About a Nonlinear Two-Parameter Prediction Model Used for Investigating the Distribution of CO2 Emission in Europe
AbstractThe growth rate of different economies in Europe depends strongly on the production and, especially, on the consumption of energy resources. As an empirical rule, the development of such economies is closely interrelated with a consistent CO2 emission into atmosphere. However, this aspect has a negative impact on the quality of life of the people all over the world. In the present article we propose a methodology to improve the estimator accuracy of a nonlinear two-parameter prediction model used in Albu (2007) for studying the impact of the greenhouse effect on the macroeconomic growth. In order to prove the validity of the methodological proposals, a stochastic Monte Carlo simulation technique was applied.
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Bibliographic InfoArticle provided by Institute for Economic Forecasting in its journal Romanian Journal for Economic Forecasting.
Volume (Year): 6 (2009)
Issue (Month): 2 (June)
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nonlinear prediction model; parameter estimation; stochastic Monte Carlo simulation; the distribution of CO2 emission;
Find related papers by JEL classification:
- C46 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Specific Distributions
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
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- O11 - Economic Development, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
- Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
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