Modeling Yeah- and Nay-Saying to Alternatives in Conjoint Experiments

Using a series of hurdle choice models, this study considers both nay-saying and yeah-saying to alternatives offered in a conjoint experiment. These behaviors are characterized by respondents persistently choosing the no-choice alternative or choosing at least one of the non-empty options offered in a survey. Results show that jointly consider nay-saying and yeah-saying in a two-hurdle model drastically improves model fit; welfare implications based on hurdle models are also different from those based on models without hurdle specification.conjoint experiment, hurdle choice model, yeah and nay-saying, Research Methods/ Statistical Methods, D12, C25,

Determinants of Savings and Remittances – Empirical Evidence from Immigrants to Germany

This paper investigates the determinants of migrants’ financial transfers to their home country using German data.A double-hurdle model is applied to analyze the determinants of the propensity to send transfers abroad and the amount of transfers.The findings reveal that return intentions positively affect financial transfers of immigrants to their home country. Moreover, while the effect of the household size on migrants’ transfers abroad turns out to be significantly negative, remittances are higher if close relatives live in the sending country. Finally,Vuong-tests indicate that the double-hurdle model is the correct specification for the analysis of migrants’ savings and remittances rather than the conventional Tobit model usually applied in the literature.International migration, savings, remittances, double-hurdle model

MODELING FRESH ORGANIC PRODUCE CONSUMPTION: A GENERALIZED DOUBLE-HURDLE MODEL APPROACH

Using actual retail data, this study is intended to profile consumers' social economic characteristics related to the growth of the fresh organic produce market with a generalized double-hurdle model. The nested test shows that the above model performs significantly better than Cragg's independent double-hurdle model and Tobit model.Food Consumption/Nutrition/Food Safety,

PANEL DATA DOUBLE-HURDLE MODEL: AN APPLICATION TO DAIRY ADVERTISING

In this study, we extend to panel data structures the double-hurdle model typically used in cross-sectional data. The new double-hurdle model can account not only for the censored nature of commodity purchases, but also for the dynamics of the purchase process. In this model, a flexible error structure is assumed to account for state dependence and household-specific heterogeneity. In the empirical application for milk purchase, we find that generic advertising increases the probability of market participation as well as the purchase quantity and incidence. Temporal dependence is also found in both purchase and participation equations.double-hurdle model, panel data, household purchase, milk, advertising, heterogeneity, state dependence, simulated maximum likelihood, Marketing,

Consumer Behaviour in Lotto Markets: The Double Hurdle Approach and Zeros in Gambling Survey Data

Governments world-wide increasingly rely on gambling revenues, increasing the importance of understanding who gambles and why. Previous literature used Tobit and Heckman models to statistically analyze participation in gambling. These models make strong assumptions about the nature of gambling participation. We examine the double hurdle model as an alternative to other statistical approaches to modeling gambling participation and spending. Our results, based on data from a 2002 survey of gambling prevalence in Alberta, clearly prefer the double hurdle mode, which yields different results than the commonly used Tobit model.gambling; censored regression; double hurdle model

AT-HOME SEAFOOD CONSUMPTION IN KENTUCKY: A DOUBLE-HURDLE MODEL APPROACH

This study investigates demographic and socioeconomic factors contributing to at-home consumption of seafood in Kentucky through a 2010 survey. The Tobit and Cragg’s double-hurdle model are analyzed and tested. Numbers of people in the household, household income, race and employment status are significant determinants of at-home seafood consumption in Kentucky.Food Consumption/Nutrition/Food Safety, Seafood consumption, At-home, Kentucky, Double-Hurdle Model,

ANALYZING FRESH VEGETABLE CONSUMPTION FROM HOUSEHOLD SURVEY DATA

To analyze fresh vegetable consumption using household survey data, the tobit model and a more flexible parameterization to the tobit model - the "double hurdle" model - were considered. Based on the likelihood ratio test, the tobit model was rejected against the "double hurdle" specification. Moreover, the results suggest that the tobit model underestimated the impact of the explanatory variables on fresh vegetable expenditures. Other results indicate that total food expenditures (proxy for income), age, household composition, sex, race, marital status, urbanization, region, and seasonality are all important determinants of fresh vegetable expenditures.Food Consumption/Nutrition/Food Safety,

TRUNCATED-AT-ZERO COUNT DATA MODELS WITH PARTIAL OBSERVABILITY: AN APPLICATION TO THE FRESHWATER FISHING DEMAND IN THE SOUTHEASTERN U.S.

We extend the double-hurdle count data model to account for a joint decision in the first stage in which the individual jointly makes a decision about a participation in fishing and a site (region) selection decision. Contrary to the conventional the double-hurdle count data model, our model discriminates between the effects of non-participant and potential participants (e.g., potential participants are those who participated in fishing but may or may not take a trip to a specific site, the Southeastern U.S.) on the probability of taking a fishing trip.Consumer/Household Economics,