IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp10841.html
   My bibliography  Save this paper

The Assimilation of Young Workers into the Labour Market in France: A Stochastic Earnings Frontier Approach

Author

Listed:
  • Bazen, Stephen

    (Aix-Marseille University)

  • Waziri, Khalid Maman

    (Aix Marseille University)

Abstract

Stochastic earnings frontiers have been used in a relatively small number of papers to analyse workers' ability to capture their full potential earnings in labour markets where there is inefficient job matching (due to lack of information, discrimination, over-education or during process of assimilation of migrants). Using a representative survey of young persons having left full-time education in France in 1998 and interviewed in 2001 and 2005, this paper examines the process of their assimilation into normal employment and the extent to which job matches are inefficient in the sense that the pay in a job is below an individual's potential earnings (determined by education, other forms of training and labour market experience). Our results suggest that young workers manage to obtain on average about 82% of their potential earnings three years after leaving full-time education and earnings inefficiency had disappeared four years later. The results are robust to the treatment of selectivity arising from the exclusion of the unemployed in the estimation of the frontier.

Suggested Citation

  • Bazen, Stephen & Waziri, Khalid Maman, 2017. "The Assimilation of Young Workers into the Labour Market in France: A Stochastic Earnings Frontier Approach," IZA Discussion Papers 10841, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp10841
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp10841.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Schmidt, Peter & Lin, Tsai-Fen, 1984. "Simple tests of alternative specifications in stochastic frontier models," Journal of Econometrics, Elsevier, vol. 24(3), pages 349-361, March.
    2. Ma Ángeles Díaz & Rosario Sánchez, 2011. "Gender and potential wage in Europe: a stochastic frontier approach," International Journal of Manpower, Emerald Group Publishing Limited, vol. 32(4), pages 410-425, July.
    3. Hofler, Richard A. & Polachek, Solomon W., 1985. "A new approach for measuring wage ignorance in the labor market," Journal of Economics and Business, Elsevier, vol. 37(3), pages 267-276, August.
    4. Daneshvary, Nasser, 1992. "Job Search and Immigrant Assimilation: An Earnings Frontier Approach," The Review of Economics and Statistics, MIT Press, vol. 74(3), pages 482-492, August.
    5. Herzog, Henry W, Jr & Hofler, Richard A & Schlottmann, Alan M, 1985. "Life on the Frontier: Migrant Information, Earnings and Past Mobility," The Review of Economics and Statistics, MIT Press, vol. 67(3), pages 373-382, August.
    6. Hung-pin Lai, 2015. "Maximum likelihood estimation of the stochastic frontier model with endogenous switching or sample selection," Journal of Productivity Analysis, Springer, vol. 43(1), pages 105-117, February.
    7. Polachek, Solomon W & Yoon, Bong Joon, 1987. "A Two-tiered Earnings Frontier Estimation of Employer and Employee Information in the Labor Market," The Review of Economics and Statistics, MIT Press, vol. 69(2), pages 296-302, May.
    8. Kumbhakar,Subal C. & Wang,Hung-Jen & Horncastle,Alan P., 2015. "A Practitioner's Guide to Stochastic Frontier Analysis Using Stata," Cambridge Books, Cambridge University Press, number 9781107609464, January.
    9. Hung-Jen Wang, 2002. "Heteroscedasticity and Non-Monotonic Efficiency Effects of a Stochastic Frontier Model," Journal of Productivity Analysis, Springer, vol. 18(3), pages 241-253, November.
    10. Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Vincenzo Atella, 2013. "Stochastic frontier analysis using Stata," Stata Journal, StataCorp LP, vol. 13(4), pages 718-758, December.
    11. Polachek, Solomon W. & Robst, John, 1998. "Employee labor market information: comparing direct world of work measures of workers' knowledge to stochastic frontier estimates," Labour Economics, Elsevier, vol. 5(2), pages 231-242, June.
    12. William Greene, 2010. "A stochastic frontier model with correction for sample selection," Journal of Productivity Analysis, Springer, vol. 34(1), pages 15-24, August.
    13. Adelchi Azzalini, 2005. "The Skew‐normal Distribution and Related Multivariate Families," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 32(2), pages 159-188, June.
    14. Hofler, Richard A & Murphy, Kevin J, 1992. "Underpaid and Overworked: Measuring the Effect of Imperfect Information on Wages," Economic Inquiry, Western Economic Association International, vol. 30(3), pages 511-529, July.
    15. Günter Lang, 2005. "The difference between wages and wage potentials: Earnings disadvantages of immigrants in Germany," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 3(1), pages 21-42, April.
    16. Bishop, John A. & Grodner, Andrew & Liu, Haiyong & Chiou, Jong-Rong, 2007. "Gender earnings differentials in Taiwan: A stochastic frontier approach," Journal of Asian Economics, Elsevier, vol. 18(6), pages 934-945, December.
    17. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    18. Uwe Jensen & Hermann Gartner & Susanne Rässler, 2010. "Estimating German overqualification with stochastic earnings frontiers," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 94(1), pages 33-51, March.
    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. Solomon W. Polachek & Jun (Jeff) Xiang, 2006. "The Effects of Incomplete Employee Wage Information: A Cross-Country Analysis," Research in Labor Economics, in: The Economics of Immigration and Social Diversity, pages 35-75, Emerald Group Publishing Limited.
    2. Khalid Maman Waziri, 2017. "Generalized Glass Ceilings in the United States – A Stochastic Metafrontier Approach," Working Papers halshs-01569834, HAL.
    3. M. Ángeles Díaz & Rosario Sánchez, 2013. "Young Workers, Marital Status And Wage Gap," Revista de Economia Aplicada, Universidad de Zaragoza, Departamento de Estructura Economica y Economia Publica, vol. 21(1), pages 57-70, Spring.
    4. Dipanwita Sarkar & Trevor C. Collier, 2019. "Does host-country education mitigate immigrant inefficiency? Evidence from earnings of Australian university graduates," Empirical Economics, Springer, vol. 56(1), pages 81-106, January.
    5. Rosario Sanchez & Mª Angeles Díaz Mayans, 2006. "Wage Gap and Temporality in Spain," EcoMod2006 272100077, EcoMod.
    6. German Blanco, 2017. "Who benefits from job placement services? A two-sided analysis," Journal of Productivity Analysis, Springer, vol. 47(1), pages 33-47, February.
    7. Joanna María Bashford-Fernández & Ana Rodríguez-Álvarez, 2019. "Wage Frontiers in Pre and Post-crisis Spain: Implications for Welfare and Inequality," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(2), pages 579-608, June.
    8. Bishop, John A. & Grodner, Andrew & Liu, Haiyong & Chiou, Jong-Rong, 2007. "Gender earnings differentials in Taiwan: A stochastic frontier approach," Journal of Asian Economics, Elsevier, vol. 18(6), pages 934-945, December.
    9. Ogloblin, Constantin & Brock, Gregory, 2005. "Wage determination in urban Russia: Underpayment and the gender differential," Economic Systems, Elsevier, vol. 29(3), pages 325-343, September.
    10. repec:dgr:rugsom:98d26 is not listed on IDEAS
    11. Guenter Lang, 2004. "How Different are Wages from Wage Potentials? - Analyzing the earnings disadvantage of immigrants in Germany," Discussion Paper Series 256, Universitaet Augsburg, Institute for Economics.
    12. Constantin Ogloblin & Gregory Brock, 2006. "Wage Determination in Rural Russia: A Stochastic Frontier Model," Post-Communist Economies, Taylor & Francis Journals, vol. 18(3), pages 315-326.
    13. Catherine Ris & Othman Joumady, 2005. "Diffusion du capital humain et efficience salariale. Une application sur données appariées employé-employeur," Économie et Prévision, Programme National Persée, vol. 169(3), pages 127-137.
    14. Partha Gangopadhyay & Sriram Shankar, 2016. "Labour (im)mobility and monopsonistic exploitation of workers in the urban informal sector: Lessons from a field study," Urban Studies, Urban Studies Journal Limited, vol. 53(5), pages 1042-1060, April.
    15. John Robst & Kimmarie McGOLDRICK, 1999. "The Measurement of Firm Information About Product Demand," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 15(2), pages 149-163, September.
    16. Dijk, Jouke van, 1998. "Differences in underemployment between the United States and the Netherlands," Research Report 98D26, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    17. Ma Ángeles Díaz & Rosario Sánchez, 2011. "Gender and potential wage in Europe: a stochastic frontier approach," International Journal of Manpower, Emerald Group Publishing Limited, vol. 32(4), pages 410-425, July.
    18. Dipanwita Sarkar & Trevor C. Collier, 2019. "Does host-country education mitigate immigrant inefficiency? Evidence from earnings of Australian university graduates," Empirical Economics, Springer, vol. 56(1), pages 81-106, January.
    19. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances I," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 8, pages 331-370, Springer.
    20. Sabrina Auci & Laura Castellucci & Manuela Coromaldi, 2021. "How does public spending affect technical efficiency? Some evidence from 15 European countries," Bulletin of Economic Research, Wiley Blackwell, vol. 73(1), pages 108-130, January.
    21. Polachek, Solomon W. & Robst, John, 1998. "Employee labor market information: comparing direct world of work measures of workers' knowledge to stochastic frontier estimates," Labour Economics, Elsevier, vol. 5(2), pages 231-242, June.

    More about this item

    Keywords

    stochastic earnings frontier; job matching; youth employment; earnings determination; sample selection stochastic frontier;
    All these keywords.

    JEL classification:

    • J30 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - General
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models

    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:dp10841. 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.