Lessons From Quantile Panel Estimation of the Environmental Kuznets Curve

We employ quantile regression fixed effects models to estimate the income-pollution relationship on NO x (nitrogen oxide) and SO 2 (sulfur dioxide) using U.S. data. Conditional median results suggest that conditional mean methods provide too optimistic estimates about emissions reduction for NO x ,...

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Bibliographic Details
Published in:Econometric reviews 2014-11, Vol.33 (8), p.815-853
Main Authors: Flores, Carlos A., Flores-Lagunes, Alfonso, Kapetanakis, Dimitrios
Format: Article
Language:English
Subjects:
Carbon emissions
Covariance
Econometrics
Emissions control
Environmental Kuznets curve
Estimating techniques
Estimation
Hazardous air pollutants
Income and the environment
Methodology
Panel data
Panel quantile estimation
Regression analysis
Studies
U.S.A
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Summary:We employ quantile regression fixed effects models to estimate the income-pollution relationship on NO x (nitrogen oxide) and SO 2 (sulfur dioxide) using U.S. data. Conditional median results suggest that conditional mean methods provide too optimistic estimates about emissions reduction for NO x , while the opposite is found for SO 2 . Deleting outlier states reverses the absence of a turning point for SO 2 in the conditional mean model, while the conditional median model is robust to them. We also document the relationship's sensitivity to including additional covariates for NO x , and undertake simulations to shed light on some estimation issues of the methods employed.
ISSN:0747-4938
1532-4168
DOI:10.1080/07474938.2013.806148