Do SVAR Models Justify Discarding the Technology Shock-Driven Real Business Cycle Hypothesis?
Hyeon‐seung Huh, David Kim
Abstract
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Hyeon‐seung Huh, David Kim
Abstract
Open-access reader
This paper investigates the validity of technology shocks as a driving force of U.S. business cycle fluctuations. Using three well-known structural vector autoregression (SVAR) models, we analyze how structural shocks are associated with the variations of output and hours worked at business cycle frequencies. Empirical results reveal that technology shocks remain an important source of cyclical movements in output. Furthermore, a positive technology shock does not lead to a decline in hours worked in contrast to previous studies. Our SVARbased evidence does not support discarding a technology shock-driven business cycle theory.
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This paper investigates the validity of technology shocks as a driving force of U.S. business cycle fluctuations. Using three well-known structural vector autoregression (SVAR) models, we analyze how structural shocks are associated with the variations of output and hours worked at business cycle frequencies. Empirical results reveal that technology shocks remain an important source of cyclical movements in output. Furthermore, a positive technology shock does not lead to a decline in hours worked in contrast to previous studies. Our SVARbased evidence does not support discarding a technology shock-driven business cycle theory.
Key concepts: Business cycle, Shock (circulatory), Technology shock, Vector autoregression, Economics, Structural vector autoregression, Econometrics, Macroeconomics