Beschreibung:
<p>We demonstrate the usefulness of qualitative dependent variable regression techniques as modeling tools for wildlife managers interested in understanding the probability of a particular constituency participating in specific wildlife-related recreational activities. Understanding the degree and magnitude of the effects of socioeconomic, attitudinal, and other variables on participation is potentially important in wildlife programming for assessing future demands for services and in predicting potential effects on wildlife populations. We illustrate the use of logit and probit models on a poorly understood wildlife recreational activity-residential, appreciative (nonconsumptive) use. Previous investigations of appreciative recreation addressed trips away from home, but not activities around the home. Since most appreciative wildlife recreation occurs in residential settings, we believe residential activities are an untapped area for wildlife agencies to orient programming and marketing efforts to gain new constituents. We illustrate the application of discrete, dependent variable models to predict how participation rates respond to changes in socioeconomic variables and who is likely to participate.</p>