IDEAS home Printed from https://ideas.repec.org/a/spr/stmapp/v21y2012i2p227-247.html
   My bibliography  Save this article

Modelling work history patterns in the Italian labour market

Author

Listed:
  • Elena Fabrizi
  • Alessio Farcomeni
  • Valerio Gatta

Abstract

No abstract is available for this item.

Suggested Citation

  • Elena Fabrizi & Alessio Farcomeni & Valerio Gatta, 2012. "Modelling work history patterns in the Italian labour market," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 21(2), pages 227-247, June.
    • Handle: RePEc:spr:stmapp:v:21:y:2012:i:2:p:227-247
    DOI: 10.1007/s10260-012-0189-0
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10260-012-0189-0
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s10260-012-0189-0?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Stewart, Mark B & Greenhalgh, Christine A, 1984. "Work History Patterns and the Occupational Attainment of Women," Economic Journal, Royal Economic Society, vol. 94(375), pages 493-519, September.
    2. Liu Yuan & Bottai Matteo, 2009. "Mixed-Effects Models for Conditional Quantiles with Longitudinal Data," The International Journal of Biostatistics, De Gruyter, vol. 5(1), pages 1-24, November.
    3. Albert Rees & Wayne Gray, 1982. "Family Effects in Youth Employment," NBER Chapters, in: The Youth Labor Market Problem: Its Nature, Causes, and Consequences, pages 453-474, National Bureau of Economic Research, Inc.
    4. Matteo Picchio, 2008. "Temporary Contracts and Transitions to Stable Jobs in Italy," LABOUR, CEIS, vol. 22(s1), pages 147-174, June.
    5. Dean R. Hyslop, 1999. "State Dependence, Serial Correlation and Heterogeneity in Intertemporal Labor Force Participation of Married Women," Econometrica, Econometric Society, vol. 67(6), pages 1255-1294, November.
    6. Koenker, Roger, 2004. "Quantile regression for longitudinal data," Journal of Multivariate Analysis, Elsevier, vol. 91(1), pages 74-89, October.
    7. Gagliarducci, Stefano, 2005. "The dynamics of repeated temporary jobs," Labour Economics, Elsevier, vol. 12(4), pages 429-448, August.
    8. Sophia Rabe-Hesketh & Anders Skrondal & Andrew Pickles, 2004. "GLLAMM Manual," U.C. Berkeley Division of Biostatistics Working Paper Series 1160, Berkeley Electronic Press.
    9. 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.
    10. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    11. Fabio Berton & Francesco Devicienti & Lia Pacelli, 2007. "Temporary jobs: Port of entry, Trap, or just Unobserved Heterogeneity?," LABORatorio R. Revelli Working Papers Series 68, LABORatorio R. Revelli, Centre for Employment Studies.
    12. Alessandra Nardi & Michael Schemper, 1999. "New Residuals for Cox Regression and Their Application to Outlier Screening," Biometrics, The International Biometric Society, vol. 55(2), pages 523-529, June.
    13. Farber, Henry S., 1999. "Mobility and stability: The dynamics of job change in labor markets," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 37, pages 2439-2483, Elsevier.
    14. Yu, Keming & Moyeed, Rana A., 2001. "Bayesian quantile regression," Statistics & Probability Letters, Elsevier, vol. 54(4), pages 437-447, October.
    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. Andrea Ciccarelli & Elena Fabrizi, 2017. "Family Background And Persistence In Neet Status," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 71(1), pages 29-40, January-M.
    2. Maria Marino & Alessio Farcomeni, 2015. "Linear quantile regression models for longitudinal experiments: an overview," METRON, Springer;Sapienza Università di Roma, vol. 73(2), pages 229-247, August.

    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. Maria Marino & Alessio Farcomeni, 2015. "Linear quantile regression models for longitudinal experiments: an overview," METRON, Springer;Sapienza Università di Roma, vol. 73(2), pages 229-247, August.
    2. Yuzhu Tian & Er’qian Li & Maozai Tian, 2016. "Bayesian joint quantile regression for mixed effects models with censoring and errors in covariates," Computational Statistics, Springer, vol. 31(3), pages 1031-1057, September.
    3. Georges Bresson & Guy Lacroix & Mohammad Arshad Rahman, 2021. "Bayesian panel quantile regression for binary outcomes with correlated random effects: an application on crime recidivism in Canada," Empirical Economics, Springer, vol. 60(1), pages 227-259, January.
    4. Hanze Zhang & Yangxin Huang, 2020. "Quantile regression-based Bayesian joint modeling analysis of longitudinal–survival data, with application to an AIDS cohort study," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 26(2), pages 339-368, April.
    5. Liu Yuan & Bottai Matteo, 2009. "Mixed-Effects Models for Conditional Quantiles with Longitudinal Data," The International Journal of Biostatistics, De Gruyter, vol. 5(1), pages 1-24, November.
    6. Mohammad Arshad Rahman & Angela Vossmeyer, 2019. "Estimation and Applications of Quantile Regression for Binary Longitudinal Data," Advances in Econometrics, in: Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part B, volume 40, pages 157-191, Emerald Group Publishing Limited.
    7. Sara Flisi & Marcello Morciano, 2011. "Trends and dynamics in the Italian labour market. An empirical evaluation using RFL data, 1993-2007," Center for the Analysis of Public Policies (CAPP) 0091, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
    8. Hemant Kulkarni & Jayabrata Biswas & Kiranmoy Das, 2019. "A joint quantile regression model for multiple longitudinal outcomes," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 103(4), pages 453-473, December.
    9. Akwasi Ampofo, 2021. "Oil at work: natural resource effects on household well-being in Ghana," Empirical Economics, Springer, vol. 60(2), pages 1013-1058, February.
    10. Simona COMI & Mara GRASSENI, 2009. "Are Temporary Workers Discriminated Against? Evidence from Europe," CHILD Working Papers wp17_09, CHILD - Centre for Household, Income, Labour and Demographic economics - ITALY.
    11. Graham, Bryan S. & Hahn, Jinyong & Poirier, Alexandre & Powell, James L., 2018. "A quantile correlated random coefficients panel data model," Journal of Econometrics, Elsevier, vol. 206(2), pages 305-335.
    12. Gomez-Gonzalez, Jose E. & Uribe, Jorge M. & Valencia, Oscar, 2024. "Asymmetric Sovereign Risk: Implications for Climate Change Preparation," IDB Publications (Working Papers) 13447, Inter-American Development Bank.
    13. Bart Cockx & Matteo Picchio, 2012. "Are Short-lived Jobs Stepping Stones to Long-Lasting Jobs?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(5), pages 646-675, October.
    14. Chen, Xuerong & Tang, Niansheng & Zhou, Yong, 2016. "Quantile regression of longitudinal data with informative observation times," Journal of Multivariate Analysis, Elsevier, vol. 144(C), pages 176-188.
    15. Dries Benoit & Rahim Alhamzawi & Keming Yu, 2013. "Bayesian lasso binary quantile regression," Computational Statistics, Springer, vol. 28(6), pages 2861-2873, December.
    16. Jing Wang, 2012. "Bayesian quantile regression for parametric nonlinear mixed effects models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 21(3), pages 279-295, August.
    17. Xiaoming Lu & Zhaozhi Fan, 2015. "Weighted quantile regression for longitudinal data," Computational Statistics, Springer, vol. 30(2), pages 569-592, June.
    18. Genya Kobayashi & Hideo Kozumi, 2012. "Bayesian analysis of quantile regression for censored dynamic panel data," Computational Statistics, Springer, vol. 27(2), pages 359-380, June.
    19. Cooke, Edgar F. A., 2012. "Is the impact of AGOA heterogeneous?," MPRA Paper 43277, University Library of Munich, Germany.
    20. Yuzhu Tian & Manlai Tang & Yanchao Zang & Maozai Tian, 2018. "Quantile regression for linear models with autoregressive errors using EM algorithm," Computational Statistics, Springer, vol. 33(4), pages 1605-1625, December.

    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:spr:stmapp:v:21:y:2012:i:2:p:227-247. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.