EXPLANING ANGLERS BEHAVIOR USING COUNT DATA MODELS WITH ENDOGENOUS SWITCHING REGIME
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A two stage model describes the behavior of anglers who fish with or without a license. The proposed multinomial logit-count data model examines characteristics influencing those who fish for recreation and those who may choose to fish to supplement their food budgets. The model is estimated using data from the national survey. Results show, among others, that anglers who fish to supplement their diet are more likely to come from households run by women, with less income and were less educated than those who fished for recreational purposes.