Factors that Determine Aflatoxin Infestation in Ghana: Application of Cragg's Double Hurdle Model

In our application of Cragg's (double hurdle) model, we explicitly address functional form misspecification by first using nonparametric regression to identify the functional relationship between aflatoxin infestation and a vector of agronomic and socioeconomic variables. Based on the establish...

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Bibliographic Details
Main Authors: Prince Maxwell Etwire, Edward Martey
Format: Article
Language:English
Published: Elsevier 2020-01-01
Series:Sustainable Futures
Subjects:
C21
C24
I10
Q10
Online Access:http://www.sciencedirect.com/science/article/pii/S2666188820300149
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spelling doaj-80825bc233004b0282e7bfea9570f95f2021-03-22T08:43:59ZengElsevierSustainable Futures2666-18882020-01-012100021Factors that Determine Aflatoxin Infestation in Ghana: Application of Cragg's Double Hurdle ModelPrince Maxwell Etwire0Edward Martey1Corresponding author.; CSIR-Savanna Agricultural Research Institute, P.O. Box TL 52, Tamale, GhanaCSIR-Savanna Agricultural Research Institute, P.O. Box TL 52, Tamale, GhanaIn our application of Cragg's (double hurdle) model, we explicitly address functional form misspecification by first using nonparametric regression to identify the functional relationship between aflatoxin infestation and a vector of agronomic and socioeconomic variables. Based on the established functional forms, we then apply Cragg's model to estimate the determinants of farm-level aflatoxin infestation. As expected, we find that aflatoxin infestation in northern Ghana is determined by pre-production and post-production factors. However, we estimate insignificant effects for farmer characteristics. An assessment of the importance of functional form shows that an inappropriate function can lead to biased estimates of the Cragg model.http://www.sciencedirect.com/science/article/pii/S2666188820300149C21C24I10Q10
collection DOAJ
language English
format Article
sources DOAJ
author Prince Maxwell Etwire
Edward Martey
spellingShingle Prince Maxwell Etwire
Edward Martey
Factors that Determine Aflatoxin Infestation in Ghana: Application of Cragg's Double Hurdle Model
Sustainable Futures
C21
C24
I10
Q10
author_facet Prince Maxwell Etwire
Edward Martey
author_sort Prince Maxwell Etwire
title Factors that Determine Aflatoxin Infestation in Ghana: Application of Cragg's Double Hurdle Model
title_short Factors that Determine Aflatoxin Infestation in Ghana: Application of Cragg's Double Hurdle Model
title_full Factors that Determine Aflatoxin Infestation in Ghana: Application of Cragg's Double Hurdle Model
title_fullStr Factors that Determine Aflatoxin Infestation in Ghana: Application of Cragg's Double Hurdle Model
title_full_unstemmed Factors that Determine Aflatoxin Infestation in Ghana: Application of Cragg's Double Hurdle Model
title_sort factors that determine aflatoxin infestation in ghana: application of cragg's double hurdle model
publisher Elsevier
series Sustainable Futures
issn 2666-1888
publishDate 2020-01-01
description In our application of Cragg's (double hurdle) model, we explicitly address functional form misspecification by first using nonparametric regression to identify the functional relationship between aflatoxin infestation and a vector of agronomic and socioeconomic variables. Based on the established functional forms, we then apply Cragg's model to estimate the determinants of farm-level aflatoxin infestation. As expected, we find that aflatoxin infestation in northern Ghana is determined by pre-production and post-production factors. However, we estimate insignificant effects for farmer characteristics. An assessment of the importance of functional form shows that an inappropriate function can lead to biased estimates of the Cragg model.
topic C21
C24
I10
Q10
url http://www.sciencedirect.com/science/article/pii/S2666188820300149
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