DETERMINANTS OF INTRA-INDUSTRY TRADE: AN INVESTIGATION WITH BMA FOR THE EUROPEAN UNION
AbstractThe empirical literature on the determinants of intra-industry trade (IIT) is vast and comprehensive, yet as authors failed to properly account for model uncertainty it has brought inconsistent and conflicting results. To resolve this issue, Bayesian model averaging was applied to investigate the robustness of 48 potential determinants of bilateral IIT for the panel of 26 European Union countries over the 1999-2011 period. Application of BMA demonstrated that 11 of them are robust determinants of IIT, namely real GDP products, trade openness, membership in the European Union and the Euro area, corruption, and differences in factor abundance. Among the factors of production, the key role in the determination of IIT patterns can be assigned to the differences in human capital. Yet, transportation cost and cultural similarity have no impact on the IIT patterns.
Beck, K. (2017). Bayesian Model Averaging and Jointness Measures: Theoretical Framework and Application to the Gravity Model of Trade. STATISTICS IN TRANSITION new series, 18(3), 393-412.
Dautovic E., Orszaghova L., Schudel W. (2014). Intra-industry Trade between CESEE countries and the EU15. ECB Working Paper, 1719.
Doppelhofer, G., Weeks, M. (2009). Jointness of Growth Determinants. Journal of Applied Econometrics, 24(2), 209-244.
Feenstra, R.C., Inklaar, R., Timmer, M.P. (2015). The Next Generation of the Penn World Table. American Economic Review, 105(10), 3150-3182.
Eicher, T., Papageorgiou, C., Raftery, A. E. (2011). Determining Growth Determinants: Default Priors and Predictive Performance in Bayesian Model Averaging. Journal of Applied Econometrics, 26(1), 30-55.
Fernández, C., Ley, E., Steel, M. (2001). Benchmark priors for Bayesian model averaging. Journal of Econometrics, 100(2), 381-427.
Feldkircher, M., Zeugner, S. (2009). Benchmark Priors Revisited: On Adaptive Shrinkage and the Supermodel Effect in Bayesian Model Averaging. IMF Working Paper, 202.
Flam, H., Helpman, E. (1987), Vertical Product Differentiation and North-South Trade. American Economic Review, 77(5), 810-822.
Foster, D., George, E. (1994). The Risk Inflation Criterion for Multiple Regression. The Annals of Statistics, 22(4), 1947-1975.
George, E., Foster, D. (2000). Calibration and empirical Bayes variable selection. Biometrika, 87(4), 731-747.
Hoeting, J., Madigan, D., Raftery, A., Volinsky, C. (1999). Bayesian Model Averaging: A Tutorial. Statistical Science, 14(4), 382-417.
Jensen, L., Lüthje, T. (2009). Driving forces of vertical intra-industry trade in Europe 1996-2005. Review of World Economics, 145, 469-488.
Kass, R., Wasserman, L. (1995). A Reference Bayesian Test for Nested Hypotheses and Its Relationship to the Schwarz Criterion. Journal of the American Statistical Association, 90(431), 928-934.
Krugman, P. (1981). Intraindustry Specialization and the Gains from Trade. Journal of Political Economy, 89(5), 959-973.
Ley, E., Steel, M. (2009). On the Effect of Prior Assumptions in Bayesian Model Averaging with Applications to Growth Regressions. Journal of Applied Econometrics, 24(4), 651-674.
Ley, E., Steel, M. (2012). Mixtures of g-priors for Bayesian model averaging with economic applications. Journal of Econometrics, 171(2), 251-266.
Sayer, W.C., Sprinkle R.L., Tochkov K. (2010). Pattern and determinants of intra-industry trade in Asia. Journal of Asian Economics, 21(5), 485-493.
Sharma, K. (2004). Horizontal and vertical intra-industry trade in Australian manufacturing: does trade liberalization have any impact? Applied Economics, 36(15), 1723-1730.
Standaert, S. (2015). Divining the level of corruption: a bayesian state-space approach. Journal of Comparative Economics, 43(3), 782–803.
Thorpe, M., Zhang, Z. (2005). Study of the Measurement and Determinants of Intra-industry Trade in East Asia. Asian Economic Journal, 19(2), 231-247.
Torstensson, J. (1996). Determinants of Intra-industry Trade: A Sensitivity Analysis. Oxford Bulletin of Economics and Statistics, 58(3), 507-524.
Zhang, Y., Clark D. P. (2009). Pattern and Determinants of United States’ Intra-industry trade. International Trade Journal, 23(3), 325-356.
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