Beauty and the beast in the labor market: Evidence from a distribution regression approach
We apply an innovative technique to allow for differential effects of physical appearance across the wage distribution, as traditional methods confound opposing effects. Counterfactual wage distributions constructed using distribution regression,show that unattractive women are more likely to earn less than the median wage, particularly in professions where physical appearance is important. We also find a premium for well-paid attractive men in these professions. A comparison with results from traditional models shows that the characteristics of people in different physical appearance classes contributes to the effects identified using the latter and only a small portion could be discrimination.
|Date of creation:||Dec 2011|
|Contact details of provider:|| Postal: 11, Porte des Sciences, L-4366 Esch-sur-Alzette, G.-D. Luxembourg|
Phone: 00352 / 58 58 55 - 1
Fax: 00352 / 58 58 55 - 700
Web page: https://www.liser.lu
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Mobius, Markus & Rosenblat, Tanya, 2006.
"Why Beauty Matters,"
3043406, Harvard University Department of Economics.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2013.
"Inference on counterfactual distributions,"
CeMMAP working papers
CWP17/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2012. "Inference on counterfactual distributions," CeMMAP working papers CWP05/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2009. "Inference on counterfactual distributions," CeMMAP working papers CWP09/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2008. "Inference On Counterfactual Distributions," Boston University - Department of Economics - Working Papers Series wp2008-005, Boston University - Department of Economics.
- Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
- Naci Mocan & Erdal Tekin, 2006.
NBER Working Papers
12019, National Bureau of Economic Research, Inc.
- Thomas Y. Mathä & Alessandro Porpiglia & Eva Sierminska, 2011.
"The Immigrant/Native Wealth Gap in Germany, Italy and Luxembourg,"
BCL working papers
57, Central Bank of Luxembourg.
- Mathä, Thomas Y. & Porpiglia, Alessandro & Sierminska, Eva, 2011. "The immigrant/native wealth gap in Germany, Italy and Luxembourg," Working Paper Series 1302, European Central Bank.
- Biddle, Jeff E & Hamermesh, Daniel S, 1998.
"Beauty, Productivity, and Discrimination: Lawyers' Looks and Lucre,"
Journal of Labor Economics,
University of Chicago Press, vol. 16(1), pages 172-201, January.
- Jeff E. Biddle & Daniel S. Hamermesh, 1995. "Beauty, Productivity and Discrimination: Lawyers' Looks and Lucre," NBER Working Papers 5366, National Bureau of Economic Research, Inc.
- HILDEBRAND Vincent & VAN KERM Philippe, 2010.
"Body size and wages in Europe: A semi-parametric analysis,"
LISER Working Paper Series
- Vincent A. Hildebrand & Philippe Van Kerm, 2010. "Body size and wages in Europe: A semi-parametric analysis," Social and Economic Dimensions of an Aging Population Research Papers 269, McMaster University.
- Hamermesh, Daniel S. & Meng, Xin & Zhang, Junsen, 2002.
"Dress for success--does primping pay?,"
Elsevier, vol. 9(3), pages 361-373, July.
- Dorothe Bonjour & Michael Gerfin, 2001.
"The unequal distribution of unequal pay - An empirical analysis of the gender wage gap in Switzerland,"
Springer, vol. 26(2), pages 407-427.
- Dorothe Bonjour & Michael Gerfin, 1997. "The Unequal Distribution of Unequal Pay - An Empirical Analysis of the Gender Wage Gap in Switzerland," Diskussionsschriften dp9702, Universitaet Bern, Departement Volkswirtschaft.
- Hamermesh, Daniel S & Biddle, Jeff E, 1994.
"Beauty and the Labor Market,"
American Economic Review,
American Economic Association, vol. 84(5), pages 1174-1194, December.
- Susan Averett & Sanders Korenman, 1996.
"The Economic Reality of the Beauty Myth,"
Journal of Human Resources,
University of Wisconsin Press, vol. 31(2), pages 304-330.
- Anindya Sen & Marcel-Cristian Voia & Frances R. Woolley, 2010. "Hot or Not: How Appearance Affects Earnings and Productivity in Academia," Carleton Economic Papers 10-07, Carleton University, Department of Economics.
- Heckman, James J, 1979.
"Sample Selection Bias as a Specification Error,"
Econometric Society, vol. 47(1), pages 153-161, January.
- Greve, Jane, 2007. "Obesity and Labor Market Outcomes: New Danish Evidence," Working Papers 07-13, University of Aarhus, Aarhus School of Business, Department of Economics.
- Moshe Buchinsky, 1998. "The dynamics of changes in the female wage distribution in the USA: a quantile regression approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(1), pages 1-30.
- Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
- Foresi, S. & Paracchi, F., 1992. "The Conditional Distribution of Excess Returns: An Empirical Analysis," Working Papers 92-49, C.V. Starr Center for Applied Economics, New York University.
- Huber, Martin & Melly, Blaise, 2011. "Quantile Regression in the Presence of Sample Selection," Economics Working Paper Series 1109, University of St. Gallen, School of Economics and Political Science.
When requesting a correction, please mention this item's handle: RePEc:irs:cepswp:2011-62. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Library and Documentation)
If references are entirely missing, you can add them using this form.