Two‐Step Econometric Estimation of Farm Characteristics Affecting Marketing Contract Decisions
By Ani L. Katchova, Mario J. Miranda. American Journal of Agricultural Economics, 2004
210 citations recorded by the source corpus.
We examine how farm characteristics affect marketing contract decisions. We relax the restrictive assumptions of Tobit, Poisson, and multinomial logit models and consider the quantity, frequency, and contract type decisions conditional on, rather than jointly with, the contract adoption decision. In contrast to earlier studies on marketing contract decisions, we estimate a two‐step econometric model using Agricultural Resource Management Study data and find that farm characteristics affecting decisions to adopt marketing contracts differ from those affecting decisions regarding quantity, frequency, and contract type.
Subfields: Economics and Econometrics, General Agricultural and Biological Sciences
View Paper: https://www.semanticscholar.org/paper/74f9b8c92cd133e08212c8d489f6d59dd08957e4
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In Economics and Econometrics
In General Agricultural and Biological Sciences
Citations in the corpus
- Determinants of farm diversification in integrated crop–livestock farming systems in Ghana (2017, methodology): “The estimated λ should be greater than the χ2 critical value to justify the use of the Cragg two-step model (Katchova and Miranda, 2004; Mal et al., 2012).”
- The dynamics of soil degradation and incentives for optimal management in the Central Highlands of Ethiopia (2007, methodology): “Furthermore, the Tobit model assumes that a variable that increases the probability of adoption will also increases the mean amount of inputs used (Lin and Schmidt, 1984; Norris and Batie, 1987; Katchova and Miranda, 2004).”