Empirical Likelihood Testing for Linear Instrumental Variable Regression Models

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Abstract:

Based on the empirical likelihood method, an instrumental variable based testing procedure is proposed for linear regression models with instrumental variables. The proposed testing method can attenuate the effect of endogeneity of covariates. Some simulations indicate that the proposed testing method is more powerful.

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Advanced Materials Research (Volumes 1008-1009)

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1501-1504

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August 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] S. Greenland, An introduction to instrumental variables for epidemiologists, International Journal of Epidemiologists. 29 (2000) 722-729.

DOI: 10.1093/ije/29.4.722

Google Scholar

[2] M.A. Hernan, J.M. Robins, Instruments for causal inference-an epidemiologists dream? Epidemiology. 17 (2006) 360-372.

Google Scholar

[3] J.P. Newhouse, M. McClellan, Econometrics in outcomes research: the use of instrumental variables, Annual Review of Public Health. 19 (1998) 17-24.

DOI: 10.1146/annurev.publhealth.19.1.17

Google Scholar

[4] M. Caner, B.E. Hansen, Instrumental variable estimation of a threshold model, Econometric Theory. 20 (2004) 813-843.

DOI: 10.1017/s0266466604205011

Google Scholar

[5] M. Das, Instrumental variables estimator for nonparametric models with discrete endogenous regressions, Journal of Econometrics. 124 (2005) 335-361.

DOI: 10.1016/j.jeconom.2004.02.001

Google Scholar

[6] W.K. Newey, J.L. Powell, Nonparametric instrumental variables estimation, Econometrica. 71 (2003) 1565-1578.

DOI: 10.1111/1468-0262.00459

Google Scholar