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

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 19...

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Main Authors: Alexandre Nunes Almeida, Boris E. Bravo-Ureta
Format: Article
Language:English
Published: Universidad Politécnica de Valencia 2022-06-01
Series:Economía Agraria y Recursos Naturales
Subjects:
Online Access:https://polipapers.upv.es/index.php/EARN/article/view/15078
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author Alexandre Nunes Almeida
Boris E. Bravo-Ureta
author_facet Alexandre Nunes Almeida
Boris E. Bravo-Ureta
author_sort Alexandre Nunes Almeida
collection DOAJ
description 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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spelling doaj.art-affd804c3d8542ada3542521c1445e662022-12-22T02:48:08ZengUniversidad Politécnica de ValenciaEconomía Agraria y Recursos Naturales1578-07322174-73502022-06-01221315210.7201/earn.2022.01.0212742Farm size and productivity in Nicaragua: Parametric and nonparametric analyses for panel dataAlexandre Nunes Almeida0https://orcid.org/0000-0002-0680-5446Boris E. Bravo-Ureta1University of São PauloUniversity of ConnecticutThis 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.https://polipapers.upv.es/index.php/EARN/article/view/15078 inverse relationship hypothesisparametric and nonparametric modelsfarm productivity
spellingShingle Alexandre Nunes Almeida
Boris E. Bravo-Ureta
Farm size and productivity in Nicaragua: Parametric and nonparametric analyses for panel data
Economía Agraria y Recursos Naturales
inverse relationship hypothesis
parametric and nonparametric models
farm productivity
title Farm size and productivity in Nicaragua: Parametric and nonparametric analyses for panel data
title_full Farm size and productivity in Nicaragua: Parametric and nonparametric analyses for panel data
title_fullStr Farm size and productivity in Nicaragua: Parametric and nonparametric analyses for panel data
title_full_unstemmed Farm size and productivity in Nicaragua: Parametric and nonparametric analyses for panel data
title_short Farm size and productivity in Nicaragua: Parametric and nonparametric analyses for panel data
title_sort farm size and productivity in nicaragua parametric and nonparametric analyses for panel data
topic inverse relationship hypothesis
parametric and nonparametric models
farm productivity
url https://polipapers.upv.es/index.php/EARN/article/view/15078
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AT borisebravoureta farmsizeandproductivityinnicaraguaparametricandnonparametricanalysesforpaneldata