This paper analyzes the identification question in censored panel data models, where the censoring can depend on both observable and unobservable variables in arbitrary ways. Under some general conditions, we derive the tightest sets on the parameter of interest. These sets (which can be...

We use a panel data set of 193 countries over 1990-2017 period, by employ the Seemingly unrelated regression (SUR), three stage least squares regression (3SLS), dynamic model two-step generalized method of moments and two-step system generalized method of moments approach to investigate the...

Climate change induced by the growth of carbon dioxide emissions has become a global concern. Therefore, it's necessary to pinpoint the factors thatdrive carbon emissions to provide suitable mitigation policies. This study uses Taipo Decoupling Index and Log MeanDivisa Index (LMDI) decomposition...