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| Chen, Min; Lupi, Frank. |
| Different kinds of endogeneity problems in Random Utility Models of recreation demand have been studied in previous literature. Some site characteristics, like facilities, could be endogenous in an economic sense due to the interplay of supply and demand. That is, it may be that more popular recreation sites tend to have better site characteristics since managers with limited budgets would be more willing to invest in them. If recreation site improvements are more likely to occur at the more popular sites, then might this economic endogeneity cause problems for econometric models linking site demand to facilities. In this paper, we use Monte Carlo simulations to test whether this economic endogeneity will lead to statistical endogeneity. |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Random Utility Models; Facilities; Endogeneity; Monte Carlo simulations; Environmental Economics and Policy. |
| Ano: 2009 |
URL: http://purl.umn.edu/49449 |
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| Chen, Min. |
| Random Utility Models of recreation demand are widely used to relate demand and value to the characteristics of recreation sites. Although some kinds of endogeneity problems have been studied in previous literature, no study has addressed the potential problem with site characteristics that are endogenously supplied. Some site characteristics, like facilities, could be endogenous in an economic sense due to the interplay of supply and demand. That is, more popular recreation sites tend to have better site characteristics since managers with limited budgets would be more willing to invest in them. If recreation site improvements are more likely to occur at the more popular sites, then this economic endogeneity might cause problems for econometric models... |
| Tipo: Thesis or Dissertation |
Palavras-chave: Random Utility Maximization models; Facilities; Endogeneity; Monte Carlo simulations; Environmental Economics and Policy; Q51. |
| Ano: 2009 |
URL: http://purl.umn.edu/55808 |
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| Blain,Gabriel Constantino. |
| The Mann-Kendall test has been used to detect climate trends in several parts of the Globe. Three variance correction approaches (MKD, MKDD and MKRD) have been proposed to remove the influence of serial correlation on this trend test. Thus, the main goal of this study was to evaluate the probability of occurrence of types I and II errors associated with these three approaches. The results obtained by means of Monte Carlo simulations and from a case of study allowed us to drawn the following conclusions: All approaches are capable of meeting the adopted significant level when they are applied to trend-free uncorrelated series. The approaches are as powerful as the original MK test when they are applied to uncorrelated series. Regarding serially correlated... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Monte Carlo simulations; Serial correlation; Climate change. |
| Ano: 2013 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052013000400014 |
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