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International Journal of Multivariate Data Analysis

 

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International Journal of Multivariate Data Analysis (1 paper in press)

 

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  • Application of Zero-Inflated Negative Binomial Regression Model to U.S. Saltwater Recreational Fishing Trips with Excess Zeros   Order a copy of this article
    by Yeong Nain Chi 
    Abstract: This study employed the zero-inflated negative binomial regression model to analyze U.S. saltwater recreational fishing trips with excess zeros, using a cross-sectional data extracted from the 2011 National Survey of Fishing, Hunting, and Wildlife Associated Recreation. Count data, such as recreational fishing trips taken by anglers, is increasingly common in recreational fishing demand analysis. The zero-inflated negative binomial regression model was fitted because of the suspicion of excess zeros in this count data as well as over-dispersion. The parameter estimates for the zero-inflated negative binomial regression model is made up of two parts, the negative binomial regression model for the not certain zero group and the zero inflation portion for the certain zeros. Empirical results of this study provide insight into the determinants of saltwater recreational fishing trips, which can be used in analyzing the social and economic values of saltwater recreational fisheries management.
    Keywords: Saltwater; Recreational Fishing; Trips; Count Data; Over-Dispersion; Excess Zeros; Zero-Inflated Negative Binomial Regression Model.