in the present time, phenomenon like globalization, regionalism and economic integration are the basic issues which bring many positive consequences to the world economy. regionalism and economic integration are one of the ways that developing countries can adopt to collate the globalization process. to acknowledge their own abilities or, to settle the commercial and economic disputes in their ...

forecasting of macroeconomic variables has specific importance in economic topics. indeed, different models are invented to forecast variables to help economic policy makers in adopting appropriate monetary and fiscal policies. in this paper, the performance of integrated model of input-output (io) and neural network is investigated in forecasting final demand and total production and the resul...

In recent decades, there has been a growing literature dealing with the empirical estimation of rate profit and other Marxian variables in several countries. Nonetheless, paucity econometric research about impact those on growth developing This article seeks to evaluate accumulation as determinants Colombia during 1967–2019, using generalized vector autoregressive model. We find that both are s...

Currently, the Thailand government is promoting biofuel, especially producer of biodiesel. Starting from 2015, Ministry Energy has determined that palm oil remaining domestic consumption 14 million liters per day in 2036. Forecasting biodiesel prices are most important since price volatility affects renewable energy future. This paper presents with time series decomposition method. The source d...

Factor models are widely used in summarizing large datasets with few underlying latent factors and in building time series forecasting models for economic variables. In these models, the reduction of the predictors and the modeling and forecasting of the response y are carried out in two separate and independent phases. We introduce a potentially more attractive alternative, Sufficient Dimensio...

A central question in human development is what causes health inequalities over the life cycle. We link a harsh environment in the teen years to individuals’ health conditions almost 40 years later, and employ Regression Discontinuity Design to make a causal inference between adolescent adversity and long-term health. Specifically, we exploit the mandatory “send-down” policy during China’s Cult...

We explore the finite sample properties of several semiparametric estimators of average treatment effects, including propensity score reweighting, matching, double robust, and control function estimators. When there is good overlap in the distribution of propensity scores for treatment and control units, reweighting estimators are preferred on bias grounds and attain the semiparametric efficien...