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'Been There Done That': Disentangling Option Value Effects from User Heterogeneity When Valuing Natural Resources with a Use Component

机译:“做到这一点”:当评估具有使用成分的自然资源时,从用户异质性中区分期权价值效应

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Endogeneity bias arises in contingent valuation studies when the error term in the willingness to pay (WTP) equation is correlated with explanatory variables because observable and unobservable characteristics of the respondents affect both their WTP and the value of those variables. We correct for the endogeneity of variables that capture previous experience with the resource valued, humpback whales, and with the geographic area of study. We consider several endogenous behavioral variables. Therefore, we apply a multivariate Probit approach to jointly model them with WTP. In this case, correcting for endogeneity increases econometric efficiency and substantially corrects the bias affecting the estimated coefficients of the experience variables, by isolating the decreasing effect on option value caused by having already experienced the resource. Stark differences are unveiled between the marginal effects on WTP of previous experience of the resource in an alternative location versus experience in the location studied, Newfoundland and Labrador (Canada).
机译:当支付意愿(WTP)方程中的误差项与解释变量相关时,内生性偏差就会出现在或有估值研究中,因为受访者的可观察和不可观察特征会影响他们的WTP和这些变量的价值。我们对变量的内生性进行了校正,这些变量可以利用资源,座头鲸和研究地理区域来捕捉先前的经验。我们考虑了几个内生的行为变量。因此,我们采用多元Probit方法与WTP联合建模。在这种情况下,对内生性的校正可以提高计量经济学的效率,并通过隔离因已经经历过资源而对期权价值产生的减少影响,来校正影响经验变量的估计系数的偏差。以前在替代地点的资源经验对WTP的边际影响与在纽芬兰和拉布拉多(加拿大)所研究地点的经验之间的显着差异。

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