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Using estimated models to assess nominal and real rigidities in the United Kingdom

Author

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  • Kamber, Gunes

    (Reserve Bank of New Zealand)

  • Millard, Stephen

    (Bank of England)

Abstract

This paper aims to contribute to our understanding of inflation dynamics in the United Kingdom by estimating two dynamic stochastic general equilibrium models and assessing the role of nominal and real rigidities within them. We first obtain an empirical representation of the monetary transmission mechanism in the United Kingdom and then estimate the models by minimising the difference between this representation and its model equivalents. We find that both models can explain the data reasonably well without relying on undue amounts of price and wage stickiness.

Suggested Citation

  • Kamber, Gunes & Millard, Stephen, 2010. "Using estimated models to assess nominal and real rigidities in the United Kingdom," Bank of England working papers 396, Bank of England.
    • Handle: RePEc:boe:boeewp:0396
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    References listed on IDEAS

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    Cited by:

    1. Huw Dixon & Hervé Le Bihan, 2012. "Generalised Taylor and Generalised Calvo Price and Wage Setting: Micro‐evidence with Macro Implications," Economic Journal, Royal Economic Society, vol. 122(560), pages 532-554, May.
    2. 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.
    3. Muhammad Ali Nasir & Milton Yago & Alaa M. Soliman & Junjie Wu, 2016. "Financial stability, wealth effects and optimal macroeconomic policy combination in the United Kingdom: A new-Keynesian dynamic stochastic general equilibrium framework," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1136098-113, December.
    4. Gábor Pintér, 2019. "House Prices and Job Losses," The Economic Journal, Royal Economic Society, vol. 129(618), pages 991-1013.
    5. Giovanni Di Bartolomeo & Marco Di Pietro, 2017. "Intrinsic Persistence of Wage Inflation in New Keynesian Models of the Business Cycles," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(6), pages 1161-1195, September.
    6. Georgiadis, Georgios & Jančoková, Martina, 2020. "Financial globalisation, monetary policy spillovers and macro-modelling: Tales from 1001 shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 121(C).
    7. Millard, Stephen, 2011. "An estimated DSGE model of energy, costs and inflation in the United Kingdom," Bank of England working papers 432, Bank of England.
    8. Nasir Aminu, 2018. "Evaluation of a DSGE Model of Energy in the United Kingdom Using Stationary Data," Computational Economics, Springer;Society for Computational Economics, vol. 51(4), pages 1033-1068, April.
    9. Aminu, Nasir & Meenagh, David & Minford, Patrick, 2018. "The role of energy prices in the Great Recession — A two-sector model with unfiltered data," Energy Economics, Elsevier, vol. 71(C), pages 14-34.
    10. Dixon Huw, 2012. "A Unified Framework for Using Micro-Data to Compare Dynamic Time-Dependent Price-Setting Models," The B.E. Journal of Macroeconomics, De Gruyter, vol. 12(1), pages 1-45, July.
    11. Millard, Stephen, 2015. "The Great Recession and the UK labour market," Bank of England working papers 566, Bank of England.

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    More about this item

    Keywords

    Minimum distance estimation; DSGE models; Nominal and real rigidities;
    All these keywords.

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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