Site Aggregation in a Random Utility Model of Recreation
Site Aggregation in a Random Utility Model of Recreation
复制标题
休闲随机效用模型中的站点聚合
DOI：
10.2307/3146698
复制
发表时间：
1992
期刊：
影响因子：
1.4
通讯作者：
Michael S. Needelman
中科院分区：
文献类型：
--
作者：
G. Parsons;Michael S. Needelman
随机效用模型通常用于对一组备选方案中的选择进行建模。通常，由于数据或计算的限制，分析师必须使用汇总的替代方案来估计模型。这些总量是通过对预先指定的群体的替代品的特征进行平均来定义的。在这个分析中，我们证明，除非一些非常严格的条件下，使用聚合的替代品将导致有偏见的结果。然后，使用一组数据的休闲钓鱼在威斯康星州，我们显示的影响，这种偏见可以从模型估计的结果。
Random Utility Models are commonly used to model the choice among a set of alternatives. Often, due to data or computational constraints, the analyst must use aggregated alternatives to estimate the model. These aggregates are defined by averaging characteristics of alternatives over prespecified groups. In this analysis, we demonstrate that unless some very restrictive conditions hold, the use of aggregated alternatives will lead to biased results. Then, using a data set of recreational fishing in Wisconsin, we show the effects that this bias can have on the results estimated from the model.