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Lessons from Quantile Panel Estimation of the Environmental Kuznets Curve
| Content Provider | Semantic Scholar |
|---|---|
| Author | Flores, Carlos Aranda Flores-Lagunes, Alfonso Kapetanakis, Dimitrios |
| Copyright Year | 2012 |
| Abstract | We employ quantile regression fixed effects models to estimate the income-pollution relationship on NOx (nitrogen oxide) and SO2 (sulfur dioxide) using U.S. data. Conditional median results suggest that conditional mean methods provide too optimistic estimates about emissions reduction for NOx, while the opposite is found for SO2. Deleting outlier states reverses the absence of a turning point for SO2 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 NOx, and undertake simulations to shed light on some estimation issues of the methods employed. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://web.calpoly.edu/~cflore32/research_papers/FKF_112712_ER.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Aggregate data Baseline (configuration management) Coefficient Conditional entropy Disease regression Dynamic Graphics Project Emission - Male genitalia finding Estimated Fixed effects model Genetic Heterogeneity Heating Leucaena pulverulenta Levinson recursion Monte Carlo method Nitrogen Oxides Outlier Population Density Quantile Semiparametric model Shock Simulation Specification Sulfur Dioxide Time-invariant system Toxic Substances, Environmental monotone pollutant |
| Content Type | Text |
| Resource Type | Article |
