Choosing between Order‐of‐Entry Assumptions in Empirical Entry Models: Evidence from Competition between Burger King and McDonald's Restaurant Outlets
展示如何用Vuong非嵌套检验评估进入顺序假设的适用性，以美国小型市场中麦当劳和汉堡王的门店数据为例，发现汉堡王具有先发优势的假设更受统计支持，并通过蒙特卡洛实验验证了方法的可靠性。
We demonstrate how a non‐nested statistical test developed by V uong [1989] can be used to assess the suitability of alternate order‐of‐entry assumptions used for identification purposes in empirical entry models. As an example, we estimate an entry model of M c D onald's and B urger K ing restaurant outlets in U nited S tates. The data set focuses on relatively small ‘isolated’ markets. For these markets, the non‐nested tests suggest that order‐of‐entry assumptions that give B urger K ing outlets a first‐mover advantage are statistically preferred. Last, a M onte C arlo experiment provides encouraging results suggesting that the Vuong‐type test yields reliable results within the entry model framework.