Sparse Models and Methods for Optimal Instruments With an Application to Eminent Domain
We develop results for the use of Lasso and post-Lasso methods to form first-stage predictions and estimate optimal instruments in linear instrumental variables (IV) models with many instruments, p. Our results apply even when p is much larger than the sample size, n. We show that the IV estimator b...
Main Authors: | Belloni, A. (Author), Chen, D. (Author), Chernozhukov, Victor V. (Contributor), Hansen, C. (Author) |
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Other Authors: | Massachusetts Institute of Technology. Department of Economics (Contributor) |
Format: | Article |
Language: | English |
Published: |
Econometric Society,
2013-12-02T20:11:58Z.
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Subjects: | |
Online Access: | Get fulltext |
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