namibia. The results also show that shocks to all variables in the unemployment model significantly affect unemployment, suggesting that the hysteresis assumption is corroborated. This implies that long run aggregate demand is non-neutral in Namibia.
Economics
D. Litt. et Phil. (Economics)
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Books on the topic "Small Global Model (Macroeconomics)"

1

Malley, James R. The specification, estimation, and simulation of a small global macroeconomic model. [Washington, DC] (1301 New York Ave., NW, Washington 20005-4788): U.S. Dept. of Agriculture, Economic Research Service, Agriculture and Rural Economy Division, 1990.

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Murchison, Stephen. A structural small open-economy model for Canada. Ottawa, Ont: Bank of Canada, 2004.

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Murchison, Stephen. A structural small open-economy model for Canada. Ottawa: Bank of Canada, 2004.

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Murchison, Stephen. A structural small open-economy model for Canada. Ottawa: Bank of Canada, 2004.

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McKibbin, Warwick J. The McKibbin-Sachs global model: Theory and specification. Cambridge, MA: National Bureau of Economic Research, 1989.

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Ahlstedt, Monica. Small sample estimation and stochastic simulation of an econometric model. Helsinki: Suomen Pankki, 1986.

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Lalonde, René. The Bank of Canada's version of the global economy model (BoC-GEM). Ottawa: Bank of Canada, 2007.

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Piretti, Anna. Launching the NEUQ: The New European Union Quarterly model, a small model of the euro area and U.K. economies. Ottawa: Bank of Canada, 2006.

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Basdevant, Olivier. Learning process and rational expectations: An analysis using a small macroeconomic model for New Zealand. Wellington, N.Z: Reserve Bank of New Zealand, Economics Dept., 2003.

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Shin, Ku. The effects of the changing policy environment on the global economy: A small-scale model approach. Santa Monica, CA: Rand Corporation, 1992.

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Book chapters on the topic "Small Global Model (Macroeconomics)"

1

Holtham, Gerald, and Andrew Hughes Hallett. "International Policy Cooperation and Model Uncertainty." In Global Macroeconomics: Policy Conflict and Cooperation, 128–84. London: Palgrave Macmillan UK, 1987. http://dx.doi.org/10.1007/978-1-349-18916-8_5.

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Currie, David, Paul Levine, and Nic Vidalis. "International Cooperation and Reputation in an Empirical Two-Bloc Model." In Global Macroeconomics: Policy Conflict and Cooperation, 75–127. London: Palgrave Macmillan UK, 1987. http://dx.doi.org/10.1007/978-1-349-18916-8_4.

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Indarto, Aprih Santoso, and P. Chatarina Yekti. "Exploration of social responsibility implementation model in small and medium micro enterprises." In Facing Global Digital Revolution, 199–202. Boca Raton : CRC Press, Taylor & Francis Group, [2020] | “Proceedings of the 1st International Conference on Economics, Management, and Accounting (BES 2019), July 10, 2019, Semarang, Indonesia”--Title page.: Routledge, 2020. http://dx.doi.org/10.1201/9780429322808-47.

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Strzepek, Katy, Beatrice Jacobson, and Katherine Van Blair. "The Long Table Model: Bringing Transnational Feminist Debates to a Small Midwestern University." In Transnational Borderlands in Women’s Global Networks, 221–39. New York: Palgrave Macmillan US, 2011. http://dx.doi.org/10.1057/9780230119475_11.

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Hameyer, Kay, and Ronnie Belmans. "Automated Optimal Design of a Small Dc Motor with Global Evolution Strategy and FEM-Model." In Electric and Magnetic Fields, 369–72. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-1961-4_85.

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Karmacharya, Dikpal Krishna, Tirth Raj Ghimire, and Ganga Ram Regmi. "Small and Effective NGOs as a Role Model for Bigger Success: The Global Primate Network (Now ‘Third Pole Conservancy’)." In Hindu Kush-Himalaya Watersheds Downhill: Landscape Ecology and Conservation Perspectives, 749–69. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36275-1_39.

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Romagnoli, Dania, and Maria Emilia Garbelli. "Why Promoting Online in a Global Electronic Marketplace Is a Successful Strategy for Small and Medium Sized Enterprises: The Alibaba Group Holding Business Model." In Country Experiences in Economic Development, Management and Entrepreneurship, 423–42. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46319-3_26.

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Takeda, Shiro. "The Competitiveness Issue of the Japanese Economy Under Carbon Pricing: A Computable General Equilibrium Analysis of 2050." In Economics, Law, and Institutions in Asia Pacific, 181–96. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6964-7_10.

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Abstract Using a computable general equilibrium (CGE) model, this paper investigates the impact of carbon regulations on the Japanese economy. We use an 11-sector, 15-region global dynamic CGE model with a time span from 2011 to 2050. We assume that Japan (along with other developed regions) reduces CO2 emissions by 80% by 2050 and analyze the impact on the Japanese economy. In particular, we consider multiple scenarios of CO2 reduction rates in less developed regions and analyze how changes in CO2 reduction in these regions affect Japan. In addition, we also consider multiple scenarios of the use of a border adjustment policy and analyze its impact. Our simulation results are summarized as follows. First, an 80% CO2 reduction in Japan generates large negative impacts on the Japanese economy in terms of both the macroeconomy and individual sectors. Second, changes in the reduction rates in less developed regions have only a small impact on Japan. Third, the use of border adjustment in Japan has a small impact on the GDP and welfare of Japan overall but a large impact on output in the energy intensive sectors. When future climate change policies in Japan are discussed, much attention is usually paid to climate policy in less developed regions. However, the second result of our analysis suggests that climate change policy in less developed regions has only a small impact on Japan. In addition, the third result indicates that the effectiveness of border adjustment is limited.
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Quicke, Donald L. J., Buntika A. Butcher, and Rachel A. Kruft Welton. "Species abundance, accumulation and diversity data." In Practical R for biologists: an introduction, 200–217. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789245349.0200.

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Abstract Ecologists in particular are often interested in the species richness and diversity of groups of organisms, ranging from studies of small ecosystems to global patterns. In most cases it is not possible to count every individual or to detect every species, and so they use a variety of estimation methods and summary statistics that will be briefly introduce in this chapter. This chapter covers estimating species abundance and species richness by looking at accumulation curves. Analyzing diversity using tests such as the Shannon and Simpson diversity indices are also discussed. Finally, patterns of niche partitioning using the broken stick model are created. An example is shown, using transect surveys of butterflies in Papua New Guinea.
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Quicke, Donald L. J., Buntika A. Butcher, and Rachel A. Kruft Welton. "Species abundance, accumulation and diversity data." In Practical R for biologists: an introduction, 200–217. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789245349.0018.

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Abstract Ecologists in particular are often interested in the species richness and diversity of groups of organisms, ranging from studies of small ecosystems to global patterns. In most cases it is not possible to count every individual or to detect every species, and so they use a variety of estimation methods and summary statistics that will be briefly introduce in this chapter. This chapter covers estimating species abundance and species richness by looking at accumulation curves. Analyzing diversity using tests such as the Shannon and Simpson diversity indices are also discussed. Finally, patterns of niche partitioning using the broken stick model are created. An example is shown, using transect surveys of butterflies in Papua New Guinea.
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Conference papers on the topic "Small Global Model (Macroeconomics)"

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Tören, Evrim. "On the Source of Macroeconomic Fluctuations in the Middle Eastern and North African Countries: A Structural Vector Autoregression Analysis." In International Conference on Eurasian Economies. Eurasian Economists Association, 2013. http://dx.doi.org/10.36880/c04.00684.

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This study investigates the relative importance of various shocks in accounting for output fluctuations in the Middle East and North Africa (MENA) countries. The macroeconomic shocks are decomposed into country-specific, regional, and global sources by using a small open economy structural vector autoregression (SVAR) model. In order to explain output volatility in Middle East and North Africa, the relative importance of each shock in 15 MENA countries is identified in this study. The results show that country-specific factors account for most of the output volatility in the region. For less than half of the countries in the region, global shocks play a significant role in explaining output volatility. Contrary to some findings in the empirical literature, especially on Sub-Saharan Africa, the regional factor does not seem to have a statistically significant impact in any of the countries under consideration. The results are uniform and no statistically significant difference is observed for the countries in the MENA region. Furthermore, oil-exporting and oil-poor countries in the sample do not show any noticeable difference.
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Meng, Yue, Chunxiao Jiang, Zhu Han, Tony Q. S. Quek, and Yong Ren. "Learning in Small Cell Networks: A Social Interactive Model." In GLOBECOM 2015 - 2015 IEEE Global Communications Conference. IEEE, 2015. http://dx.doi.org/10.1109/glocom.2015.7417449.

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Meng, Yue, Chunxiao Jiang, Zhu Han, Tony Q. S. Quek, and Yong Ren. "Learning in Small Cell Networks: A Social Interactive Model." In GLOBECOM 2015 - 2015 IEEE Global Communications Conference. IEEE, 2014. http://dx.doi.org/10.1109/glocom.2014.7417449.

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Han, Peng, Xiling Yao, Jiayuan Zhan, and Yuanyuan Bai. "A Bootstrap-Bayesian Dynamic Modification Model Based on Small Sample Target Features." In Global Oceans 2020: Singapore - U.S. Gulf Coast. IEEE, 2020. http://dx.doi.org/10.1109/ieeeconf38699.2020.9389444.

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Luo, Diansong, Tie Qiu, Nakema Deonauth, and Aoyang Zhao. "A small world model for improving robustness of heterogeneous networks." In 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP). IEEE, 2015. http://dx.doi.org/10.1109/globalsip.2015.7418317.

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Mandelli, Stefano, Emanuela Colombo, Andrea Redondi, Francesco Bernardi, Bonaventure B. Saanane, Prosper Mgaya, and Johnstone Malisa. "A small-hydro plant model for feasibility analysis of electrification projects in Rural Tanzania." In 2013 IEEE Global Humanitarian Technology Conference (GHTC). IEEE, 2013. http://dx.doi.org/10.1109/ghtc.2013.6713646.

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Arvanitakis, George, Thrasyvoulos Spyropoulos, and Florian Kaltenberger. "An Analytical Model for Flow-Level Performance of Large, Randomly Placed Small Cell Networks." In GLOBECOM 2016 - 2016 IEEE Global Communications Conference. IEEE, 2016. http://dx.doi.org/10.1109/glocom.2016.7841582.

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Babu, Satish. "A software model for precision agriculture for small and marginal farmers." In 2013 IEEE Global Humanitarian Technology Conference: South Asia Satellite (GHTC-SAS). IEEE, 2013. http://dx.doi.org/10.1109/ghtc-sas.2013.6629944.

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Astuti, Mudji, and Hana Catur Wahyun. "Human Capital Integration Model With Technology Innovation In Small And Medium Enterprises (SME)." In 1st International Conference on Intellectuals' Global Responsibility (ICIGR 2017). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/icigr-17.2018.6.

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Maviel, Laurent, Yves Lostanlen, and Jean-Marie Gorce. "A hybrid propagation model for large-scale variations caused by vehicular traffic in small cells." In GLOBECOM 2012 - 2012 IEEE Global Communications Conference. IEEE, 2012. http://dx.doi.org/10.1109/glocom.2012.6503916.

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Reports on the topic "Small Global Model (Macroeconomics)"

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Kim, Changmo, Ghazan Khan, Brent Nguyen, and Emily L. Hoang. Development of a Statistical Model to Predict Materials’ Unit Prices for Future Maintenance and Rehabilitation in Highway Life Cycle Cost Analysis. Mineta Transportation Institute, December 2020. http://dx.doi.org/10.31979/mti.2020.1806.

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The main objectives of this study are to investigate the trends in primary pavement materials’ unit price over time and to develop statistical models and guidelines for using predictive unit prices of pavement materials instead of uniform unit prices in life cycle cost analysis (LCCA) for future maintenance and rehabilitation (M&R) projects. Various socio-economic data were collected for the past 20 years (1997–2018) in California, including oil price, population, government expenditure in transportation, vehicle registration, and other key variables, in order to identify factors affecting pavement materials’ unit price. Additionally, the unit price records of the popular pavement materials were categorized by project size (small, medium, large, and extra-large). The critical variables were chosen after identifying their correlations, and the future values of each variable were predicted through time-series analysis. Multiple regression models using selected socio-economic variables were developed to predict the future values of pavement materials’ unit price. A case study was used to compare the results between the uniform unit prices in the current LCCA procedures and the unit prices predicted in this study. In LCCA, long-term prediction involves uncertainties due to unexpected economic trends and industrial demand and supply conditions. Economic recessions and a global pandemic are examples of unexpected events which can have a significant influence on variations in material unit prices and project costs. Nevertheless, the data-driven scientific approach as described in this research reduces risk caused by such uncertainties and enables reasonable predictions for the future. The statistical models developed to predict the future unit prices of the pavement materials through this research can be implemented to enhance the current LCCA procedure and predict more realistic unit prices and project costs for the future M&R activities, thus promoting the most cost-effective alternative in LCCA.
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