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UK Consumers’ Habits

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  • Ryan Banerjee
  • Nicoletta Batini

Abstract

We follow Fuhrer (2000) in estimating via Maximum Likelihood a log-linear consumption function on UK data. In doing so we consider various habit formation assumptions. We show that a model of purely “external” habits as in Fuhrer (2000) fits the UK data remarkably well, and possibly in a superior way than US data where, according to our estimates, consumers’ habits look more “internal” in that they appear indexed to past average consumption of only a subset of (peer) consumers in the economy, rather than total past per capita consumption. We also find that for about one seventh of UK consumers, current consumption equals current income_a strong violation of the permanent income hypothesis. Embedded in a sticky price-sticky inflation open-economy monetary model, the model that we estimate helps mimic the hump-shaped response of the output gap to income and interest rate shocks observed in the UK. Estimates of output Euler equations for the UK using a similar method agree with our general results. The consumption and output models that we estimate forecast significantly better than unrestricted open-economy VARs.

Suggested Citation

  • Ryan Banerjee & Nicoletta Batini, 2003. "UK Consumers’ Habits," Discussion Papers 13, Monetary Policy Committee Unit, Bank of England.
  • Handle: RePEc:mpc:wpaper:13
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    Cited by:

    1. Dibartolomeo, Giovanni & Rossi, Lorenza & Tancioni, Massimiliano, 2004. "Monetary Policy under Rule-of-Thumb Consumers and External Habits: An International Empirical Comparison," MPRA Paper 1094, University Library of Munich, Germany, revised Jun 2006.
    2. Giovanni Di Bartolomeo & Lorenza Rossi & Massimiliano Tancioni, 2007. "Monetary Policy, Rule-of-Thumb Consumers and External Habits: An International Comparison," Working Papers 0727, University of Crete, Department of Economics.
    3. Lavan Mahadeva & Alex Muscatelli, 2005. "National Accounts Revisions and Output Gap Estimates in a Model of Monetary Policy with Data Uncertainty," Discussion Papers 14, Monetary Policy Committee Unit, Bank of England.
    4. Flamini Alessandro, 2012. "Interest Rate Forecasts in Inflation Targeting Open-Economies," Economia politica, Società editrice il Mulino, issue 3, pages 381-408.
    5. Choudhary, M. Ali & Levine, Paul, 2006. "Idle worship," Economics Letters, Elsevier, vol. 90(1), pages 77-83, January.
    6. Nicoletta Batini & Paul Levine, 2004. "Robust Control Rules to Shield Against Indeterminacy," Computing in Economics and Finance 2004 339, Society for Computational Economics.
    7. Burgess, Stephen & Fernandez-Corugedo, Emilio & Groth, Charlotta & Harrison, Richard & Monti, Francesca & Theodoridis, Konstantinos & Waldron, Matt, 2013. "The Bank of England's forecasting platform: COMPASS, MAPS, EASE and the suite of models," Bank of England working papers 471, Bank of England.
    8. Furlanetto Francesco & Seneca Martin, 2009. "Fiscal Shocks and Real Rigidities," The B.E. Journal of Macroeconomics, De Gruyter, vol. 9(1), pages 1-33, February.
    9. Giovanni Di Bartolomeo & Lorenza Rossi & Massimiliano Tancioni, 2011. "Monetary policy, rule-of-thumb consumers and external habits: a G7 comparison," Applied Economics, Taylor & Francis Journals, vol. 43(21), pages 2721-2738.
    10. Alessandro Flamini & Costas Milas, 2014. "Open-economy Distribution Forecast Targeting, Macroeconomic Volatility and Financial Implication," DEM Working Papers Series 080, University of Pavia, Department of Economics and Management.
    11. Flamini, Alessandro, 2007. "Inflation targeting and exchange rate pass-through," Journal of International Money and Finance, Elsevier, vol. 26(7), pages 1113-1150, November.
    12. Bruno Ducoudre, 2008. "Structure par terme des taux d’intérêt et anticipations de la politique économique," Sciences Po publications info:hdl:2441/5221, Sciences Po.

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