IDEAS home Printed from https://ideas.repec.org/p/nzb/nzbdps/2003-02.html
   My bibliography  Save this paper

On applications of state-space modelling in macroeconomics

Author

Listed:

Abstract

This paper reviews the literature on applications of state- space modelling to macroeconomic questions, with four examples related to modelling unobserved trends, transition across different steady states, expectations formation and forecasting/data revision issues. Due to the flexibility of the state-space approach, it is both a useful tool for research purposes and highly useful in addressing practical issues. In many cases, state-space modelling offers the possibility of building encompassing models, and formulating rather complicated problems in a simple manner.

Suggested Citation

  • Olivier Basdevant, 2003. "On applications of state-space modelling in macroeconomics," Reserve Bank of New Zealand Discussion Paper Series DP2003/02, Reserve Bank of New Zealand.
    • Handle: RePEc:nzb:nzbdps:2003/02
    as

    Download full text from publisher

    File URL: http://www.rbnz.govt.nz/-/media/ReserveBank/Files/Publications/Discussion%20papers/2003/dp03-02.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. R. H. Shumway & D. S. Stoffer, 1982. "An Approach To Time Series Smoothing And Forecasting Using The Em Algorithm," Journal of Time Series Analysis, Wiley Blackwell, vol. 3(4), pages 253-264, July.
    2. Marcet, Albert & Sargent, Thomas J, 1988. "The Fate of Systems with "Adaptive" Expectations," American Economic Review, American Economic Association, vol. 78(2), pages 168-172, May.
    3. repec:zbw:bofrdp:1998_006 is not listed on IDEAS
    4. Athanasios Orphanides & John Williams, 2004. "Imperfect Knowledge, Inflation Expectations, and Monetary Policy," NBER Chapters, in: The Inflation-Targeting Debate, National Bureau of Economic Research, Inc.
    5. Marit Hinnosaar, 2001. "Potential output estimates for Central and East European countries using production function method," Bank of Estonia Working Papers 2001-2, Bank of Estonia, revised 13 Oct 2001.
    6. Feige, Edgar L & Pearce, Douglas K, 1976. "Economically Rational Expectations: Are Innovations in the Rate of Inflation Independent of Innovations in Measures of Monetary and Fiscal Policy?," Journal of Political Economy, University of Chicago Press, vol. 84(3), pages 499-522, June.
    7. Fuhrer, Jeff & Moore, George, 1992. "Monetary policy rules and the indicator properties of asset prices," Journal of Monetary Economics, Elsevier, vol. 29(2), pages 303-336, April.
    8. Caskey, John P, 1985. "Modeling the Formation of Price Expectations: A Bayesian Approach," American Economic Review, American Economic Association, vol. 75(4), pages 768-776, September.
    9. Basdevant, Olivier, 2000. "An econometric model of the Russian Federation," Economic Modelling, Elsevier, vol. 17(2), pages 305-336, April.
    10. James H. Stock & Mark W. Watson, 1989. "New Indexes of Coincident and Leading Economic Indicators," NBER Chapters, in: NBER Macroeconomics Annual 1989, Volume 4, pages 351-409, National Bureau of Economic Research, Inc.
    11. Taylor, John B, 1975. "Monetary Policy during a Transition to Rational Expectations," Journal of Political Economy, University of Chicago Press, vol. 83(5), pages 1009-1021, October.
    12. Friedman, Milton, 1992. "Do Old Fallacies Ever Die?," Journal of Economic Literature, American Economic Association, vol. 30(4), pages 2129-2132, December.
    13. Belongia, Michael T & Hafer, R W & Sheehan, Richard G, 1988. "On the Temporal Stability of the Interest Rate-Weekly Money Relationship," The Review of Economics and Statistics, MIT Press, vol. 70(3), pages 516-520, August.
    14. Taylor, John B., 1993. "Discretion versus policy rules in practice," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 39(1), pages 195-214, December.
    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. Cour-Thimann, Philippine & Pilegaard, Rasmus & Stracca, Livio, 2006. "The output gap and the real interest rate gap in the euro area, 1960-2003," Journal of Policy Modeling, Elsevier, vol. 28(7), pages 775-790, October.
    2. Hang Qian, 2014. "A Flexible State Space Model And Its Applications," Journal of Time Series Analysis, Wiley Blackwell, vol. 35(2), pages 79-88, March.
    3. Qian, Hang, 2012. "A Flexible State Space Model and its Applications," MPRA Paper 38455, University Library of Munich, Germany.
    4. Harb, Nermeen & Hall, Stephen G., 2019. "Does foreign aid play a role in the maintenance of economic growth? A non-linear analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 73(C), pages 192-204.
    5. Bhatta, Guna Raj & Nepal, Rabindra & Harvie, Charles & Jayanthakumaran, Kankesu, 2022. "Testing for the uncovered interest parity condition in a small open economy: A state space modelling approach," Journal of Asian Economics, Elsevier, vol. 82(C).
    6. Michael Gordon, 2003. "Estimates of time-varying term premia for New Zealand and Australia," Reserve Bank of New Zealand Discussion Paper Series DP2003/06, Reserve Bank of New Zealand.
    7. Nils Björksten & Özer Karagedikli, 2003. "Neutral real interest rates revisited," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 66, pages 1-11, September.
    8. Arnildo Da Silva Correa & Sergio Afonso Lago Alves, 2016. "A Tale Of Three Gaps: Unemployment, Capacity Utilization And Output," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42nd Brazilian Economics Meeting] 031, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    9. Sergio Afonso Lago Alves & Angelo Marsiglia Fasolo, 2015. "Not Just Another Mixed Frequency Paper," Working Papers Series 400, Central Bank of Brazil, Research Department.

    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. Olivier Basdevant, 2003. "Learning process and rational expectations: an analysis using a small macroeconomic model for New Zealand," Reserve Bank of New Zealand Discussion Paper Series DP2003/05, Reserve Bank of New Zealand.
    2. Orphanides, Athanasios & Williams, John C., 2008. "Learning, expectations formation, and the pitfalls of optimal control monetary policy," Journal of Monetary Economics, Elsevier, vol. 55(Supplemen), pages 80-96, October.
    3. Kozicki, Sharon & Tinsley, P.A., 2005. "Permanent and transitory policy shocks in an empirical macro model with asymmetric information," Journal of Economic Dynamics and Control, Elsevier, vol. 29(11), pages 1985-2015, November.
    4. Fuhrer, Jeffrey C., 2010. "Inflation Persistence," Handbook of Monetary Economics, in: Benjamin M. Friedman & Michael Woodford (ed.), Handbook of Monetary Economics, edition 1, volume 3, chapter 9, pages 423-486, Elsevier.
    5. Basdevant, Olivier, 2005. "Learning process and rational expectations: An analysis using a small macro-economic model for New Zealand," Economic Modelling, Elsevier, vol. 22(6), pages 1074-1089, December.
    6. Croushore, Dean & Evans, Charles L., 2006. "Data revisions and the identification of monetary policy shocks," Journal of Monetary Economics, Elsevier, vol. 53(6), pages 1135-1160, September.
    7. Franck Sédillot, 2001. "La pente des taux contient-elle de l'information sur l'activité économique future ?," Economie & Prévision, La Documentation Française, vol. 147(1), pages 141-157.
    8. Aastveit, Knut Are & Trovik, Tørres, 2014. "Estimating the output gap in real time: A factor model approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(2), pages 180-193.
    9. Zirogiannis, Nikolaos & Tripodis, Yorghos, 2013. "A Generalized Dynamic Factor Model for Panel Data: Estimation with a Two-Cycle Conditional Expectation-Maximization Algorithm," Working Paper Series 142752, University of Massachusetts, Amherst, Department of Resource Economics.
    10. Schaling, Eric & Eijffinger, Sylvester & Tesfaselassie, Mewael, 2004. "Heterogenous information about the term structure, least-squares learning and optimal rules for inflation targeting," Research Discussion Papers 23/2004, Bank of Finland.
    11. Silvia Sgherri & Tamim Bayoumi, 2004. "Monetary Magic? How the Fed Improved the Supply Side of the Economy," Econometric Society 2004 Australasian Meetings 20, Econometric Society.
    12. Athanasios Orphanides & John C. Williams, 2007. "Inflation targeting under imperfect knowledge," Economic Review, Federal Reserve Bank of San Francisco, pages 1-23.
    13. Ang, Andrew & Piazzesi, Monika & Wei, Min, 2006. "What does the yield curve tell us about GDP growth?," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 359-403.
    14. Schaling, E., 2003. "Learning, Inflation Reduction and Optimal Monetary Policy," Discussion Paper 2003-74, Tilburg University, Center for Economic Research.
    15. Arturo Estrella & Anthony P. Rodrigues & Sebastian Schich, 2003. "How Stable is the Predictive Power of the Yield Curve? Evidence from Germany and the United States," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 629-644, August.
    16. Orphanides, Athanasios & Williams, John C., 2005. "The decline of activist stabilization policy: Natural rate misperceptions, learning, and expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 29(11), pages 1927-1950, November.
    17. Ma, Tao & Zhou, Zhou & Antoniou, Constantinos, 2018. "Dynamic factor model for network traffic state forecast," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 281-317.
    18. Dominique Pepin, 2010. "La BCE réagit-elle au prix des actifs financiers ?," Working Papers hal-00963626, HAL.
    19. Frank Smets, 1997. "Financial-asset Prices and Monetary Policy: Theory and Evidence," RBA Annual Conference Volume (Discontinued), in: Philip Lowe (ed.),Monetary Policy and Inflation Targeting, Reserve Bank of Australia.
    20. Grassi, Stefano & Proietti, Tommaso & Frale, Cecilia & Marcellino, Massimiliano & Mazzi, Gianluigi, 2015. "EuroMInd-C: A disaggregate monthly indicator of economic activity for the Euro area and member countries," International Journal of Forecasting, Elsevier, vol. 31(3), pages 712-738.

    More about this item

    JEL classification:

    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:nzb:nzbdps:2003/02. 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: Reserve Bank of New Zealand Knowledge Centre (email available below). General contact details of provider: https://edirc.repec.org/data/rbngvnz.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.