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CJIVE: Stata module to perform Cluster Jackknife Instrumental Variables Estimation (CJIVE)

Brigham Frandsen (), Emily Leslie () and Samuel McIntyre ()
Additional contact information
Brigham Frandsen: Brigham Young University
Emily Leslie: Brigham Young University
Samuel McIntyre: Brigham Young University

Statistical Software Components from Boston College Department of Economics

Abstract: CJIVE estimates coefficients on potentially endogenous regressors via leave-one-cluster-out jackknife instrumental variables. This estimator is appropriate when there are many instruments and inference must be clustered because of, for example, a clustered structure of the error term covariance. Two-stage least squares and well-known alternatives such as LIML and jackknife instrumental variables estimation (JIVE) are biased and inconsistent in such settings. CJIVE eliminates that bias.

Language: Stata
Requires: Stata version 18
Keywords: instrumental variables; IV; cluster; jackknife (search for similar items in EconPapers)
Date: 2025-05-10
Note: This module should be installed from within Stata by typing "ssc install cjive". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/c/cjive.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/c/cjive.sthlp help file (text/plain)

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Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s459455

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Handle: RePEc:boc:bocode:s459455