Meeting 4 - Stolper - Samuelson theorem (International Economics)
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Oct 04, 2017
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About This Presentation
International economics subject
For undergraduate students (semester 3)
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Language: en
Added: Oct 04, 2017
Slides: 16 pages
Slide Content
The Stolper-Samuelson theorem SS Meeting 4
SS theorem: intro A fall in the relative price of a good will lead to a fall in the return to the factor used most intensively in production of the good, and conversely, to a rise in the return to the other factor ↓P good1 → ↓Return factor1 (used for good1) → ↑Return factor2 (used for good2)
SS is based on neoclassical assumptions: a world of very few produced goods perfect competition between and within countries complete factor mobility within countries (but no mobility between countries) no transport costs and tradability of all goods
Application to labour In a model with two factors, say skilled and unskilled labour , as countries reduce trade barriers, the relative prices of skill-intensive goods will rise in skill-rich countries , and fall in skill-poor countries . As this happens, SS predict a rise in skilled wages and a fall in unskilled wages in the skill-rich countries .
Blue collar workers are less likely to bargain on wages compared to skilled workers. White collar workers have a higher bargaining power than workers with lower skills. Developed country aka advanced Skill-rich country Developing country Skill-poor country Prices of Skill intensive good ↑ ↓ Skilled wage ↑ Unskilled wage ↓ Wage inequality
The Stolper-Samuelson theorem Uses the Heckscher-Ohlin model to predict strong links between changing trade prices and wage inequalities States that increased trade with developing countries has probably played some part in the widening wage inequalities Supports the idea that increasing trade with developing countries has been a major cause of the increasing inequality in certain advanced countries (notably the USA and UK) since 1979
The implications of this model are disturbing for advanced countries The current globalisation tendency can be seen as an opening up to increased trade between the skill-rich advanced countries and developing countries . While the H-O theory predicts this would benefit GNP in both advanced and developing countries, in the former this would be at the expense of falling unskilled wages and increasing inequality.
Benefits from trade Developing countries Developed countries HO + + SS + - (because of wage inequality)
How to mitigate wage inequalities Contrary to what Stolper-Samuelson might suggest, governments have considerable power to mitigate rising wage differentials by use of education and training policy to increase workforce skills But, Stolper-Samuelson doubts on the popular policy response: to improve education and training
the dependence of prices of factors of production on prices of goods w – wage (related to labour) r – rent of land (related to land) Say that the price of cloth (Pc) equals 10, while the price of food ( Pf ) equals 4 10 = Pc (cloth) = marginal costs = 10w + 5r (input coefficients x labour and land costs) 4 = Pf (food) = marginal costs = 2w + 4r This produces two equations in two unknowns. We can graph this and solve for w and r 10w+5r= 10 2w+4r=4
What happens if the price of cloth falls? We show this as an inward shift of the price of cloth (see the doted line). 10w+5r= 8 2w+4r=4
Case 1: Pc = 10 r1 = ? w1 = ? Case 2: Pc = 8 r2 = ? w2 = ? Δ Pc - ? Land Δ r - ? r1 ˂ ? ˃ r2 (↑ ? ↓) Labour Δ w - ? w1 ˂ ? ˃ w2 (↑ ? ↓)
You should get that r = 4/5 and w = 2/5 , proving that wages fall and the return to land rises. Then at the new intersection, w is much lower and the return to land actually rises. W falls by more than Pc falls . So there is "magnification effect" of the international price decline on the factor used intensively to produce the good. Not ALL factors gain from trade . You can test it by allowing Pc to fall to 8 and recalculating the equilibrium. So Labour ↓, Land ↑ (because we changed the wage price)
Conclusion P good1 → ↓ P factor 1 → ↑P factor 2 factor 1 – labour factor 2 – land