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Measuring Income Elasticity for Swiss Money Demand: What do the cantons say about financial innovation?

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Abstract

Recent time-series evidence has re-confirmed the forecasting ability of Swiss broad money. The same money demand studies and others, however, find that the income elasticity is greater than one. Such parameter estimates are difficult to reconcile with transactions demand theory. This study re-examines the estimates for income elasticity in money demand based on cross-regional evidence for Switzerland. Particular attention is given to the influence of regional financial sophistication. The cross-cantonal results find that the income elasticity lies between 0.4 and 0.6. This discrepancy between the two empirical methodologies has important consequences for the conduct of Swiss monetary policy.

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  • Andreas Fischer, 2005. "Measuring Income Elasticity for Swiss Money Demand: What do the cantons say about financial innovation?," Working Papers 05.01, Swiss National Bank, Study Center Gerzensee.
    • Handle: RePEc:szg:worpap:0501
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    4. Jun Nagayasu, 2012. "Financial innovation and regional money," Applied Economics, Taylor & Francis Journals, vol. 44(35), pages 4617-4629, December.
    5. Andreas M. Fischer & Lucca Zachmann, 2020. "Do the rich pay their taxes early?," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 27(1), pages 194-214, February.
    6. Fischer, Andreas M., 2014. "Immigration And Large Banknotes," Macroeconomic Dynamics, Cambridge University Press, vol. 18(4), pages 899-919, June.
    7. Arnold, Ivo J.M. & Roelands, Sebastian, 2010. "The demand for euros," Journal of Macroeconomics, Elsevier, vol. 32(2), pages 674-684, June.
    8. Nagayasu, Jun, 2009. "Regional Inflation in China," MPRA Paper 24722, University Library of Munich, Germany.
    9. S. M. Woahid Murad, 2021. "Asymmetric Effects of Economic Uncertainty on Money Demand Function in Bangladesh: A Nonlinear ARDL and Cumulative Fourier Causality Approach," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 20(2), pages 1-13, September.
    10. Ivo J. M. Arnold & Sebastian Roelands, 2011. "Housing Wealth And U.S. Money Demand: A Panel Estimation," Contemporary Economic Policy, Western Economic Association International, vol. 29(3), pages 382-391, July.
    11. S. M. Woahid Murad, 2021. "Asymmetric Effects of Economic Uncertainty on Money Demand Function in Bangladesh: A Nonlinear ARDL and Cumulative Fourier Causality Approach," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 20(2), pages 187-199, September.
    12. Wei Liao & Mr. Sampawende J Tapsoba, 2014. "China’s Monetary Policy and Interest Rate Liberalization: Lessons from International Experiences," IMF Working Papers 2014/075, International Monetary Fund.
    13. Mehmood, Shafaqat & Ahmad, Zahid & Khan, Ather Azim, 2016. "Dynamic relationships between tourist arrivals, immigrants, and crimes in the United States," Tourism Management, Elsevier, vol. 54(C), pages 383-392.
    14. Hasan Cömert & Gerald Epstein, 2016. "Finansal Yenilik Yazinindaki Son Gelismeler," STPS Working Papers 1604, STPS - Science and Technology Policy Studies Center, Middle East Technical University, revised Jan 2016.
    15. Geoffrey R. Dunbar, 2019. "Demographics and the demand for currency," Empirical Economics, Springer, vol. 57(4), pages 1375-1409, October.
    16. Payam MOHAMMAD ALIHA & Tamat SARMIDI & Fathin FAIZAH SAID, 2018. "Investigating The Impact Of Financial Innovation On The Volatility Of The Demand For Money In The United Stated In The Context Of An Arch/Garch Model," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(1), pages 19-26, June.
    17. Hyunjoo Ryou & Cristina Terra, 2015. "Exchange Rate Dynamics under Financial Market Frictions," THEMA Working Papers 2015-03, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    18. David Norman, 2006. "Modelling Manufactured Exports: Evidence from Australian States," RBA Research Discussion Papers rdp2006-01, Reserve Bank of Australia.
    19. Stephen G. Hall & George Hondroyiannis & P.A.V.B. Swamy & George S. Tavlas, 2009. "Where Has All the Money Gone? Wealth and the Demand for Money in South Africa †," Journal of African Economies, Centre for the Study of African Economies, vol. 18(1), pages 84-112, January.
    20. Nuno, Carlos Leitão & Muhammad, Shahbaz, 2011. "Migration and Tourist Flows," MPRA Paper 34905, University Library of Munich, Germany, revised 12 Nov 2011.
    21. S. M. Woahid Murad, 2021. "Asymmetric Effects of Economic Uncertainty on Money Demand Function in Bangladesh: A Nonlinear ARDL and Cumulative Fourier Causality Approach," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 20(3), pages 201-213, December.
    22. Ivo J. M. Arnold, 2022. "Monetary overhang in times of covid: evidence from the euro area," Applied Economics, Taylor & Francis Journals, vol. 54(35), pages 4030-4042, July.

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    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • E41 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Demand for Money
    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General

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