实证检验的策略操纵

W. Olszewski, Alvaro Sandroni
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引用次数: 36

摘要

理论可以由寻求知识声誉的专家提出。因此,测试人员可以预测,理论可能是由想要通过经验测试的不知情的专家战略性地产生的。我们表明,在允许的理论领域没有限制的情况下,无论使用哪种测试(只要测试不拒绝实际的数据生成过程),战略专家都不能在任意但给定的时间段内被怀疑。绕过这种不可能结果的自然方法包括:(1)假设无界数据集是可用的,(2)限制允许理论的领域(打开实际数据生成过程被拒绝的可能性)。在这两种情况下,都有可能解雇战略专家,但只是在有限的程度上。这些结果表明,当专家们战略性地提出理论时,数据所能达到的效果有很大的局限性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Strategic Manipulation of Empirical Tests
Theories can be produced by experts seeking a reputation for having knowledge. Hence, a tester could anticipate that theories may have been strategically produced by uninformed experts who want to pass an empirical test. We show that, with no restriction on the domain of permissible theories, strategic experts cannot be discredited for an arbitrary but given number of periods, no matter which test is used (provided that the test does not reject the actual data-generating process). Natural ways around this impossibility result include (1) assuming that unbounded data sets are available and (2) restricting the domain of permissible theories (opening the possibility that the actual data-generating process is rejected out-of-hand). In both cases, it is possible to dismiss strategic experts but only to a limited extent. These results show significant limits on what data can accomplish when experts produce theories strategically.
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