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Modelling work history patterns in the Italian labour market

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Abstract

We focus on work histories of new entrants in 1998 in the Italian labour market. For workers in the private sector, we define a standard and three non-standard history patterns. We profile the workers through a mixed-effect multinomial logit model and show that certain features may be associated with the probability of belonging to one or the other category. Furthermore, we show that there are differential effects on wages associated with non-standard patterns. A closer look at best performing non-standard workers shows that even for them an early contractual stabilization may not always be expected.

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References

  • Agresti A (2002) Categorical data analysis. Wiley, Gainesville

    Book  MATH  Google Scholar 

  • Akaike H (1973) Information theory as an extension of the maximum likelihood principle. In: Petrov BN, Csaki F (eds) Second international symposium on information theory. Akademiai Kiado, Budapest, pp 267–281

    Google Scholar 

  • Bartolucci F, Farcomeni A, Pennoni F (2010) An overview of latent Markov models for longitudinal categorical data. arXiv:1003.2804

  • Berton F (2007) Job search with multiple labour contracts. Ph.D. thesis, Universitá degli studi di Torino

  • Berton F, Devicienti F, Pacelli L (2008) Temporary jobs: port of entry, trap, or just unobserved heterogeneity? Tech. rep. 79, Laboratorio R. Revelli, Moncalieri (TO)

  • Campbell I (1991) Atypical employment in australia: towards a research agenda. Tech. rep., Australian Social Policy Conference, Sydney

  • Collett D (2003) Modelling survival data in medical research. Chapman & Hall/CRC, Boca Raton

    Google Scholar 

  • Conover WJ, Iman RL (1982) Analysis of covariance using the rank transformation. Biometrics 38: 715–724

    Article  Google Scholar 

  • Corcoran ME (1979) Work experience, labour force withdrawals and women’s wage: empirical results using the 1976 panel of income dynamics. In: Lloyd CB, Andrews ES, Gilory CL (eds) Women in the labour market. Columbia University press, New York

    Google Scholar 

  • Cox DR (1972) Regression models and life tables (with discussion). J Royal Stat Soc Ser B 34: 187–220

    MATH  Google Scholar 

  • Fabrizi E, Evangelista R (2010) The instable nature of new jobs: an analysis based on work histories. Economia e Lavoro 2: 25–46

    Google Scholar 

  • Farber HS (1999) Mobility and stability: the dynamics of job change in labor markets. In: Ashenfelter D, Card R (eds) Handbook of labor economics. Elsevier Science, New York

    Google Scholar 

  • Farcomeni A (2012) Quantile regression for longitudinal data based on latent Markov subject-specific parameters. Stat Comput 22: 141–152

    Article  Google Scholar 

  • Fournier G, Bourassa B, Béji K (2003) Travail atypique récurrent et expérience de précarité: un regard exploratoire. In: Fournier G, Bourassa B, Béji K (eds) La précarité du travail: une réalité aux multiples visages. Université Laval, Québec, pp 41–77

    Google Scholar 

  • Gagliarducci S (2005) The dynamics of repeated temporary jobs. Tech. rep., EUI Working Papers

  • Geraci M, Bottai M (2007) Quantile regression for longitudinal data using the asymmetric laplace distribution. Biostatistics 8: 140–154

    Article  MATH  Google Scholar 

  • Hsiao C (2005) Analysis of panel data. Cambridge University Press, New York

    Google Scholar 

  • Hyslop DR (1999) State dependence, serial correlation and heterogeneity in intertemporal labour force participation of married women. Econometrica 67: 1255–1294

    Article  Google Scholar 

  • Iman RL, Conover WJ (1979) The use of the rank transform in regression. Technometrics 21: 499–509

    Google Scholar 

  • Jung S-H (1996) Quasi-likelihood for median regression models. J Am Stat Assoc 91: 251–257

    MATH  Google Scholar 

  • Koenker R (2004) Quantile regression for longitudinal data. J Multiva Anal 91: 74–89

    Article  MathSciNet  MATH  Google Scholar 

  • Koenker R (2005) Quantile regression. Cambridge University Press, New York

    Book  MATH  Google Scholar 

  • Koenker R, Bassett G (1978) Regression quantiles. Econometrica 46: 33–50

    Article  MathSciNet  MATH  Google Scholar 

  • Leombruni R (2005) Percorsi verso la pensione. storie lavorative dei lavoratori anziani in italia. In: Contini B, Trivellato U (eds) Eppur si muove. Dinamiche e persistenze nel mercato del lavoro italiano. Il Mulino, Bologna

    Google Scholar 

  • Leombruni R, Quaranta R (2005) Eppure si muoveva giá: Una breve storia della mobilitá dei lavoratori in italia. In: Contini B, Trivellato U (eds) Eppur si muove. Dinamiche e persistenze nel mercato del lavoro italiano. Il Mulino, Bologna

    Google Scholar 

  • Lipsitz SR, Fitzmaurice GM, Molenberghs G, Zhao LP (1997) Quantile regression methods for longitudinal data with drop-outs: application to CD4 cell counts of patients infected with the human immunodeficiency virus. J Royal Stat Soc Ser C 46: 463–476

    Article  MATH  Google Scholar 

  • Liu Y, Bottai M (2009) Mixed-effects models for conditional quantiles with longitudinal data. Int J Biostat 5

  • Machado JAF, Mata J (2005) Counterfactual decomposition of changes in wage distributions using quantile regression. J Appl Econ 20: 445–465

    Article  MathSciNet  Google Scholar 

  • Mandrone E (2008) La riclassificazione del lavoro tra occupazione standard e atipica: l’indagine Isfol Plus 2006. Tech. rep. 1 Collana Studi Isfol

  • Mandrone E, Radicchia D (2006) Plus: participation, labour, employment, survey. Indagine campionaria nazionale sulle caratteristiche e le aspettative degli individui sul lavoro. Rubbettino Editore, Soveria Mannelli (Cz)

    Google Scholar 

  • Nardi A, Schemper M (1999) New residuals for Cox regression and their application to outlier screening. Biometrics 55: 523–529

    Article  MATH  Google Scholar 

  • Neuman S, Zidermann A (2003) Work histories of israel. Men and women, 1983–1995. Tech. rep. 6, The Pinhas Sapir Center for Development Tel-Aviv University

  • Picchio M (2008) Temporary contracts and transitions to stable jobs in italy. Labour Rev Labour Econ Ind Relat 22: 147–174

    Article  Google Scholar 

  • Pistaferri L (1999) Informal networks in the italian labour market. Giornale degli Economisti e Annali di Economia 58: 355–375

    Google Scholar 

  • R Development Core Team (2010) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0

  • Rabe-Hesketh S, Skrondal A, Pickles A (2004) Gllamm manual. U.C. Berkeley Division of Biostatistics Working Paper Series 1160. Berkeley Electronic Press, Berkeley

  • Rees A, Gray W (1982) Family effects in youth employment. In: Freeman RB (eds) The youth labour market problem: its nature, causes and consequences. University of Chicago Press, Chicago, pp 453–474

    Google Scholar 

  • StataCorp: (2007) Stata statistical software: release 10. StataCorp LP, College Station

    Google Scholar 

  • Stewart MB, Grenhalgh CA (1984) Work history patterns and the occupational attainment of women. Econ J 94(375): 493–519

    Article  Google Scholar 

  • Therneau T, Grambsch P, Pankratz VS (2003) Penalized survival models and frailty. J Comput Graph Stat 12: 156–175

    Article  MathSciNet  Google Scholar 

  • Tucker D (2002) Precarious non-standard employment. a review of literature. Tech. rep., Labour Market Policy Group, Department of Labour: Wellington

  • Wooldridge JM (2002) Econometric analysis of cross section and panel data. MIT Press, Cambridge

    MATH  Google Scholar 

  • Yu K, Lu Z, Stander J (2003) Quantile regression: applications and current research areas. J Royal Stat Soc Ser D 52: 331–350

    Article  MathSciNet  Google Scholar 

  • Yu K, Moyeed RA (2001) Bayesian quantile regression. Stat Probab Lett 54: 437–447

    Article  MathSciNet  MATH  Google Scholar 

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Correspondence to Elena Fabrizi.

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Fabrizi, E., Farcomeni, A. & Gatta, V. Modelling work history patterns in the Italian labour market. Stat Methods Appl 21, 227–247 (2012). https://doi.org/10.1007/s10260-012-0189-0

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