The 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.