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An information based sample-selection estimation model of agricultural workers' choice between piece-rate and hourly work


  • Golan, Amos
  • Moretti, Enrico
  • Perloff, Jeffrey M.


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.

Suggested Citation

  • Golan, Amos & Moretti, Enrico & Perloff, Jeffrey M., 1998. "An information based sample-selection estimation model of agricultural workers' choice between piece-rate and hourly work," CUDARE Working Papers 47285, University of California, Berkeley, Department of Agricultural and Resource Economics.
  • Handle: RePEc:ags:ucbecw:47285
    DOI: 10.22004/ag.econ.47285

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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.

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