IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v42y2010i28p3585-3596.html
   My bibliography  Save this article

Accounting for regional variance heterogeneity of growth

Author

Listed:
  • Jeffrey Alan Edwards
  • Ronald Gilbert
  • Juan Sherwell

Abstract

This article explores heterogeneous behaviour in the conditional variance of growth. We find that regional effects account for a good part of this behaviour when modelled alone; however, regional effects themselves have no particular meaning. To this end, we try to empirically account for the regional effects using a large set of economic, political and demographic variables. Our results indicate that countries with past high levels of both investment and inflation cause growth to be less volatile today. Countries that have a greater number of changes in heads of government tend to experience lower growth volatility except in parliamentary democracies where the relationship reverses. The greater the number of effective parties the lower the volatility for all regime types. More strikes have no effect on volatility except for presidential democracies where volatility actually increases, while more open economies that share presidential and legislative powers also have more volatile growth rates.

Suggested Citation

  • Jeffrey Alan Edwards & Ronald Gilbert & Juan Sherwell, 2010. "Accounting for regional variance heterogeneity of growth," Applied Economics, Taylor & Francis Journals, vol. 42(28), pages 3585-3596.
    • Handle: RePEc:taf:applec:v:42:y:2010:i:28:p:3585-3596
    DOI: 10.1080/00036840802260924
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/00036840802260924
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00036840802260924?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Spanos,Aris, 1999. "Probability Theory and Statistical Inference," Cambridge Books, Cambridge University Press, number 9780521424080.
    2. Garey Ramey & Valerie A. Ramey, 1991. "Technology Commitment and the Cost of Economic Fluctuations," NBER Working Papers 3755, National Bureau of Economic Research, Inc.
    3. Jeffrey Edwards & Benhua Yang, 2009. "An empirical refinement of the relationship between growth and volatility," Applied Economics, Taylor & Francis Journals, vol. 41(11), pages 1331-1343.
    4. Boris Pleskovic & Joseph E. Stiglitz, 2000. "Annual World Bank Conference on Development Economics 1999," World Bank Publications - Books, The World Bank Group, number 13839, December.
    5. Spanos,Aris, 1986. "Statistical Foundations of Econometric Modelling," Cambridge Books, Cambridge University Press, number 9780521269124.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ahamada, Ibrahim & Coulibaly, Dramane, 2011. "How does financial development influence the impact of remittances on growth volatility?," Economic Modelling, Elsevier, vol. 28(6), pages 2748-2760.
    2. McGuirk, Anya M. & Spanos, Aris, 2004. "Revisiting Error Autocorrelation Correction: Common Factor Restrictions And Granger Causality," 2004 Annual meeting, August 1-4, Denver, CO 20176, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Aris Spanos & Niki Papadopoulou, 2013. "A Small Macroeconometric Model for the Cyprus Economy," Working Papers 2013-02, Central Bank of Cyprus.
    4. Aris Spanos & David F. Hendry & J. James Reade, 2008. "Linear vs. Log‐linear Unit‐Root Specification: An Application of Mis‐specification Encompassing," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(s1), pages 829-847, December.
    5. Ghulam MOHEY-UD-DIN* & Muhammad Wasif SIDDIQI**, 2017. "GDP FLUCTUATIONS AND LONG-RUN ECONOMIC GROWTH: A Study of Selected South Asian Countries," Pakistan Journal of Applied Economics, Applied Economics Research Centre, vol. 27(1), pages 41-66.
    6. Spanos, Aris, 2010. "Akaike-type criteria and the reliability of inference: Model selection versus statistical model specification," Journal of Econometrics, Elsevier, vol. 158(2), pages 204-220, October.
    7. McGuirk, Anya M. & Spanos, Aris, 2002. "The Linear Regression Model With Autocorrelated Errors: Just Say No To Error Autocorrelation," 2002 Annual meeting, July 28-31, Long Beach, CA 19905, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    8. Aris Spanos & Niki Papadopoulou, 2013. "A Small Macroeconometric Model for the Cyprus Economy," Working Papers 2013-2, Central Bank of Cyprus.
    9. Aris Spanos, 2009. "Statistical Misspecification and the Reliability of Inference: The Simple T-Test in the Presence of Markov Dependence," Korean Economic Review, Korean Economic Association, vol. 25, pages 165-213.
    10. Jeffrey Edwards & Anya McGuirk, 2004. "Reply to Chang and Ram: Statistical Adequacy and the Reliability of Inference," Econ Journal Watch, Econ Journal Watch, vol. 1(2), pages 244-259, August.
    11. Jeffrey Edwards & Benhua Yang, 2009. "An empirical refinement of the relationship between growth and volatility," Applied Economics, Taylor & Francis Journals, vol. 41(11), pages 1331-1343.
    12. Genaro Sucarrat, 2010. "Econometric reduction theory and philosophy," Journal of Economic Methodology, Taylor & Francis Journals, vol. 17(1), pages 53-75.
    13. Aris Spanos, 2018. "Mis†Specification Testing In Retrospect," Journal of Economic Surveys, Wiley Blackwell, vol. 32(2), pages 541-577, April.
    14. Andreas Koutris & Maria Heracleous & Aris Spanos, 2008. "Testing for Nonstationarity Using Maximum Entropy Resampling: A Misspecification Testing Perspective," Econometric Reviews, Taylor & Francis Journals, vol. 27(4-6), pages 363-384.
    15. Anya McGuirk & Aris Spanos, 2009. "Revisiting Error‐Autocorrelation Correction: Common Factor Restrictions and Granger Non‐Causality," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(2), pages 273-294, April.
    16. Aris Spanos, 2006. "Revisiting the omitted variables argument: Substantive vs. statistical adequacy," Journal of Economic Methodology, Taylor & Francis Journals, vol. 13(2), pages 179-218.
    17. Maria Heracleous & Andreas Koutris & Aris Spanos, 2006. "Testing for Structural Breaks and other forms of Non-stationarity: a Misspecification Perspective," Computing in Economics and Finance 2006 493, Society for Computational Economics.
    18. Michel Baroni & Fabrice Barthélémy & Mahdi Mokrane, 2011. "A repeat sales index robust to small datasets," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 29(1), pages 35-48, February.
    19. Bierens, H.J. & Broersma, L., 1991. "The relation between unemployment and interest rate : some international evidence," Serie Research Memoranda 0112, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    20. Portes, Richard & Santorum, Anita, 1987. "Money and the consumption goods market in China," Journal of Comparative Economics, Elsevier, vol. 11(3), pages 354-371, September.

    More about this item

    Statistics

    Access and download statistics

    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:taf:applec:v:42:y:2010:i:28:p:3585-3596. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.