阈值事件与识别:现金短缺研究

Tor-Erik Bakke, Toni M. Whited
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引用次数: 115

摘要

阈值事件是可观察连续变量通过已知阈值时触发的离散事件。我们通过重新审视Rauh(2006)关于强制性养老金缴款导致投资下降的证据,展示了如何使用阈值事件作为识别策略。劳的结果源于资金严重不足的公司,这些公司只占样本的一小部分,在重要方面与样本的其余部分不同;也就是说,对照组不同于治疗组。为了缓解这个问题,我们在资金阈值附近进行观察,发现强制性捐款对应收账款、研发和招聘的因果影响,但对投资没有影响。我们还为分析阈值事件提供了有用的建议和诊断。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Threshold Events and Identification: A Study of Cash Shortfalls
Threshold events are discrete events triggered when an observable continuous variable passes a known threshold. We demonstrate how to use threshold events as identification strategies by revisiting the evidence in Rauh (2006) that mandatory pension contributions cause investment declines. Rauh's result stems from heavily underfunded firms that constitute a small fraction of the sample and that differ from the rest of the sample in important ways; that is, the control group differs from the treated group. To alleviate this issue, we use observations near funding thresholds and find causal effects of mandatory contributions on receivables, R&D, and hiring, but not on investment. We also provide useful suggestions and diagnostics for analyzing threshold events.
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