IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/16055.html
   My bibliography  Save this paper

Temporary employment and wage gap with permanent jobs: evidence from quantile regression

Author

Listed:
  • Bosio, Giulio

Abstract

Previous research on wage penalty for temporary workers has focused on the conditional mean model. This paper uses micro data from the 2006 wave of the Survey of Italian Households’ Income and Wealth (SHIW) to examine the wage gap between temporary and permanent workers across the whole wage distribution. I apply a quantile regression models to understand whether there are glass ceiling or sticky floor for fixed-term workers and to test the hypothesis of polarization of wage profile by contract status. I also exploit a counterfactual decomposition analysis to investigate whether the gap is attributed to differences in characteristics or to differences in coefficients effect. A possible source of misspecification may arise, the endogenous selection in temporary status. In order to address the selectivity bias, I adopt an IV specification and a variant of the traditional Heckman (1978) dummy endogenous variable for the quantile framework. The main finding is a sticky floor effect, in the sense that the wage penalty for temporary workers is wider at the bottom of earnings distribution and in particular the decomposition method shows how the coefficients effect is decreasing in the upper half of wage profile. The analysis by educational level and by sector confirms the sticky floor effect. Finally correcting for endogenous self-selection in temporary contract slightly modifies the magnitude of wage gap, without changing the main patterns evidenced in the standard quantile regression.

Suggested Citation

  • Bosio, Giulio, 2009. "Temporary employment and wage gap with permanent jobs: evidence from quantile regression," MPRA Paper 16055, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:16055
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/16055/1/MPRA_paper_16055.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Francesconi, Marco & L. Booth, Alison & Frank, Jeff, 2002. "Labour as a buffer: do temporary workers suffer?," ISER Working Paper Series 2002-29, Institute for Social and Economic Research.
    2. Alberto Abadie & Joshua Angrist & Guido Imbens, 2002. "Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings," Econometrica, Econometric Society, vol. 70(1), pages 91-117, January.
    3. Markus Frölich & Blaise Melly, 2013. "Unconditional Quantile Treatment Effects Under Endogeneity," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(3), pages 346-357, July.
    4. Antje Mertens & Vanessa Gash & Frances McGinnity, 2007. "The Cost of Flexibility at the Margin. Comparing the Wage Penalty for Fixed‐term Contracts in Germany and Spain using Quantile Regression," LABOUR, CEIS, vol. 21(4‐5), pages 637-666, December.
    5. Omar Arias & Walter Sosa-Escudero & Kevin F. Hallock, 2001. "Individual heterogeneity in the returns to schooling: instrumental variables quantile regression using twins data," Empirical Economics, Springer, vol. 26(1), pages 7-40.
    6. Moshe Buchinsky, 1998. "Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 88-126.
    7. Paolo Naticchioni & Andrea Ricci & Emiliano Rustichelli, 2008. "Wage Inequality, Employment Structure and Skill‐biased Change in Italy," LABOUR, CEIS, vol. 22(s1), pages 27-51, June.
    8. Matteo PICCHIO, 2006. "Wage Differentials between Temporary and Permanent Workers in Italy," Working Papers 257, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    9. Heckman, James J, 1978. "Dummy Endogenous Variables in a Simultaneous Equation System," Econometrica, Econometric Society, vol. 46(4), pages 931-959, July.
    10. Sarah Brown & John G. Sessions, 2005. "Employee Attitudes, Earnings and Fixed-Term Contracts: International Evidence," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 141(2), pages 296-317, July.
    11. van der Wiel, Karen, 2010. "Better protected, better paid: Evidence on how employment protection affects wages," Labour Economics, Elsevier, vol. 17(1), pages 16-26, January.
    12. Moshe Buchinsky, 2001. "Quantile regression with sample selection: Estimating women's return to education in the U.S," Empirical Economics, Springer, vol. 26(1), pages 87-113.
    13. José Mata & José A. F. Machado, 2005. "Counterfactual decomposition of changes in wage distributions using quantile regression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 445-465.
    14. María A.Davia & Virginia Hernanz, 2004. "Temporary employment and segmentation in the Spanish labour market: An empirical analysis through the study of wage differentials," Spanish Economic Review, Springer;Spanish Economic Association, vol. 6(4), pages 291-318, December.
    15. Juan F. Jimeno & Luis Toharia, 1993. "The effects of fixed-term employment on wages: theory and evidence from Spain," Investigaciones Economicas, Fundación SEPI, vol. 17(3), pages 475-494, September.
    16. Matteo, PICCHIO, 2006. "Wage Differentials and Temporary Jobs in Italy," Discussion Papers (ECON - Département des Sciences Economiques) 2006033, Université catholique de Louvain, Département des Sciences Economiques.
    17. Lixin Cai & Amy Y.C. Liu, 2007. "Union Wage Effects in Australia: Are There Variations in Distribution?," Melbourne Institute Working Paper Series wp2007n017, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    18. Wiji Arulampalam & Alison L. Booth & Mark L. Bryan, 2007. "Is There a Glass Ceiling over Europe? Exploring the Gender Pay Gap across the Wage Distribution," ILR Review, Cornell University, ILR School, vol. 60(2), pages 163-186, January.
    19. Melly, Blaise, 2005. "Decomposition of differences in distribution using quantile regression," Labour Economics, Elsevier, vol. 12(4), pages 577-590, August.
    20. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    21. Markus Frolich & Blaise Melly, 2010. "Estimation of quantile treatment effects with Stata," Stata Journal, StataCorp LP, vol. 10(3), pages 423-457, September.
    22. Amuedo-Dorantes, Catalina & Serrano-Padial, Ricardo, 2007. "Wage Growth Implications of Fixed-Term Employment: An Analysis by Contract Duration and Job Mobility," Labour Economics, Elsevier, vol. 14(5), pages 829-847, October.
    23. Fabio Berton, 2008. "The (long) run out of unemployment: are temporary jobs the shortest way?," LABORatorio R. Revelli Working Papers Series 76, LABORatorio R. Revelli, Centre for Employment Studies.
    24. Joao Pedro Azevedo, 2004. "GRQREG: Stata module to graph the coefficients of a quantile regression," Statistical Software Components S437001, Boston College Department of Economics, revised 17 Mar 2011.
    25. Angel López-Nicolás & Jaume García & Pedro J. Hernández, 2001. "How wide is the gap? An investigation of gender wage differences using quantile regression," Empirical Economics, Springer, vol. 26(1), pages 149-167.
    26. Blaise Melly, 2005. "Public-private sector wage differentials in Germany: Evidence from quantile regression," Empirical Economics, Springer, vol. 30(2), pages 505-520, September.
    27. Heinze, Anja & Beninger, Denis & Beblo, Miriam & Laisney, François, 2003. "Measuring Selectivity-Corrected Gender Wage Gaps in the EU," ZEW Discussion Papers 03-74, ZEW - Leibniz Centre for European Economic Research.
    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. Thanh Tam Nguyen-Huu, 2023. "Wage Inequality in Pakistan: How Does Contract Status Matter?," Post-Print hal-04248144, HAL.
    2. Dias da Silva, António & Turrini, Alessandro, 2015. "Precarious and Less Well Paid? Wage Differences between Permanent and Fixed-term Contracts across the EU," IZA Policy Papers 105, Institute of Labor Economics (IZA).
    3. Gail Pacheco & Bill Cochrane, 2015. "Decomposing the temporary-permanent wage gap in New Zealand," Working Papers 2015-07, Auckland University of Technology, Department of Economics.
    4. Gustavo A. García, 2017. "Labor Informality: Choice or Sign of Segmentation? A Quantile Regression Approach at the Regional Level for Colombia," Review of Development Economics, Wiley Blackwell, vol. 21(4), pages 985-1017, November.
    5. Rahul Menon, 2019. "Short-term contracts and their effect on wages in Indian regular wage employment," The Economic and Labour Relations Review, , vol. 30(1), pages 142-164, March.
    6. Giulio Bosio, 2014. "The Implications of Temporary Jobs on the Distribution of Wages in Italy: An Unconditional IVQTE Approach," LABOUR, CEIS, vol. 28(1), pages 64-86, March.
    7. Fabrizio Pompei & Mirella Damiani & Andrea Ricci, 2019. "Family firms, performance-related pay, and the great crisis: evidence from the Italian case," Industrial and Corporate Change, Oxford University Press, vol. 28(5), pages 1193-1225.
    8. Cristiano Perugini & Ekaterina Selezneva, 2015. "Labour market institutions, crisis and gender earnings gap in Eastern Europe," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 23(3), pages 517-564, July.
    9. Ian Gordon & Tony Champion & Mike Coombes, 2015. "Urban Escalators and Interregional Elevators: The Difference that Location, Mobility, and Sectoral Specialisation Make to Occupational Progression," Environment and Planning A, , vol. 47(3), pages 588-606, March.
    10. Eleonora Bartoloni & Andrea Marino & Maurizio Baussola & Davide Romaniello, 2023. "Urban Non-urban Agglomeration Divide: Is There a Gap in Productivity and Wages?," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 9(2), pages 789-827, July.
    11. Damiani, Mirella & Pompei, Fabrizio & Ricci, Andrea, 2014. "Enterprise-level bargaining and labour productivity of Italian family firms: a quantile regression analysis," MPRA Paper 60380, University Library of Munich, Germany.
    12. Tejada, Mauricio M., 2017. "Dual labor markets and labor protection in an estimated search and matching model," Labour Economics, Elsevier, vol. 46(C), pages 26-46.
    13. Inga Laß & Mark Wooden, 2019. "The Structure of the Wage Gap for Temporary Workers: Evidence from Australian Panel Data," British Journal of Industrial Relations, London School of Economics, vol. 57(3), pages 453-478, September.
    14. Nguyễn, Hữu Chí. & Nguyen-Huu, Thanh Tam. & Le, Thi-Thuy-Linh., 2016. "Non-standard forms of employment in some Asian countries : a study of wages and working conditions of temporary workers," ILO Working Papers 994901213402676, International Labour Organization.
    15. Bill Cochrane & Gail Pacheco & Chao Li, 2017. "Temporary-Permanent Wage Gap: Does Type of Work and Location in Distribution Matter?," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 20(2), pages 125-147.
    16. Anna-Leena Asikainen & Giovanni Mangiarotti, 2017. "Open innovation and growth in IT sector," Service Business, Springer;Pan-Pacific Business Association, vol. 11(1), pages 45-68, March.

    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. Giulio Bosio, 2014. "The Implications of Temporary Jobs on the Distribution of Wages in Italy: An Unconditional IVQTE Approach," LABOUR, CEIS, vol. 28(1), pages 64-86, March.
    2. Raúl Ramos & Esteban Sanromá & Hipólito Simón, 2014. "Public-Private Sector Wage Differentials by Type of Contract: Evidence from Spain," Hacienda Pública Española / Review of Public Economics, IEF, vol. 208(1), pages 107-141, March.
    3. Perugini, Cristiano & Pompei, Fabrizio, 2017. "Temporary Jobs, Institutions, and Wage Inequality within Education Groups in Central-Eastern Europe," World Development, Elsevier, vol. 92(C), pages 40-59.
    4. Wiji Arulampalam & Alison Booth & Mark Bryan, 2010. "Are there asymmetries in the effects of training on the conditional male wage distribution?," Journal of Population Economics, Springer;European Society for Population Economics, vol. 23(1), pages 251-272, January.
    5. Raúl Ramos & Esteban Sanromá & Hipólito Simón, 2014. "Public-Private Sector Wage Differentials by Type of Contract: Evidence from Spain," Hacienda Pública Española, IEF, vol. 208(1), pages 107-141, March.
    6. Tindara ADDABBO & Donata Favaro, 2007. "Education and wage differentials by gender in Italy," CHILD Working Papers wp04_07, CHILD - Centre for Household, Income, Labour and Demographic economics - ITALY.
    7. Lixin Cai & Amy Y.C. Liu, 2008. "Public-Private Wage Gap in Australia: Variation Along the Distribution," CEPR Discussion Papers 581, Centre for Economic Policy Research, Research School of Economics, Australian National University.
    8. Bill Cochrane & Gail Pacheco & Chao Li, 2017. "Temporary-Permanent Wage Gap: Does Type of Work and Location in Distribution Matter?," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 20(2), pages 125-147.
    9. Zheng Fang & Chris Sakellariou, 2011. "A Case of Sticky Floors: Gender Wage Differentials in Thailand," Asian Economic Journal, East Asian Economic Association, vol. 25(1), pages 35-54, March.
    10. Perugini, Cristiano & Pompei, Fabrizio, 2016. "Employment protection and wage inequality within education groups in Europe," Journal of Policy Modeling, Elsevier, vol. 38(5), pages 810-836.
    11. Dileni Gunewardena & Darshi Abeyrathna & Amalie Ellagala & Kamani Rajakaruna & Shobana Rajendran, 2008. "Glass Ceilings, Sticky Floors or Sticky Doors? A Quantile Regression Approach to Exploring Gender Wage Gaps in Sri Lanka," Working Papers PMMA 2008-04, PEP-PMMA.
    12. Damiani, Mirella & Pompei, Fabrizio & Ricci, Andrea, 2014. "Enterprise-level bargaining and labour productivity of Italian family firms: a quantile regression analysis," MPRA Paper 60380, University Library of Munich, Germany.
    13. Heinze, Anja, 2010. "Beyond the mean gender wage gap: Decomposition of differences in wage distributions using quantile regression," ZEW Discussion Papers 10-043, ZEW - Leibniz Centre for European Economic Research.
    14. Gail Pacheco & Bill Cochrane, 2015. "Decomposing the temporary-permanent wage gap in New Zealand," Working Papers 2015-07, Auckland University of Technology, Department of Economics.
    15. 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.
    16. João Pereira & Aurora Galego, 2014. "Inter-Regional Wage Differentials in Portugal: An Analysis Across the Wage Distribution," Regional Studies, Taylor & Francis Journals, vol. 48(9), pages 1529-1546, September.
    17. Marta Silva & Luis Filipe Martins & Helena Lopes, 2015. "Asymmetric labour market reforms and wage growth with fixed-term contracts: does learning about match quality matter?," Working Papers Series 2 15-04, ISCTE-IUL, Business Research Unit (BRU-IUL).
    18. Costa-Font, Joan & Fabbri, Daniele & Gil, Joan, 2009. "Decomposing body mass index gaps between Mediterranean countries: A counterfactual quantile regression analysis," Economics & Human Biology, Elsevier, vol. 7(3), pages 351-365, December.
    19. Juan D. Barón & Deborah A. Cobb‐Clark, 2010. "Occupational Segregation and the Gender Wage Gap in Private‐ and Public‐Sector Employment: A Distributional Analysis," The Economic Record, The Economic Society of Australia, vol. 86(273), pages 227-246, June.
    20. Inés P. Murillo & Hipólito Simón, 2014. "La Gran Recesión y el diferencial salarial por género en España," Hacienda Pública Española / Review of Public Economics, IEF, vol. 208(1), pages 39-76, March.

    More about this item

    Keywords

    temporary employment; quantile regression; wage gap decomposition; endogenous selection;
    All these keywords.

    JEL classification:

    • J08 - Labor and Demographic Economics - - General - - - Labor Economics Policies
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J42 - Labor and Demographic Economics - - Particular Labor Markets - - - Monopsony; Segmented Labor Markets

    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:pra:mprapa:16055. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.