Modeling Consumption with Limited Dependent Variables: Applications to Pork and Cheese

dc.creatorYen, Steven T.
dc.creatorJensen, Helen H.
dc.date2017-04-01T18:54:24Z
dc.date.accessioned2026-07-09T03:25:11Z
dc.descriptionThe double-hurdle and infrequency-of-purchase models are applied to pork and cheese consumption using the 1987-88 Nationwide Food Consumption Survey data. The models are generalized with the inverse hyperbolic sine transformation in the dependent variable, and this transformation results in a more flexible parameterization and error distribution than the untransformed models. Nonnested LR tests suggest that the IHS double-hurdle model provides better characterization of the data-generating process in household pork consumption than the IHS infrequency-of-purchase model but the elasticities derived from these models are similar. For household cheese consumption, the two models fit the data equally well. The IHS double-hurdle model and the IHS infrequency-of-purchase model generate very similar elasticities. Own-price effects on the probability and level of consumption are negative and significant for both pork and cheese, while income and cross-price effects are not significant. Household age composition, education, gender of meal planner, and race are among the demographic variables that affect consumption.
dc.identifierdoi:10.22004/ag.econ.18682
dc.identifierhttps://ageconsearch.umn.edu/record/18682/files/sr950076.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/18682
dc.identifier.urihttp://hdl.handle.net/123456789/532212
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/18682
dc.titleModeling Consumption with Limited Dependent Variables: Applications to Pork and Cheese
dc.typeText

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