Weighting considerations in the measurement and modelling of intra-industry trade

Milner, Chris

doi:10.1080/00036848800000043

Cited by 6 publications

(2 citation statements)

References 12 publications

(18 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…12 For a discussion about the categorical aggregation problem and trade imbalances, see e.g. Milner (1983), Milner (1988), Kol and Mennes (1989), Vona (1991), Nilsson (1997b), and Fontagné and Freudenberg (1997). 13 The conversion table from HS to NACE was obtained from Statistics Sweden.…”

Section: Discussionmentioning

confidence: 99%

“…21 We use DGIN in Table A4, and the results are similar to RGIN. 22 The "relevant" variables are; the absolute difference in GDP, the distance from partners' geographical centres (same calculation as in Nilsson, 1997a), and the average GDP per capita. The inclusion of these variables may lead to collinearity problems since the correlation between AVGDP (DGDPC) and absolute difference in GDP (average GDP per capita) is rather high.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Demand patterns and vertical intra-industry trade with special reference to North-South trade

Gullstrand¹

2002

The Journal of International Trade & Economic Development

View full text Add to dashboard Cite

Demand patterns have been considered important driving forces of intra-industry trade (IIT) ever since the emergence of IIT literature. The distribution of income within countries and per capita income differences between countries are regarded as major explanatory factors behind vertical IIT. This paper focuses on North-South trade, and we are particularly interested in the role of income distribution and per capita income as demand-side determinants of vertical IIT. We test hypotheses on differences in income distribution, differences in per capita income, and average market size in three different empirical approaches; an economy wide, a multiindustry, and a sector level approach. The results show evidence of the role of income distribution and per capita income, that there is an important interaction between these two variables, and that the average market size matters.5

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%