IVREG29: Stata module for extended instrumental variables/2SLS and GMM estimation (v9)
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Note: This module may be installed from within Stata by typing "ssc install ivreg29". 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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Cited by:
- Horst Rottmann & Timo Wollmershäuser, 2013.
"A micro data approach to the identification of credit crunches,"
Applied Economics, Taylor & Francis Journals, vol. 45(17), pages 2423-2441, June.
- Horst Rottmann & Timo Wollmershäuser, 2010. "A Micro Data Approach to the Identification of Credit Crunches," CESifo Working Paper Series 3159, CESifo.
- Rottmann, Horst & Wollmershäuser, Timo, 2013. "A micro data approach to the identification of credit crunches," Munich Reprints in Economics 19741, University of Munich, Department of Economics.
- Wollmershäuser, Timo & Rottmann, Horst, 2010. "A micro data approach to the identification of credit crunches," Weidener Diskussionspapiere 24, University of Applied Sciences Amberg-Weiden (OTH).
- Alcaraz, Carlo & Chiquiar, Daniel & Salcedo, Alejandrina, 2012.
"Remittances, schooling, and child labor in Mexico,"
Journal of Development Economics, Elsevier, vol. 97(1), pages 156-165.
- Alcaraz Carlo & Chiquiar Daniel & Salcedo Alejandrina, 2010. "Remittances, Schooling, and Child Labor in Mexico," Working Papers 2010-14, Banco de México.
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Keywords
instrumental variables; Sargan test; robust estimation; orthogonality; GMM; Hansen's J; heteroskedastic OLS; HAC; bandwidth; k-class estimator; LIML; Stata;All these keywords.
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