Data/hora: 03/06/2024 01:07:06

Provedor de dados: | 31
País: | United States
Título: | An information based sample-selection estimation model of agricultural workers' choice between piece-rate and hourly work
Autores: | Golan,   Amos; Moretti,   Enrico; Perloff,   Jeffrey M.
Data: | 2009-02-10
Ano: | 1998
Palavras-chave: | Agricultural labor; Agricultural wages; Data analysis; Entropy; Monte carlo analysis; Piece rates; Labor and Human Capital.
Resumo: | 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.
Tipo: | Working or Discussion Paper
Idioma: | Inglês
Identificador: | http://purl.umn.edu/47285

Relação:

University of California, Berkeley&gt;Department of Agricultural and Resource Economics&gt;CUDARE Working Papers

CUDARE Working Paper

861

Formato: | 18