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Can we measure banking sector competition robustly?

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  • Andrei Dubovik
  • Natasha Kalara

Abstract

We discuss existing measures of banking competition along with their advantages and disadvantages. For the Panzar and Rosse H-statistic,we further investigate the robustness of its estimates. Specifically, we consider how the estimates vary with respect to modelling and data choices along the following dimensions: 1) bank types 2)consolidation codes 3)time periods 4) outliers 5)econometric models We construct a robust H-statistic estimate following a modified DerSimonian and Laird procedure. We find that no robust conclusions can be drawn regarding the relative competitiveness of the banking industries in European countries, nor regarding the development of the aggregate level of competition in Europe over the past twenty years. This finding illustrates why there is little consensus about the H-statistic estimates despite numerous publications on the topic. Additionally, we check which dimensions are most important in driving the differences between the estimates and find that the choice of model specification plays the largest role.

Suggested Citation

  • Andrei Dubovik & Natasha Kalara, 2018. "Can we measure banking sector competition robustly?," CPB Discussion Paper 386, CPB Netherlands Bureau for Economic Policy Analysis.
    • Handle: RePEc:cpb:discus:386
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    1. van Leuvensteijn, Michiel & Huljak, Ivan & de Bondt, Gabe, 2024. "A new measure of firm-level competition: an application to euro area banks," Working Paper Series 2925, European Central Bank.

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    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • L80 - Industrial Organization - - Industry Studies: Services - - - General

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