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USING ACTUAL AND CONTINGENT BEHAVIOR DATA WITH DIFFERING LEVELS OF TIME AGGREGATION TO MODEL RECREATION DEMAND AgEcon
Cameron, Trudy Ann; Shaw, W. Douglass; Ragland, Shannon E.; Callaway, J. Mac; Keefe, Sally.
A model of recreation demand is developed to determine the role of water levels in determining participation at and frequency of trips taken to various federal reservoirs and rivers in the Columbia River Basin. Contingent behavior data are required to break the near-perfect multicollinearities among water levels at some waters. We combine demand data for each survey respondent at different levels of time aggregation (summer months, rest of year, and annual), and our empirical models accommodate the natural heteroskedasticity that results. Our empirical results show it to be quite important to control carefully for survey nonresponse bias.
Tipo: Journal Article Palavras-chave: Resource /Energy Economics and Policy.
Ano: 1996 URL: http://purl.umn.edu/30996
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'Scenario Adjustment' in Stated Preference Research AgEcon
Cameron, Trudy Ann; Deshazo, J.R.; Johnson, Erica H..
To assess demand for non-market goods, researchers must sometimes resort to direct elicitation of consumer tradeoffs with the use of surveys. Stated preference (SP) methods typically involve surveys of consumers wherein choice scenarios are posed to respondents and individuals are asked to indicate their preferred alternatives. As SP research has matured, much progress has been made to address a variety of well-known biases that can afflict demand estimates produced by these methods, but some concerns still remain. We use an existing survey designed to ascertain willingness to pay for private health-risk reduction programs to illustrate yet another potential source of bias. This bias is caused when not all respondents answer exactly the choice question...
Tipo: Conference Paper or Presentation Palavras-chave: Value of a statistical life; Value of a statistical illness profile; Health risk reductions; Stated preference; Scenario rejection; Scenario adjustment; Demand and Price Analysis; Q51.
Ano: 2007 URL: http://purl.umn.edu/9739
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