01700naa a2200229 a 450000100080000000500110000800800410001910000220006024501470008226000090022952009610023865000260119965000180122565000240124365000250126765000230129265300280131565300250134365300250136870000170139377300600141019937192014-08-29       2014    bl uuuu     u00u1 u    #d1 aSOUZA, G. da S. e  aAssessing the significance of covariates in output oriented data envelopment analysis with two stage regression models.h[electronic resource]  c2014  aWe propose alternative regression models to assess the effects of covariates in output oriented DEA scores. We use probability choice models combined with specifications related to the gamma and to the truncated normal families of distributions. These specifications imply different two stage regression models and alternative quasi maximum likelihood estimators. We apply these methods to assess the significance of technical effects ? type of unit, processes improvement and technology impact ? affecting DEA efficiency scores computed to agricultural research production in Brazil, measured through Embrapa. We favor models taking into account the whole sample of efficiency scores and not only the inefficient units. In our application we conclude that type of unit and processes improvement are significant effects, with the latter effect negatively associated to the efficiency of the units classified into the type of unit considered more efficient.  aAgricultural research  aData analysis  aRegression analysis  aMétodo estatístico  aPesquisa agrícola  aFatoriais fracionários  aMelhoria de processo  aModelo de regressão1 aGOMES, E. G.  tWSEAS Transactions on Systemsgv. 13, p. 440-449, 2014.