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Measurement matters – A meta-study of the determinants of corporate capital structure

Author

Listed:
  • M. Hang

    (UNIA - University of Augsburg)

  • J. Geyer-Klingeberg

    (UNIA - University of Augsburg)

  • W. Rathgeber

    (UNIA - University of Augsburg)

  • Stefan Stöckl

    (ICN Business School, CEREFIGE - Centre Européen de Recherche en Economie Financière et Gestion des Entreprises - UL - Université de Lorraine)

Abstract

This study aggregates the mixed empirical evidence of the seven most commonly investigated determinants of corporate capital structure. We apply meta-regression analysis on a data set of 3,890 reported results, manually collected from 100 primary studies. Our results reveal that − in descending order of importance − tangible assets (positive sign), market-to-book ratio (negative sign), and profitability (negative sign) are significant determinants of corporate debt level. In addition, we find evidence for publication selection bias in academic literature. Accordingly, specific results are systematically overrepresented, as authors prefer reporting statistically significant estimates in line with theory or existing empirical results. Significant determinants, as well as publication selection bias, are more pronounced for characteristics like market-based measures of capital structure, total debt measures of capital structure, and for top articles in highly renowned journals, compared to book-based measures of capital structure or long-term debt measures of capital structure or randomly selected articles including more unknown and unpublished studies.

Suggested Citation

  • M. Hang & J. Geyer-Klingeberg & W. Rathgeber & Stefan Stöckl, 2018. "Measurement matters – A meta-study of the determinants of corporate capital structure," Post-Print hal-01809956, HAL.
  • Handle: RePEc:hal:journl:hal-01809956
    DOI: 10.1016/j.qref.2017.11.011
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    More about this item

    Keywords

    Capital structure; Meta-regression analysis; Publication selection bias; Heterogeneity;
    All these keywords.

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • F21 - International Economics - - International Factor Movements and International Business - - - International Investment; Long-Term Capital Movements
    • G31 - Financial Economics - - Corporate Finance and Governance - - - Capital Budgeting; Fixed Investment and Inventory Studies

    Statistics

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