Composite quantile regression based robust empirical likelihood for partially linear spatial autoregressive models

Peixin Zhao; Suli Cheng; Xiaoshuang Zhou

doi:10.4310/22-sii764

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Composite quantile regression based robust empirical likelihood for partially linear spatial autoregressive models

Peixin Zhao Suli Cheng Xiaoshuang Zhou

Year: 2024 Journal: Statistics and Its Interface Vol: 17 (4)Pages: 749-761 Publisher: Lehigh University

DOI: 10.4310/22-sii764

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Keywords:

Autoregressive model Quantile regression Statistics Econometrics Mathematics Quantile Empirical likelihood Linear regression Quasi-maximum likelihood Linear model Computer science Maximum likelihood Likelihood function

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Spatial and Panel Data Analysis

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

Energy, Environment, Economic Growth

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

Regional Economics and Spatial Analysis

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

Composite quantile regression based robust empirical likelihood for partially linear spatial autoregressive models

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