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Finance, growth and quantile parameter heterogeneity

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  • Andini, Monica
  • Andini, Corrado

Abstract

This paper argues that the effect of a financial stimulus on growth can vary along quantiles of the conditional growth distribution. We support this argument by presenting a theoretical finance–growth model, mainly inspired by Pagano (1993) and Canarella and Pollard (2004), where quantile parameter heterogeneity plays a role. In addition, controlling for a set of observed country characteristics and for all time-invariant characteristics, through the panel dataset of Levine et al. (2000), we present evidence that countries in the upper tail of the conditional growth distribution react more than countries in the lower tail to the same financial stimulus.

Suggested Citation

  • Andini, Monica & Andini, Corrado, 2014. "Finance, growth and quantile parameter heterogeneity," Journal of Macroeconomics, Elsevier, vol. 40(C), pages 308-322.
    • Handle: RePEc:eee:jmacro:v:40:y:2014:i:c:p:308-322
    DOI: 10.1016/j.jmacro.2014.01.008
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    6. Mekki Hamdaoui & Samir Maktouf, 2019. "Overall effects of financial liberalization: financial crisis versus economic growth," International Review of Applied Economics, Taylor & Francis Journals, vol. 33(4), pages 568-595, July.
    7. Durusu-Ciftci, Dilek & Ispir, M. Serdar & Yetkiner, Hakan, 2017. "Financial development and economic growth: Some theory and more evidence," Journal of Policy Modeling, Elsevier, vol. 39(2), pages 290-306.
    8. Aida Caldera Sánchez & Oliver Röhn, 2016. "How do policies influence GDP tail risks?," OECD Economics Department Working Papers 1339, OECD Publishing.
    9. Bitar, Mohammad & Pukthuanthong, Kuntara & Walker, Thomas, 2020. "Efficiency in Islamic vs. conventional banking: The role of capital and liquidity," Global Finance Journal, Elsevier, vol. 46(C).
    10. Galina Besstremyannaya & Sergei Golovan, 2019. "Reconsideration of a simple approach to quantile regression for panel data: a comment on the Canay (2011) fixed effects estimator," Working Papers w0249, Center for Economic and Financial Research (CEFIR).
    11. Andini, Corrado & Andini, Monica, 2015. "A Note on Unemployment Persistence and Quantile Parameter Heterogeneity," IZA Discussion Papers 8819, Institute of Labor Economics (IZA).
    12. Xue, Xinhong & Wang, Zhongcheng, 2021. "Impact of finance pressure on energy intensity: Evidence from China’s manufacturing sectors," Energy, Elsevier, vol. 226(C).
    13. Agne Setikiene & Mindaugas Butkus, 2021. "The Heterogeneous Impact of Financialisation on Economic Growth in the Long Run," JRFM, MDPI, vol. 14(5), pages 1-30, May.
    14. Nahid Farnaz, 2023. "Does Financial Development Relieve or Exacerbate Income Inequality? A Quantile Regression Approach," Economics Discussion Paper Series 2311, Economics, The University of Manchester.
    15. Galina Besstremyannaya & Sergei Golovan, 2019. "Reconsideration of a simple approach to quantile regression for panel data: a comment on the Canay (2011) fixed effects estimator," Working Papers w0249, New Economic School (NES).

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    More about this item

    Keywords

    Financial development; Economic growth; Quantile regression; Panel data;
    All these keywords.

    JEL classification:

    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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