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An Empirical Analysis of Growth Volatility: A Markov Chain Approach

In: New Tools of Economic Dynamics

Author

Listed:
  • Davide Fiaschi

    (University of Pisa)

  • Andrea Mario Lavezzi

    (University of Pisa)

Abstract

Summary This paper studies the determinants of growth rate volatility, focusing on the effect of level of GDP, structural change and the size of economy. First we provide a graphical analysis based on nonparametric techniques, then a quantitative analysis which follows the distribution dynamics approach. Growth volatility appears to (i) decrease with per capita GDP, (ii) increase with the share of the agricultural sector on GDP and, (iii) decrease with the size of the economy, measured by a combination of total GDP and trade openness. However, we show that the explanatory power of per capita GDP tends to vanish when we control for the size of the economy.

Suggested Citation

  • Davide Fiaschi & Andrea Mario Lavezzi, 2005. "An Empirical Analysis of Growth Volatility: A Markov Chain Approach," Lecture Notes in Economics and Mathematical Systems, in: Jacek Leskow & Lionello F. Punzo & Martín Puchet Anyul (ed.), New Tools of Economic Dynamics, chapter 18, pages 319-334, Springer.
    • Handle: RePEc:spr:lnechp:978-3-540-28444-4_18
    DOI: 10.1007/3-540-28444-3_18
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    Citations

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    Cited by:

    1. Davide fiaschi & Lisa Gianmoena & Angela Parenti, 2013. "The Determinants of Growth Rate Volatility in European Regions," Discussion Papers 2013/170, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    2. Irene Brunetti & Davide fiaschi & Lisa Gianmoena, 2013. "An Index of Growth Rate Volatility: Methodology and an Application to European Regions," Discussion Papers 2013/169, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    3. Thomas Bassetti & Nikos Benos & Stelios Karagiannis, 2013. "CO 2 Emissions and Income Dynamics: What Does the Global Evidence Tell Us?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 54(1), pages 101-125, January.
    4. Vincent GERONIMI & Natalia ZUGRAVU-SOILITA & Christine LE GARGASSON & Jessy TSANG KING SANG, 2015. "Le Tourisme Comme Facteur De Vulnérabilités ? Le Rôle Des Patrimoines Insulaires," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 42, pages 189-214.
    5. Siliang Guo & Yanhua Diao & Junliang Du, 2022. "Coupling Coordination Measurement and Evaluation of Urban Digitalization and Green Development in China," IJERPH, MDPI, vol. 19(22), pages 1-32, November.
    6. Spiliopoulos, Leonidas, 2010. "The determinants of macroeconomic volatility: A Bayesian model averaging approach," MPRA Paper 26832, University Library of Munich, Germany.
    7. Natalia Zugravu-Soilita & Vincent Geronimi & Christine Le Gargasson & Jessy Tsang King Sang, 2017. "Towards a less vulnerable and more sustainable development: heritage tourism in island economies," Working Papers 2017.11, FAERE - French Association of Environmental and Resource Economists.

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