
handle: 10230/1248
This paper integrates in a unified and tractable framework some of the key insights of the field of international trade and economic growth. It examines a sequence of theoretical models that share a common description of technology and preferences but differ on their assumptions about trade frictions. By comparing the predictions of these models against each other, it is possible to identify a variety of channels through which trade affects the evolution of world income and its geographical distribution. By comparing the predictions of these models against the data, it is also possible to construct coherent explanations of income differences and long-run trends in economic growth.
Economic growth, international trade, globalization, economic growth, international trade, globalization, international trade, economic growth, Macroeconomics and International Economics, globalization, jel: jel:F10, jel: jel:F43, jel: jel:F40, jel: jel:O41, jel: jel:F15, jel: jel:O11
Economic growth, international trade, globalization, economic growth, international trade, globalization, international trade, economic growth, Macroeconomics and International Economics, globalization, jel: jel:F10, jel: jel:F43, jel: jel:F40, jel: jel:O41, jel: jel:F15, jel: jel:O11
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 25 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
