Environmental Kuznets curves: Bayesian evidence from switching regime models
نویسندگان
چکیده
The purpose of the paper is to test empirically the existence of an environmental Kuznets Ž . curve EKC , using switching regime models along with cross-sectional data and Bayesian Markov chain Monte Carlo methods to perform the computations. The models are based on the normal and Student’s t distributions. These methods allow us to present exact, finitesample posterior distributions of switching regime model parameters as well as exact probabilities of separation of countries into regimes of high and low environmental degradation. Our evidence indicates a monotonic relationship between environmental degradation and income and thus rejects the existence of an EKC. Additionally, we find that several economic and demographic variables cannot explain the distinction between low and high damage countries. 2001 Elsevier Science B.V. All rights reserved. JEL classifications: C11; C15; Q2
منابع مشابه
Bayesian Econometrics Approach in Determining of Effecting Factors on Pollution in Developing Countries (based on Environmental Performance Index)
Emphasis on sustainable development and the need to protect the environment as well as the adverse effects of environmental pollution on the quality of life have made environmental protection one of the main concerns of economic policymakers. For this purpose, approaches to improve the quality of the environment and the factors affecting it have triggered extensive theoretical and empirical stu...
متن کاملBayesian Econometrics Approach in Determining of Effecting Factors on Pollution in Developing Countries (based on Environmental Performance Index)
Emphasis on sustainable development and the need to protect the environment as well as the adverse effects of environmental pollution on the quality of life have made environmental protection one of the main concerns of economic policymakers. For this purpose, approaches to improve the quality of the environment and the factors affecting it have triggered extensive theoretical and empirical stu...
متن کاملForecasting Crude Oil prices Volatility and Value at Risk: Single and Switching Regime GARCH Models
Forecasting crude oil price volatility is an important issues in risk management. The historical course of oil price volatility indicates the existence of a cluster pattern. Therefore, GARCH models are used to model and more accurately predict oil price fluctuations. The purpose of this study is to identify the best GARCH model with the best performance in different time horizons. To achieve th...
متن کاملEstimating Stock Price in Energy Market Including Oil, Gas, and Coal: The Comparison of Linear and Non-Linear Two-State Markov Regime Switching Models
A common method to study the dynamic behavior of macroeconomic variables is using linear time series models; however, they are unable to explain nonlinear behavior of the series. Given the dependency between stock market and derivatives, the behavior of the underlying asset price can be modeled using Markov switching process properties and the economic regime significance. In this paper, a two-...
متن کاملBayesian Markov Regime-Switching Models for Cointegration
This paper introduces a Bayesian Markov regime-switching model that allows the cointegration relationship between two time series to be switched on and off over time. Unlike classical approaches for testing and modeling cointegration, the Bayesian Markov switching method allows for estimation of the regime-specific model parameters via Markov Chain Monte Carlo and generates more reliable estima...
متن کامل