Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/71866
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dc.contributor.authorWiranya Puntoonen_US
dc.contributor.authorJirawan Suwannajaken_US
dc.contributor.authorWoraphon Yamakaen_US
dc.date.accessioned2021-01-27T04:16:53Z-
dc.date.available2021-01-27T04:16:53Z-
dc.date.issued2021-01-01en_US
dc.identifier.issn18609503en_US
dc.identifier.issn1860949Xen_US
dc.identifier.other2-s2.0-85096224361en_US
dc.identifier.other10.1007/978-3-030-48853-6_27en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85096224361&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/71866-
dc.description.abstract© 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG. This study aims to determine the effects of macroeconomic factors on trade openness. We use panel regression with heterogeneous time trends to explore the causal relationship between macroeconomic factors and trade openness. The analysis relies on a sample of 85 countries for the period 1990–2017. We segment the data set into three sub-panels according to per capita income classification that distinguishes countries as belonging to low-income, middle-income, and high-income groups. Various types of panel regression are also considered, and it is found that time fixed effects model is the best model for all income groups. The key finding of this study is that GDP per capita shows a decisive evidence for its positive effects on trade openness in all income groups.en_US
dc.subjectComputer Scienceen_US
dc.titleMacroeconomic Determinants of Trade Openness: Empirical Investigation of Low, Middle and High-Income Countriesen_US
dc.typeBook Seriesen_US
article.title.sourcetitleStudies in Computational Intelligenceen_US
article.volume898en_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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