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Test of Choice Set Misspecification for Discrete Models of Consumer Choice

机译:消费者选择离散模型的选择集测试不正确

摘要

We develop and evaluate a test of choice set misspecification for a multinomial logit choice model. This test determines whether the choice set designated by the researcher mistakenly assigns relevant substitutes to the numeraire good. We develop this test by generalizing the traditional McFadden-type conditional logit model to evaluate whether the traditional model is conditioned on an overly restrictive set of substitution possibilities. The test has a convenient feature: while it requires information on potentially relevant, but omitted, substitute goods, it does not require the researcher to observe consumers? choices among these omitted potential substitutes if they select the numeraire good (which contains these omitted substitutes). A comparison of the traditional multinomial logit choice model and our more general model suggests that choice set misspecification may produce biased parameters that distort welfare estimates to a consequential extent.
机译:我们为多项式logit选择模型开发和评估选择集错误指定的测试。该测试确定研究人员指定的选择集是否错误地将相关替代物分配给了商品清单。我们通过推广传统的McFadden类型的条件logit模型来开发此测试,以评估传统模型是否以过度限制的替代可能性为条件。该测试具有便利的功能:虽然它需要有关潜在相关但被省略的替代商品的信息,但它不需要研究人员观察消费者吗?如果选择了商品编号(包含这些省略的替代项),则在这些省略的潜在替代项中进行选择。传统的多项式对数选择模型与我们更通用的模型的比较表明,选择集错误指定可能会产生有偏差的参数,从而使福利估计值产生一定程度的扭曲。

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