In this paper we discuss three important econometric problems with the estimation of Environmental Kuznets Curves, which we exemplify with the particular example of the Carbon Kuznets Curve (CKC). The Carbon Kuznets hypothesis postulates an inverse U–shaped relationship between per capita GDP and per capita CO2 emissions. All three problems occur in the presence of unit root nonstationary regre...

The concept of cointegration is widely used in applied non-stationary time series analysis to describe the co-movement of data measured over time. In this paper, we proposed a Bayesian model for cointegration test and analysis, based on the dynamic latent factor framework. Efficient computational algorithms are also developed based on Markov Chain Monte Carlo (MCMC). Performance and efficiency ...

The role of the financial sector in the UK economy: evidence from a seasonal cointegration analysis Sami Fethi & Salih Katircioglu To cite this article: Sami Fethi & Salih Katircioglu (2015) The role of the financial sector in the UK economy: evidence from a seasonal cointegration analysis, Economic Research-Ekonomska Istraživanja, 28:1, 717-737, DOI: 10.1080/1331677X.2015.1084476 To link to th...

We re-examine Sephton and Larsen's (1991) conclusion that cointegration-based tests for market efficiency suffer from temporal instability. We improve upon their research by i) including a drift term in the vector error correction model (VECM) in the Johansen procedure, ii) correcting the likelihood ratio test statistic for finitesample bias, and iii) fitting the model over longer data sets. We...

This paper provides a review of the literature on unit roots and cointegration in panels where the time dimension (T ), and the cross section dimension (N) are relatively large. It distinguishes between the …rst generation tests developed on the assumption of the cross section independence, and the second generation tests that allow, in a variety of forms and degrees, the dependence that might ...

Two versions of a fractionally cointegrating vector error correction model (FVECM) are presented. In the case of regular cointegration, linear combinations of fractionally integrated variables are integrated to lower order. Generalized cointegration is de…ned as the case where the cointegrating variables may be fractional di¤erences of the observed series. The concepts are applied to a model of...