2012
DOI: 10.1080/07350015.2012.643126
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Using Heteroscedasticity to Identify and Estimate Mismeasured and Endogenous Regressor Models

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Cited by 1,654 publications
(1,828 citation statements)
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References 36 publications
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“…Second, we probe the exclusion restriction by (a) testing for alternative channels through which aid may affect democratic change in aid-receiving and (b) relaxing the exogeneity assumption to assess how doing so influences the estimates of interest. Third, we employ "internal" model-based instruments to identify the endogenous regressor through first-stage heteroskedasticity following Lewbel (2012).…”
Section: Empirical Approachmentioning
confidence: 99%
See 1 more Smart Citation
“…Second, we probe the exclusion restriction by (a) testing for alternative channels through which aid may affect democratic change in aid-receiving and (b) relaxing the exogeneity assumption to assess how doing so influences the estimates of interest. Third, we employ "internal" model-based instruments to identify the endogenous regressor through first-stage heteroskedasticity following Lewbel (2012).…”
Section: Empirical Approachmentioning
confidence: 99%
“…The approach proposed by Lewbel (2012) identifies a two-equation model by using the presence of heteroskedasticity (or a correlation between residuals and some exogenous covariates) in the "first- stage" linear regression. Identification exploits the fact that covariance between the "first-stage" errors and the exogenous variables (X) is not necessarily zero but rather heteroskedastic.…”
Section: Identification With the Lewbel Approachmentioning
confidence: 99%
“…13 For a continuous endogenous variable, please refer to Ebbes and Bockenholt (2009), Klein and Vella (2009a), Klein and Vella (2010), and Lewbel (2012) for related approaches. See, e.g., Chung and Zhang (2015) for an application of this type of IV approach.…”
Section: Basic Set-upmentioning
confidence: 99%
“…In practice, the type of restriction and the point identification strategy chosen determine the model to be used. Alternative approaches are given in Rigobon (2003), Klein and Vella (2010), Chalak and White (2011), and Lewbel (2012). However, in many empirical applications there is disagreement and concern about the exclusion restrictions imposed.…”
Section: Introductionmentioning
confidence: 99%