Myanmar has, in recent years, strengthened its focus on human capital as a development pillar, and introduced legislation adopted conventions child labour. But exploitation continues, including use of forced labour by the military children performing hazardous work. Moreover, faces rapidly closing window opportunity within which to train workforce meet future challenges declining population gro...

Abstract Baseline assumptions play a crucial role in conducting consistent quantitative policy assessments for dynamic Computable General Equilibrium (CGE) models. Two essential factors that influence the determination of baselines are data sources projections and applied calibration methods. We propose general, Bayesian approach can be employed to build baseline any recursive-dynamic CGE model...

Climate change mitigation faces two main policy challenges: the need for global cooperation to tackle collective action problem and share burden of carbon pricing fair way following principle common but differentiated responsibility (CBRD). In this paper we explore best ways incentivize regions reduce their CO2 emissions while minimizing welfare losses low-income countries using simulations wit...

Economic impact analysis using inter-industry models provides a method to evaluate the effects of a project or proposed policy change. This paper briefly summarises the applicability, structure and limitations of three techniques frequently used in economic impact analysis: • using simple Input-Output analysis (I-O); • Input-Output Econometric modelling (IOE); and • Computable General Equilibri...

â â â â  â  abstract â  most debates about the role of tariff cuts on the level of employment and rate of wages in labor market have come out of well-known hecscher – ohlin and stopler – samuelson (hos) theorems. considering the fact that we have divided the workforce into skilled and unskilled labors the present paper assesses the impacts of tariff cuts on labor market indicators in iran. ...

We discuss how to avoid aggregation bias in large-scale global Computable General Equilibrium (CGE) models by reducing the need of pre-model aggregation, based on the combination of algorithmic improvements and a filtering approach which removes small transactions. Using large-scale sensitivity analysis, we show the impact of pre-aggregation and filtering on model size, model solution time and ...

We study the problem of measuring the uncertainty of computable general equilibrium (CGE) (or RBC)-type model simulations associated with parameter uncertainty. We describe two approaches for building conŽ dence sets on model endogenous variables. The Ž rst uses a standard Wald-type statistic. The second approach assumes that a conŽ dence set (sampling or Baycsian) is available for the free par...

Environmental problems are one of the most challenging issues for the entire world and each country. In economic studies, environmental issues are analyzed as negative externalities. In this article, the negative externalities of electricity production on the output growth of different sectors and household’s welfare in Iran’s economy have been studied through price system using Computable Gene...

The direct association between air pollution and morbidity and mortality rates has been proved. This major environmental risk factor has been mainly due to extensive use of fossil fuels. Increasing pollution caused by fossil fuels can threaten human health. This study simulated the effect of green taxes on Iran’s health indicators, i.e., mortality and morbidity. We used a Computable General Equ...