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Testing for short-run threshold effects in a vector error-correction framework: a reappraisal of the stability of the US money demand

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  • Lieb Lenard

    (Department of Economics, School of Business and Economics, Maastricht University, PO Box 616, MD 6200, Maastricht, The Netherlands)

  • Candelon Bertrand

    (IPAG Business School, 184 Boulevard Saint-Germain, 75006 Paris, France)

Abstract

In this paper we analyze the stability of the money demand system in the US. To this aim, we develop an estimation and testing framework for a threshold vector error-correction model (VECM), where short-run dynamics are regime dependent and are driven by an exogenous, stationary and ergodic threshold variable. We modify a traditional Wald-type test for linearity and derive its asymptotic distribution, which turns out to be non-standard, but similar to the one proposed by Andrews [Andrews, D. 1993. “Tests for Parameter Instability and Structural Change with Unknown Change Point.” Econometrica 61 (4): 821–856]. Accounting for the diversity of the potential determinants of money holdings, a broad scope of money demand systems is analyzed. The linearity test confirms that money demand is not only suffering from structural breaks, but is driven by regimes governed by business cycles. Moreover, a similar pattern and a robust dating of the regimes is observed no matter the money demand system considered, offering hence a reconciling picture of previous empirical studies. From a policy perspective, our findings supports the implementation of cyclical monetary policy by the Federal Reserve.

Suggested Citation

  • Lieb Lenard & Candelon Bertrand, 2015. "Testing for short-run threshold effects in a vector error-correction framework: a reappraisal of the stability of the US money demand," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(3), pages 355-376, June.
    • Handle: RePEc:bpj:sndecm:v:19:y:2015:i:3:p:355-376:n:1
    DOI: 10.1515/snde-2013-0091
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    References listed on IDEAS

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    1. Merton H. Miller & Daniel Orr, 1966. "A Model of the Demand for Money by Firms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 80(3), pages 413-435.
    2. Hansen, Bruce E, 1996. "Inference When a Nuisance Parameter Is Not Identified under the Null Hypothesis," Econometrica, Econometric Society, vol. 64(2), pages 413-430, March.
    3. Sarno, Lucio, 1999. "Adjustment Costs and Nonlinear Dynamics in the Demand for Money: Italy, 1861-1991," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 4(2), pages 155-177, April.
    4. Candelon, Bertrand & Lieb, Lenard, 2013. "Fiscal policy in good and bad times," Journal of Economic Dynamics and Control, Elsevier, vol. 37(12), pages 2679-2694.
    5. Chen, Show-Lin & Wu, Jyh-Lin, 2005. "Long-run money demand revisited: evidence from a non-linear approach," Journal of International Money and Finance, Elsevier, vol. 24(1), pages 19-37, February.
    6. Calza, Alessandro & Zaghini, Andrea, 2009. "Nonlinearities In The Dynamics Of The Euro Area Demand For M1," Macroeconomic Dynamics, Cambridge University Press, vol. 13(1), pages 1-19, February.
    7. 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.
    8. Corradi, Valentina & Swanson, Norman R. & White, Halbert, 2000. "Testing for stationarity-ergodicity and for comovements between nonlinear discrete time Markov processes," Journal of Econometrics, Elsevier, vol. 96(1), pages 39-73, May.
    9. Judd, John P & Scadding, John L, 1982. "The Search for a Stable Money Demand Function: A Survey of the Post-1973 Literature," Journal of Economic Literature, American Economic Association, vol. 20(3), pages 993-1023, September.
    10. 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.
    11. Rose, Andrew K, 1985. "An Alternative Approach to the American Demand for Money," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 17(4), pages 439-455, November.
    12. Mr. Pau Rabanal, 2004. "Monetary Policy Rules and the U.S. Business Cycle: Evidence and Implications," IMF Working Papers 2004/164, International Monetary Fund.
    13. Gonzalo, Jesus & Pitarakis, Jean-Yves, 2002. "Estimation and model selection based inference in single and multiple threshold models," Journal of Econometrics, Elsevier, vol. 110(2), pages 319-352, October.
    14. Frédérique Bec & Anders Rahbek, 2004. "Vector equilibrium correction models with non-linear discontinuous adjustments," Econometrics Journal, Royal Economic Society, vol. 7(2), pages 628-651, December.
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