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Technology Shocks and Non-stationary Hours in Emerging Countries and DSVAR

Sevgi Coskun
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Sevgi Coskun: Sevgi Coskun is at the Faculty of Economics and Administrative Sciences, Ardahan University, Ardahan, Turkey, e-mail: sevgicoskun@ardahan.edu.tr

Margin: The Journal of Applied Economic Research, 2020, vol. 14, issue 2, 129-163

Abstract: We test a standard DSGE (Dynamic Stochastic General Equilibrium) model on impulse responses of hours worked and real GDP after technology and non-technology shocks in emerging market economies (EMEs). Most dynamic macroeconomic models assume that hours worked are stationary. However, in the data, we observe apparent changes in hours worked from 1970 to 2013 in these economies. Motivated by this fact, we first estimate a structural vector autoregression (SVAR) model with a specification of hours in difference (DSVAR) and then set up a DSGE model by incorporating permanent labour supply (LS) shocks that can generate a unit root in hours worked, while preserving the property of a balanced growth path. These LS shocks could be associated with very dramatic changes in LS which look permanent in these economies. Hence, the identification restriction in our models comes from the fact that both technology and LS shocks have a permanent effect on GDP yet only the latter shocks have a long-run impact on hours worked. For inference purposes, we compare empirical impulse responses based on the EMEs data to impulse responses from DSVARs run on the simulated data from the model. The results show that a DSGE model with permanent LS shocks that can generate a unit root in hours worked is required to properly evaluate the DSVAR in EMEs as this model is able to replicate indirectly impulse responses obtained from a DSVAR on the actual data. JEL Classification: C32, E32

Keywords: Non-stationary Hours; DSGE Models; DSVAR Approach (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:sae:mareco:v:14:y:2020:i:2:p:129-163

DOI: 10.1177/0973801020911587

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