Data/hora: 06/06/2024 16:20:41

Biblioteca(s): | Embrapa Unidades Centrais.
Data corrente: | 10/12/2021
Data da última atualização: | 10/12/2021
Autoria: | SOUZA, G. da S. e; GOMES, E. G.; ALVES, E. R. de A.
Afiliação: | GERALDO DA SILVA E SOUZA, SIRE; ELIANE GONCALVES GOMES, SIRE; ELISEU ROBERTO DE ANDRADE ALVES, DE/PR.
Título: | Two-part fractional regression model with conditional FDH responses: an application to Brazilian agriculture.
Ano de publicação: | 2020
Fonte/Imprenta: | Annals of Operations Research, 2020.
DOI: | https://doi.org/10.1007/s10479-020-03752-z
Idioma: | Inglês
Notas: | Published online: 10 August 2020.
Conteúdo: | We extend the notion of a two-part fractional regression model with conditional free disposal hull efciency responses to accommodate two-stage regression analysis. The twopart regression model includes the binomial model with a nonlinear specifcation for the expected response in (0,1] and is a more general formulation in the context of fractional regressions. We use nonlinear least squares to assess the efect of covariates in the conditional efciency response. The approach is applied to Brazilian agricultural county data, as reported in the Brazilian agricultural census of 2006. The efciency measure is output oriented and assumes variable returns to scale. Output is rural gross income and inputs are land expenses, labor expenses and expenses on other technological inputs. The covariates afecting production are credit, technical assistance, a rural development index, income concentration, measured by the Gini index, and regional dummies. Overall Brazilian rural production performance responds positively to all covariates
Thesagro: | Agricultura.
Categoria do assunto: | --
Registro original: | Embrapa Unidades Centrais (AI-SEDE)
Exemplares: | AI-SEDE - (65614-1) - UPC - AP - DD -  -  -  - DIS