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Mismatch and Aggregate Productivity

Author

Listed:
  • Ping Wang

    (Washington University in St. Louis)

  • Chong Yip

    (Chinese University of Hong Kong)

  • Russell Wong

    (Federal Reserve Bank of Richmond)

Abstract

Income disparity across countries has been large and widening over time. This paper develops a tractable model where factor requirements in production technology do not necessarily match a country's profile of factor endowments. Assimilation balances this multi-dimensional endowment-technology mismatch and reduces the efficiency loss. New measures to the TFP and relative factor disadvantage are derived. The model can generate a novel trade-off between income level and income growth, depending on the assimilation ability and the relative factor endowment differences of the country. With the endowment-technology mismatch, our assimilation model accounts for 80%-98% of the global income variation over the past 50 years. The widening of mismatch accounts for 40%-60% of the global growth variation, whereas capital and human capital account for about one third and zero. Approximately 30% of the growth performance in miracle Asian economies can be attributed to successful assimilation which narrows the mismatch, whereas almost 70% of growth stagnation in trapped African economies is due to the lack of assimilation which widens it. A country can fall into a middle-income trap after a reversal in the mismatch.

Suggested Citation

  • Ping Wang & Chong Yip & Russell Wong, 2018. "Mismatch and Aggregate Productivity," 2018 Meeting Papers 347, Society for Economic Dynamics.
  • Handle: RePEc:red:sed018:347
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