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Testing Effects of the Treasury single account system on the cost of borrowing in the OECD Countries

Author

Listed:
  • Saliha Çınar

    (Pamukkale University)

  • Aygül Anavatan

    (Pamukkale University)

  • Fatih Deyneli

    (Pamukkale University)

Abstract

The basic function of the Treasury is to equalize the revenues and expenditures of the public in terms of space and time. Cash management, which is included in these functions, regulates the short-term cash flow between various government institutions and non-governmental organizations. To carry out the cash management system effectively, the Treasury Single Account system, which enables all revenues to be collected in one place and all expenditures to be made from one place, is widely used by countries at present. In this study, the effects of the Treasury Single Account system on macroeconomic indicators are investigated in 33 OECD member countries. More specifically, we investigate the relationship between the Treasury Single Account system and the cost of borrowing in these countries. For this purpose, we used the OECD and the World Bank data covering the period 2000–2020. According to the study’s findings, the Treasury Single Account system reduces the Treasury’s borrowing requirement and borrowing cost.

Suggested Citation

  • Saliha Çınar & Aygül Anavatan & Fatih Deyneli, 2022. "Testing Effects of the Treasury single account system on the cost of borrowing in the OECD Countries," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(4), pages 757-770, October.
    • Handle: RePEc:spr:jecfin:v:46:y:2022:i:4:d:10.1007_s12197-022-09584-w
    DOI: 10.1007/s12197-022-09584-w
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    1. Kaddour Hadri, 2000. "Testing for stationarity in heterogeneous panel data," Econometrics Journal, Royal Economic Society, vol. 3(2), pages 148-161.
    2. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    3. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    4. T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 239-253.
    5. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    6. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    7. Janice Boucher Breuer & Robert McNown & Myles Wallace, 2002. "Series‐specific Unit Root Tests with Panel Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 64(5), pages 527-546, December.
    8. Hashem Pesaran, M. & Yamagata, Takashi, 2008. "Testing slope homogeneity in large panels," Journal of Econometrics, Elsevier, vol. 142(1), pages 50-93, January.
    9. Baris CAN, 2019. "The Likely Impact of Extended Turkish Treasury Single Account System on Public Finance in Turkey," Journal of BRSA Banking and Financial Markets, Banking Regulation and Supervision Agency, vol. 13(2), pages 231-266.
    10. 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.
    11. Taylor, Mark P. & Sarno, Lucio, 1998. "The behavior of real exchange rates during the post-Bretton Woods period," Journal of International Economics, Elsevier, vol. 46(2), pages 281-312, December.
    12. repec:bla:obuest:v:61:y:1999:i:0:p:631-52 is not listed on IDEAS
    13. Mrs. Teresa Ter-Minassian & Mr. Pedro Martínez-Méndez & Mr. Pedro Pullen Parente, 1995. "Setting Up a Treasury in Economies in Transition," IMF Working Papers 1995/016, International Monetary Fund.
    14. repec:bla:obuest:v:64:y:2002:i:5:p:527-46 is not listed on IDEAS
    15. Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
    16. Moulton, Brent R & Randolph, William C, 1989. "Alternative Tests of the Error Components Model," Econometrica, Econometric Society, vol. 57(3), pages 685-693, May.
    17. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    18. World Bank, 2012. "World Development Report 2012 [Rapport sur le développement dans le monde 2012]," World Bank Publications - Books, The World Bank Group, number 4391.
    19. 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.
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