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Methods versus substance: measuring the effects of technology shocks on hours

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Abstract

In this paper, we employ both calibration and modern (Bayesian) estimation methods to assess the role of neutral and investment-specific technology shocks in generating fluctuations in hours. Using a neoclassical stochastic growth model, we show how answers are shaped by the identification strategies and not by the statistical approaches. The crucial parameter is the labor supply elasticity. Both a calibration procedure that uses modern assessments of the Frisch elasticity and the estimation procedures result in technology shocks accounting for 2% to 9% of the variation in hours worked in the data. We infer that we should be talking more about identification and less about the choice of particular quantitative approaches.

Suggested Citation

  • Cristina Fuentes-Albero & Maxym Kryshko & José-Víctor Ríos-Rull & Raul Santaeulalia-Llopis & Frank Schorfheide, . "Methods versus substance: measuring the effects of technology shocks on hours," Staff Report, Federal Reserve Bank of Minneapolis.
    • Handle: RePEc:fip:fedmsr:433
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    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Technology shocks and hours: it is the identification, stupid!
      by Economic Logician in Economic Logic on 2009-10-13 19:05:00

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    Cited by:

    1. Cruz Echevarría, 2015. "Income tax progressivity, growth, income inequality and welfare," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 6(1), pages 43-72, March.
    2. Ikeda, Daisuke, 2015. "Optimal inflation rates with the trending relative price of investment," Journal of Economic Dynamics and Control, Elsevier, vol. 56(C), pages 20-33.
    3. Mennuni, Alessandro, 2014. "The Role of Curvature in the Transformation Frontier between Consumption and Investment," Discussion Paper Series In Economics And Econometrics 1407, Economics Division, School of Social Sciences, University of Southampton.
    4. Cantore, C. & Ferroni, F. & León-Ledesma, M A., 2011. "Interpreting the Hours-Technology time-varying relationship," Working papers 351, Banque de France.
    5. Frank Schorfheide, 2012. "EconomicDynamics Interviews Frank Schorfheide on DSGE Model Estimation," EconomicDynamics Newsletter, Review of Economic Dynamics, vol. 13(2), April.

    More about this item

    Keywords

    Business cycles; Technology - Economic aspects;

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    1. Economic Logic blog

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