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Constructing Labor Market Transitions Recall Weights in Retrospective Data: An Application to Egypt and Jordan

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  • Shaimaa Yassin

Abstract

To be able to redress retrospective panels into random samples and correct for any recall and/or design bias the data might suffer from, this paper builds on the methodology proposed by Langot and Yassin (2015) and extends it to correct the data on the individual transaction level (i.e. micro level). It creates user-friendly weights that can be readily used by researchers relying on retrospective panels extracted from the Egypt and Jordan Labor Market Panel Surveys(ELMPS and JLMPS respectively). The technique suggested shows that it is sufficient to have population moments - stocks and/or transitions (for at least one point in time) to correct overor under-reporting biases in the retrospective data. The paper proposes two types of microdata weights: (1) naive proportional weights and (2) differentiated predicted weights. Both transaction-level weights i.e. for each transition at a certain point in time, as well as panel weights i.e. for an entire job or non-employment spell, are built. In order to highlight the importance of these weights, the paper also offers an application using these weights. The determinants of labor market transitions in Egypt and Jordan are analyzed via a multinomial regression analysis with and without the weights. The impact of these weights on the regressions estimations and coefficients is therefore examined and shown significant among the different types of labor market transitions, especially separations.

Suggested Citation

  • Shaimaa Yassin, 2016. "Constructing Labor Market Transitions Recall Weights in Retrospective Data: An Application to Egypt and Jordan," IRENE Working Papers 16-07, IRENE Institute of Economic Research.
  • Handle: RePEc:irn:wpaper:16-07
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    References listed on IDEAS

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    1. Tansel, Aysit & Ozdemir, Zeynel / A., 2014. "Determinants of Transitions across Formal/Informal sectors in Egypt," MPRA Paper 61183, University Library of Munich, Germany.
    2. François Langot & Shaimaa Yassin, 2015. "Reforming Employment Protection in Egypt: An Evaluation Based on Transition Models with Measurement Errors," Working Papers 918, Economic Research Forum, revised Jun 2015.
    3. Ragui Assaad, 2014. "Making sense of Arab labor markets: the enduring legacy of dualism," IZA Journal of Labor & Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 3(1), pages 1-25, December.
    4. Ragui Assaad & Caroline Krafft & Shaimaa Yassin, 2018. "Comparing retrospective and panel data collection methods to assess labor market dynamics," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 8(1), pages 1-34, December.
    5. Bound, John & Brown, Charles & Mathiowetz, Nancy, 2001. "Measurement error in survey data," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 59, pages 3705-3843, Elsevier.
    6. Royalty, Anne Beeson, 1998. "Job-to-Job and Job-to-Nonemployment Turnover by Gender and Education Level," Journal of Labor Economics, University of Chicago Press, vol. 16(2), pages 392-443, April.
    7. Robert Shimer, 2012. "Reassessing the Ins and Outs of Unemployment," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 15(2), pages 127-148, April.
    8. Ragui Assaad & Caroline Krafft, 2013. "The Egypt labor market panel survey: introducing the 2012 round," IZA Journal of Labor & Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 2(1), pages 1-30, December.
    9. Shaimaa Yassin, 2014. "Job Accession, Separation and Mobility in the Egyptian Labor Market Over the Past Decade," Working Papers 881, Economic Research Forum, revised Nov 2014.
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    Cited by:

    1. Irene Selwaness & Caroline Krafft, 2021. "The Dynamics of Family Formation and Women’s Work: What Facilitates and Hinders Female Employment in the Middle East and North Africa?," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 40(3), pages 533-587, June.
    2. Ragui Assaad & Caroline Krafft & Shaimaa Yassin, 2018. "Comparing retrospective and panel data collection methods to assess labor market dynamics," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 8(1), pages 1-34, December.

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    More about this item

    Keywords

    Panel Data; Retrospective Data; Measurement Error; Micro-data weights; Labor Markets Transitions; Egypt; Jordan.;
    All these keywords.

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

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