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Post stabilization estimates of money demand in Croatia: error correction model using the bounds testing approach

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  • James Payne

Abstract

This paper estimates an error correction model of money demand for Croatia over the post-stabilization period based on the ARDL bounds testing procedure. While industrial production is statistically insignificant for both the M1 and M1A money demand specifications, interest rates, inflation, and the real effective exchange rate have a negative and statistically significant impact. The error correction money demand models appear structurally stable based on the cumulative sum and cumulative sum of square tests.

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  • James Payne, 2003. "Post stabilization estimates of money demand in Croatia: error correction model using the bounds testing approach," Applied Economics, Taylor & Francis Journals, vol. 35(16), pages 1723-1727.
  • Handle: RePEc:taf:applec:v:35:y:2003:i:16:p:1723-1727
    DOI: 10.1080/0003684032000152871
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    1. Adil, Masudul Hasan & Haider, Salman & Hatekar, Neeraj, 2018. "The empirical verification of money demand in case of India: Post-reform era," MPRA Paper 87148, University Library of Munich, Germany, revised 07 Jun 2018.
    2. Lee, Chien Chiang & Chang, Chun Ping, 2012. "The Demand for Money in China: A Reassessment Using the Bounds Testing Approach," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 74-94, March.
    3. Ansgar Belke & Robert Czudaj, 2010. "Is Euro Area Money Demand (Still) Stable? Cointegrated VAR Versus Single Equation Techniques," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 56(4), pages 285-315.
    4. Ansgar Belke & Robert Czudaj, 2010. "Is Euro Area Money Demand (Still) Stable? – Cointegrated VAR versus Single Equation Techniques," Ruhr Economic Papers 0171, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    5. Chien-Chiang Lee & An-Hsing Chang, 2013. "Revisiting the demand for money function: evidence from the random coefficients approach," Quantitative Finance, Taylor & Francis Journals, vol. 13(9), pages 1491-1502, September.
    6. Jordan KJOSEVSKI & Mihail PETKOVSKI, 2017. "Are The Determinants Of Money Demand Stable In Selected Countries From Southeastern Europe?," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 84-96, December.
    7. Jordan Kjosevski, 2013. "The determinants and stability of money demand in the Republic of Macedonia," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 31(1), pages 35-54.
    8. Ansgar Belke & Thorsten Polleit, 2006. "Monetary policy and dividend growth in Germany: long-run structural modelling versus bounds testing approach," Applied Economics, Taylor & Francis Journals, vol. 38(12), pages 1409-1423.
    9. Balázs Égert & Ronald MacDonald, 2006. "Monetary Transmission Mechanism in Transition Economies: Surveying the Surveyable," MNB Working Papers 2006/5, Magyar Nemzeti Bank (Central Bank of Hungary).
    10. Mustafa Ozan Yıldırım & Özge Filiz Yağcıbaşı, 2019. "The Dynamics Of House Prices And Fiscal Policy Shocks In Turkey," Economic Annals, Faculty of Economics, University of Belgrade, vol. 64(220), pages 39-60, January –.
    11. Boriss Siliverstovs, 2008. "Dynamic modelling of the demand for money in Latvia," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 8(1), pages 53-74, October.
    12. Ahmad Baharumshah & Siew-Voon Soon, 2015. "Demand for broad money in Singapore: does wealth matter?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 39(3), pages 557-573, July.
    13. Barry Harrison & Yulia Vymyatnina, 2005. "Demand for Money During Transition: The Case of Russia," EUSP Department of Economics Working Paper Series Ec-01/05, European University at St. Petersburg, Department of Economics, revised 22 Nov 2005.
    14. repec:zbw:rwirep:0171 is not listed on IDEAS
    15. Mohsen Bahmani-Oskooee & Hanafiah Harvey & Scott W. Hegerty, 2014. "Brazil--US commodity trade and the J-Curve," Applied Economics, Taylor & Francis Journals, vol. 46(1), pages 1-13, January.
    16. Boriss Siliverstovs, 2006. "Modelling Demand for Money in Latvia (in Russian)," Quantile, Quantile, issue 1, pages 67-79, September.
    17. Ansgar Belke & Thorsten Polleit, 2005. "(How) Do Stock Market Returns React to Monetary Policy? - An ARDL Cointegration Analysis for Germany," Diskussionspapiere aus dem Institut für Volkswirtschaftslehre der Universität Hohenheim 253/2005, Department of Economics, University of Hohenheim, Germany.
    18. Baharumshah, Ahmad Zubaidi & Mohd, Siti Hamizah & Mansur M. Masih, A., 2009. "The stability of money demand in China: Evidence from the ARDL model," Economic Systems, Elsevier, vol. 33(3), pages 231-244, September.
    19. Mohsen Bahmani-Oskooee & Hanafiah Harvey & Scott Hegerty, 2013. "Regime changes and the impact of currency depreciations: the case of Spanish–US industry trade," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 40(1), pages 21-37, February.
    20. Sanidas, Elias & Jayanthakumaran, Kankesu, 2006. "The Consequences of Trade Liberalisation on the Australian Passenger Motor Vehicle Industry," Economics Working Papers wp06-01, School of Economics, University of Wollongong, NSW, Australia.
    21. John Bosco Nnyanzi, 2018. "The Interaction Effect of Financial Innovation and the Transmission Channels on Money Demand in Uganda," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(12), pages 1-1, December.
    22. Barry Harrison & Yulia Vymyatnina, 2005. "Demand for Money During Transition: The Case of Russia," EUSP Department of Economics Working Paper Series 2005/01, European University at St. Petersburg, Department of Economics, revised 22 Nov 2005.

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    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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