The Triangular Model with Random Coefficients-厦门大学金融系

The Triangular Model with Random Coefficients
主讲人 Stefan Hoderlein 简介 <p>&nbsp;<span style="font-size: 12px;">The triangular model is a very popular way to allow for causal inference in the presence&nbsp;</span>of endogeneity. In this model, an outcome is determined by an endogenous regressor,&nbsp;which in turn is first caused by an instrument. In this paper, we study the triangular model&nbsp;with random coefficients and exogenous regressors in both equations. We establish nonidentification of the joint distribution of the random coefficients, implying that counterfactual&nbsp;outcomes are also not identified. This result continues to hold, if we confine ourselves&nbsp;to the joint distribution of coefficients in the outcome equation or any marginal, except the&nbsp;one on the endogenous regressor. Identification continues to fail, even if we focus on means&nbsp;of random coefficients (implying that IV is generally biased), or let the instrument enter&nbsp;the first stage in a monotonic fashion. Based on this insight, we derive bounds on the joint&nbsp;distribution of random parameters, and suggest an additional restriction that allows to point&nbsp;identify the distribution of random coefficients in the outcome equation. We extend this&nbsp;framework to cover the case where the regressors and instruments have limited support, and&nbsp;analyze semi- and nonparametric sample counterpart estimators in finite and large samples.&nbsp;Finally, we provide an application of the framework to consumer demand.</p>
时间 2017-03-10(Friday)16:40-18:00 地点 N303, Econ Building
讲座语言 English 主办单位
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联系人信息 主持人 Qingliang Fan
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主讲人简介 <p>Associate Professor, Department of Economics,&nbsp;Boston College.</p> <p><span style="color: rgb(0, 0, 255);"><u style="color: rgb(0, 0, 255);"><strong>S</strong></u></span><u style="color: rgb(0, 0, 255);"><strong><a href="/Upload/File/2017/3/20170304105543949.pdf"><span style="color: rgb(0, 0, 255);">tefan Hoderlein's&nbsp;</span></a></strong><span style="color: rgb(0, 0, 255);"><strong>CV</strong></span></u></p> 期数 厦门大学高级计量经济学与统计学系列讲座2017春季学期第1讲(总第89讲)
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