(Translated by https://www.hiragana.jp/)
Unemployment As A Social Norm: Psychological Evidence from Panel Data
IDEAS home Printed from https://ideas.repec.org/p/del/abcdef/2001-17.html
   My bibliography  Save this paper

Unemployment As A Social Norm: Psychological Evidence from Panel Data

Author

Listed:
  • Andrew Clark

Abstract

This paper uses data from the first seven waves of the British Household Panel Survey to test a key implication of a social norm of employment: that the utility of the unemployed rises with the unemployment rate of their reference group. The GHQ-12 measure of individual well-being is taken as a proxy utility measure, and the unemployment rate in the region, of the partner, and in the household are taken as measures of adherence to the employment norm. The unemployment of "relevant others" is shown often to reduce the well-being of the employed, but to be strongly positively correlated with the well-being of the unemployed. This result, far stronger for men, is robust to controls for unobserved individual heterogeneity. Last, panel data shows that those whose well-being fell the most upon entering unemployment are both somewhat more likely to search for a new job and less likely to remain unemployed. Together, these findings suggest a psychological explanation of both unemployment polarisation and labour market hysteresis, based on the utility effects of reduced adherence to the employment norm in the reference group.

Suggested Citation

  • Andrew Clark, 2001. "Unemployment As A Social Norm: Psychological Evidence from Panel Data," DELTA Working Papers 2001-17, DELTA (Ecole normale supérieure).
  • Handle: RePEc:del:abcdef:2001-17
    as

    Download full text from publisher

    File URL: http://www.delta.ens.fr/abstracts/wp200117.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Gottschalk, Peter, 1993. "Changes in Inequality of Family Income in Seven Industrialized Countries," American Economic Review, American Economic Association, vol. 83(2), pages 136-142, May.
    2. Gary Solon & Robert Barsky & Jonathan A. Parker, 1994. "Measuring the Cyclicality of Real Wages: How Important is Composition Bias?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(1), pages 1-25.
    3. Milton Friedman, 1957. "Introduction to "A Theory of the Consumption Function"," NBER Chapters, in: A Theory of the Consumption Function, pages 1-6, National Bureau of Economic Research, Inc.
    4. John Dinardo & Thomas Lemieux, 1997. "Diverging Male Wage Inequality in the United States and Ganada, 1981–1988: Do Institutions Explain the Difference?," ILR Review, Cornell University, ILR School, vol. 50(4), pages 629-651, July.
    5. Lillard, Lee A & Weiss, Yoram, 1979. "Components of Variation in Panel Earnings Data: American Scientists, 1960-70," Econometrica, Econometric Society, vol. 47(2), pages 437-454, March.
    6. Card, David & Freeman, Richard B. (ed.), 1993. "Small Differences That Matter," National Bureau of Economic Research Books, University of Chicago Press, number 9780226092836, Febrero.
    7. O. Ashenfelter & D. Card (ed.), 1999. "Handbook of Labor Economics," Handbook of Labor Economics, Elsevier, edition 1, volume 3, number 3.
    8. Paul Beaudry & David A. Green, 2000. "Cohort patterns in Canadian earnings: assessing the role of skill premia in inequality trends," Canadian Journal of Economics, Canadian Economics Association, vol. 33(4), pages 907-936, November.
    9. MaCurdy, Thomas E., 1982. "The use of time series processes to model the error structure of earnings in a longitudinal data analysis," Journal of Econometrics, Elsevier, vol. 18(1), pages 83-114, January.
    10. Haider, Steven J, 2001. "Earnings Instability and Earnings Inequality of Males in the United States: 1967-1991," Journal of Labor Economics, University of Chicago Press, vol. 19(4), pages 799-836, October.
    11. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1.
    12. McKinley L. Blackburn & David E. Bloom, 1993. "The Distribution of Family Income: Measuring and Explaining Changes in the 1980s for Canada and the United States," NBER Chapters, in: Small Differences That Matter: Labor Markets and Income Maintenance in Canada and the United States, pages 233-266, National Bureau of Economic Research, Inc.
    13. Clark, Todd E, 1996. "Small-Sample Properties of Estimators of Nonlinear Models of Covariance Structure," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(3), pages 367-373, July.
    14. Berube, Charles & Morissette, Rene, 1996. "Longitudinal Aspects of Earnings Inequality in Canada," Analytical Studies Branch Research Paper Series 1996094e, Statistics Canada, Analytical Studies Branch.
    15. David Card & Richard B. Freeman, 1993. "Small Differences That Matter: Labor Markets and Income Maintenance in Canada and the United States," NBER Books, National Bureau of Economic Research, Inc, number card93-1.
    16. Milton Friedman, 1957. "A Theory of the Consumption Function," NBER Books, National Bureau of Economic Research, Inc, number frie57-1.
    17. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    18. Stevens, Ann Huff, 1997. "Persistent Effects of Job Displacement: The Importance of Multiple Job Losses," Journal of Labor Economics, University of Chicago Press, vol. 15(1), pages 165-188, January.
    19. David Orr, 1999. "Book," Journal of Industrial Ecology, Yale University, vol. 3(4), pages 155-156, October.
    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. Michael Baker & Gary Solon, 2003. "Earnings Dynamics and Inequality among Canadian Men, 1976-1992: Evidence from Longitudinal Income Tax Records," Journal of Labor Economics, University of Chicago Press, vol. 21(2), pages 267-288, April.
    2. Michael Baker & Gary Solon, 2003. "Earnings Dynamics and Inequality among Canadian Men, 1976-1992: Evidence from Longitudinal Income Tax Records," Journal of Labor Economics, University of Chicago Press, vol. 21(2), pages 267-288, April.
    3. Giesecke, Matthias & Bönke, Timm & Lüthen, Holger, 2011. "The Dynamics of Earnings in Germany: Evidence from Social Security Records," VfS Annual Conference 2011 (Frankfurt, Main): The Order of the World Economy - Lessons from the Crisis 48692, Verein für Socialpolitik / German Economic Association.
    4. Paul Bingley & Lorenzo Cappellari & Niels Westergård‐Nielsen, 2013. "Unemployment Insurance, Wage Dynamics and Inequality Over the Life Cycle," Economic Journal, Royal Economic Society, vol. 0, pages 341-372, May.
    5. Brahim Boudarbat & Thomas Lemieux & W. Craig Riddell, 2010. "The Evolution of the Returns to Human Capital in Canada, 1980-2005," Canadian Public Policy, University of Toronto Press, vol. 36(1), pages 63-89, March.
    6. 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.
    7. Seik Kim, 2010. "Uncertainty in Human Capital Investment and Earnings Dynamics," Journal of Human Capital, University of Chicago Press, vol. 4(1), pages 62-83.
    8. Cappellari, Lorenzo & Jenkins, Stephen P., 2014. "Earnings and labour market volatility in Britain, with a transatlantic comparison," Labour Economics, Elsevier, vol. 30(C), pages 201-211.
    9. Blundell, Richard & Graber, Michael & Mogstad, Magne, 2015. "Labor income dynamics and the insurance from taxes, transfers, and the family," Journal of Public Economics, Elsevier, vol. 127(C), pages 58-73.
    10. Yang, Guanyi, 2018. "Endogenous Skills and Labor Income Inequality," MPRA Paper 89638, University Library of Munich, Germany.
    11. Mark Huggett & Gustavo Ventura & Amir Yaron, 2011. "Sources of Lifetime Inequality," American Economic Review, American Economic Association, vol. 101(7), pages 2923-2954, December.
    12. Pemberton, James, 1997. "Modelling and measuring income uncertainty in life cycle models," Economic Modelling, Elsevier, vol. 14(1), pages 81-98, January.
    13. Denisa Maria Sologon & Cathal O'Donoghue, 2009. "Earnings Dynamics and Inequality in EU, 1994-2001," SOEPpapers on Multidisciplinary Panel Data Research 184, DIW Berlin, The German Socio-Economic Panel (SOEP).
    14. Lochner, Lance & Park, Youngmin, 2024. "Earnings dynamics and intergenerational transmission of skill," Journal of Econometrics, Elsevier, vol. 243(1).
    15. Jiaying Gu & Roger Koenker, 2014. "Unobserved heterogeneity in income dynamics: an empirical Bayes perspective," CeMMAP working papers 43/14, Institute for Fiscal Studies.
    16. Sologon, Denisa Maria & O'Donoghue, Cathal, 2009. "Earnings Dynamics and Inequality among Men across 14 EU Countries, 1994-2001: Evidence from ECHP," IZA Discussion Papers 4012, Institute of Labor Economics (IZA).
    17. Jiaying Gu & Roger Koenker, 2014. "Unobserved heterogeneity in income dynamics: an empirical Bayes perspective," CeMMAP working papers CWP43/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    18. P. Jenkins, Stephen, 2009. "Spaghetti unravelled: a model-based description of differences in income-age trajectories," ISER Working Paper Series 2009-30, Institute for Social and Economic Research.
    19. Mirko Felchner, 2015. "Einkommensdynamik bei Selbständigen als Freie Berufe und abhängig Beschäftigte Eine dynamische Paneldatenschätzung mit Daten des Sozio-oekonomischen Panels," FFB-Discussionpaper 101, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
    20. Robert A. Moffitt & Peter Gottschalk, 2012. "Trends in the Transitory Variance of Male Earnings: Methods and Evidence," Journal of Human Resources, University of Wisconsin Press, vol. 47(1), pages 204-236.

    More about this item

    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:del:abcdef:2001-17. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/deltafr.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.