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What (really) accounts for the fall in hours after a technology shock?

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  • Rebei, Nooman
Abstract
The paper asks how state of the art DSGE models that account for the conditional response of hours following a positive neutral technology shock compare in a marginal likelihood race. To that end we construct and estimate several competing small-scale DSGE models that extend the standard real business cycle model. In particular, we identify from the literature six different hypotheses that generate the empirically observed decline in hours worked after a positive technology shock. These models alternatively exhibit (i) sticky prices; (ii) firm entry and exit with time to build; (iii) habit in consumption and costly adjustment of investment; (iv) persistence in the permanent technology shocks; (v) labor market friction with procyclical hiring costs; and (vi) Leontief production function with labor-saving technology shocks. In terms of model posterior probabilities, impulse responses, and autocorrelations, the model favored is the one that exhibits habit formation in consumption and investment adjustment costs. A robustness test shows that the sticky price model becomes as competitive as the habit formation and costly adjustment of investment model when sticky wages are included.

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  • Rebei, Nooman, 2014. "What (really) accounts for the fall in hours after a technology shock?," Journal of Economic Dynamics and Control, Elsevier, vol. 45(C), pages 330-352.
    • Handle: RePEc:eee:dyncon:v:45:y:2014:i:c:p:330-352
    DOI: 10.1016/j.jedc.2014.05.022
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    Cited by:

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    3. Karim Barhoumi & Reda Cherif & Mr. Nooman Rebei, 2016. "Stochastic Trends, Debt Sustainability and Fiscal Policy," IMF Working Papers 2016/059, International Monetary Fund.
    4. Bibaswan Chatterjee & Rolando Escobar‐Posada & Goncalo Monteiro, 2023. "Anticipation in leisure—Effects on labor‐leisure choice," International Journal of Economic Theory, The International Society for Economic Theory, vol. 19(2), pages 384-412, June.
    5. Choi, Yoonseok, 2020. "Macroeconomic implications of dynamically inconsistent preferences," Economic Modelling, Elsevier, vol. 87(C), pages 267-279.
    6. Klein, Mathias & Krause, Christopher, 2015. "Technology-Labor and Fiscal Spending Crowding-in Puzzles: The Role of Interpersonal Comparison," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113075, Verein für Socialpolitik / German Economic Association.
    7. Cantore, Cristiano & Ferroni, Filippo & León-Ledesma, Miguel A., 2017. "The dynamics of hours worked and technology," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 67-82.
    8. Choi, Yoonseok, 2017. "Revisiting the effect of a technology shock on hours," Economics Letters, Elsevier, vol. 157(C), pages 67-70.

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    More about this item

    Keywords

    Sticky prices; Firm entry and exit; Habit in consumption; Labor market frictions; Permanent technology shocks; Leontief production;
    All these keywords.

    JEL classification:

    • E2 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment
    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles

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