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General Determinants of Financial Development

In: Determinants of Financial Development

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  • Yongfu Huang

    (University of Cambridge)

Abstract

This chapter attempts to examine systematically the factors that might account for cross-country differences in financial development. It employs two modern quantitative methods, Bayesian Model Averaging (BMA) and General-to-specific (Gets) approaches, to gauge the robustness of a selection of possible determinants of financial development. Special emphasis has been placed on the contributions that institutions, policy and geography may have in developing financial markets.

Suggested Citation

  • Yongfu Huang, 2011. "General Determinants of Financial Development," Palgrave Macmillan Books, in: Determinants of Financial Development, chapter 2, pages 10-63, Palgrave Macmillan.
    • Handle: RePEc:pal:palchp:978-0-230-30249-5_2
    DOI: 10.1057/9780230302495_2
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    Cited by:

    1. Roman Horvath & Eva Horvatova & Maria Siranova, 2017. "Financial Development, Rule of Law and Wealth Inequality: Bayesian Model Averaging Evidence," Working Papers 368, Leibniz Institut für Ost- und Südosteuropaforschung (Institute for East and Southeast European Studies).
    2. Emmanuel Amissah & Katarzyna Świerczyńska, 2021. "Is Religion a Determinant of Financial Development?," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 27(3), pages 233-247, August.
    3. Roseline Nyakerario Misati & Anne Kamau & Hared Nassir, 2019. "Do migrant remittances matter for financial development in Kenya?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-25, December.
    4. Dosso, David, 2023. "Institutional Quality and Financial Development in Resource-Rich Countries: A Nonlinear Panel Data Approach," International Economics, Elsevier, vol. 174(C), pages 113-137.
    5. Saganga Mussa Kapaya, 2024. "Financial development in Africa: Do expenditure and population matter? Evidence through pooled mean group and generalized method of moments estimators," Journal of International Development, John Wiley & Sons, Ltd., vol. 36(1), pages 728-750, January.

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