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Overtime, effort and the propagation of business cycle shocks

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  • George J. Hall

Abstract

This paper presents and estimates a variant of Hansen and Sargent's (1988) real business cycle model with straight time and overtime. The model presented has only one latent variable, the state of technology, yet it does a better job propagating and magnifying shocks than the labor hoarding models which incorporate unobserved effort. This model, as well as a version of Burnside, Eichenbaum and Rebelo's (1993) labor hoarding model, is estimated using maximum likelihood. The maximum likelihood parameter estimates are compared to those using GMM.

Suggested Citation

  • George J. Hall, 1994. "Overtime, effort and the propagation of business cycle shocks," Working Paper Series, Macroeconomic Issues 94-25, Federal Reserve Bank of Chicago.
    • Handle: RePEc:fip:fedhma:94-25
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    1. Lucas, Robert E, Jr, 1970. "Capacity, Overtime, and Empirical Production Functions," American Economic Review, American Economic Association, vol. 60(2), pages 23-27, May.
    2. Watson, Mark W, 1993. "Measures of Fit for Calibrated Models," Journal of Political Economy, University of Chicago Press, vol. 101(6), pages 1011-1041, December.
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    Cited by:

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    2. Givens, Gregory E., 2011. "Unemployment insurance in a sticky-price model with worker moral hazard," Journal of Economic Dynamics and Control, Elsevier, vol. 35(8), pages 1192-1214, August.
    3. Wemy, Edouard, 2021. "Capital-labor substitution elasticity: A simulated method of moments approach," Economic Modelling, Elsevier, vol. 97(C), pages 14-44.
    4. Ruge-Murcia, Francisco J., 2007. "Methods to estimate dynamic stochastic general equilibrium models," Journal of Economic Dynamics and Control, Elsevier, vol. 31(8), pages 2599-2636, August.
    5. Franchi, Massimo & Jusélius, Katarina, 2007. "Taking a DSGE Model to the Data Meaningfully," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 1, pages 1-38.
    6. Yuan, Mingwei & Li, Wenli, 2000. "Dynamic employment and hours effects of government spending shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 24(8), pages 1233-1263, July.
    7. Christiano, Lawrence J. & G. Harrison, Sharon, 1999. "Chaos, sunspots and automatic stabilizers," Journal of Monetary Economics, Elsevier, vol. 44(1), pages 3-31, August.
    8. Pablo A. Guerrón-Quintana & James M. Nason, 2013. "Bayesian estimation of DSGE models," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 21, pages 486-512, Edward Elgar Publishing.
    9. Eric Schaling & Guangling Dave Liu & Rangan Gupta, 2007. "Forecasting the South African Economy: A DSGE-VAR Approach," Working Papers 051, Economic Research Southern Africa.
    10. Juan F. Rubio-Ramirez & Jesus Fernández-Villaverde, 2005. "Estimating dynamic equilibrium economies: linear versus nonlinear likelihood," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(7), pages 891-910.
    11. Christiano, Lawrence J. & Vigfusson, Robert J., 2003. "Maximum likelihood in the frequency domain: the importance of time-to-plan," Journal of Monetary Economics, Elsevier, vol. 50(4), pages 789-815, May.
    12. Ireland, Peter N., 2004. "A method for taking models to the data," Journal of Economic Dynamics and Control, Elsevier, vol. 28(6), pages 1205-1226, March.
    13. Louis Phaneuf & Nooman Rebei, 2007. "Technology Shocks and Business Cycles: The Role of Processing Stages and Nominal Rigidities," Staff Working Papers 07-7, Bank of Canada.
    14. Malley, Jim & Woitek, Ulrich, 2010. "Technology shocks and aggregate fluctuations in an estimated hybrid RBC model," Journal of Economic Dynamics and Control, Elsevier, vol. 34(7), pages 1214-1232, July.
    15. Ryan Chahrour & Sanjay K. Chugh & Tristan Potter, 2014. "Searching for Wages in an Estimated Labor Matching Model," Boston College Working Papers in Economics 867, Boston College Department of Economics, revised 20 Dec 2016.
    16. Craig Burnside & Martin Eichenbaum & Sergio Rebelo, 1995. "Capital Utilization and Returns to Scale," NBER Chapters, in: NBER Macroeconomics Annual 1995, Volume 10, pages 67-124, National Bureau of Economic Research, Inc.
    17. Andreas Hornstein, 2002. "Towards a theory of capacity utilization: shiftwork and the workweek of capital," Economic Quarterly, Federal Reserve Bank of Richmond, issue Spr, pages 65-86.
    18. Marc P. Giannoni & Jean Boivin, 2005. "DSGE Models in a Data-Rich Environment," Computing in Economics and Finance 2005 431, Society for Computational Economics.
    19. Lawrence J. Christiano & Robert J. Vigfusson, 1999. "Maximum likelihood in the frequency domain: a time to build example," Working Papers (Old Series) 9901, Federal Reserve Bank of Cleveland.
    20. Bouakez, Hafedh & Cardia, Emanuela & Ruge-Murcia, Francisco J., 2005. "Habit formation and the persistence of monetary shocks," Journal of Monetary Economics, Elsevier, vol. 52(6), pages 1073-1088, September.
    21. Joao Madeira, 2013. "Assessing the empirical relevance of Walrasian labor frictions to business cycle fluctuations," Discussion Papers 1304, University of Exeter, Department of Economics.
    22. Ireland, Peter N., 2001. "Technology shocks and the business cycle: On empirical investigation," Journal of Economic Dynamics and Control, Elsevier, vol. 25(5), pages 703-719, May.
    23. Susanto Basu & Miles S. Kimball, 1997. "Cyclical Productivity with Unobserved Input Variation," NBER Working Papers 5915, National Bureau of Economic Research, Inc.
    24. Lee, Jiho, 2012. "Are structural parameters of DSGE models stable in Korea?," Journal of Asian Economics, Elsevier, vol. 23(1), pages 50-59.

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    Keywords

    Business cycles; Labor market;

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