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Some Evidence on the Importance of Sticky Wages

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  • Alessandro Barattieri

    ()
    (Boston College)

  • Susanto Basu

    (Boston College
    NBER)

  • Peter Gottschalk

    ()
    (Boston College)

Abstract

Nominal wage stickiness is an important component of recent medium-scale structural macroeconomic models, but to date there has been little microeconomic evidence supporting the as- sumption of sluggish nominal wage adjustment. We present evidence on the frequency of nominal wage adjustment using data from the Survey of Income and Program Participation (SIPP) for the period 1996-1999. The SIPP provides high-frequency information on wages, employment and demographic characteristics for a large and representative sample of the US population. The main results of the analysis are as follows. 1) After correcting for measurement error, wages appear to be very sticky. In the average quarter, the probability that an individual will experience a nominal wage change is between 5 and 18 percent, depending on the samples and assumptions used. 2) The frequency of wage adjustment does not display significant seasonal patterns. 3) There is little heterogeneity in the frequency of wage adjustment across industries and occupations 4) The hazard of a nominal wage change first increases and then decreases, with a peak at 12 months. 5) The probability of a wage change is positively correlated with the unemployment rate and with the consumer price inflation rate.

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Bibliographic Info

Paper provided by Boston College Department of Economics in its series Boston College Working Papers in Economics with number 740.

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Date of creation: 08 Jun 2010
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Handle: RePEc:boc:bocoec:740

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Keywords: Wage stickiness; micro-level evidence; measurement error;

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  1. Alessandro Barattieri & Susanto Basu & Peter Gottschalk, 2014. "Some Evidence on the Importance of Sticky Wages," American Economic Journal: Macroeconomics, American Economic Association, vol. 6(1), pages 70-101, January.
  2. J. Fitzgerald & P. Gottschalk & R. Moffitt, . "An Analysis of Sample Attrition in Panel Data: The Michigan Panel Study of Income Dynamics," Institute for Research on Poverty Discussion Papers 1156-98, University of Wisconsin Institute for Research on Poverty.
  3. Marco Del Negro & Frank Schorfheide, 2008. "Forming Priors for DSGE Models (and How it Affects the Assessment of Nominal Rigidities)," NBER Working Papers 13741, National Bureau of Economic Research, Inc.
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