2014
DOI: 10.1080/00036846.2014.985373
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Engineering robust instruments for GMM estimation of panel data regression models with errors in variables: a note

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Cited by 48 publications
(39 citation statements)
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“…To compute the robust instruments used in the GMM estimator, we follow closely our previous works (Racicot and Théoret 2014;Racicot 2015).…”
Section: Robust Instrumentsmentioning
confidence: 99%
“…To compute the robust instruments used in the GMM estimator, we follow closely our previous works (Racicot and Théoret 2014;Racicot 2015).…”
Section: Robust Instrumentsmentioning
confidence: 99%
“…Finally, the approach used in this paper can be extended to a panel data framework along the lines discussed in Racicot (2015 Tables Table 1 Descriptive statistics for the Fama-French 12 sector factors 1962m08 -2012m12…”
Section: Discussionmentioning
confidence: 99%
“…The main advantage of the panel data framework is that individual effects or heterogeneity can be tackled by allowing the constant term to vary across individuals (Greene, 2012;Racicot, 2015). There are certainly and number of disadvantages and limitations associated with panel data analysis; because the data are more complex to analyze, they do not consider heterogeneity or individuality.…”
mentioning
confidence: 99%