IDEAS home Printed from https://ideas.repec.org/p/oec/elsaab/73-en.html
   My bibliography  Save this paper

Long time series for public expenditure on labour market programmes

Author

Listed:
  • David Grubb

    (OECD)

  • Agnès Puymoyen

    (OECD)

Abstract

The OECD has collected data for public expenditure on labour market programmes (LMPs) continuously since the mid-1980s. For most longstanding Member countries, data according to a consistent classification system and definition of scope are available for reference years 1985 to 2002. Starting with reference year 1998, Eurostat started collecting and publishing data according to a somewhat different classification system and definition of scope. In line with agreements for bilateral coordination of data collection, the OECD after some time adopted - for non-Eurostat OECD Member countries as well as Eurostat countries – most of the features of the Eurostat system. This allows the OECD to use data collected by Eurostat rather than making a separate data request to the 20 Eurostat countries that are members of the OECD. OECD data according to the “new” classification and definition of scope are generally available for reference year 2002 onwards, or 1998 onwards for Eurostat countries. These data are often used in time-series applications, e.g. for documenting long-term trends in total social expenditure (ìn which labour market programmes are one component), or in time-series regressions that attempt to estimate the impact of training programmes vs. job-creation programmes on unemployment. It is no longer practicable to do such work using only the “old” data which stop in 2002 or the “new” data which start in 2002 or 1998. If the two data sets are combined using crude extrapolation and splicing techniques, time-series movements will result primarily from statistical breaks (i.e. changes in definition and coverage of the statistics) rather than real changes in spending patterns. L’OCDE a rassemblé des données pour les dépenses publiques au titre des programmes du marché du travail (PMT) de façon continue depuis le milieu des années 80. Pour la plupart des pays membres de longue date, des données selon un système de catégories et une définition du champ cohérents sont disponibles pour les années de référence 1985 à 2002. A partir de l’année de référence 1998, Eurostat a rassemblé et publié des données selon un système de catégories et une définition du champ modifiés. En conformité avec des accords bilatéraux concernant la collecte des données, après un certain temps l’OCDE a adopté – pour les pays membres non Eurostat autant que pour les pays Eurostat – la plupart des caractéristiques du système Eurostat. Cette approche permet à l’OCDE d’utiliser les données collectées par Eurostat plutôt que d’adresser des requêtes de données séparées aux 20 pays Eurostat membres de l’OCDE. Le données OCDE selon les « nouvelles » catégories et définition du champ sont le plus souvent disponibles à partir de l’année de référence 2002, ou à partir de 1998 pour les pays Eurostat. Ces données servent souvent en séries temporelles, par exemple pour documenter les tendances à long terme dans les dépenses sociales totales (les PMT en étant une composante) ou dans les régressions temporelles qui visent à estimer l’impact sur le chômage des programmes de formation ou bien des programmes de créations d’emplois. Ces travaux ne sont plus faisables en se servant uniquement de données « anciennes » qui s’arrêtent en 2002 ou des données « nouvelles » qui démarrent en 2002 ou en 1998. Si les deux bases de données sont regroupées avec des techniques d’extrapolation et de raccordements crues, les variations temporelles seront principalement le reflet de ruptures statistiques plutôt que des changements réels dans la distribution des dépenses.

Suggested Citation

  • David Grubb & Agnès Puymoyen, 2008. "Long time series for public expenditure on labour market programmes," OECD Social, Employment and Migration Working Papers 73, OECD Publishing.
  • Handle: RePEc:oec:elsaab:73-en
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1787/230128514343
    Download Restriction: no

    References listed on IDEAS

    as
    1. Lorenzo Cappellari & Stephen P. Jenkins, 2004. "Modelling low income transitions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., pages 593-610.
    2. Michael J. Boskin & Frederick C. Nold, 1975. "A Markov Model of Turnover in Aid to Families with Dependent Children," Journal of Human Resources, University of Wisconsin Press, vol. 10(4), pages 467-481.
    3. Lorenzo Cappellari & Stephen P. Jenkins, 2008. "Estimating low pay transition probabilities accounting for endogenous selection mechanisms," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 57(2), pages 165-186.
    4. Stewart, Mark B & Swaffield, Joanna K, 1999. "Low Pay Dynamics and Transition Probabilities," Economica, London School of Economics and Political Science, pages 23-42.
    5. Martin Biewen, 2004. "Measuring State Dependence in Individual Poverty Status: Are there Feedback Effects to Employment Decisions and Household Composition?," Discussion Papers of DIW Berlin 429, DIW Berlin, German Institute for Economic Research.
    6. Jorgen Hansen & Magnus Lofstrom, 2011. "Immigrant–Native Differences in Welfare Participation: The Role of Entry and Exit Rates," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 50(3), pages 412-442, July.
    7. Mark B. Stewart, 2002. "The Inter-related Dynamics of Unemployment and Low Pay," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 B2-4, International Conferences on Panel Data.
    8. Chamberlain, Gary, 1984. "Panel data," Handbook of Econometrics,in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 22, pages 1247-1318 Elsevier.
    9. Enberg, John & Gottschalk, Peter & Wolf, Douglas, 1990. "A random-effects logit model of work-welfare transitions," Journal of Econometrics, Elsevier, vol. 43(1-2), pages 63-75.
    10. Marco Francesconi & Wilbert van der Klaauw, 2007. "The Socioeconomic Consequences of "In-Work" Benefit Reform for British Lone Mothers," Journal of Human Resources, University of Wisconsin Press, vol. 42(1).
    11. Paul Gregg & Susan Harkness & Sarah Smith, 2009. "Welfare Reform and Lone Parents in the UK," Economic Journal, Royal Economic Society, vol. 119(535), pages 38-65, February.
    12. Jorgen Hansen & Magnus Lofstrom, 2003. "Immigrant Assimilation and Welfare Participation Do Immigrants Assimilate Into or Out of Welfare?," Journal of Human Resources, University of Wisconsin Press, vol. 38(1).
    13. Brewer, Mike & Duncan, Alan & Shephard, Andrew & Suarez, Maria Jose, 2006. "Did working families' tax credit work? The impact of in-work support on labour supply in Great Britain," Labour Economics, Elsevier, vol. 13(6), pages 699-720, December.
    14. Hansen, Jörgen & Lofstrom, Magnus & Zhang, Xuelin, 2006. "State Dependence in Canadian Welfare Participation," IZA Discussion Papers 2266, Institute for the Study of Labor (IZA).
    15. S. Illeris & G. Akehurst, 2001. "Introduction," The Service Industries Journal, Taylor & Francis Journals, vol. 21(1), pages 1-4, January.
    16. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    17. Stephen P. Jenkins, 2000. "Modelling household income dynamics," Journal of Population Economics, Springer;European Society for Population Economics, vol. 13(4), pages 529-567.
    18. 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, pages 659-681.
    19. Paul Gregg & Jane Waldfogel, 2005. "Introduction," Economic Journal, Royal Economic Society, vol. 115(501), pages 1-6, February.
    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. Millán, Ana & Millán, José María & Román, Concepción & van Stel, André, 2013. "How does employment protection legislation influence hiring and firing decisions by the smallest firms?," Economics Letters, Elsevier, vol. 121(3), pages 444-448.
    2. Jun Nie & Ethan Struby, 2011. "Would active labor market policies help combat high U.S. unemployment?," Economic Review, Federal Reserve Bank of Kansas City, issue Q III, pages 35-69.
    3. Jason Heyes & Ludek Rychly (ed.), 2013. "Labour Administration in Uncertain Times," Books, Edward Elgar Publishing, number 15525, April.

    More about this item

    JEL classification:

    • H53 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Welfare Programs
    • H83 - Public Economics - - Miscellaneous Issues - - - Public Administration
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs
    • J08 - Labor and Demographic Economics - - General - - - Labor Economics Policies
    • J65 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment Insurance; Severance Pay; Plant Closings

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:oec:elsaab:73-en. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (). General contact details of provider: http://edirc.repec.org/data/eloecfr.html .

    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.

    We have no references for this item. You can help adding them by using 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.