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Two-mode clustering through profiles of regions and sectors

Author

Listed:
  • Haedo, Christian
  • Mouchart , Michel

    (Université catholique de Louvain, LIDAM/ISBA, Belgium)

Abstract

This paper is concerned with simultaneously regrouping regions and sectors when analyzing the relative sectorial specialization of regions and the relative regional concentration of sectors. An automatic two-mode clustering algorithm is proposed with a view toward a concept of overall localization, corresponding to a discrepancy between an actual two-way contingency table (regions × sectors) and an hypothetical table reflecting independence between regions and sectors. This procedure identifies similar regions (respectively sectors) according to the relative sectorial (respectively regional) structure. This algorithm significantly reduces the size of the original table and obtain an optimal collapsed table with low level of information loss vis-à-vis the degree of overall localization. The properties and results of the algorithm are discussed through two applications, namely Argentina and Brazil.

Suggested Citation

  • Haedo, Christian & Mouchart , Michel, 2021. "Two-mode clustering through profiles of regions and sectors," LIDAM Reprints ISBA 2022015, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    • Handle: RePEc:aiz:louvar:2022015
    DOI: https://doi.org/10.1007/s00181-022-02201-z
    Note: In: Empirical Economics, 2022
    as

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