Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/22033
Authors: 
Aßmann, Christian
Year of Publication: 
2007
Series/Report no.: 
Economics working paper / Christian-Albrechts-Universität Kiel, Department of Economics 2007,17
Abstract: 
Recent empirical evidence suggests that reversing current account balances imply costly adjustment processes leading to reduced economic growth. Using large panel data sets to analyze determinants and costs of reversals asks for controls of heterogeneity among countries. This paper contributes a Bayesian analysis, which allows a parsimonious yet flexible handling of country specific heterogeneity via random coeffcients. Furthermore, the analysis allows for serially correlated errors in order to capture persistence within the employed macroeconomic data. Bayesian specification tests provide evidence in favor of models incorporating heterogeneity and serial correlation. The results suggest that consideration of serial correlation and heterogeneity is necessary to assess correctly the determinants and costs of reversals. Results are checked for robustness against the underlying reversal definition.
Subjects: 
Current account reversals
Bayesian Analysis
Panel Probit Model
Panel Treatment Model
Random Parameters
Serial Correlation
JEL: 
F32
F43
C33
C35
C30
Document Type: 
Working Paper

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