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The Environmental Kuznets Curve: Tipping Points, Uncertainty and Weak Identification AgEcon
Bernard, Jean-Thomas; Gavin, Michael; Khalaf, Lynda; Voia, Marcel.
We consider an empirical estimation of the Environmental Kuznets Curve (EKC) for carbon dioxide and sulphur, with a focus on confidence set estimation of the tipping point. Various econometric – parametric and nonparametric – methods are considered, reflecting the implications of persistence, endogeneity, the necessity of breaking down our panel regionally, and the small number of countries within each panel. In particular, we propose an inference method that corrects for potential weak-identification of the tipping point. Weak identification may occur if the true EKC is linear while a quadratic income term is nevertheless imposed into the estimated equation. Relevant literature to date confirms that non-linearity of the EKC is indeed not granted, which...
Tipo: Working Paper Palavras-chave: Environmental Kuznets Curve; Fieller method; Delta method; CO2 and SO2 emissions; Confidence set; Tipping point; Climate policy; Environmental Economics and Policy; C52; Q51; Q52; Q56.
Ano: 2011 URL: http://purl.umn.edu/119109
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Tests and confidence sets with correct size when instruments are potentially weak AgEcon
Mikusheva, Anna; Poi, Brian P..
We consider inference in the linear regression model with one endogenous variable and potentially weak instruments. We construct confidence sets for the coefficient on the endogenous variable by inverting the Anderson–Rubin, Lagrange multiplier, and conditional likelihood-ratio tests. Our confidence sets have correct coverage probabilities even when the instruments are weak. We propose a numerically simple algorithm for finding these confidence sets, and we present a Stata command that supersedes the one presented in Moreira and Poi (Stata Journal 3: 57–70).
Tipo: Journal Article Palavras-chave: Condivreg; Instrumental variables; Weak instruments; Confidence set; Similar test; Research Methods/ Statistical Methods.
Ano: 2006 URL: http://purl.umn.edu/117584
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