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Multidimensional Sorting: Comparative Statics

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  • Job Boerma
  • Andrea Ottolini
  • Aleh Tsyvinski

Abstract

Characterizing multidimensional sorting problems is notoriously difficult - solutions are known only for a small number of examples. Our main results completely characterize the comparative statics of sorting and earnings with respect to technological change for a general class of multidimensional assignment models. We show that symmetric technological change passes fully into worker earnings, while antisymmetric change results only in reallocation. In general, both margins adjust, with relative importance governed by the complementarity between workers and jobs and their distributions. To quantitatively illustrate our theory, we quantify responses in sorting and earnings to cognitive skill-biased technological change for U.S. data.

Suggested Citation

  • Job Boerma & Andrea Ottolini & Aleh Tsyvinski, 2025. "Multidimensional Sorting: Comparative Statics," Papers 2512.10853, arXiv.org, revised Aug 2026.
    • Handle: RePEc:arx:papers:2512.10853
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    File URL: https://arxiv.org/pdf/2512.10853
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