IDEAS home Printed from https://ideas.repec.org/p/rnp/wpaper/031828.html
   My bibliography  Save this paper

Diagnostics of Economic Growth in Russia
[Диагностика Экономического Роста В России]

Author

Listed:
  • Gvozdeva, Margarita (Гвоздева, Маргарита)

    (Russian Presidential Academy of National Economy and Public Administration (RANEPA))

  • Kazakova, Maria V. (Казакова, Мария)

    (Russian Presidential Academy of National Economy and Public Administration (RANEPA))

Abstract

The work uses the Rodrik-Hausman-Velasco-Klinger-Wagner approach to determine the sequence of reforms in the Russian economy. The approach was developed at Harvard University's Center for International Development and consists of consistently identifying the reasons for the lack of investment in the economy and insufficiently high rates of economic growth. The approach is characterized by a variety of methods used to answer questions about the causes of economic slowdown: from modern econometric and algebraic methods to interviews with experts. Similar plans for reform have already been created for a large number of developing countries, but such a plan has not been met for Russia. The creation of such a plan, in particular, will strengthen the argumentation in expert disputes about which reforms are needed in Russia in the first place, and what transformations or measures of state policy are premature and even counterproductive. Thus, the result of this work will be the identification of the most stringent restrictions that restrain economic growth and the drawing up of a sequence of reforms for the Russian economy.

Suggested Citation

  • Gvozdeva, Margarita (Гвоздева, Маргарита) & Kazakova, Maria V. (Казакова, Мария), 2018. "Diagnostics of Economic Growth in Russia [Диагностика Экономического Роста В России]," Working Papers 031828, Russian Presidential Academy of National Economy and Public Administration.
    • Handle: RePEc:rnp:wpaper:031828
    as

    Download full text from publisher

    File URL: https://repec.ranepa.ru/rnp/wpaper/031828.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Klaus Abbink & Bernd Irlenbusch & Elke Renner, 2002. "An Experimental Bribery Game," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 18(2), pages 428-454, October.
    2. Ricardo Hausmann & Bailey Klinger & Rodrigo Wagner, 2008. "Doing Growth Diagnostics in Practice: A 'Mindbook'," Growth Lab Working Papers 19, Harvard's Growth Lab.
    3. World Bank Group, 2014. "Turn Down the Heat : Confronting the New Climate Normal [Bajemos la temperatura : cómo hacer frente a la nueva realidad climática (Vol. 4)]," World Bank Publications - Books, The World Bank Group, number 20595.
    4. Yu. Danilov & O. Buklemishev & A. Abramov., 2017. "Urgency of financial markets’ and non-banking financial sector reform," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 9.
    5. R. Kapeliushnikov., 2017. "Is technological change a devourer of jobs?," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 11.
    6. Olivier Armantier & Amadou Boly, 2008. "Can Corruption Be Studied in the Lab? Comparing a Field and a Lab Experiment," CIRANO Working Papers 2008s-26, CIRANO.
    7. John Evans & Neil Allan & Neil Cantle, 2017. "A New Insight into the World Economic Forum Global Risks," Economic Papers, The Economic Society of Australia, vol. 36(2), pages 185-197, June.
    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. Murray, Cameron K. & Frijters, Paul & Vorster, Melissa, 2017. "The back-scratching game," Journal of Economic Behavior & Organization, Elsevier, vol. 142(C), pages 494-508.
    2. Saucedo Cepeda, Abraham, 2024. "An experimental study of auctioneers’ and bidders’ preferences over corruption in auctions," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 108(C).
    3. van Veldhuizen, R., 2013. "The influence of wages on public officials’ corruptibility: A laboratory investigation," Journal of Economic Psychology, Elsevier, vol. 39(C), pages 341-356.
    4. Luis Alejandro Palacio García & Daniel Felipe Parra Carreño, 2013. "Economía experimental: un panorama general," Revista Lebret, Universidad Santo Tomás - Bucaramanga, December.
    5. Murray, Cameron K. & Frijters, Paul & Vorster, Melissa, 2015. "Give and You Shall Receive: The Emergence of Welfare-Reducing Reciprocity," IZA Discussion Papers 9010, Institute of Labor Economics (IZA).
    6. Björn Frank & Johann Graf Lambsdorff & Frédéric Boehm, 2011. "Gender and Corruption: Lessons from Laboratory Corruption Experiments," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 23(1), pages 59-71, February.
    7. Hans J. Czap & Natalia V. Czap, 2019. "‘I Gave You More’: Discretionary Power in a Corruption Experiment," Journal of Interdisciplinary Economics, , vol. 32(2), pages 200-217, July.
    8. Giulia Mugellini & Sara Della Bella & Marco Colagrossi & Giang Ly Isenring & Martin Killias, 2021. "Public sector reforms and their impact on the level of corruption: A systematic review," Campbell Systematic Reviews, John Wiley & Sons, vol. 17(2), June.
    9. Menusch Khadjavi, 2018. "Deterrence works for criminals," European Journal of Law and Economics, Springer, vol. 46(1), pages 165-178, August.
    10. Elke Renner, 2004. "Wie lässt sich Korruption wirksam bekämpfen?: Empirische Befunde aus der experimentellen Wirtschaftsforschung," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 73(2), pages 292-300.
    11. Martin, Will, 2021. "Tools for measuring the full impacts of agricultural interventions," IFPRI-MCC technical papers 2, International Food Policy Research Institute (IFPRI).
    12. Vetter, Stefan, 2013. "Delegating decision rights for anticipated rewards as an alternative to corruption: An experiment," European Journal of Political Economy, Elsevier, vol. 31(C), pages 188-204.
    13. Simon G�chter & Ernst Fehr, "undated". "Fairness in the Labour Market � A Survey of Experimental Results," IEW - Working Papers 114, Institute for Empirical Research in Economics - University of Zurich.
    14. Shreyas Gadgin Matha & Patricio Goldstein & Jessie Lu, 2020. "Air Transportation and Regional Economic Development: A Case Study for the New Airport in South Albania," Growth Lab Working Papers 158, Harvard's Growth Lab.
    15. Dani Rodrik, 2010. "Diagnostics before Prescription," Journal of Economic Perspectives, American Economic Association, vol. 24(3), pages 33-44, Summer.
    16. Abbink, Klaus & Wu, Kevin, 2017. "Reward self-reporting to deter corruption: An experiment on mitigating collusive bribery," Journal of Economic Behavior & Organization, Elsevier, vol. 133(C), pages 256-272.
    17. World Bank, 2012. "Republic of Lebanon--Good Jobs Needed : The Role of Macro, Investment, Education, Labor and Social Protection Policies," World Bank Publications - Reports 13217, The World Bank Group.
    18. Simon Gaechter, 2006. "Conditional cooperation: Behavioral regularities from the lab and the field and their policy implications," Discussion Papers 2006-03, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    19. Jessica Leight & Rohini Pande & Laura Ralston, 2016. "Value for Money? Vote-Buying and Politician Accountability in the Laboratory," Department of Economics Working Papers 2016-15, Department of Economics, Williams College.
    20. Peiyao Shen & Regina Betz & Andreas Ortmann & Rukai Gong, 2020. "Improving Truthful Reporting of Polluting Firms by Rotating Inspectors: Experimental Evidence from a Bribery Game," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(2), pages 201-233, July.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:rnp:wpaper:031828. 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: RANEPA maintainer (email available below). General contact details of provider: https://edirc.repec.org/data/aneeeru.html .

    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.