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How to Depart Earlier From a Recession?

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  • Se Kyu Choi
  • Felipe Larraín

Abstract

Empirical studies of economic growth across countries are abundant and rich in conclusions, some of them widely accepted. This is not the case, however, with the empirics of business cycles. Particularly, there exists little evidence explaining why some countries take more time than others recovering from economic downturns or recessions. This paper focuses on recessions. We are not interested, however, in the causes of recessions, but in the determinants of their length; thus, we study which economic variables accelerate/retard economic recovery. The results presented in this paper have direct policy implications, as they shed light on which variables can help shorten recessions. From the estimation of count-data models (Poisson and Negative Binomial) and seemingly unrelated regressions, we find clear evidence that more open economies with diversified exports experience shorter recessions. At the same time, the evidence seems to confirm a generally better performance of floating exchange rate regimes as compared to both hard and soft pegs. In the final draft of the paper, we will include institutional explanatory variables

Suggested Citation

  • Se Kyu Choi & Felipe Larraín, 2004. "How to Depart Earlier From a Recession?," Econometric Society 2004 Latin American Meetings 325, Econometric Society.
  • Handle: RePEc:ecm:latm04:325
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    More about this item

    Keywords

    recessions; business cycles; panel data; seemingly unrelated regressions; count-data models.;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)

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