Downward Nominal-Wage Flexibility: Real or Measurement Error?

By P. Gottschalk. Review of Economics and Statistics, 2005

166 citations recorded by the source corpus.

This 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 United States? We apply standard methods developed by Bai and Perron to identify structural breaks in time series data. Applying these methods to wage histories allows us to identify when each person experiences 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 are 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 are not corrected for measurement error.

Subfields: Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/f7e7a4bba221e823209b8bb70c6e22d212019a59

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

  1. Luca Sala
  2. Christian Zehnder
  3. Carlos Thomas
  4. Lorenz F. Goette
  5. M. Gertler
  6. Ernst Fehr
  7. A. Trigari
  8. Armin Falk

Citations in the corpus