On dependency in double-hurdle models
By Murray D. Smith. 2003
61 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Marketing, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/5cebac1f27d71fe4c9b9ea1f5f8a261477b81e00
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Citations in the corpus
- A double-hurdle approach to modelling tobacco consumption in Italy (2008, background): “10 Smith (2003) puts into question the relevance of the dependent double-hurdle model itself, asserting that this model contains too little statistical information to support estimation of dependency, even when dependency is truly present.”
- Technology adoption under seed access constraints and the economic impacts of improved pigeonpea varieties in Tanzania (2008, background): “Smith (2003) shows that assuming dependency between the two equations is not a worthwhile exercise as there is little statistical information available to support dependency in a DH framework.”
- The Impact of Access to Credit on the Adoption of Hybrid Maize in Malawi: An Empirical Test of an Agricultural Household Model under Credit Market Failure (2006, background): “5 See Smith (2003) for a theoretical analysis of why there might little gain from modeling dependence”
- A zero-inflated ordered probit model, with an application to modelling tobacco consumption (2007, background): “…and regression equations is identified by the nonlinearities involved, due to multicollinearity concerns, this correlation is often imprecisely estimated if x z. Smith (2003) also suggests that identification of the correlation parameter may be stronger in samples with more than 50% zeros.”