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Introducing KITT: The Reserve Bank of New Zealand new DSGE model for forecasting and policy design

Author

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  • Kirdan Lees

    (Reserve Bank of New Zealand)

Abstract

The Reserve Bank of New Zealand has developed a new core macroeconomic model to replace the existing FPS (Forecasting and Policy System) model. KITT (Kiwi Inflation Targeting Technology), the new model, advances our modelling towards the frontier in terms of both theory and empirics. KITT reconfirms the Reserve Bank’s commitment to having a theoretically well-founded model at the heart of the monetary policy process. This article provides context about the reasons for the move to the new model, and an overview of the model itself. KITT builds a rich picture of the macroeconomic economy from specific assumptions about the microeconomic behaviour of households and firms that interact in several goods markets. The article illustrates the structure of the model, how this structure determines the way in which shocks or unexpected events propagate through the economy, and the role of the model in the forecast process.

Suggested Citation

  • Kirdan Lees, 2009. "Introducing KITT: The Reserve Bank of New Zealand new DSGE model for forecasting and policy design," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 72, pages 5-20, June.
  • Handle: RePEc:nzb:nzbbul:june2009:2
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    File URL: http://www.rbnz.govt.nz/-/media/ReserveBank/Files/Publications/Bulletins/2009/2009jun72-2lees.pdf
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    Cited by:

    1. Julien Albertini & Güneş Kamber & Michael Kirker, 2012. "Estimated Small Open Economy Model With Frictional Unemployment," Pacific Economic Review, Wiley Blackwell, vol. 17(2), pages 326-353, May.
    2. Caputo, Rodrigo & Herrera, Luis Oscar, 2017. "Following the leader? The relevance of the Fed funds rate for inflation targeting countries," Journal of International Money and Finance, Elsevier, vol. 71(C), pages 25-52.
    3. Fuentes H., Fernando & García, Carlos J., 2016. "The business cycle and copper mining in Chile," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), April.
    4. Kamber, Gunes & McDonald, Chris & Sander, Nick & Theodoridis, Konstantinos, 2016. "Modelling the business cycle of a small open economy: The Reserve Bank of New Zealand's DSGE model," Economic Modelling, Elsevier, vol. 59(C), pages 546-569.
    5. Neroli Austin & Geordie Reid, 2017. "NZSIM: A model of the New Zealand economy for forecasting and policy analysis," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 80, pages 1-14, January.
    6. Chris Bloor, 2009. "The use of statistical forecasting models at the Reserve Bank of New Zealand," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 72, pages 21-26, June.
    7. Francesco Sergi, 2015. "L'histoire (faussement) naïve des modèles DSGE," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01222798, HAL.
    8. Jan Vlcek & Scott Roger, 2012. "Macrofinancial Modeling At Central Banks; Recent Developments and Future Directions," IMF Working Papers 12/21, International Monetary Fund.
    9. Güneş Kamber & Chris McDonald & Nicholas Sander & Konstantinos Theodoridis, 2015. "A structural model for policy analysis and forecasting: NZSIM," Reserve Bank of New Zealand Discussion Paper Series DP2015/05, Reserve Bank of New Zealand.
    10. Markus Kirchner & Rodrigo Tranamil, 2016. "Calvo Wages Vs. Search Frictions: a Horse Race in a DSGE Model of a Small Open Economy," Working Papers Central Bank of Chile 778, Central Bank of Chile.
    11. Francesco Sergi, 2015. "L'histoire (faussement) naïve des modèles DSGE," Documents de travail du Centre d'Economie de la Sorbonne 15066, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    12. Isaac Gross & James Hansen, 2013. "Reserves of Natural Resources in a Small Open Economy," RBA Research Discussion Papers rdp2013-14, Reserve Bank of Australia.

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