Estimating a System of Recreation Demand Functions Using a Seemingly Unrelated Poisson Regression Approach
提出似不相关泊松回归模型作为Zellner似不相关回归的替代，用于估计休闲需求函数系统，该模型渐近更有效且避免了偏差和不一致问题，并以休闲划船价值为例展示了两种模型消费者剩余估计的显著差异。
In this article, a seemingly unrelated Poisson regression model is presented as an alternative to using Zellner's seemingly unrelated regression model for estimating a system of recreation demand functions. The seemingly unrelated Poisson regression model provides estimates that are asymptotically more efficient than equation-by-equation Poisson estimates and circumvents the bias and inconsistency problems that result when using A. Zellner's seemingly unrelated regression model. Additionally, the seemingly unrelated Poisson regression model is applied to an empirical problem dealing with the value of recreational boating and the findings indicate that the seemingly unrelated regression model consumer surplus estimates are substantially different from those of the seemingly unrelated Poisson regression model. Copyright 1994 by MIT Press.