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              <text>Revisiting the trade opennessunemployment nexus: anapplication of the novel JKS panel causality test with static anddynamic panel models</text>
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              <text>Interaction terms; JKS panel causality test; Panel analysis; Trade openness; Unemployment</text>
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              <text>Purpose: This paper documents a robust empirical regularity: higher trade openness is associated with a lower unemployment rate. This paper also examines whether or not the effects of trade liberalisation depend on countries' income levels. Further, the dynamic causation between trade openness and unemployment is also examined. Design/methodology/approach: In order to obtain insight into the opennessunemployment nexus, following empirical methods were utilised - static panel models, dynamic panel models and a novel panel Granger causality approach proposed by Juodis etal. (2021). Findings: Results suggest that openness negatively affects unemployment; the extent to which trade liberalisation affects unemployment depends on the income level of each country. The Juodis, Karavias, and Sarafidis (JKS) test confirmed that the past values of trade openness, inflation, foreign direct investment and gross domestic product per capita contain information that helps to predict unemployment in a more robust manner. To simply put, opening upto trade may eventually become a requirement for creating more job opportunities, but this alone may not be enough. The extent to which nations benefit from trade liberalisation is largely dependent on the overall economic conditions and their capability to move up the income scale. Originality/value: A major difference between this study and those performed previously is that this study does not only examine the impact of trade openness on unemployment, but also investigates whether the unemployment effect of liberalisation is affected by countries' income levels  an issue that has received little attention in the past. Additionally, the unique panel non-causality approach put forth by Juodis etal. (2021) is used in the first instance to look into the causal link between trade openness and unemployment. This method has advantages in that the method enables capturing Granger-causality in homogeneous or heterogeneous panels amongst multiple variables.  2023, Emerald Publishing Limited.</text>
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              <text>Bhat M.A.; Beg M.N.</text>
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              <text>Journal of Economic Studies, Vol-50, No. 8, pp. 1889-1907.</text>
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              <text>Emerald Publishing</text>
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              <text>2023-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1108/JES-09-2022-0479" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1108/JES-09-2022-0479&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153352577&amp;amp;doi=10.1108%2FJES-09-2022-0479&amp;amp;partnerID=40&amp;amp;md5=6caf300ed32491f68ac8dfc2eea49022" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153352577&amp;amp;doi=10.1108%2fJES-09-2022-0479&amp;amp;partnerID=40&amp;amp;md5=6caf300ed32491f68ac8dfc2eea49022&lt;/a&gt;</text>
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              <text>ISSN: 1443585</text>
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              <text>Bhat M.A., Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus, Lavasa, India; Beg M.N., GDC, Kokernag, Srinagar, India</text>
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