pca2: implementing a strategy to reduce the instrument count in panel GMM

Bontempi, Maria Elena ; Mammi, Irene (2014) pca2: implementing a strategy to reduce the instrument count in panel GMM. Bologna: Dipartimento di Scienze economiche DSE, p. 25. DOI 10.6092/unibo/amsacta/4071. In: Quaderni - Working Paper DSE (960). ISSN 2282-6483.
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Abstract

The problem of instrument proliferation and its consequences (overfitting of the endogenous explanatory variables, biased IV and GMM estimators, weakening of the power of the overidentification tests) are well known. This paper introduces a statistical method to reduce the instrument count. The principal component analysis (PCA) is applied on the instrument matrix, and the PCA scores are used as instruments for the panel generalized method-of-moments (GMM) estimation. This strategy is implemented through the new command pca2.

Abstract
Tipologia del documento
Monografia (Working paper)
Autori
AutoreAffiliazioneORCID
Bontempi, Maria Elena
Mammi, Irene
Parole chiave
pca2, proliferation of instruments, principal component analysis, panel data, generalized method of moments
Settori scientifico-disciplinari
Area 13 - Scienze economiche e statistiche > SECS-P/05 Econometria
ISSN
2282-6483
DOI
10.6092/unibo/amsacta/4071
Data di deposito
02 Set 2014 10:39
Ultima modifica
16 Mar 2015 14:48
URI
https://amsacta.unibo.it/id/eprint/4071

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