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Start Over Author "Fuat LEBE" Topic panel causality
3 results on '"Fuat LEBE"'

1. Financial Development and Economic Growth in European Countries: Bootstrap Causality Analysis

Author

Fuat Lebe

Subjects
Financial development, economic growth, European countries, panel causality, bootstrap., Political science, Social Sciences
Abstract

In the present study, it was investigated whether there was a causality relationship between financial development and economic growth for sixteen European countries. Data from the period of 1988-2012 was analyzed using the bootstrap panel causality test, which takes cross-section dependence and heterogeneity into account. The results of the test showed that there was a strong causality relationship between financial development and economic growth in European countries. In European countries, there was a causality relationship from economic growth to financial development and from financial development to economic growth. These results support both the supply-leading and the demand-following hypotheses. Therefore, it can be said that the feedback hypothesis is valid for European countries.

Published
2016

2. Analyzing The Relationship Among The GDP - Current Account Deficit and Short Term Capital Flows: The Case of Emerging Markets

Author

Yusuf Ekrem AKBAŞ, Fuat LEBE, and Osman ULUYOL

Subjects
GDP, current account deficit, short term capital flows, panel causality, emerging markets, Management. Industrial management, HD28-70, Economics as a science, HB71-74
Abstract

In this study, it was analyzed if there was causal relationship among the current deficit, short term capital flows and economic growth in emerging markets. Before causality test was done, CDLM tests were done in order to the fact that to be able to determine if there was cross section dependence in countries form the panel. At the end of CDLM tests cross section dependence in emerging markets form the panel was determined. Then, panel causality test developed was done. According to the result of panel causality test bidirectional causality between current account deficit and GDP, unidirectional causality from short term capital flows to current deficit and GDP were determined.

Published
2014

3. Nuclear energy consumption and economic growth in OECD countries: Cross-sectionally dependent heterogeneous panel causality analysis

Author

Saban Nazlioglu, Fuat Lebe, and Selim Kayhan

Subjects
Energy utilization, Time series, Public policy, Labor force, Control variable, Time series analysis, Statistical tools, Management, Monitoring, Policy and Law, OECD countries, Energy policy, energy use, Causality (physics), panel data, alternative energy, renewable resource, Economic growths, Empirical model, Policy implications, Econometrics, Economics, nuclear power, Causality analysis, Economic growth, Neutrality hypothesis, Panel causality, Economic and social effects, business.industry, Economic analysis, Nuclear energy, Energy consumption, International economics, Nuclear power, Nuclear energy consumption, General Energy, OECD, business, Sensitivity analysis, Statistical mechanics, Panel data
Abstract

The purpose of this study is to determine the direction causality between nuclear energy consumption and economic growth in OECD countries. The empirical model that includes capital and labor force as the control variables is estimated for the panel of fourteen OECD countries during the period 1980-2007. Apart from the previous studies in the nuclear energy consumption and economic growth relationship, this study utilizes the novel panel causality approach, which allows both cross-sectional dependency and heterogeneity across countries. The findings show that there is no causality between nuclear energy consumption and economic growth in eleven out of fourteen cases, supporting the neutrality hypothesis. As a sensitivity analysis, we also conduct Toda-Yamamoto time series causality method and find out that the results from the panel causality analysis are slightly different than those from the time-series causality analysis. Thereby, we can conclude that the choice of statistical tools in analyzing the nature of causality between nuclear energy consumption and economic growth may play a key role for policy implications. © 2011 Elsevier Ltd.

Published
2011

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