To measure economic impacts of natural resource management policy, we need good models that address harvesters' response to the policy change. My research is about developing models of harvester behavior, particularly focusing on the dynamic aspect of their decisions. We assume that harvesters maximize their objective functions, such as profit or utility, by choosing their decision variables. Harvesters have a wide range of margins, and the importance of each margin depends on fisheries and context. In my job market paper, I modeled harvesters’ choice on fishing trip duration using daily catch data and dynamic discrete choice model. In another project of mine, seasonal dynamics in quota use allocation in Alaskan pollock fishery is investigated.