Exports and growth: Granger causality analysis on OECD countries with a panel data approach

By László Kónya. 2006

815 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/cdc145c3346f65e3a694aa2c830d5bfd0b51a0fe

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Muhammad Shahbaz
2. Ilhan Ozturk
3. Y. Wolde‐Rufael
4. Chien‐Chiang Lee
5. D. Coulibaly
6. Anis Omri
7. Christophe Rault
8. Kojo Menyah

In Environmental Engineering

1. Y. Wolde‐Rufael
2. Kojo Menyah
3. Christophe Rault
4. Muhammad Shahbaz
5. Selim Kayhan
6. M. Chou
7. H. Agir
8. W. Cowan

Citations in the corpus

• Nuclear energy consumption and economic growth in OECD countries: Cross-sectionally dependent heterogeneous panel causality analysis (2011, methodology): “following Kónya (2006) we allow maximal lags to differ across variables.”
• Testing for Granger Non-causality in Heterogeneous Panels (2012, methodology): “Then, contrary to Konya (2006), our testing procedure does not require bootstrap critical values generated by simulations.”
• Oil Prices and Stock Markets: What Drives What in the Gulf Corporation Council Countries? (2010, methodology): “5 As stressed by Kónya (2006), this definition implies causality for one period ahead.”
• Energy consumption and economic growth in the light of meeting the targets of energy policy in the EU (2014, methodology): “Thirdly, the method applied, that is the bootstrap panel causality approach proposed by Kónya [9], yielded the results that are robust to crosssectional dependence and slope heterogeneity and do not suffer from the small-sample problem, since causality tests are based on country-specific bootstrap c”
• Airfreight Transport and Economic Development: An Examination of Causality (2013, methodology): “Following the panel data approach developed by Kónya (2006), in an MSA-by-MSA analysis the possibility of Granger causality between air cargo volume and each local economic variable can be studied using the following bivariate finite-order vector autoregressive (VAR) model Yi, t = a1, i Xm l =…”
• Does tourism development promote economic growth in transition countries? A panel data analysis (2013, methodology): “The bootstrap panel causality approach proposed by Kónya (2006) is able to account for both cross-section dependence and country-specific heterogeneity.”
• Economic growth, exports and foreign direct investment in Least Developed Countries: A panel Granger causality analysis (2012, methodology): “…causality relations among real economic growth, real exports and real net FDI inflows this study employs a new panel-data approach recently developed in Kónya (2006), which is based on seemingly unrelated regression systems (SUR) and Wald tests with country specific bootstrap critical values.”
• Financial development and economic growth nexus in the MENA countries: Bootstrap panel granger causality analysis (2011, methodology): “The panel causality testing approach, developed by Kónya (2006) [Kónya, L. (2006), exports and growth: Granger causality analysis on OECD countries with a panel data approach, Economic Modelling, 23, 978–992], based on the Seemingly Unrelated Regressions and Wald tests with the country specific…”
• The nexus of electricity consumption, economic growth and CO2 emissions in the BRICS countries (2014, methodology): “As indicated by Kónya (2006), the selection of optimal lag structure is of importance because the causality test results may depend critically on the lag structure.”