IDEAS home Printed from https://ideas.repec.org/p/fip/fedrwp/79-05.html
   My bibliography  Save this paper

An alternative method of estimating the Cagan money demand function in hyperinflation under rational expectations

Author

Listed:
  • Marvin Goodfriend

Abstract

This paper contains a description and implementation of a new strategy for estimating the Cagan money demand function under rational expectations.

Suggested Citation

  • Marvin Goodfriend, 1979. "An alternative method of estimating the Cagan money demand function in hyperinflation under rational expectations," Working Paper 79-05, Federal Reserve Bank of Richmond.
  • Handle: RePEc:fip:fedrwp:79-05
    as

    Download full text from publisher

    File URL: http://www.richmondfed.org/publications/research/working_papers/1979/wp_79-5.cfm
    Download Restriction: no

    File URL: http://www.richmondfed.org/publications/research/working_papers/1979/pdf/wp79-5.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Salemi, Michael K & Sargent, Thomas J, 1979. "The Demand for Money during Hyperinflation under Rational Expectations: II," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 20(3), pages 741-758, October.
    2. Barro, Robert J, 1970. "Inflation, the Payments Period, and the Demand for Money," Journal of Political Economy, University of Chicago Press, vol. 78(6), pages 1228-1263, Nov.-Dec..
    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. Craig Burnside & Bing Han & David Hirshleifer & Tracy Yue Wang, 2011. "Investor Overconfidence and the Forward Premium Puzzle," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 78(2), pages 523-558.
    2. Engsted, Tom, 2003. "Misspecification versus bubbles in hyperinflation data: comment," Journal of International Money and Finance, Elsevier, vol. 22(4), pages 441-451, August.
    3. Dimitris Georgoutsos & Georgios Kouretas, 2004. "A Multivariate I(2) cointegration analysis of German hyperinflation," Applied Financial Economics, Taylor & Francis Journals, vol. 14(1), pages 29-41.
    4. Alexei Deviatov, 2019. "Estimating à Cagan-type Demand Function for Gold: 1561–1913," Russian Journal of Money and Finance, Bank of Russia, vol. 78(3), pages 122-136, September.
    5. Peter M. Garber & Robert G. King, 1983. "Deep Structral Excavation? A Critique of Euler Equation Methods," NBER Technical Working Papers 0031, National Bureau of Economic Research, Inc.
    6. Hooker, Mark A., 2003. "Misspecification and bubbles in hyperinflation data: reply to Engsted1," Journal of International Money and Finance, Elsevier, vol. 22(4), pages 453-458, August.
    7. Han, Bing & Hirshleifer, David & Wang, Tracy Yue, 2005. "Investor Overconfidence and the Forward Discount Puzzle," Working Paper Series 2005-21, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    8. Chan, Hing Lin & Lee, Shu Kam & Woo, Kai-Yin, 2003. "An empirical investigation of price and exchange rate bubbles during the interwar European hyperinflations," International Review of Economics & Finance, Elsevier, vol. 12(3), pages 327-344.
    9. Mark A. Hooker, 1997. "Misspecification versus bubbles in hyperinflation data: Monte Carlo and interwar European evidence," Finance and Economics Discussion Series 1997-49, Board of Governors of the Federal Reserve System (U.S.).
    10. Jermann, Urban J., 2021. "Cryptocurrencies and Cagan’s model of hyperinflation," Journal of Macroeconomics, Elsevier, vol. 69(C).
    11. Hartwell, Christopher A & Szybisz, Martin Andres, 2021. "Corralling Expectations: The Role of Institutions in (Hyper)Inflation," MPRA Paper 105612, University Library of Munich, Germany.
    12. Hooker, Mark A., 2000. "Misspecification versus bubbles in hyperinflation data: Monte Carlo and interwar European evidence," Journal of International Money and Finance, Elsevier, vol. 19(4), pages 583-600, August.
    13. Topal, yavuz Han, 2013. "On the tracks of Zimbabwe’s Hyperinflation: A Quantitative Investigation," MPRA Paper 56117, University Library of Munich, Germany.
    14. Engsted, Tom, 1998. "Money Demand During Hyperinflation: Cointegration, Rational Expectations, and the Importance of Money Demand Shocks," Journal of Macroeconomics, Elsevier, vol. 20(3), pages 533-552, July.

    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. Luca Benati, 2018. "Cagan s Paradox Revisited," Diskussionsschriften dp1826, Universitaet Bern, Departement Volkswirtschaft.
    2. Ruge-Murcia, Francisco J, 1995. "Credibility and Changes in Policy Regime," Journal of Political Economy, University of Chicago Press, vol. 103(1), pages 176-208, February.
    3. Tourinho, Octávio A. F ., 1997. "The Demand and Supply of Money Under High Inflation: Brazil 1974-1994," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 17(2), November.
    4. Ruge-Murcia, Francisco J., 1999. "Government expenditure and the dynamics of high inflation," Journal of Development Economics, Elsevier, vol. 58(2), pages 333-358, April.
    5. RUGE-MURCIA, Francisco J., 1997. "Credibility and Signaling in Disinflation- a Cross Country Examination," Cahiers de recherche 9712, Universite de Montreal, Departement de sciences economiques.
    6. Atanas Christev, 2006. "Learning Hyperinflations," Computing in Economics and Finance 2006 475, Society for Computational Economics.
    7. Lin, Hsin-Yi & Chu, Hao-Pang, 2013. "Are fiscal deficits inflationary?," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 214-233.
    8. Karimova, Amira & Simsek, Esra & Orhan, Mehmet, 2020. "Policy implications of the Lucas Critique empirically tested along the global financial crisis," Journal of Policy Modeling, Elsevier, vol. 42(1), pages 153-172.
    9. Bordo, Michael D., 1986. "Explorations in monetary history: A survey of the literature," Explorations in Economic History, Elsevier, vol. 23(4), pages 339-415, October.
    10. Thomas J. Sargent, 1982. "The Ends of Four Big Inflations," NBER Chapters, in: Inflation: Causes and Effects, pages 41-98, National Bureau of Economic Research, Inc.
    11. Lawrence J. Christiano, 1980. "The term structure of interest rates and the aliasing identification problem," Working Papers 165, Federal Reserve Bank of Minneapolis.
    12. Alexei Deviatov, 2019. "Estimating à Cagan-type Demand Function for Gold: 1561–1913," Russian Journal of Money and Finance, Bank of Russia, vol. 78(3), pages 122-136, September.
    13. Rafael Velasco-Fuentes & Wing Lon Ng, 2011. "Nonlinearities in stochastic clocks: trades and volume as subordinators of electronic markets," Quantitative Finance, Taylor & Francis Journals, vol. 11(6), pages 863-881.
    14. Andrew Filardo & Marco Jacopo Lombardi & Marek Raczko, 2018. "Measuring financial cycle time," BIS Working Papers 755, Bank for International Settlements.
    15. Atıcı, Ferhan M. & Ekiz, Funda & Lebedinsky, Alex, 2014. "Cagan type rational expectation model on complex discrete time domains," European Journal of Operational Research, Elsevier, vol. 237(1), pages 148-151.
    16. Hercowitz, Zvi, 1983. "Anticipated Inflation, the Frequency of Transactions, and the Slope of the Phillips Curve," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 15(2), pages 139-154, May.
    17. Lawrence J. Christiano, 1981. "Rational expectations, hyperinflation, and the demand for money," Working Papers 163, Federal Reserve Bank of Minneapolis.
    18. Faugere, Christophe, 2010. "Macrofoundations for A (Near) 2% Inflation Target," MPRA Paper 23491, University Library of Munich, Germany, revised 25 Jun 2010.
    19. Komunjer, Ivana & Zhu, Yinchu, 2020. "Likelihood ratio testing in linear state space models: An application to dynamic stochastic general equilibrium models," Journal of Econometrics, Elsevier, vol. 218(2), pages 561-586.

    More about this item

    Keywords

    Money supply; Inflation (Finance);

    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:fip:fedrwp:79-05. 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: Christian Pascasio (email available below). General contact details of provider: https://edirc.repec.org/data/frbrius.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.