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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Online Access: | http://www.sciencedirect.com/science/article/pii/S2666188820300149 |
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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 |
work_keys_str_mv |
AT princemaxwelletwire factorsthatdetermineaflatoxininfestationinghanaapplicationofcraggsdoublehurdlemodel AT edwardmartey factorsthatdetermineaflatoxininfestationinghanaapplicationofcraggsdoublehurdlemodel |
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