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Wage Differentials between Temporary and Permanent Workers in Italy

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  • Matteo PICCHIO

    (Universita' Politecnica delle Marche, Dipartimento di Economia)

Abstract

The focus of this paper is to estimate the wage differentials between temporary and permanent workers using the 2002 wave of the Survey of Italian Households' Income and Wealth (SHIW) carried out by the Bank of Italy. A standard Mincer equation extended to a dummy variable for fied term contracts, interaction terms, and further explanatory variables will be estimated. Two hypothetical sources of misspecification may arise. Firstly, the potential endogeneity of the dummy variable for the contract type. Indeed, it seems plausible that those who end up in temporary jobs are not a random draw from the population and that this selection generates biased estimates. We will propose two methods to overcome the self-selectivity bias: the first one is an instrumental variables approach, the second one consists in the Heckman's (1978) dummy endogenous variable model estimator. The second possible source of misspecification is the "classical" Heckman's (1979) sample selection bias. We will present a procedure in order to test the presence of such a sample selection bias taking into account the endogeneity of the dummy variable for the contract type.

Suggested Citation

  • 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.
  • Handle: RePEc:anc:wpaper:257
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    References listed on IDEAS

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    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. Tabasso, D, 2009. "Temporary Contracts and Monopsony Power in the UK Labour Market," Economics Discussion Papers 8938, University of Essex, Department of Economics.
    4. Ugo FRATESI, 2010. "The National and International Effects;of Regional Policy Choices: Agglomeration Economies, Peripherality and Territorial Characteristics," Working Papers 344, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    5. Robert VERGEER & Alfred KLEINKNECHT, 2014. "Do labour market reforms reduce labour productivity growth? A panel data analysis of 20 OECD countries (1960–2004)," International Labour Review, International Labour Organization, vol. 153(3), pages 365-393, September.
    6. Fabio FIORILLO & Agnese SACCHI, 2010. "I Want to Free-ride. An Opportunistic View on Decentralization Versus Centralization Problem," Working Papers 346, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    7. 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.
    8. Cindy Biesenbeek & Maikel Volkerink, 2023. "The Price of Flexible Jobs: Wage Differentials between Permanent and Flexible Jobs in the Netherlands," De Economist, Springer, vol. 171(4), pages 367-401, December.
    9. Damiani, Mirella & Pompei, Fabrizio & Kleinknecht, Alfred, 2020. "When robots do (not) enhance job quality: The role of innovation regimes," MPRA Paper 103059, University Library of Munich, Germany.
    10. Duman, Anil, 2020. "Non-Standard Employment and Wage Differences across Gender: a quantile regression approach," GLO Discussion Paper Series 664, Global Labor Organization (GLO).
    11. Aalia Cassim & Daniela Casale, 2018. "How large is the wage penalty in the labour broker sector?: Evidence for South Africa using administrative data," WIDER Working Paper Series wp-2018-48, World Institute for Development Economic Research (UNU-WIDER).
    12. Albanese, Andrea & Gallo, Giovanni, 2020. "Buy flexible, pay more: The role of temporary contracts on wage inequality," Labour Economics, Elsevier, vol. 64(C).
    13. Noe', Chiara, 2009. "Subject of degree and the gender wage gap: Evidence from Italy," MPRA Paper 47289, University Library of Munich, Germany.
    14. Ferrara, Giancarlo & Vidoli, Francesco & Canello, Jacopo & Campagna, Arianna, 2013. "Labour-use Efficiency in the Italian Machinery Industry: a Non-parametric Stochastic Frontier Perspective," MPRA Paper 94359, University Library of Munich, Germany.
    15. 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.
    16. Carmen Aina & Fernanda Mazzotta & Lavinia Parisi, 2010. "Do Flexible Employment Contracts Change Household Income Differences in Italy?," Working Papers 129, SEMEQ Department - Faculty of Economics - University of Eastern Piedmont.
    17. Alessia Matano, 2022. "Spatial externalities in big cities and duality of the labour market," Journal of Regional Science, Wiley Blackwell, vol. 62(2), pages 471-498, March.
    18. Bosio, Giulio, 2009. "Temporary employment and wage gap with permanent jobs: evidence from quantile regression," MPRA Paper 16055, University Library of Munich, Germany.
    19. Patrizia Ordine & Giuseppe Rose, 2014. "Two-Tier Labor Market Reform And Entry Wage Of Protected Workers: Evidence From Italy," Working Papers 201410, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
    20. Matteo PICCHIO, 2006. "Temporary Jobs and State Dependence in Italy," Working Papers 272, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    21. Daniela Casale & Aalia Cassim, 2018. "How large is the wage penalty in the labour broker sector?: Evidence for South Africa using administrative data," WIDER Working Paper Series 48, World Institute for Development Economic Research (UNU-WIDER).
    22. Luca RICCETTI, 2010. "Minimum Tracking Error Volatility," Working Papers 340, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.

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    More about this item

    Keywords

    dummy endogenous variable; sample selection bias; single equation GMM; temporary employment; wage differentials;
    All these keywords.

    JEL classification:

    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • M51 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Firm Employment Decisions; Promotions

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