Causal misspecifications in econometric models
AbstractWe bridge together the graph-theoretic and the econometric approach for defining causality in statistical models to consider model misspecification problems. By presenting a solution to disagreements between the existing frameworks, we build a causal framework that allows us to express causal implications of econometric model specifications. This allows us to reveal possible inconsistencies in models used for policy analysis. In particular, we show how a common practice of doing policy analysis with vector error-correction models fails. As an example, we apply these concepts to discover fundamental flaws in a resent strand of literature estimating the carbon Kuznetz curve, which postulates that carbon dioxide emissions initially increase with economic growth but that the relationship is eventually reversed. Due to a causal misspecification, the compatibility between climate and development policy goals is overstated.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 31397.
Date of creation: 27 May 2011
Date of revision:
Causality; Policy evaluations; Energy consumption; Carbon dioxide emissions; Economic growth; Environmental Kuznets curve.;
Find related papers by JEL classification:
- C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
- Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters
- Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-06-18 (All new papers)
- NEP-ECM-2011-06-18 (Econometrics)
- NEP-ENV-2011-06-18 (Environmental Economics)
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