Over last few decades, there has been a growing interest among researchers in understanding the link between trade liberalization and regional disparities within the context of an individual country. In this study, we develop the first ever single-country multiregional Computable General Equilibrium (CGE) model for the Indian economy to investigate this linkage. Overall our results suggest that, in the short run, trade liberalization has a beneficial impact on the rich and fast-growing middle-income states and a marginal or negative impact on the poor states.Griffith Business School, Department of Accounting, Finance and EconomicsNo Full Tex

This article contains the data related to the research article "Long-term forecast of energy commodities price using machine learning" (Herrera et al., 2019). The datasets contain monthly prices of six main energy commodities covering a large period of nearly four decades. Four methods are applied, i.e. a hybridization of traditional econometric models, artificial neural networks, random forests, and the no-change method. Data is divided into 80-20% ratio for training and test respectively and RMSE, MAPE, and M-DM test used for performance evaluation. Other methods can be applied to the dataset and used as a benchmark.