@article{Smith:9681,
      recid = {9681},
      author = {Smith, Martin D. and Zhang, Junjie},
      title = {Sorting Models in Discrete Choice Fisheries Analysis},
      address = {2007},
      number = {381-2016-22142},
      series = {Selected Paper 174233},
      pages = {31},
      year = {2007},
      abstract = {One of the greatest challenges facing empirical fisheries  researchers is to endogenize fishing effort in bioeconomic  models in a way that accounts for fleet heterogeneity. Such  heterogeneity can manifest in a wide range of both  observable and unobservable characteristics of fishing  vessels and individual fishermen. Without accounting for  heterogeneity, we simply have an incomplete understanding  of how pressure on fish resources responds to policy  instruments that are available, the states of fish stocks,  and exogenous shocks to the system. Largely due to data  limitations, the discrete choice fisheries literature has  focused on modeling unobserved heterogeneity through random  parameters. In this paper, we draw on the industrial  organization literature on product differentiation and the  public economics literature on spatial sorting to estimate  sorting models of observable heterogeneity. Models of this  type estimate individual-specific structural coefficients  based on observable individual characteristics and  choice-specific constants using contraction mapping. We  apply the methods to location choices and target species  choices in the Gulf of Mexico reef-fish fishery. For this  application, we have an unusual data set that couples daily  observations from logbooks with demographic information  from a mail survey of captains. We use contraction mapping  to control for spatially-, and species-explicit stock  information. The models are used to explore spatial and  inter-temporal species effort substitution in response to  two marine reserves, which are implemented in sample.},
      url = {http://ageconsearch.umn.edu/record/9681},
      doi = {https://doi.org/10.22004/ag.econ.9681},
}