IDEAS home Printed from https://ideas.repec.org/p/wdi/papers/2015-1089.html
   My bibliography  Save this paper

Banking Sector Development and Household Saving in Emerging Eastern Europe

Author

Listed:
  • Ramiz Rahmanov

Abstract

This article examines the impact of the banking sector development on households??? saving dynamics in the emerging economies of Eastern Europe. For this purpose, we use the mean group FMOLS estimator to estimate the saving function augmented with variables characterizing three dimensions of the banking sector development ??? depth, efficiency, and stability. The mean group results show that an increase in the depth and stability of the banking sector significantly stimulates saving, whereas an improvement in the efficiency has no significant effect on saving. Additionally, we find that an increase in the real GDP per capita and age dependency ratio significantly and positively affects saving, while an increase in the real interest rate has a significantly negative effect on saving.

Suggested Citation

  • Ramiz Rahmanov, 2015. "Banking Sector Development and Household Saving in Emerging Eastern Europe," William Davidson Institute Working Papers Series wp1089, William Davidson Institute at the University of Michigan.
    • Handle: RePEc:wdi:papers:2015-1089
    as

    Download full text from publisher

    File URL: http://deepblue.lib.umich.edu/bitstream/2027.42/132989/1/wp1089.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Abdur R Chowdhury, 2004. "Private Savings in Transition Economies: Are there Terms of Trade Shocks?," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 46(4), pages 487-514, December.
    2. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    3. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    4. Peter Pedroni, 2000. "Fully Modified OLS for Heterogeneous Cointegrated Panels," Department of Economics Working Papers 2000-03, Department of Economics, Williams College.
    5. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    6. Norman Loayza & Klaus Schmidt-Hebbel & Luis Servén, 2000. "What Drives Private Saving Across the World?," The Review of Economics and Statistics, MIT Press, vol. 82(2), pages 165-181, May.
    7. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Department of Economics Working Papers 2000-02, Department of Economics, Williams College.
    8. Trinh Le & John Gibson & Steven Stillman, 2012. "Wealth and saving in New Zealand: evidence from the longitudinal survey of family, income and employment," New Zealand Economic Papers, Taylor & Francis Journals, vol. 46(2), pages 93-118, November.
    9. Tullio Jappelli & Marco Pagano, 1994. "Saving, Growth, and Liquidity Constraints," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(1), pages 83-109.
    10. Trinh Le & John Gibson & Steven Stillman, 2010. "Household Wealth and Saving in New Zealand: Evidence from the Longitudinal Survey of Family, Income and Employment," Working Papers 10_06, Motu Economic and Public Policy Research.
    11. repec:bla:obuest:v:61:y:1999:i:0:p:653-70 is not listed on IDEAS
    12. Peter Pedroni, 2001. "Purchasing Power Parity Tests In Cointegrated Panels," The Review of Economics and Statistics, MIT Press, vol. 83(4), pages 727-731, November.
    13. Mechthild Schrooten & Sabine Stephan, 2005. "Private savings and transition," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 13(2), pages 287-309, April.
    14. Sebastian Edwards, 1995. "Why are Saving Rates so Different Across Countries?: An International Comparative Analysis," NBER Working Papers 5097, National Bureau of Economic Research, Inc.
    15. Cevdet Denizer & Holger C. Wolf, 2000. "The Saving Collapse during the Transition in Eastern Europe," The World Bank Economic Review, World Bank, vol. 14(3), pages 445-455, September.
    16. Loayza, Norman & Schmidt-Hebbel, Klaus & Serven, Luis, 2000. "What drives private saving around the world?," Policy Research Working Paper Series 2309, The World Bank.
    17. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 653-670, November.
    18. Peter Pedroni, 2004. "Panel Cointegration: Asymptotic and Finite Sample Properties of Pooled Time Series Tests with an Application to the PPP Hypothesis," Department of Economics Working Papers 2004-15, Department of Economics, Williams College.
    19. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    20. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    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. Revoredo-Giha, Cesar & Leat, Philip M.K. & Renwick, Alan W., 2012. "The relationship between output and unemployment in Scotland: A regional analysis," Working Papers 131465, Scotland's Rural College (formerly Scottish Agricultural College), Land Economy & Environment Research Group.
    2. Acikgoz, Senay & Ben Ali, Mohamed Sami, 2019. "Where does economic growth in the Middle Eastern and North African countries come from?," The Quarterly Review of Economics and Finance, Elsevier, vol. 73(C), pages 172-183.
    3. Costantini, Valeria & Martini, Chiara, 2010. "The causality between energy consumption and economic growth: A multi-sectoral analysis using non-stationary cointegrated panel data," Energy Economics, Elsevier, vol. 32(3), pages 591-603, May.
    4. Abdul Rauf & Ilhan Ozturk & Fayyaz Ahmad & Khurram Shehzad & Abbas Ali Chandiao & Muhammad Irfan & Saira Abid & Li Jinkai, 2021. "Do Tourism Development, Energy Consumption and Transportation Demolish Sustainable Environments? Evidence from Chinese Provinces," Sustainability, MDPI, vol. 13(22), pages 1-23, November.
    5. Eberhardt, Markus & Teal, Francis, 2008. "Modeling technology and technological change in manufacturing: how do countries differ?," MPRA Paper 10690, University Library of Munich, Germany.
    6. Salim, Ruhul A. & Rafiq, Shuddhasattwa, 2012. "Why do some emerging economies proactively accelerate the adoption of renewable energy?," Energy Economics, Elsevier, vol. 34(4), pages 1051-1057.
    7. Sung, Bongsuk, 2015. "Public policy supports and export performance of bioenergy technologies: A dynamic panel approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 477-495.
    8. Georgescu, Irina Alexandra & Oprea, Simona-Vasilica & Bâra, Adela, 2024. "Investigating the relationship between macroeconomic indicators, renewables and pollution across diverse regions in the globalization era," Applied Energy, Elsevier, vol. 363(C).
    9. Dincer, Oguzhan, 2019. "Does corruption slow down innovation? Evidence from a cointegrated panel of U.S. states," European Journal of Political Economy, Elsevier, vol. 56(C), pages 1-10.
    10. Sung, Bongsuk & Song, Woo-Yong, 2014. "How government policies affect the export dynamics of renewable energy technologies: A subsectoral analysis," Energy, Elsevier, vol. 69(C), pages 843-859.
    11. Andersson, Jens & Lazuka, Volha, 2019. "Long-term drivers of taxation in francophone West Africa 1893–2010," World Development, Elsevier, vol. 114(C), pages 294-313.
    12. Alexandra Tsiotras & Antonio Estache, 2014. "In the short run, energy efficiency concerns and trade protection hurt each other and growth, but in the long run, not necessarily so: 1980-2010 Latin American Evidence," Working Papers ECARES ECARES 2014-38, ULB -- Universite Libre de Bruxelles.
    13. Sadorsky, Perry, 2012. "Energy consumption, output and trade in South America," Energy Economics, Elsevier, vol. 34(2), pages 476-488.
    14. Pedro M. G. Martins, 2010. "Aid Absorption and Spending in Africa: A Panel Cointegration Approach," Working Paper Series 1010, Department of Economics, University of Sussex Business School.
    15. Fang, Zheng & Chang, Youngho, 2016. "Energy, human capital and economic growth in Asia Pacific countries — Evidence from a panel cointegration and causality analysis," Energy Economics, Elsevier, vol. 56(C), pages 177-184.
    16. Tarkan Cavusoglu & Oguzhan Dincer, 2019. "Schooling and income inequality in the long-run," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 43(3), pages 594-606, July.
    17. Vishal Jaunky, 2013. "Democracy and economic growth in Sub-Saharan Africa: a panel data approach," Empirical Economics, Springer, vol. 45(2), pages 987-1008, October.
    18. Bernstein, Ronald & Madlener, Reinhard, 2011. "Responsiveness of Residential Electricity Demand in OECD Countries: A Panel Cointegation and Causality Analysis," FCN Working Papers 8/2011, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    19. George Halkos & Iacovos Psarianos, 2016. "Exploring the effect of including the environment in the neoclassical growth model," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 18(3), pages 339-358, July.
    20. Olimpia Neagu, 2019. "The Link between Economic Complexity and Carbon Emissions in the European Union Countries: A Model Based on the Environmental Kuznets Curve (EKC) Approach," Sustainability, MDPI, vol. 11(17), pages 1-27, August.

    More about this item

    Keywords

    household saving; banking sector development; Eastern Europe;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth

    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:wdi:papers:2015-1089. 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: WDI (email available below). General contact details of provider: https://edirc.repec.org/data/wdumius.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.