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        Economic Integration in Latin America

        ( Hem C Basnet ),( Subhash C Sharma ) 세종대학교 경제통합연구소 2013 Journal of Economic Integration Vol.28 No.4

        This study examines the feasibility of economic integration in Latin America. We analyze the existence of the long-term and short-term common movements among key macro variables-real GDP, intra-regional trade, private investment and consumption-in the seven largest economies in Latin America-Argentina, Brazil, Chile, Colombia, Mexico, Peru and Venezuela. The joint behavior of the long term trends and the joint response to transitory shocks suggest a significant degree of economic synchronization among these countries. Our results reveal that the economic fluctuations in these countries follow a similar pattern in terms of duration, intensity, response, and timing both in the long run and in the short run. The findings suggest that the group of seven economies in Latin America can lead the path of integration in the region more smoothly as macroeconomic conditions are favorable for them to do so.

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        Workers’ Remittances and the Dutch Disease: Evidence From South Asian Countries

        Hem Chandra Basnet,Ficawoyi Donou-Adonsou,Kamal Upadhyaya 한국국제경제학회 2019 International Economic Journal Vol.33 No.4

        Large inflows of foreign money into a country can appreciate its domestic currency, which can adversely affect its current account balance. South Asian countries receive a significant amount of foreign currency as remittances. In this paper, we examine the Dutch disease effect of remittances in five South Asian countries, namely Bangladesh, India, Nepal, Pakistan and Sri Lanka using panel data from 1975 to 2014. Panel cointegration test provides evidence of the long-run relationship between remittances and the real exchange rate. The Fully Modified Ordinary Least Squares Method (FMOLS) is used to estimate the impact of remittances on real exchange rates. The findings suggest that remittances do appreciate the real exchange rate in South Asia. Pesaran, Shin, and Smith ([1999]. Pooled Mean Group Estimation of Dynamic Heterogeneous Panels. Journal of the American Statistical Association, 94, 621–634) Pool Mean Group (PMG) estimation technique is used to check the robustness of the findings. The PMG test results confirm the findings from the FMOLS.

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