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Identification and efficiency bounds for the average match function under conditionally exogenous matching

机译:条件外源匹配下的平均匹配函数的识别和效率界限

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摘要

Consider two heterogenous populations of agents who, when matched, jointly produce an output, Y. For example, teachers and classrooms of students together produce achievement, parents raise children, whose life outcomes vary in adulthood, assembly plant managers and workers produce a certain number of cars per month, and lieutenants and their platoons vary in unit effectiveness. Let W 2 W = {w1, . . . ,wJ} and X 2 X = {x1, . . . ,xK} denote agent types in the two populations. Consider the following matching mechanism: take a random draw from the W = wj subgroup of the first population and match her with an independent random draw from the X = xk subgroup of the second population. Let udf (wj, xk), the average match function (AMF), denote the expected output associated with this match. We show that (i) the AMF is identified when matching is conditionally exogenous, (ii) conditionally exogenous matching is compatible with a pairwise stable aggregate matching equilibrium under specific informational assumptions, and (iii) we calculate the AMF's semiparametric efficiency bound.
机译:考虑两个不同的代理人群体,当他们配对时,他们共同产生一个产出Y。例如,教师和学生的教室一起产生成就,父母养育孩子,他们的成年生活因人而异,装配厂经理和工人产生一定数量每月的汽车数量,中尉及其排的单位效能各不相同。令W 2 W = {w1,。 。 。 ,wJ}和X 2 X = {x1,。 。 。 ,xK}表示两个总体中的代理类型。考虑以下匹配机制:从第一个总体的W = wj子组中随机抽取一个,并将其与第二个总体的X = xk子组中的独立随机抽取进行匹配。令 udf(wj,xk)为平均匹配函数(AMF),表示与此匹配关联的预期输出。我们表明(i)当匹配是有条件外生时识别的AMF,(ii)有条件外生匹配在特定的信息假设下与成对稳定的聚集匹配平衡兼容,并且(iii)我们计算AMF的半参数效率界限。

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