Downward nominal wage flexibility: real or measurement error?
AbstractThis paper presents a new method to correct for measurement error in wage data and applies this method to address an old question. How much downward wage flexibility is there in the U.S? We apply standard methods developed by Bai and Perron (1998b) to identify structural breaks in time series data. Applying these methods to wage histories allows us to identify when each person experienced a change in nominal wages. The length of the period of constant nominal wages is left unrestricted and is allowed to differ across individuals, as is the size and direction of the nominal wage change. We apply these methods to data from the Survey of Income and Program Participation. The evidence we provide indicates that the probability of a cut in nominal wages is substantially overstated in data that is not corrected for measurement error.
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Bibliographic InfoPaper provided by Boston College Department of Economics in its series Boston College Working Papers in Economics with number 534.
Length: 33 pages
Date of creation: 15 May 2002
Date of revision:
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Nominal wage rigidity; measurement error;
Other versions of this item:
- Peter Gottschalk, 2005. "Downward Nominal-Wage Flexibility: Real or Measurement Error?," The Review of Economics and Statistics, MIT Press, vol. 87(3), pages 556-568, August.
- Gottschalk, Peter T., 2004. "Downward Nominal Wage Flexibility: Real or Measurement Error?," IZA Discussion Papers 1327, Institute for the Study of Labor (IZA).
- Peter Gottschalk, 2004. "Downward Nominal Wage Flexibility: Real or Measurement Error?," Boston College Working Papers in Economics 611, Boston College Department of Economics.
- E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution
- J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
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