IDEAS home Printed from https://ideas.repec.org/p/oec/ecoaaa/690-en.html
   My bibliography  Save this paper

The Determinants of Employment and Earnings in Indonesia: A Multinomial Selection Approach

Author

Listed:
  • Margherita Comola

    (Paris School of Economics)

  • Luiz de Mello

    (OECD)

Abstract

This paper uses household survey (Sakernas) data from the 1996 and 2004 to estimate the determinants of earnings in Indonesia. The Indonesian labour market is segmented, with a majority of workers engaged in informal-sector occupations, and earnings data are available only for formal-sector workers (salaried employees). This posed problems for the estimation of earnings equations, because selection into different labour market statuses is likely to be non-random. In order to describe selection into different labour market statuses we use the most general version of the method proposed by Dubin and McFadden (1984), which Bourguignon, Fournier and Gurgand (2007) proved to be preferable to other available multinomial selection methods. We also deal with reverse causality between education attainment and earnings by estimating the selection equations using an instrumental variable technique. Our findings cast doubt on the use of a binomial selection rule and suggest that workers with higher levels of educational attainment are most likely to find a job in the formal sector, and that the informal sector is perceived by those workers who cannot obtain a job in the formal sector as an alternative to inactivity. This Working Paper relates to the 2008 OECD Economic Assessment of Indonesia (www.oecd.org/eco/surveys/indonesia). Les facteurs déterminants de l'emploi et des revenus en Indonésie : Une approche de sélection multinomiale Ce document estime les revenus en Indonésie sur la base des donnés des enquêtes auprès des ménages (Sakernas) de 1996 et 2004. Le marché du travail indonésien est segmenté, avec une majorité des travailleurs occupée dans le secteur informel, et les données sur les revenus sont disponibles que pour les salariés du secteur formel. Ceci présente des problèmes pour estimer les équations sur les revenus, car la catégorisation en fonction du statut sur le marché du travail doit être non-aléatoire. Pour décrire cette catégorisation, nous utilisons une version plus générale de la méthode proposée par Dubin et McFadden (1984), que Bourguignon, Fournier et Gurgand (2007) ont montré comme préférable à toutes autres méthodes de sélection multinomiale. Nos conclusions mettent en doute l’emploi d’une règle de sélection binomiale, et impliquent que les travailleurs ayant les plus hauts niveaux d’éducation sont les plus susceptibles de trouver un travail dans le secteur formel et que le secteur informel est perçu comme une alternative à l’inactivité par les travailleurs qui n’ont pas eu de travail dans le secteur formel. Ce Document de travail se rapporte à l’Évaluation économique de l’OCDE de l’Indonésie, 2008 (www.oecd.org/eco/etudes/indonesie).

Suggested Citation

  • Margherita Comola & Luiz de Mello, 2009. "The Determinants of Employment and Earnings in Indonesia: A Multinomial Selection Approach," OECD Economics Department Working Papers 690, OECD Publishing.
  • Handle: RePEc:oec:ecoaaa:690-en
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1787/224864812153
    Download Restriction: no

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Anna Lukiyanova, 2015. "Earnings inequality and informal employment in Russia," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 23(2), pages 469-516, April.
    2. Lamazi & Syamsurijal A.K & NurlinaTarmizi & Tatang A.M Sariman, 2016. "Analysis Factors That Influence Wage Disparity Between Female Workers In Urban And Rural Areas In South Sumatera," Eurasian Journal of Economics and Finance, Eurasian Publications, vol. 4(3), pages 54-63.

    More about this item

    Keywords

    earnings; emploi; employment; Indonesia; Indonésie; multimonial section; revenus; sélection multimoniale;

    JEL classification:

    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

    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:ecoaaa:690-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/edoecfr.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.