IDEAS home Printed from https://ideas.repec.org/a/kap/compec/v65y2025i1d10.1007_s10614-024-10661-x.html
   My bibliography  Save this article

Building an Annual Retrospective for French Labor Market (1959–1975) As a Complement of the INSEE’s Time Series (1975–2021)

Author

Listed:
  • Rodolphe Buda

    (University of Western Paris-Nanterre-La Défense)

Abstract

This paper presents the steps of the building of PAC (Active available population), PEMP (Population in employment) and TCHO (Unemployment rate) time series along the period 1959–2021 in order to complete those produced by INSEE along the period 1975–2021. Most of the annual macroeconomic INSEE’s data describe the period 1959–2020. So it seems relevant to complete the labor market INSEE’s time series (1975–2020). Our work was based on INSEE’s data which had various degrees of revision. In a first step, we used some rare overseas department data (1954 to 1974) and some data of France metropolitan (1987 and 1994) that we combined with those published in 2020. In a second step, we updated them thanks an other econometric adjustement with the last INSEE’s data published in 2022. During the discussion, we recalled the dilemma that INSEE systematically encounters, namely the dilemma Data quality/quick delivery. Finally, we proposed some assessement’s criteria of our results, based on econometric adjustement and a “confidential interval” that we built.

Suggested Citation

  • Rodolphe Buda, 2025. "Building an Annual Retrospective for French Labor Market (1959–1975) As a Complement of the INSEE’s Time Series (1975–2021)," Computational Economics, Springer;Society for Computational Economics, vol. 65(1), pages 507-542, January.
    • Handle: RePEc:kap:compec:v:65:y:2025:i:1:d:10.1007_s10614-024-10661-x
    DOI: 10.1007/s10614-024-10661-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10614-024-10661-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10614-024-10661-x?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. Peter Diamond, 2011. "Unemployment, Vacancies, Wages," American Economic Review, American Economic Association, vol. 101(4), pages 1045-1072, June.
    2. Clifford F. Thies, 2017. "Slip and Drift in Labor Statistics Since 2007," Econ Journal Watch, Econ Journal Watch, vol. 14(1), pages 121–132-1, January.
    3. Andrea Brandolini & Piero Cipollone & Eliana Viviano, 2006. "Does The Ilo Definition Capture All Unemployment?," Journal of the European Economic Association, MIT Press, vol. 4(1), pages 153-179, March.
    4. Christine Gonzalez-Demichel & Emmanuelle Nauze-Fichet, 2003. "Les contours de la population active : aux frontières de l'emploi, du chômage et de l'inactivité," Économie et Statistique, Programme National Persée, vol. 362(1), pages 85-103.
    5. John Komlos, 2021. "The Actual U.S. Unemployment Rate in 2019 Was Twice the Official Rate, and the Phillips Curve," Challenge, Taylor & Francis Journals, vol. 64(1), pages 51-74, January.
    Full references (including those not matched with items on IDEAS)

    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. Hye Yoon Chung & Youjin Hahn, 2021. "Work Transitions, Gender, and Subjective Well-Being," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 16(5), pages 2085-2109, October.
    2. Pontus Rendahl, 2014. "Fiscal Policy in an Unemployment Crisis," Cambridge Working Papers in Economics 1456, Faculty of Economics, University of Cambridge.
    3. Gabriele Ballarino & Michela Braga & Massimiliano Bratti & Daniele Checchi & Antonio Filippin & Carlo V. Fiorio & Marco Leonardi & Elena Meschi & Francesco Scervini, 2013. "GINI Country Report: Growing Inequalities and their Impacts in Italy," GINI Country Reports italy, AIAS, Amsterdam Institute for Advanced Labour Studies.
    4. Aysit Tansel & H. Mehmet Taşçı, 2010. "Hazard Analysis of Unemployment Duration by Gender in a Developing Country: The Case of Turkey," LABOUR, CEIS, vol. 24(4), pages 501-530, December.
    5. Luminița Chivu & George Georgescu, 2023. "The foundation of real-world economics: what every student needs to know," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 3, pages 343-350.
    6. Gökten, Meryem & Heimberger, Philipp & Lichtenberger, Andreas, 2024. "How far from full employment? The European unemployment problem revisited," European Economic Review, Elsevier, vol. 164(C).
    7. Lambert, Thomas, 2022. "The Great Resignation, Unemployment, and Underemployment in the US: A Study of Labor Market Segmentation," MPRA Paper 114067, University Library of Munich, Germany.
    8. Guido Bulligan & Elisa Guglielminetti & Eliana Viviano, 2017. "Wage growth in the euro area: where do we stand?," Questioni di Economia e Finanza (Occasional Papers) 413, Bank of Italy, Economic Research and International Relations Area.
    9. Sauro Mocetti, 2012. "Educational choices and the selection process: before and after compulsory schooling," Education Economics, Taylor & Francis Journals, vol. 20(2), pages 189-209, February.
    10. Bonam, Dennis & de Haan, Jakob & van Limbergen, Duncan, 2021. "Time-varying wage Phillips curves in the euro area with a new measure for labor market slack," Economic Modelling, Elsevier, vol. 96(C), pages 157-171.
    11. Dinopoulos, Elias & Grieben, Wolf-Heimo & Şener, Fuat, 2023. "A Policy Conundrum: Schumpeterian Growth or Job Creation?," Economic Modelling, Elsevier, vol. 126(C).
    12. Sabrina Di Addario, 2005. "Job Search in Thick Markets: Evidence from Italy," Development Working Papers 198, Centro Studi Luca d'Agliano, University of Milano.
    13. Jesse Rothstein, 2012. "The Labor Market Four Years into the Crisis: Assessing Structural Explanations," ILR Review, Cornell University, ILR School, vol. 65(3), pages 467-500, July.
    14. Moffat, John & Yoo, Hong Il, 2015. "Who are the unemployed? Evidence from the United Kingdom," Economics Letters, Elsevier, vol. 132(C), pages 61-64.
    15. Michael U. Krause & Thomas A. Lubik, 2014. "Modeling Labor Markets in Macroeconomics: Search and Matching," Working Paper 14-19, Federal Reserve Bank of Richmond.
    16. Laura Barbieri & Chiara Mussida, 2018. "Structural differences across macroregions: an empirical investigation," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 45(2), pages 215-246, May.
    17. Krusell, Per & Mukoyama, Toshihiko & Rogerson, Richard & Sahin, Aysegül, 2011. "A three state model of worker flows in general equilibrium," Journal of Economic Theory, Elsevier, vol. 146(3), pages 1107-1133, May.
    18. Gaetano Lisi, 2024. "Shadow economy, “mixed” firms, and labour market outcomes," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 31(3), pages 685-701, June.
    19. Benedikt Herz & Thijs van Rens, 2020. "Accounting for Mismatch Unemployment," Journal of the European Economic Association, European Economic Association, vol. 18(4), pages 1619-1654.
    20. Melanie Ward-Warmedinger & Corrado Macchiarelli, 2014. "Transitions in labour market status in EU labour markets," IZA Journal of European Labor Studies, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 3(1), pages 1-25, December.

    More about this item

    Keywords

    Labor market; Active population; Unemployment; Time series; Data collection; Retropolation;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • J2 - Labor and Demographic Economics - - Demand and Supply of Labor

    Statistics

    Access and download statistics

    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:kap:compec:v:65:y:2025:i:1:d:10.1007_s10614-024-10661-x. 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.