IDEAS home Printed from https://ideas.repec.org/h/spr/lnechp/978-3-540-28444-4_18.html
   My bibliography  Save this book chapter

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
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Spiliopoulos, Leonidas, 2010. "The determinants of macroeconomic volatility: A Bayesian model averaging approach," MPRA Paper 26832, University Library of Munich, Germany.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:lnechp:978-3-540-28444-4_18. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.