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Persistence in firm growth: inference from conditional quantile transition matrices

Author

Listed:
  • Giulio Bottazzi

    (Scuola Superiore Sant’Anna)

  • Taewon Kang

    (Scuola Superiore Sant’Anna
    Chungnam National University)

  • Federico Tamagni

    (Scuola Superiore Sant’Anna)

Abstract

We introduce a new methodology to investigate the degree of persistence in firm growth dynamics, based on Conditional Quantile Transition Probability Matrices (CQTPMs) and exact inferential tests derived from two well-known mobility indexes. We apply the methodology to study manufacturing firms in the UK and four major European economies over the period 2010–2017. We find that CQTPMs display more persistence than under a fully independent firm growth process, albeit considerable turbulence and significant bouncing effects are detected. Exploiting the inferential statistics within a regression framework, we show that productivity, openness to trade, and business dynamism are the primary sources of firm growth persistence across sectors, while country-specific and time-specific factors play a second-order role.

Suggested Citation

  • Giulio Bottazzi & Taewon Kang & Federico Tamagni, 2023. "Persistence in firm growth: inference from conditional quantile transition matrices," Small Business Economics, Springer, vol. 61(2), pages 745-770, August.
  • Handle: RePEc:kap:sbusec:v:61:y:2023:i:2:d:10.1007_s11187-022-00700-y
    DOI: 10.1007/s11187-022-00700-y
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    More about this item

    Keywords

    Firm growth persistence; Transition matrices; Mobility indexes; Non-parametric statistics;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance

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