Tobit models have been used to address several questions in management research. Reviewing existing practices and applications, we discuss three challenges: (a) assumptions about the nature of data, (b) apparent interchangeability between censoring and selection bias, and (c) potential violations of key assumptions in the distribution of residuals. Empirically analyzing the relationship between import competition and industry diversification, we contrast Tobit models with results from other estimators and show the conditions that make Tobit a suitable empirical approach. Finally, we offer suggestions and guidelines on how to use Tobit models to deal with censored data in strategy research.

中文翻译：

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战略研究中的 Tobit 模型：关键问题和应用

Tobit 模型已被用于解决管理研究中的几个问题。回顾现有的实践和应用，我们讨论了三个挑战：（a）关于数据性质的假设，（b）审查和选择偏差之间的明显可互换性，以及（c）残差分布中关键假设的潜在违反。通过实证分析进口竞争与行业多元化之间的关系，我们将 Tobit 模型与其他估计器的结果进行了对比，并展示了使 Tobit 成为合适的实证方法的条件。最后，我们就如何使用 Tobit 模型处理策略研究中的删失数据提供建议和指导。