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Buffer-Stock Money: Interpreting Short-Run Dynamics Using Long-Run Restrictions

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Author Info

  • Lastrapes, William D
  • Selgin, George A

Abstract

Time-series techniques are used to assess the quantitative importance of buffer-stock money--the short-run response of real money holdings to nominal money supply shocks. The empirical model, a vector autoregression of real and nominal money balances, captures general dynamic properties of the time series but requires theoretical restrictions for sensible interpretation. The authors just-identify the system by imposing a long-run neutrality restriction: nominal money shocks have no permanent effects on real money. They find that buffer-stock effects play an important role in the evolution of real M1 in the short-run. The evidence for M2 is less conclusive. Copyright 1994 by Ohio State University Press.

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Bibliographic Info

Article provided by Blackwell Publishing in its journal Journal of Money, Credit and Banking.

Volume (Year): 26 (1994)
Issue (Month): 1 (February)
Pages: 34-54

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Handle: RePEc:mcb:jmoncb:v:26:y:1994:i:1:p:34-54

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Web page: http://www.blackwellpublishing.com/journal.asp?ref=0022-2879

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Cited by:
  1. Lastrapes, W. D., 1998. "International evidence on equity prices, interest rates and money," Journal of International Money and Finance, Elsevier, vol. 17(3), pages 377-406, June.
  2. Martin Schmidt, 2003. "Money and prices: evidence from the G7 countries," Applied Economics, Taylor & Francis Journals, vol. 35(17), pages 1799-1809.
  3. Martin B. Schmidt, 2004. "Exogeneity within the M2 Demand Function: Evidence from a Large Macroeconomic System," Economic Inquiry, Western Economic Association International, vol. 42(4), pages 634-646, October.
  4. Nicholas Apergis, 2001. "Reassessing the role of buffer stock money under oil price shocks," Atlantic Economic Journal, International Atlantic Economic Society, vol. 29(1), pages 20-30, March.
  5. Christopher A. Sims & Tao Zha, 1995. "Error bands for impulse responses," Working Paper 95-6, Federal Reserve Bank of Atlanta.
  6. Hany Guirguis & Martin B. Schmidt, 2005. "Output Variability and the Money-Output Relationship," International Journal of Business and Economics, College of Business, and College of Finance, Feng Chia University, Taichung, Taiwan, vol. 4(1), pages 53-66, April.
  7. Luis Fernando Melo & Franz A.Hamann, . "Inflación Básica.Una Estimación Basada en Modelos VAR Estructurales," Borradores de Economia 093, Banco de la Republica de Colombia.
  8. Paul Lau, Sau-Him, 2000. "On the validity and identification of long-run restrictions for a cointegrated system," Economic Modelling, Elsevier, vol. 17(4), pages 485-496, December.

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