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Home Events
Testing Instrumental Variable Validity with High-Dimensional Data and Heteroskedasticity
19Jan
Economics

Testing Instrumental Variable Validity with High-Dimensional Data and Heteroskedasticity

19 Jan 2022 | 10:40 a.m. – 12:10 p.m.
KK910 & Zoom
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Speaker:

Dr. FAN Qingliang
Assistant Professor
Department of Economics
The Chinese University of Hong Kong

 

Abstract:

In this paper, we propose a new test of instrumental variable (IV) validity in data-rich environments in terms of either high-dimensional IV or controls. The test works under a growing number of instruments and (or) controls which could be even larger than the sample size. Moreover, the test is shown to have desired properties of size and power under heteroskedasticity. Simulation results show the new test performs favorably compared to existing alternative tests.

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About Speaker
Dr. FAN Qingliang

Assistant Professor, Department of Economics, The Chinese University of Hong Kong

Testing Instrumental Variable Validity with High-Dimensional Data and Heteroskedasticity
19 Jan 202210:40 a.m. – 12:10 p.m.
KK910 & Zoom
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