IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp5039.html
   My bibliography  Save this paper

Some Evidence on the Importance of Sticky Wages

Author

Listed:
  • Barattieri, Alessandro

    (Boston College)

  • Basu, Susanto

    (Boston College)

  • Gottschalk, Peter T.

    (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 assumption 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.

Suggested Citation

  • Barattieri, Alessandro & Basu, Susanto & Gottschalk, Peter T., 2010. "Some Evidence on the Importance of Sticky Wages," IZA Discussion Papers 5039, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp5039
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp5039.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. John Fitzgerald & Peter Gottschalk & Robert Moffitt, 1998. "An Analysis of Sample Attrition in Panel Data: The Michigan Panel Study of Income Dynamics," Journal of Human Resources, University of Wisconsin Press, vol. 33(2), pages 251-299.
    2. Del Negro, Marco & Schorfheide, Frank, 2008. "Forming priors for DSGE models (and how it affects the assessment of nominal rigidities)," Journal of Monetary Economics, Elsevier, vol. 55(7), pages 1191-1208, October.
    3. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Patrick Richard & Regine Walker & Pierre Alexandre, 2018. "The burden of out of pocket costs and medical debt faced by households with chronic health conditions in the United States," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-13, June.
    2. Benson, Rebecca & von Hippel, Paul T. & Lynch, Jamie L., 2018. "Does more education cause lower BMI, or do lower-BMI individuals become more educated? Evidence from the National Longitudinal Survey of Youth 1979," Social Science & Medicine, Elsevier, vol. 211(C), pages 370-377.
    3. Fornaro, Luca, 2015. "Financial crises and exchange rate policy," Journal of International Economics, Elsevier, vol. 95(2), pages 202-215.
    4. Haiyang Lu & Peng Nie & Alfonso Sousa-Poza, 2021. "The Effect of Parental Educational Expectations on Adolescent Subjective Well-Being and the Moderating Role of Perceived Academic Pressure: Longitudinal Evidence for China," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 14(1), pages 117-137, February.
    5. Islam, Asadul & Nguyen, Chau & Smyth, Russell, 2015. "Does microfinance change informal lending in village economies? Evidence from Bangladesh," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 141-156.
    6. Harsha Thirumurthy & Joshua Graff Zivin & Markus Goldstein, 2008. "The Economic Impact of AIDS Treatment: Labor Supply in Western Kenya," Journal of Human Resources, University of Wisconsin Press, vol. 43(3), pages 511-552.
    7. Pierpaolo Benigno & Luca Antonio Ricci, 2011. "The Inflation-Output Trade-Off with Downward Wage Rigidities," American Economic Review, American Economic Association, vol. 101(4), pages 1436-1466, June.
    8. Fitch-Fleischmann, Benjamin & Kresch, Evan Plous, 2021. "Story of the hurricane: Government, NGOs, and the difference in disaster relief targeting," Journal of Development Economics, Elsevier, vol. 152(C).
    9. Gary Koop & M. Hashem Pesaran & Ron P. Smith, 2013. "On Identification of Bayesian DSGE Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(3), pages 300-314, July.
    10. Martin, Molly A. & Lippert, Adam M., 2012. "Feeding her children, but risking her health: The intersection of gender, household food insecurity and obesity," Social Science & Medicine, Elsevier, vol. 74(11), pages 1754-1764.
    11. Yoko Kijima, 2022. "Effect of Nigeria’s e-voucher input subsidy program on fertilizer use, rice production, and household income," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(4), pages 919-935, August.
    12. Galí, Jordi, 2010. "Monetary Policy and Unemployment," Handbook of Monetary Economics, in: Benjamin M. Friedman & Michael Woodford (ed.), Handbook of Monetary Economics, edition 1, volume 3, chapter 10, pages 487-546, Elsevier.
    13. Saul D. Hoffman & E. Michael Foster, 2000. "AFDC Benefits and Nonmarital Births to Young Women," Journal of Human Resources, University of Wisconsin Press, vol. 35(2), pages 376-391.
    14. Dmytro Hryshko, 2012. "Labor income profiles are not heterogeneous: Evidence from income growth rates," Quantitative Economics, Econometric Society, vol. 3(2), pages 177-209, July.
    15. Shi, Jiao, 2019. "Vertical FDI and exchange rates over the business cycle: The welfare implications of openness to FDI," Journal of Development Economics, Elsevier, vol. 138(C), pages 274-293.
    16. Stéphane Dupraz & Emi Nakamura & Jón Steinsson, 2019. "A Plucking Model of Business Cycles," NBER Working Papers 26351, National Bureau of Economic Research, Inc.
    17. Zheng Liu & Daniel F. Waggoner & Tao Zha, 2009. "Sources of the Great Moderation: shocks, frictions, or monetary policy?," FRB Atlanta Working Paper 2009-03, Federal Reserve Bank of Atlanta.
    18. Emi Nakamura & Jón Steinsson, 2013. "Price Rigidity: Microeconomic Evidence and Macroeconomic Implications," Annual Review of Economics, Annual Reviews, vol. 5(1), pages 133-163, May.
    19. Keisuke Hirano & Guido W. Imbens & Geert Ridder & Donald B. Rubin, 2001. "Combining Panel Data Sets with Attrition and Refreshment Samples," Econometrica, Econometric Society, vol. 69(6), pages 1645-1659, November.
    20. Jason Lennard, 2023. "Sticky wages and the Great Depression: evidence from the United Kingdom," European Review of Economic History, European Historical Economics Society, vol. 27(2), pages 196-222.

    More about this item

    Keywords

    measurement error; micro-level evidence; wage stickiness;
    All these keywords.

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • J30 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iza:izadps:dp5039. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.