IDEAS home Printed from https://ideas.repec.org/a/taf/japsta/v43y2016i1p140-168.html

Patterns of earnings differentials across three conservative European welfare regimes with alternative education systems

Author

Listed:
  • Rosalia Castellano
  • Gennaro Punzo

Abstract

The aim of this paper is to investigate, from a generational perspective, the effect of human capital on individual earnings and earnings differences in Germany, France and Italy, three developed countries in Western Europe with similar conservative welfare regimes but with important differences in their education systems. Income inequalities between and within education levels are explored using a two-stage probit model with quantile regressions in the second stage. More precisely, drawing upon 2005 EU-SILC data, returns on schooling and experience are estimated separately for employees and self-employed full-time workers by means of Mincerian earnings equations with sample selection; the sample selection correction accounts for the potential individual self-selection into the two labour force types. Although some determinants appear to be relatively similar across countries, state-specific differentials are drawn in light of the institutional features of each national context. The study reveals how each dimension of human capital differently affects individuals’ earnings and earnings inequality and, most of all, how their impacts differ along the conditional earnings distribution and across countries. In the comparative perspective, the country's leading position in terms of the highest rewards on education also depends on which earnings distribution (employee vs. self-employed) is analysed.

Suggested Citation

  • Rosalia Castellano & Gennaro Punzo, 2016. "Patterns of earnings differentials across three conservative European welfare regimes with alternative education systems," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(1), pages 140-168, January.
  • Handle: RePEc:taf:japsta:v:43:y:2016:i:1:p:140-168
    DOI: 10.1080/02664763.2015.1049518
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/02664763.2015.1049518
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/02664763.2015.1049518?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Staneva, Anita & Arabsheibani, Reza & Murphy, Philip D., 2010. "Returns to Education in Four Transition Countries: Quantile Regression Approach," IZA Discussion Papers 5210, Institute of Labor Economics (IZA).
    2. Sims,Christopher A. (ed.), 1994. "Advances in Econometrics," Cambridge Books, Cambridge University Press, number 9780521444606, January.
    3. Pedro Telhado Pereira & Pedro Silva Martins, 2000. "Does education reduce wage inequality? Quantile regressions evidence from fifteen European countries," Nova SBE Working Paper Series wp379, Universidade Nova de Lisboa, Nova School of Business and Economics.
    4. Sims,Christopher A. (ed.), 1994. "Advances in Econometrics," Cambridge Books, Cambridge University Press, number 9780521444590, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rosalia Castellano & Gaetano Musella & Gennaro Punzo, 2019. "Exploring changes in the employment structure and wage inequality in Western Europe using the unconditional quantile regression," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 46(2), pages 249-304, May.

    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. Javier Gardeazabal & Arantza Ugidos, "undated". "Measuring the gender gap at different quantiles of the wage distribution," Studies on the Spanish Economy 108, FEDEA.
    2. Mario Izquierdo & Aitor Lacuesta, 2006. "Wage inequality in Spain: recent developments," Working Papers 0615, Banco de España.
    3. Richard V. Burkhauser & Shuaizhang Feng & Stephen P. Jenkins, 2009. "Using The P90/P10 Index To Measure U.S. Inequality Trends With Current Population Survey Data: A View From Inside The Census Bureau Vaults," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 55(1), pages 166-185, March.
    4. Federico Di Pace & Matthias Hertweck, 2019. "Labor Market Frictions, Monetary Policy, and Durable Goods," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 32, pages 274-304, April.
    5. repec:wyi:journl:002087 is not listed on IDEAS
    6. Ahn, JaeBin & Choi, Moon Jung, 2020. "From firm-level imports to aggregate productivity: Evidence from Korean manufacturing firm data," Japan and the World Economy, Elsevier, vol. 56(C).
    7. van Soest, A.H.O. & Das, J.W.M., 2000. "Family Labor Supply and Proposed Tax Reforms in the Netherlands," Discussion Paper 2000-20, Tilburg University, Center for Economic Research.
    8. Stefan Boes, 2013. "Nonparametric analysis of treatment effects in ordered response models," Empirical Economics, Springer, vol. 44(1), pages 81-109, February.
    9. Juan M. Contreras & Sven H. Sinclair, 2008. "The Labor Supply Response in Macroeconomic Models: Working Paper 2008-07," Working Papers 20141, Congressional Budget Office.
    10. Antonella Trigari, 2006. "The Role of Search Frictions and Bargaining for Inflation Dynamics," Working Papers 304, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    11. Pierre Perron & Zhongjun Qu, 2007. "An Analytical Evaluation of the Log-periodogram Estimate in the Presence of Level Shifts," Boston University - Department of Economics - Working Papers Series wp2007-044, Boston University - Department of Economics.
    12. Antonella Trigari, 2009. "Equilibrium Unemployment, Job Flows, and Inflation Dynamics," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(1), pages 1-33, February.
    13. Philip Trostel & Ian Walker, 2006. "Education and Work," Education Economics, Taylor & Francis Journals, vol. 14(4), pages 377-399.
    14. Stefano DellaVigna, 2009. "Psychology and Economics: Evidence from the Field," Journal of Economic Literature, American Economic Association, vol. 47(2), pages 315-372, June.
    15. D'Errico, Marco & Macchiarelli, Corrado & Serafini, Roberta, 2015. "Differently unequal: Zooming-in on the distributional dimensions of the crisis in euro area countries," Economic Modelling, Elsevier, vol. 48(C), pages 93-115.
    16. KAWAGUCHI Daiji & NAITO Hisahiro, 2006. "The Bound Estimate of the Gender Wage Convergence under Employment Compositional Change," ESRI Discussion paper series 161, Economic and Social Research Institute (ESRI).
    17. German Blanco & Carlos A. Flores & Alfonso Flores-Lagunes, 2013. "Bounds on Average and Quantile Treatment Effects of Job Corps Training on Wages," Journal of Human Resources, University of Wisconsin Press, vol. 48(3), pages 659-701.
    18. Lechner, Michael & Vazquez-Alvarez, Rosalia, 2003. "The Effect of Disability on Labour Market Outcomes in Germany: Evidence from Matching," IZA Discussion Papers 967, Institute of Labor Economics (IZA).
    19. Karim M. Abadir & Gabriel Talmain, 2012. "Beyond Co-Integration: Modelling Co-Movements in Macro finance," Working Paper series 25_12, Rimini Centre for Economic Analysis.
    20. Konstantinos Theodoridis & Francesco Zanetti, 2014. "News and labour market dynamics in the data and in matching models," Bank of England working papers 488, Bank of England.
    21. Manuel Arellano & Stéphane Bonhomme, 2017. "Quantile Selection Models With an Application to Understanding Changes in Wage Inequality," Econometrica, Econometric Society, vol. 85, pages 1-28, January.

    More about this item

    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:taf:japsta:v:43:y:2016:i:1:p:140-168. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/CJAS20 .

    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.