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The structure of factor content predictions
Authors:Daniel Trefler  Susan Chun Zhu
Affiliation:
  • a Rotman School of Management and Department of Economics, University of Toronto, 105 St. George Street, Toronto, Ontario, M5S 3E6, Canada
  • b Canadian Institute for Advanced Research (CIFAR), 180 Dundas Street West, Suite 1400, Toronto, Ontario, M5G 1Z8, Canada
  • c NBER, 1050 Massachusetts Avenue, Cambrigde, MA, 02138-5398, USA
  • d Department of Economics, Michigan State University, Marshall-Adams Hall, East Lansing, MI, 48824, USA
  • Abstract:The last decade witnessed an explosion of research into the impact of international technology differences on the factor content of trade. Yet the literature has failed to confront two pivotal issues. First, with international technology differences and traded intermediate inputs, there is no existing definition of the factor content of trade that is compatible with Vanek's factor content prediction. We fill this gap. Second, as Helpman and Krugman (1985) showed, many models beyond Heckscher-Ohlin imply the Vanek prediction. Thus, absent a complete list of these models, we do not fully know what models are being tested when the Vanek prediction is tested. We completely characterize the class of models being tested by providing a familiar consumption similarity condition that is necessary and sufficient for a robust Vanek prediction. Finally, we reassess the performance of the prediction using the correct factor content definition and input-output tables for 41 countries. We find that the prediction performs well except for the presence of missing trade. Further, missing trade is not pervasive: it is associated entirely with ‘home bias’ in the consumption of agricultural goods, government services and construction.
    Keywords:Factor content of trade   Vanek prediction   International technology differences   Traded intermediates
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