Global current account imbalances : a panel data analysis using pooled OLS, random effects and fixed effects models.
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This Honors Thesis paper presents an empirical analysis of current account balances using an unbalanced cross-country panel data from 2005-2012. The paper extends Cheung, Furceri and Rusticelli (2013), which analyzes the macroeconomic, structural and cyclical factors behind current account balances, by (1) using more recent data for a larger sample of countries, (2) employing fixed effects and random effects panel data estimation techniques to control for country specific heterogeneity which may be correlated with macroeconomic, structural and cyclical factors, and (3) investigating whether the effects of macroeconomic, structural and cyclical factors on current account balances differ between developed (OECD) countries and developing (non-OECD) countries.
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