Hurdle Count-Data Models In Recreation Demand Analysis

When a sample of recreators is drawn from the general population using a survey, many in the sample will not recreate at a recreation site of interest. This study focuses on nonparticipation in recreation demand modeling and the use of modified count-data models. We clarify the meaning of the single-hurdle Poisson (SHP) model and derive the double-hurdle Poisson (DHP) model. The latter is contrasted with the SHP and we show the DHP is consistent with Johnson and Kotz's zero-modified Poisson model.

[1]  W. Greene,et al.  Accounting for Excess Zeros and Sample Selection in Poisson and Negative Binomial Regression Models , 1994 .

[2]  Jeffrey Englin,et al.  Estimating Social Welfare Using Count Data Models: An Application to Long-Run Recreation Demand under Conditions of Endogenous Stratification and Truncation , 1995 .

[3]  C. Lin,et al.  Attribute and Safety Perceptions in a Double-Hurdle Model of Shellfish Consumption , 1993 .

[4]  D. Shaw,et al.  On-site samples' regression : Problems of non-negative integers, truncation, and endogenous stratification , 1988 .

[5]  P. Holgate.  Estimation for the bivariate Poisson distribution , 1964 .

[6]  Wiktor L. Adamowicz,et al.  Statistical Properties of Welfare Measures from Count-Data Models of Recreation Demand , 1993 .

[7]  V. Smith,et al.  Taking Stock of Progress with Travel Cost Recreation Demand Methods: Theory and Implementation , 1989, Marine Resource Economics.

[8]  Costas Meghir,et al.  BIVARIATE ALTERNATIVES TO THE TOBIT MODEL , 1987 .

[9]  Stephen Pudney,et al.  Modelling Individual Choice: The Econometrics of Corners, Kinks, and Holes , 1991 .

[10]  D. Hellerstein.  The treatment of nonparticipants in travel cost analysis and other demand models , 1992 .

[11]  Diane Lambert,et al.  Zero-inflacted Poisson regression, with an application to defects in manufacturing , 1992 .

[12]  Richard T. Carson,et al.  Models for truncated counts , 1991 .

[13]  Daniel Hellerstein,et al.  A Theoretical Foundation for Count Data Models , 1993 .

[14]  Edward R. Morey,et al.  A Repeated Nested-Logit Model of Atlantic Salmon Fishing , 1993 .

[15]  W. Douglass Shaw,et al.  A Discrete-Choice Model of Recreational Participation, Site Choice, and Activity Valuation When Complete Trip Data Are Not Available' , 1991 .

[16]  Teofilo Ozuna,et al.  ESTIMATING A SYSTEM OF RECREATION DEMAND FUNCTIONS USING A SEEMINGLY UNRELATED POISSON REGRESSION APPROACH , 1994 .

[17]  Michael Creel,et al.  Theoretical and Empirical Advantages of Truncated Count Data Estimators for Analysis of Deer Hunting in California , 1990 .

[18]  J. Mullahy.  Specification and testing of some modified count data models , 1986 .

[19]  D. Waldman,et al.  Searching for a Model of Multiple-Site Recreation Demand that Admits Interior and Boundary Solutions , 1995 .

[20]  George R. Parsons,et al.  Site Aggregation in a Random Utility Model of Recreation , 1992 .