NSU Research Contributions
Title : Pooled Mean Group Estimation of the Bilateral Inpayments and Outpayments for Bangladesh vis-à-vis Major Trading Partners
Authors : Gour Goswami, Kazi Ahmed
| Journal Title: ICFAI Journal of Applied Econometrics | Volume Number: 9 | Publication Year : 2010 | Issue Number: 1 |
| Index: indexed | Ranking: No Ranking | ISSN: 0972-6861 | Publisher Name: IUP |
| Pages : 27-39 | |||
| Funding Source : None |
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Direct Sustainable Development Goals : SDG9 Industry, Innovation & Infrastructure |
Indirect Sustainable Development Goals : SDG9 Industry, Innovation & Infrastructure |
Sustainable Development Sub Goals : Promote inclusive and sustainable industrialization |
| Impact statement: In addressing the issue of short-run heterogeneity and long-run homogeneity of the estimated coefficients in a panel framework, the Pooled Mean Group (PMG) estimator (Pesaran et al., 1999) has recently gained popularity in applied research in economics and business. This estimation method has been used successfully in the context of bilateral trade balance estimation for the US with its major trading partners (Goswami and Junayed, 2006), and in another context, the bilateral exports and imports model has been extended by modeling bilateral inpayments and outpayments separately for Japan and its major trading partners (Bahmani-Oskooee and Goswami, 2004) by using the Autoregressive Distributed Lag (ARDL) approach to cointegration on a partner-by-partner basis. The major limitations of this kind of bilateral model are low power and the resulting incorrect signs and insignificant estimated coefficients. | Collaboration: Partner University | Keywords: Bangladesh, PMG, Trade Balance |
