Output hysteresis in the US: new evidence from a time-varying Verdoorn's law

Pedro Clavijo

Journal of Economic Studies, 2021, vol. 49, issue 1, 185-197

Abstract: Purpose - This study aims to contribute to the current and well-documented phenomenon of hysteresis in the US economy after the Great Financial Recession. Compelling reasons lead me to believe that Verdoorn's law can be used to explain this phenomenon by relating hysteresis to a fall in the size of returns to scale of the whole economy. Design/methodology/approach - Verdoorn's law is estimated using a time-varying regression model that employs Bayesian methods to examine the evolution of the Verdoorn coefficient. The investigation uses a bivariate time-varying model to estimate long-run growth rates of output and productivity while controlling for potential endogeneity problems. Findings - The study finds substantial variation in the Verdoorn coefficient across time as well as a significant fall of it in the onset of the Great Financial Recession, which confirms the presence of hysteresis in the US economy. Additionally, it also finds a fall in the size of productivity shocks, and in the long-run growth rates of output and productivity according to previous studies. Originality/value - The empirical investigation uses, novel to the literature on Verdoorn's law to date, a bivariate time-varying regression model with stochastic volatility. It also employs quarterly productivity data for a considerably long period, which to my knowledge, has not been used by previous works. Most importantly, this approach contemplates positive hysteresis––typically neglected––which provides a less bleak panorama.

Keywords: Time-varying regression; Verdoorn's law; Bayesian inference; Stochastic volatility; Hysteresis (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eme:jespps:jes-06-2020-0263

DOI: 10.1108/JES-06-2020-0263

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