Arbeitspapier

Determinants and Costs of Current Account Reversals under Heterogeneity and Serial Correlation

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.

Language
Englisch

Bibliographic citation
Series: Economics Working Paper ; No. 2007-17

Classification
Wirtschaft
Current Account Adjustment; Short-term Capital Movements
Economic Growth of Open Economies
Multiple or Simultaneous Equation Models: Panel Data Models; Spatio-temporal Models
Multiple or Simultaneous Equation Models: Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
Multiple or Simultaneous Equation Models; Multiple Variables: General
Subject
Current account reversals
Bayesian Analysis
Panel Probit Model
Panel Treatment Model
Random Parameters
Serial Correlation
Leistungsbilanz
Zahlungsbilanzungleichgewicht
Anpassungskosten
Bayes-Statistik
Schätztheorie
Probit-Modell
Schätzung
Welt

Event
Geistige Schöpfung
(who)
Aßmann, Christian
Event
Veröffentlichung
(who)
Kiel University, Department of Economics
(where)
Kiel
(when)
2007

Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Aßmann, Christian
  • Kiel University, Department of Economics

Time of origin

  • 2007

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