Recreational fishing license sales bring in huge revenues for state governments. There is tremendous value in knowing how a state could increase that revenue by selling more licenses. Much research has been done on modeling the demand for fishing using resident license sales as the dependent variable, but no one has looked at what determines non-resident fishing license sales. Therefore, the purpose of this thesis is to build a model to describe the determinants of non-resident fishing license sales in the state of Minnesota. Using twelve years worth of data and an ordinary least squares regression model this paper will examine the effects various variables have on non-resident license demand. Understanding what drives non-resident license sales can be very helpful for states hoping to increase license revenues.
This paper examines the effects of price, income, creel limit and rain on annual Pennsylvania resident fishing license sales. Data was collected from 1954 to 2016 by the Pennsylvania Fish and Boat Commission, Bureau of Labor Statistics, U.S. Census Bureau, Pennsylvania Department of Revenue and National Oceanic and Atomspheric Administration (NOAA) Regional Climate Center. (License price, trout stamp price, disposable income, creel limit, and rain in the western part of Pennsylvania are significant determinants of annual resident license sales.)