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Volatility and growth: a not so straightforward relationship

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  • Dimitrios Bakas
  • Georgios Chortareas
  • Georgios Magkonis

Abstract

Conflicting theoretical models and diverse empirical evidence characterize research analysing the relationship between business cycle volatility and economic growth. While the average reported effect of volatility on growth is negative, the empirical estimates vary substantially across studies. We identify the factors that explain this heterogeneity in estimates by conducting a meta-analysis. Our evidence suggests that researchers’ choices regarding the measure of volatility, the control set of the estimated equation, the estimation methods, and the data characteristics can all explain the differences in the reported estimates. Finally, the literature is found to be free of publication bias.

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  • Dimitrios Bakas & Georgios Chortareas & Georgios Magkonis, 2019. "Volatility and growth: a not so straightforward relationship," Oxford Economic Papers, Oxford University Press, vol. 71(4), pages 874-907.
    • Handle: RePEc:oup:oxecpp:v:71:y:2019:i:4:p:874-907.
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    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

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