A revised Tobit procedure for mitigating bias in the presence of non-zero censoring with an application to milk-market participation in the Ethiopian highlands

Fixed transactions costs that prohibit exchange engender bias in supply analysis due to censoring of the sample observations. The associated bias in conventional regression procedures applied to censored data and the construction of robust methods for mitigating bias have been preoccupations of appl...

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Autores principales: Holloway, G.J., Nicholson, C., Delgado, Christopher L., Staal, Steven J., Ehui, Simeon K.
Formato: Journal Article
Lenguaje:Inglés
Publicado: Wiley 2004
Materias:
Acceso en línea:https://hdl.handle.net/10568/3991
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author Holloway, G.J.
Nicholson, C.
Delgado, Christopher L.
Staal, Steven J.
Ehui, Simeon K.
author_browse Delgado, Christopher L.
Ehui, Simeon K.
Holloway, G.J.
Nicholson, C.
Staal, Steven J.
author_facet Holloway, G.J.
Nicholson, C.
Delgado, Christopher L.
Staal, Steven J.
Ehui, Simeon K.
author_sort Holloway, G.J.
collection Repository of Agricultural Research Outputs (CGSpace)
description Fixed transactions costs that prohibit exchange engender bias in supply analysis due to censoring of the sample observations. The associated bias in conventional regression procedures applied to censored data and the construction of robust methods for mitigating bias have been preoccupations of applied economists since Tobin [Econometrica 26 (1958) 24]. This literature assumes that the true point of censoring in the data is zero and, when this is not the case, imparts a bias to parameter estimates of the censored regression model. We conjecture that this bias can be significant; affirm this from experiments; and suggest techniques for mitigating this bias using Bayesian procedures. The bias-mitigating procedures are based on modifications of the key step that facilitates Bayesian estimation of the censored regression model; are easy to implement; work well in both small and large samples; and lead to significantly improved inference in the censored regression model. These findings are important in light of the widespread use of the zero-censored Tobit regression and we investigate their consequences using data on milk-market participation in the Ethiopian highlands.
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spelling CGSpace39912024-10-25T09:43:54Z A revised Tobit procedure for mitigating bias in the presence of non-zero censoring with an application to milk-market participation in the Ethiopian highlands Holloway, G.J. Nicholson, C. Delgado, Christopher L. Staal, Steven J. Ehui, Simeon K. dairies marketing milk dairying Fixed transactions costs that prohibit exchange engender bias in supply analysis due to censoring of the sample observations. The associated bias in conventional regression procedures applied to censored data and the construction of robust methods for mitigating bias have been preoccupations of applied economists since Tobin [Econometrica 26 (1958) 24]. This literature assumes that the true point of censoring in the data is zero and, when this is not the case, imparts a bias to parameter estimates of the censored regression model. We conjecture that this bias can be significant; affirm this from experiments; and suggest techniques for mitigating this bias using Bayesian procedures. The bias-mitigating procedures are based on modifications of the key step that facilitates Bayesian estimation of the censored regression model; are easy to implement; work well in both small and large samples; and lead to significantly improved inference in the censored regression model. These findings are important in light of the widespread use of the zero-censored Tobit regression and we investigate their consequences using data on milk-market participation in the Ethiopian highlands. 2004-07 2011-06-25T08:42:07Z 2011-06-25T08:42:07Z Journal Article https://hdl.handle.net/10568/3991 en Limited Access Wiley Holloway, G., Nicholson, C., Delgado, C., Staal, S. and Ehui, S. 2004. A revised tobit procedure for mitigating bias in the presence of non-zero censoring with an application to milk-market participation in the Ethiopian highlands. Agricultural Economics 31(1): 97-106.
spellingShingle dairies
marketing
milk
dairying
Holloway, G.J.
Nicholson, C.
Delgado, Christopher L.
Staal, Steven J.
Ehui, Simeon K.
A revised Tobit procedure for mitigating bias in the presence of non-zero censoring with an application to milk-market participation in the Ethiopian highlands
title A revised Tobit procedure for mitigating bias in the presence of non-zero censoring with an application to milk-market participation in the Ethiopian highlands
title_full A revised Tobit procedure for mitigating bias in the presence of non-zero censoring with an application to milk-market participation in the Ethiopian highlands
title_fullStr A revised Tobit procedure for mitigating bias in the presence of non-zero censoring with an application to milk-market participation in the Ethiopian highlands
title_full_unstemmed A revised Tobit procedure for mitigating bias in the presence of non-zero censoring with an application to milk-market participation in the Ethiopian highlands
title_short A revised Tobit procedure for mitigating bias in the presence of non-zero censoring with an application to milk-market participation in the Ethiopian highlands
title_sort revised tobit procedure for mitigating bias in the presence of non zero censoring with an application to milk market participation in the ethiopian highlands
topic dairies
marketing
milk
dairying
url https://hdl.handle.net/10568/3991
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