消除创业中时间到事件模型的偏差

Paul P. Momtaz
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引用次数: 3

摘要

由于时间是创业决策的关键决定因素,时间到事件模型在创业中无处不在。然而,广泛的计量经济学误解可能会导致现有研究中的复杂偏差。其原因是虚假的时间依赖,这是一种由未观察到的异质性引起的复杂的内生性形式。本文讨论了创业中时间事件模型的内生性问题和方法。模拟和经验证据表明,只有脆弱性方法产生一致的无偏参数估计。一项对初创公司融资时间的应用表明,其他方法会导致显著的偏差。因此,本文主张在创业时间变量建模中进行范式转换。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Debiasing Time-to-Event Models in Entrepreneurship
Because time is a key determinant of entrepreneurial decision making, time-to-event models are ubiquitous in entrepreneurship. Widespread econometric misconception, however, may cause complicated biases in existing studies. The reason is spurious duration dependency, a complicated form of endogeneity caused by unobserved heterogeneity. This article discusses the endogeneity problem and methods to debias time-to-event models in entrepreneurship. Simulations and empirical evidence indicate that only the frailty approach yields consistently unbiased parameter estimates. An application to start-up firms’ time-to-funding shows that other methods lead to dramatic biases. Therefore, this article advocates a paradigm shift in the modeling of time variables in entrepreneurship.
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