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dc.contributor.authorHerzer, Dierken_US
dc.description.abstractThis paper makes two contributions to the literature on the impact of trade on income. First, we use heterogeneous panel cointegration techniques that are robust to omitted variables and endogenous regression to estimate the effect of trade on income for 81 developed and developing countries, both for the sample as a whole and for each individual country. Second, we use a general-to-specific variable selection approach to identify important determinants of the effect of trade on income. Our main finding s are: (i) A one percent increase in the trade share of GDP yields, on average, a statistically significant increase in income per worker of about 0.16 percent. This result is in contrast to previous studies, which tend to produce either unreasonably large or statistically insignificant estimates of the impact of the trade on income. (ii) There are large cross-country differences in the income effect of trade, in particular between developed and developing countries. For developed countries the income effect of trade is positive, whereas trade has, on average, a negative impact on income in developing countries. (iii) The cross-county heterogeneity in the impact of trade on income can be explained mainly by cross-county differences in primary export dependence, labour market regulation, and property rights protection. The level of property rights protection is positively related, while the level of primarily export dependence and labour market regulation is negatively related to the income effect of trade.en_US
dc.publisher|aVerein für Socialpolitik, Ausschuss für Entwicklungsländer |cGöttingenen_US
dc.relation.ispartofseries|aProceedings of the German Development Economics Conference, Frankfurt a.M. 2009 |x13en_US
dc.subject.keywordCross-country heterogeneityen_US
dc.subject.keywordPanel cointegrationen_US
dc.subject.keywordGeneral-to-specific approachen_US
dc.titleCross-country heterogeneity and the trade-income relationshipen_US
dc.typeConference Paperen_US

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