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Determinants of domestic saving rate in Turkey: A new generation econometric analysis

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  • Ismet GOCER

    (Aydin Adnan Menderes University, Turkey)

Abstract

In this study, the determinants of domestic savings rate in Turkey are investigated by Johansen cointegration test and DOLS method for 1975-2018 periods. At the end of the analysis, the most important determinants of savings are found to be per capita income, real interest rates, inflation, employment and economic risk perception (gold prices). Error correction mechanisms of the models operate. The causality relationships between the variables are examined by Breitung and Candelon (2006) frequency domain causality test. While no causal relationship from real interests and gold prices to savings is determined, permanent causality from national income and employment to savings and temporary causality from inflation to savings are found.

Suggested Citation

  • Ismet GOCER, 2019. "Determinants of domestic saving rate in Turkey: A new generation econometric analysis," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(3(620), A), pages 135-150, Autumn.
    • Handle: RePEc:agr:journl:v:xxvi:y:2019:i:3(620):p:135-150
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    1. repec:jle:journl:123 is not listed on IDEAS
    2. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    3. Robert M. Solow, 1956. "A Contribution to the Theory of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 70(1), pages 65-94.
    4. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    5. Ugur Adiguzel & Tayfur Bayat & Selim Kayhan & Saban Nazlioglu, 2013. "Oil Prices and Exchange Rates in Brazil, India and Turkey: Time and Frequency Domain Causality Analysis," Research Journal of Politics, Economics and Management, Sakarya University, Faculty of Economics and Administrative Sciences, vol. 1(1), pages 49-73, January.
    6. Bozoklu, Seref & Yilanci, Veli, 2013. "Energy consumption and economic growth for selected OECD countries: Further evidence from the Granger causality test in the frequency domain," Energy Policy, Elsevier, vol. 63(C), pages 877-881.
    7. Breitung, Jorg & Candelon, Bertrand, 2006. "Testing for short- and long-run causality: A frequency-domain approach," Journal of Econometrics, Elsevier, vol. 132(2), pages 363-378, June.
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