Penalized empirical likelihood for partially linear errors-in-variables panel data models with fixed effects

Bang-Qiang He; Xing-Jian Hong; Guoliang Fan

doi:10.1007/s00362-018-1049-2

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Penalized empirical likelihood for partially linear errors-in-variables panel data models with fixed effects

Bang-Qiang He Xing-Jian Hong Guoliang Fan

Year: 2018 Journal: Statistical Papers Vol: 61 (6)Pages: 2351-2381 Publisher: Springer Science+Business Media

DOI: 10.1007/s00362-018-1049-2

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Keywords:

Mathematics Estimator Empirical likelihood Statistics Asymptotic distribution Likelihood function Monte Carlo method Linear regression Applied mathematics Estimation theory

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Spatial and Panel Data Analysis

Social Sciences → Economics, Econometrics and Finance → Economics and Econometrics

Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Monetary Policy and Economic Impact

Social Sciences → Economics, Econometrics and Finance → General Economics, Econometrics and Finance

Penalized empirical likelihood for partially linear errors-in-variables panel data models with fixed effects

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