IDEAS home Printed from https://ideas.repec.org/a/oup/ajagec/v81y1999i3p735-741.html
   My bibliography  Save this article

An Information-Based Sample-Selection Estimation Model of Agricultural Workers' Choice between Piece-Rate and Hourly Work

Author

Listed:
  • Amos Golan
  • Enrico Moretti
  • Jeffrey M. Perloff

Abstract

This paper presents a new generalized maximum entropy (GME) approach to estimation of sample-selection models with small data sets, such as are found in many empirical agricultural economic analysis. For small samples, the GME approach produces more stable estimates and has smaller mean square error measures than other well-known estimators such as ordinary least squares, Heckman's two-step method, full-information maximum likelihood, and Ahn and Powell's method. The technique is used to analyze whether hired agricultural workers will work in piece-rate or time-rate jobs and to compare female-male wage differentials for both types of jobs.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Amos Golan & Enrico Moretti & Jeffrey M. Perloff, 1999. "An Information-Based Sample-Selection Estimation Model of Agricultural Workers' Choice between Piece-Rate and Hourly Work," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(3), pages 735-741.
    • Handle: RePEc:oup:ajagec:v:81:y:1999:i:3:p:735-741
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.2307/1244043
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    Citations

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


    Cited by:

    1. Kostov, Philip & Patton, Myles & Moss, Joan E. & McErlean, Seamus, 2005. "Does Gibrat's Law Hold Amongst Dairy Farmers in Northern Ireland?," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24775, European Association of Agricultural Economists.
    2. Peeters, Ludo M. K., 2004. "Estimating a random-coefficients sample-selection model using generalized maximum entropy," Economics Letters, Elsevier, vol. 84(1), pages 87-92, July.
    3. Qiuqiong Huang & Richard Howitt & Scott Rozelle, 2012. "Estimating production technology for policy analysis: trading off precision and heterogeneity," Journal of Productivity Analysis, Springer, vol. 38(2), pages 219-233, October.
    4. Fernández Vázquez, Esteban & Los, Bart, 2007. "A Maximum Entropy Approach to the Indenitication of Productive Technology Spillovers," Discussion Papers 1106, The Research Institute of the Finnish Economy.

    More about this item

    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:oup:ajagec:v:81:y:1999:i:3:p:735-741. 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.

    We have no bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.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.