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• 1. [Article] The Michigan Recreational Angling Demand Model

  The paper reports on a large-scale demand model for recreational fishing in Michigan. The model is based on the travel cost method and is specified as a four-level nested-logit. Seasonal participation ...

  Citation × Citation Citation Abstract Copy Title: The Michigan Recreational Angling Demand Model Author: Chen, Heng Zhang, Tomasi, Theodore D., Hoehn, John P., Lupi, Frank Year: 2001 The paper reports on a large-scale demand model for recreational fishing in Michigan. The model is based on the travel cost method and is specified as a four-level nested-logit. Seasonal participation is modeled by repeating the site choice logit over the course of a season. Data on anglers’ trips and site choices were collected using a year-long telephone panel survey of over 1,900 Michigan residents. The model distinguishes among a broad range of fishing trip types including trips of different lengths; trips for different species; and trips to Great Lake, inland lake, and inland stream sites. For Great Lakes fishing, anglers’ site choices are related to catch rates which vary spatially and temporally (i.e., time-varying site quality characteristics). Title: The Michigan Recreational Angling Demand Model Author: Chen, Heng Zhang, Tomasi, Theodore D., Hoehn, John P., Lupi, Frank Year: 2001 The paper reports on a large-scale demand model for recreational fishing in Michigan. The model is based on the travel cost method and is specified as a four-level nested-logit. Seasonal participation is modeled by repeating the site choice logit over the course of a season. Data on anglers’ trips and site choices were collected using a year-long telephone panel survey of over 1,900 Michigan residents. The model distinguishes among a broad range of fishing trip types including trips of different lengths; trips for different species; and trips to Great Lake, inland lake, and inland stream sites. For Great Lakes fishing, anglers’ site choices are related to catch rates which vary spatially and temporally (i.e., time-varying site quality characteristics). Close