ENDOGENEITY IN STOCHASTIC PRODUCTION FRONTIER WITH ONE AND TWO-STEP MODELS: AN APPLICATION WITH MUNICIPAL DATA FROM THE BRAZILIAN AGRICULTURAL CENSUS
Author:
Affiliation:
1. Federal Institute of Rondônia, Brazil
2. University of Brasília, Brazil
3. University of Brasília, Brazil; Brazilian Agricultural Research Corporation (Embrapa/Sede), Brazil
4. Federal University of Rondônia, Brazil
Publisher
FapUNIFESP (SciELO)
Subject
Management Science and Operations Research
Link
http://www.scielo.br/scielo.php?script=sci_pdf&pid=S0101-74382022000100204&tlng=en
Reference25 articles.
1. Formulation and estimation of stochastic frontier production function models;AIGNER D;Journal of econometrics,1977
2. Endogeneity in stochastic frontier models;AMSLER C;Journal of Econometrics,2016
3. Likelihood computation in the normal-gamma stochastic frontier model;ANDRADE BB;Computational Statistics,2017
4. The EM algorithm for standard stochastic frontier models;ANDRADE BB;Pesquisa Operacional,2019
5. Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data;BATTESE GE;Journal of econometrics,1988
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