01734nam a2200253 a 450000100080000000500110000800800410001902000220006010000220008224501200010426001980022450000990042252007260052165000260124765000260127365000340129965000250133365000260135865000260138465000200141065000230143065000100145370000170146320783262017-10-31       2017    bl uuuu     u00u1 u    #d  a978-9974-0-1514-21 aSOUZA, G. da S. e  aA stochastic frontier approach in the presence of endogeneity for the brazilian agriculture.h[electronic resource]  aIn: INTERNATIONAL CONFERENCE ON AGRO BIG DATA AND DECISION SUPPORT SYSTEMS IN AGRICULTURE, 1., 2017, Montevideo. Proceedings... Montevideo: Universidad de la República, 2017. p. 159-161.c2017  aEditores Héctor Cancela, Luís Miquel Plà-Aragonés, Antonio Mauttone, Adela Pagès-Bernaus.  aUsing farmers data comprising the Brazilian agricultural census of 2006, we fit a stochastic frontier model in the presence of endogeneity. The endogenous variable affecting efficiency is the probability of negative net income. Additionally we investigate the effects of technical assistance and agricultural research in efficiency. Production is modeled in the Cobb-Douglas family with three inputs: expenditures on labor, on land, and on other technical inputs. The response is gross income. Technological inputs are dominant, followed by labor and land. Research and technical assistance contribute significantly to reduce inefficiency and the probability of negative net income contributes positively to inefficiency.  aAgricultural research  aCensus of agriculture  aProbabilistic risk assessment  aStochastic processes  aAnálise estatística  aAssistência técnica  aCenso agrícola  aPesquisa agrícola  aRenda1 aGOMES, E. G.