IDEAS home Printed from https://ideas.repec.org/p/sdp/sdpwps/49.html
   My bibliography  Save this paper

Dime si estás empleado y te diré quién eres. Dime qué tipo de contrato tienes

Author

Listed:
  • Evelyn Benvin
  • Ximena Quintanilla

    (Studies Division, Chilean Pension Supervisor)

Abstract

Este artículo utiliza un modelo de panel dinámico con efectos aleatorios y con variable dependiente binaria para analizar las transiciones entre empleo y desempleo y entre tipos de contrato para aquellos con empleo. El modelo permite aislar el efecto de la persistencia estructural del efecto de la heterogeneidad no observada, separación que podría tener importantes implicancias para el diseño de políticas publicas que intentan mejorar las perspectivas de empleo de los individuos. Utilizando una muestra representativa de la Base de Datos de A liados al Seguro de Cesantía, se obtiene que mientras el estado laboral actual está determinado en un 70% por el estado laboral anterior, el efecto de la heterogeneidad no observada es del orden de 34%. En el modelo de movilidad entre tipos de contrato, los efectos de la persistencia estructural y de la heterogeneidad no observada son 73% y 15%, respectivamente. Estos resultados indican que, si bien la heterogeneidad no observada es un determinante importante de la estabilidad laboral y de tipo de contrato, la persistencia estructural es más importante aún..

Suggested Citation

  • Evelyn Benvin & Ximena Quintanilla, 2011. "Dime si estás empleado y te diré quién eres. Dime qué tipo de contrato tienes," Working Papers 49, Superintendencia de Pensiones, revised Oct 2011.
  • Handle: RePEc:sdp:sdpwps:49
    as

    Download full text from publisher

    File URL: https://repec.spensiones.cl/repec/3_doctrabajos/49_2011_empleado_quien_eres_contratohoy_contratomanana.pdf
    File Function: Revised version, 2011
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54, January.
    2. Mark B. Stewart, 2007. "The interrelated dynamics of unemployment and low-wage employment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(3), pages 511-531.
    3. 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.
    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. Gonzalo Castex & Roberto Gillmore, 2014. "Análisis de Flujos en el Mercado laboral Chileno," Working Papers Central Bank of Chile 731, Central Bank of Chile.

    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. Alexander Mosthaf & Thorsten Schank & Claus Schnabel, 2014. "Low-wage employment versus unemployment: Which one provides better prospects for women?," IZA Journal of European Labor Studies, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 3(1), pages 1-17, December.
    2. Picchio, Matteo & van Ours, Jan C., 2013. "Retaining through training even for older workers," Economics of Education Review, Elsevier, vol. 32(C), pages 29-48.
    3. Sara Ayllón Gatnau, 2009. "Modelling state dependence and feedback effects between poverty, employment and parental home emancipation among European youth," Economics Working Papers 1180, Department of Economics and Business, Universitat Pompeu Fabra.
    4. Giulia Bettin & Riccardo Lucchetti, 2016. "Steady streams and sudden bursts: persistence patterns in remittance decisions," Journal of Population Economics, Springer;European Society for Population Economics, vol. 29(1), pages 263-292, January.
    5. Manudeep Bhuller & Christian N. Brinch & Sebastian Königs, 2017. "Time Aggregation and State Dependence in Welfare Receipt," Economic Journal, Royal Economic Society, vol. 127(604), pages 1833-1873, September.
    6. Wiji Arulampalam & Mark B. Stewart, 2009. "Simplified Implementation of the Heckman Estimator of the Dynamic Probit Model and a Comparison with Alternative Estimators," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(5), pages 659-681, October.
    7. Francesco Bartolucci & Claudia Pigini, 2017. "Granger causality in dynamic binary short panel data models," Working Papers 421, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    8. Picchio, Matteo & van Ours, Jan C., 2013. "Retaining through training even for older workers," Economics of Education Review, Elsevier, vol. 32(C), pages 29-48.
    9. Elena Giarda & Gloria Moroni, 2018. "The Degree of Poverty Persistence and the Role of Regional Disparities in Italy in Comparison with France, Spain and the UK," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(1), pages 163-202, February.
    10. Lucchetti, Riccardo & Pigini, Claudia, 2017. "DPB: Dynamic Panel Binary Data Models in gretl," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 79(i08).
    11. Matteo Picchio, 2012. "The Dynamics of Unemployment, Temporary and Permanent Employment in Italy," AIEL Series in Labour Economics, in: Tindara Addabbo & Giovanni Solinas (ed.), Non-Standard Employment and Quality of Work. The Case of Italy, edition 1, chapter 7, pages 127-147, AIEL - Associazione Italiana Economisti del Lavoro.
    12. Carina Keldenich & Andreas Knabe, 2022. "Women’s Labor Market Responses to Their Partners’ Unemployment and Low-Pay Employment," Journal of Labor Research, Springer, vol. 43(1), pages 134-162, March.
    13. Alexander Mosthaf, 2014. "Do Scarring Effects of Low-Wage Employment and Non-Employment Differ BETWEEN Levels of Qualification?," Scottish Journal of Political Economy, Scottish Economic Society, vol. 61(2), pages 154-177, May.
    14. Pedro Albarran & Raquel Carrasco & Jesus M. Carro, 2019. "Estimation of Dynamic Nonlinear Random Effects Models with Unbalanced Panels," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(6), pages 1424-1441, December.
    15. Mark B. Stewart, 2007. "The interrelated dynamics of unemployment and low-wage employment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(3), pages 511-531.
    16. Pere Arqué-Castells, 2013. "Persistence in R&D Performance and its Implications for the Granting of Subsidies," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 43(3), pages 193-220, November.
    17. Ki-Dong Lee & Seo-Hyeong Lee & Jong-Il Choe, 2018. "State dependence, individual heterogeneity, and the choice of employment status: evidence from Korea," Applied Economics, Taylor & Francis Journals, vol. 50(8), pages 824-837, February.
    18. Mosthaf, Alexander, 2011. "Low-wage jobs - stepping stones or just bad signals?," IAB-Discussion Paper 201111, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    19. Deng, Quheng & Ma, Xinxin, 2018. "The Dynamics of Informal Employment in Urban China," CEI Working Paper Series 2018-3, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
    20. Nisar Ahmad, 2014. "State Dependence in Unemployment," International Journal of Economics and Financial Issues, Econjournals, vol. 4(1), pages 93-106.

    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:sdp:sdpwps:49. 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: Cristian Hernández (email available below). General contact details of provider: https://edirc.repec.org/data/spegvcl.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.