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argues for more emphasis on replication that specifically assesses whether the results reported in empirical studies are … diagnostic tests for misspecification. A replication plan is briefly outlined to illustrate what this would involve in practice …
Persistent link: https://www.econbiz.de/10011917552
argues for more emphasis on replication that specifically assesses whether the results reported in empirical studies are … diagnostic tests of misspecification. A replication plan is briefly outlined to illustrate what this would involve in practice in …
Persistent link: https://www.econbiz.de/10011725210
argues for more emphasis on replication that specifically assesses whether the results reported in empirical studies are … diagnostic tests of misspecification. A replication plan is briefly outlined to illustrate what this would involve in practice in …
Persistent link: https://www.econbiz.de/10011724631
We derive a new matrix statistic for the Hausman test for endogeneity in cross-sectional Instrumental Variables estimation, that incorporates heteroskedasticity in a natural way and does not use a generalized inverse. A Monte Carlo study examines the performance of the statistic for different...
Persistent link: https://www.econbiz.de/10014507912
We extend the popular bias-based test of Stock and Yogo (2005) for instrument strength in linear instrumental variables regressions with multiple endogenous regressors to be robust to heteroskedasticity and autocorrelation. Equivalently, we extend the robust test of Montiel Olea and Pflueger...
Persistent link: https://www.econbiz.de/10013277475
There is hope for the generalized method of moments (GMM). Lanne and Saikkonen (2011) show that the GMM estimator is inconsistent, when the instruments are lags of noncausal variables. This paper argues that this inconsistency depends on distributional assumptions, that do not always hold. In...
Persistent link: https://www.econbiz.de/10013117256
In a model with endogenous regressors, heteroskedastic and autocorrelated (HAC) errors and weak instruments, tests that depend on the data only through the Anderson-Rubin (AR) and Lagrange Multiplier (LM) statistics ignore important information on the regression coefficients. This is in contrast...
Persistent link: https://www.econbiz.de/10012891057
This paper considers tests and confidence sets (CSs) concerning the coefficient on the endogenous variable in the linear IV regression model with homoskedastic normal errors and one right-hand side endogenous variable. The paper derives a finite-sample lower bound function for the probability...
Persistent link: https://www.econbiz.de/10012042425
In a model with endogenous regressors, heteroskedastic and autocorrelated (HAC) errors and weak instruments, tests that depend on the data only through the Anderson-Rubin (AR) and Lagrange Multiplier (LM) statistics ignore important information on the regression coefficients. This is in contrast...
Persistent link: https://www.econbiz.de/10011958229
We extend the popular bias-based test of Stock and Yogo (2005) for instrument strength in linear instrumental variables regressions with multiple endogenous regressors to be robust to heteroskedasticity and autocorrelation. Equivalently, we extend the robust test of Montiel Olea and Pflueger...
Persistent link: https://www.econbiz.de/10014081811