WEAKIVTEST2: Stata module to compute Robust Test for Weak Instruments with Multiple Endogenous Regressors
Lingyun Zhou ()
Additional contact information
Lingyun Zhou: PBC School of Finance, Tsinghua University
Statistical Software Components from Boston College Department of Economics
Abstract:
weakivtest2 implements the robust bias-based test for weak instruments for two-stage least squares (2SLS) with multiple endogenous regressors proposed by Lewis and Mertens (2024, accepted by the Review of Economic Studies). weakivtest2 allows for absolute and relative bias criteria, local-to-zero and local-to-rank-reduction-of-one asymptotics, and testing for either the full vector or individual elements of the 2SLS estimator. The command serves as a post-estimation command for ivreg2, xtivreg2, and ivreghdfe.
Language: Stata
Requires: Stata version 17 and ivreg2, xtivreg2, avar from SSC (q.v.)
Keywords: instrumental variables; weak instruments; heteroskedasticity; autocorrelation; Lewis; Mertens; Stock; Yoo; Olea; Pflueger (search for similar items in EconPapers)
Date: 2024-03-29, Revised 2025-07-30
Note: This module should be installed from within Stata by typing "ssc install weakivtest2". 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.
References: Add references at CitEc
Citations:
Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/w/weakivtest2.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/w/weakivtest2.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/w/weakivtest2_demo.do program code (text/plain)
http://fmwww.bc.edu/repec/bocode/d/dataFiscal.dta supplementary data file (application/x-stata)
Our link check indicates that this URL is bad, the error code is: 404 Not Found
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s459310
Ordering information: This software item can be ordered from
http://repec.org/docs/ssc.php
Access Statistics for this software item
More software in Statistical Software Components from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().