Farm size and productivity in Nicaragua: Parametric and nonparametric analyses for panel data

Alexandre Nunes Almeida; Boris E. Bravo-Ureta

Farm size and productivity in Nicaragua: Parametric and nonparametric analyses for panel data

Almeida, Alexandre Nunes ^[1] ; Bravo-Ureta, Boris E. ^[2]
1. [1] Universidade de São Paulo
  
  Universidade de São Paulo
  
  Brasil
2. [2] University of Connecticut
  
  University of Connecticut
  
  Town of Mansfield, Estados Unidos
Localización: Economía agraria y recursos naturales, ISSN-e 2174-7350, ISSN 1578-0732, Vol. 22, Nº. 1, 2022, págs. 31-52
Idioma: inglés
DOI: 10.7201/earn.2022.01.02
Títulos paralelos:
- Tamaño de la finca y productividad en Nicaragua: análisis paramétrico y no paramétrico con datos de panel
Enlaces
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Resumen
- español
  Este artículo examina la hipótesis de la relación inversa (H-RI) entre el tamaño de la finca y la productividad agrícola en Nicaragua utilizando métodos paramétricos y no paramétricos diseñados específicamente para datos de panel. Los datos provienen del Living Standards Measurement Study del Banco Mundial para los años 1998, 2001 y 2005. El análisis revela un claro apoyo para la H-RI basado en una serie de especificaciones paramétricas. Los resultados de los modelos no paramétricos también apoyanla H-RI; sin embargo, estos últimos proporcionan soporte parcial y más débil particularmente para los propietarios medianos y grandes.
- English
  This paper examines the inverse relationship hypothesis (IR-H) between farm size and agricultural productivity in Nicaragua using parametric and nonparametric methods designed specifically for panel data. The data employed are from the World Bank’s Living Standards Measurement Study for the years 1998, 2001 and 2005. The analysis reveals strong support for the IR-H based on a number of alternative parametric specifications. The results from the nonparametric models lend partial support to the IR-H,and such support is weaker than what is obtained from the parametric models, particularly among medium and large landholders.
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