IDEAS home Printed from https://ideas.repec.org/p/uts/rpaper/67.html
   My bibliography  Save this paper

Modelling Structural Change in Money Demand Using a Fourier-Series Approximation

Author

Listed:
  • Ralf Becker
  • Walter Enders
  • Stan Hurn

Abstract

The paper develops a simple method that can be used to test for a time-varying intercept and to approximate its form. The test is solidly grounded in asymptotic theory and has good small-sample properties. The methodology is based on the fact that a Fourier approximation can capture the variation in any absolutely integrable function of time. As such, it is possible to use successive applications of the test to "back-out" the form of the time-varying intercept. We illustrate the methodology using an extended example concerning the demand for money.

Suggested Citation

  • Ralf Becker & Walter Enders & Stan Hurn, 2001. "Modelling Structural Change in Money Demand Using a Fourier-Series Approximation," Research Paper Series 67, Quantitative Finance Research Centre, University of Technology, Sydney.
  • Handle: RePEc:uts:rpaper:67
    as

    Download full text from publisher

    File URL: http://www.qfrc.uts.edu.au/research/research_papers/rp67.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Andrews, Donald W K & Ploberger, Werner, 1994. "Optimal Tests When a Nuisance Parameter Is Present Only under the Alternative," Econometrica, Econometric Society, vol. 62(6), pages 1383-1414, November.
    3. Chow, Gregory C., 1984. "Random and changing coefficient models," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 21, pages 1213-1245, Elsevier.
    4. 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.
    5. Robert B. Davies, 2002. "Hypothesis testing when a nuisance parameter is present only under the alternative: Linear model case," Biometrika, Biometrika Trust, vol. 89(2), pages 484-489, June.
    6. Andrews, Donald W K, 1993. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Econometrica, Econometric Society, vol. 61(4), pages 821-856, July.
    7. Hansen, Bruce E, 2002. "Tests for Parameter Instability in Regressions with I(1) Processes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 45-59, January.
    8. Barr Rosenberg, 1973. "A Survey of Stochastic Parameter Regression," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 2, number 4, pages 381-397, National Bureau of Economic Research, Inc.
    9. Tan, Hui Boon & Ashley, Richard, 1999. "Detection And Modeling Of Regression Parameter Variation Across Frequencies," Macroeconomic Dynamics, Cambridge University Press, vol. 3(1), pages 69-83, March.
    10. Stephen M. Goldfeld, 1976. "The Case of the Missing Money," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 7(3), pages 683-740.
    11. Farley, John U. & Hinich, Melvin & McGuire, Timothy W., 1975. "Some comparisons of tests for a shift in the slopes of a multivariate linear time series model," Journal of Econometrics, Elsevier, vol. 3(3), pages 297-318, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Razvan Pascalau & Christian Thomann & Greg N. Gregoriou, 2011. "Unconditional Mean, Volatility, and the FOURIER-GARCH Representation," Palgrave Macmillan Books, in: Greg N. Gregoriou & Razvan Pascalau (ed.), Financial Econometrics Modeling: Derivatives Pricing, Hedge Funds and Term Structure Models, chapter 5, pages 90-106, Palgrave Macmillan.
    2. Garcés Díaz, Daniel Guillermo, 2008. "Efectos de los cambios de la política monetaria en las dinámicas del tipo de cambio, el dinero y los precios en México (1945-2000)," El Trimestre Económico, Fondo de Cultura Económica, vol. 0(299), pages 683-713, julio-sep.
    3. Daniel Garces-Diaz, 2004. "How Does the Monetary Model of Exchange Rate Determination Look When It Really Works?," Econometric Society 2004 North American Winter Meetings 60, Econometric Society.

    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. Julian Ramajo & Miguel A. Marquez, 1998. "Structural change in regional economies: A varying coefficients econometric modeling approach," ERSA conference papers ersa98p189, European Regional Science Association.
    2. Nidhaleddine Ben Cheikh & Christophe Rault, 2016. "Recent estimates of exchange rate pass-through to import prices in the euro area," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 152(1), pages 69-105, February.
    3. Ramzi Issa & Robert Lafrance & John Murray, 2008. "The turning black tide: energy prices and the Canadian dollar," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 41(3), pages 737-759, August.
    4. Moayad H. Al Rasasi, 2020. "Assessing the Stability of Money Demand Function in Saudi Arabia," International Journal of Economics and Financial Research, Academic Research Publishing Group, vol. 6(2), pages 22-28, 02-2020.
    5. Riadh El Abed & Noura Harboub, 2022. "Time varying causality between Economic policy uncertainty and stock prices in BRIC countries: A rolling-window bootstrap approach," Economics Bulletin, AccessEcon, vol. 42(4), pages 1767-1781.
    6. Philipp Lieberknecht & Philip Vermeulen, 2022. "Wealth and income inequality in the long run," Working Papers 2022-02, Auckland University of Technology, Department of Economics.
    7. Kuo, Biing-Shen, 1998. "Test for partial parameter instability in regressions with I(1) processes," Journal of Econometrics, Elsevier, vol. 86(2), pages 337-368, June.
    8. Charles G. Renfro, 2009. "The Practice of Econometric Theory," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75571-5.
    9. Narayan, Paresh Kumar & Narayan, Seema, 2010. "Modelling the impact of oil prices on Vietnam's stock prices," Applied Energy, Elsevier, vol. 87(1), pages 356-361, January.
    10. Chen, Shiu-Sheng & Chou, Yu-Hsi, 2015. "Revisiting the relationship between exchange rates and fundamentals," Journal of Macroeconomics, Elsevier, vol. 46(C), pages 1-22.
    11. Mehmet Balcilar & Zeynel Ozdemir, 2013. "The export-output growth nexus in Japan: a bootstrap rolling window approach," Empirical Economics, Springer, vol. 44(2), pages 639-660, April.
    12. Riadh El Abed & Abderrazek Ben Hamouda, 2024. "Time Frequency and Co-movements between Global Economic Policy Uncertainty, Precious Metals and Agricultural Prices: A Wavelet Coherence Analysis and Bootstrap Rolling Window Granger Causality," International Journal of Energy Economics and Policy, Econjournals, vol. 14(2), pages 546-561, March.
    13. Byeongseon Seo, 2004. "Testing for Nonlinear Adjustment in Smooth Transition Vector Error Correction Models," Econometric Society 2004 Far Eastern Meetings 749, Econometric Society.
    14. Abderrazek Ben Hamouda, 2023. "Revisiting the Causality between Oil Prices and Stock Markets in Selected MENA Countries: A Bootstrap Rolling-window Approach," International Journal of Economics and Financial Issues, Econjournals, vol. 13(5), pages 109-118, September.
    15. Sun, Yanpeng & Song, Yuru & Long, Chi & Qin, Meng & Lobonţ, Oana-Ramona, 2023. "How to improve global environmental governance? Lessons learned from climate risk and climate policy uncertainty," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 1666-1676.
    16. Shinhye Chang & Rangan Gupta & Stephen M. Miller, 2018. "Causality Between Per Capita Real GDP and Income Inequality in the U.S.: Evidence from a Wavelet Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(1), pages 269-289, January.
    17. Bertrand Groslambert & Raphaël Chiappini & Olivier Bruno, 2015. "Bank Output Calculation in the Case of France: What Do New Methods Tell About the Financial Intermediation Services in the Aftermath of the Crisis?," GREDEG Working Papers 2015-32, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    18. Marotta, Giuseppe, 2009. "Structural breaks in the lending interest rate pass-through and the euro," Economic Modelling, Elsevier, vol. 26(1), pages 191-205, January.
    19. Nyakabawo, Wendy & Miller, Stephen M. & Balcilar, Mehmet & Das, Sonali & Gupta, Rangan, 2015. "Temporal causality between house prices and output in the US: A bootstrap rolling-window approach," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 55-73.
    20. Tarlok Singh, 2016. "On the sectoral linkages and pattern of economic growth in India," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 21(2), pages 257-275, April.

    More about this item

    Keywords

    structural break; fourier approximations; money demand;
    All these keywords.

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

    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:uts:rpaper:67. 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: Duncan Ford (email available below). General contact details of provider: https://edirc.repec.org/data/qfutsau.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.