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来源类型Working Paper
规范类型报告
DOI10.3386/w26849
来源IDWorking Paper 26849
A Method to Estimate Discrete Choice Models that is Robust to Consumer Search
Jason Abaluck; Giovanni Compiani
发表日期2020-03-16
出版年2020
语种英语
摘要We state a sufficient condition under which choice data alone suffices to identify consumer preferences when choices are not fully informed. Suppose that: (i) the data generating process is a search model in which the attribute hidden to consumers is observed by the econometrician; (ii) if a consumer searches good j, she also searches goods which are better than j in terms of the non-hidden component of utility; and (iii) consumers choose the good that maximizes overall utility among searched goods. Canonical models will be biased: the value of the hidden attribute will be understated because consumers will be unresponsive to variation in the attribute for goods that they do not search. Under the conditions above and additional mild restrictions, an alternative method of recovering preferences using cross derivatives of choice probabilities succeeds regardless of the search protocol and is thus robust to whether consumers are informed. The approach nests several standard models, including full information. Our methods suggest natural tests for full information and can be used to forecast how consumers will respond to additional information. We verify in a lab experiment that our approach succeeds in recovering preferences when consumers engage in costly search.
主题Econometrics ; Estimation Methods ; Data Collection ; Experimental Design ; Microeconomics ; Welfare and Collective Choice ; Economics of Information
URLhttps://www.nber.org/papers/w26849
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/584522
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Jason Abaluck,Giovanni Compiani. A Method to Estimate Discrete Choice Models that is Robust to Consumer Search. 2020.
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