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| Parsons, George R.; Wilson, Aaron J.. |
| A theory for analyzing incidental consumption in a single site recreation demand model is presented. We show that incidental consumption on a recreation trip, such as a visit to see friends or a visit to a second recreation site, can be treated as a complementary good and analyzed using conventional theory. We also show that the analysis applies whether the side trips are incidental or joint. In a simple application we find that failing to account for incidental consumption appears to create little bias in valuing recreation sites. |
| Tipo: Journal Article |
Palavras-chave: Resource /Energy Economics and Policy. |
| Ano: 1997 |
URL: http://purl.umn.edu/31358 |
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| Parsons, George R.; Morgan, Ash; Whitehead, John C.; Haab, Timothy C.. |
| We use contingent behavior analysis to study the effects of pfiesteria-related fish kills on the demand for seafood in the Mid-Atlantic region. We estimate a set of demand difference models based on individual responses to questions about seafood consumption in the presence of fish kills and with different amounts of information provided about health risks. We use a random-effects Tobit model to control for correlation across each observation and to account for censoring. We find that (i) pfiesteria-related fish kills have a significant negative effect on the demand for seafood even though the fish kills pose no known threat to consumers through sea-food consumption, (ii) seafood consumers are not responsive to expert risk information designed to reassure... |
| Tipo: Journal Article |
Palavras-chave: Pfiesteria; Seafood demand; Non-market valuation; Resource /Energy Economics and Policy. |
| Ano: 2006 |
URL: http://purl.umn.edu/10205 |
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| Parsons, George R.; Stefanova, Stela. |
| We evaluate the stability of coefficient and willingness to pay (WTP) estimates for recreation services over two time periods. To address this question, we estimate a Random Utility Maximization (RUM) model of recreation demand, using two datasets from different time periods, but concerning the same study area. We then compare the estimation results and evaluate the temporal stability of preferences that drive recreation choices. The two datasets are on trips made by Delaware residents to beaches in the Mid-Atlantic region: Delaware, New Jersey, Maryland and Northern Virginia. The first dataset was collected using a mail survey in 1997 and the second dataset was gathered through an Internet survey in 2005. Besides the time periods, and the survey methods,... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Recreation demand; Nonmarket valuation; Environmental Economics and Policy; Q51; Q26. |
| Ano: 2009 |
URL: http://purl.umn.edu/49296 |
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