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MODELLING STATE-CONTINGENT FISCAL RULES IN THE UNITED KINGDOM

Published online by Cambridge University Press:  03 November 2020

Jamie Rush
Jamie Rush*
Affiliation:
Chief Europe Economist, Bloomberg. E-mail: sendtorush@gmail.com.
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Abstract

I assess a novel rule that was introduced in the UK in 2015. It gave the British government fiscal flexibility whenever GDP growth warranted it. This rule lasted just a year, but it had features worth exploring. I apply solution methods for models with occasionally-binding constraints to assess the demand stabilisation properties of state-contingent fiscal rules. First it is shown that fiscal flexibility can make recessions shallower. Second, it is suggested that GDP growth, rather than measures of the output gap, is a better indicator for triggering fiscal flexibility.

Keywords

linear perturbationfiscal impact multiplierDSGEmonetary policyfiscal policy macroeconomicsE62E63E37
Type
Research Article
Information
National Institute Economic Review , Volume 254 , November 2020 , pp. R41 - R53
Copyright
© National Institute of Economic and Social Research, 2020

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Footnotes

The author would like to thank referees for their comments on this paper.

References

REFERENCES

Alichi, A., Bizimana, O., Laxton, M.D., Tanyeri, K., Wang, H., Yao, J. and Zhang, F. (2017), ‘Multivariate filter estimation of potential output for the United States’, IMF working paper WP/17/106, May.CrossRefGoogle Scholar
Auerbach, A. and Gorodnichenko, Y. (2011), ‘Fiscal multipliers in recession and expansion, NBER Working Paper No. 17447.Google Scholar
Batini, N. and Haldane, A. (1999), Monetary Policy Rules, Chicago Press, pp. 157–202.Google Scholar
Beneš, J., Clinton, K., Garćıa-Saltos, R., Johnson, M., Laxton, D., Manchev, P. and Matheson, T. (2010), ‘Estimating potential output with a multivariate filter, International Monetary Fund, Working Paper 10/285.CrossRefGoogle Scholar
Bhattarai, S. and Egorov, K. (2016), ‘Optimal monetary and fiscal policy at the zero lower bound in a small open economy’, Dallas Fed Working Paper, no. 260.Google Scholar
Blagrave, P., Garćia-Saltos, R., Laxton, D. and Zhang, F. (2015), ‘A simple multivariate filter for estimating potential output’, International Monetary Fund, Working Paper 15/79.CrossRefGoogle Scholar
Blanchard, O.J. and Leigh, D. (2013), ‘Growth forecast errors and fiscal multipliers, American Economic Review, 103, pp. 117–20.CrossRefGoogle Scholar
Carney, M. (2017), ‘Lambda’, speech given at the London School of Economics, 16 January.Google Scholar
Cesa-Bianchi, A., Thwaites, G. and Vicondoa, A. (2016), ‘ Monetary policy transmission in an open economy: new data and evidence from the United Kingdom’, Bank of England Working Paper 615.Google Scholar
Claveres, G., Stráský, J. (2018), ‘Stabilising the Euro Area through unemployment benefits re-insurance scheme’, OECD Economics Department Working Papers, No. 1497, Paris, OECD.Google Scholar
Del Negro, M. and Schorfheide, F. (2012), ‘DSGE Model-Based Forecasting’, Handbook of Economic Forecasting volume 2.Google Scholar
Égert, B. (2015), ‘Public debt, economic growth and nonlinear effects, myth or reality, Journal of Macroeconomics, 43, pp. 226–38.CrossRefGoogle Scholar
Fernández-Villaverde, J., Gordon, G., Guerrón-Quintana, P. and Rubio-Ramirez, J.F. (2015), ‘Fiscal volatility shocks and economic activity’, American Economic Review, 105,11, pp. 3352–84.CrossRefGoogle Scholar
Flotho, S. (2018), ‘Interaction of fiscal and monetary policy in a monetary union under the zero lower bound constraint’, Annals of Operations Research, 260, 159.CrossRefGoogle Scholar
Fuhrer, J.C. (2000), ‘Habit formation in consumption and its implications for monetary-policy models, American Economic Review, 90, 3, pp. 367–90CrossRefGoogle Scholar
Giacomini, R. (2013), ‘The relationship between DSGE and VAR models’, CeMMAP working papers, CWP21/13.CrossRefGoogle Scholar
Guerrieri, L. and Iacoviello, M. (2015), ‘OccBin: A toolkit for solving dynamic models with occasionally binding constraints easily’, Journal of Monetary Economics, 70, pp. 22–38.CrossRefGoogle Scholar
Guerrieri, L. (2017), ‘Collateral constraints and macroeconomic asymmetries’, Journal of Monetary Economics, 90, pp. 28–49.Google Scholar
Treasury, HM (2015), Charter for Budget Responsibility, Autumn 2015 update, The Stationery Office.Google Scholar
Treasury, HM (2016), Charter for Budget Responsibility, Autumn 2016 update, The Stationery Office.Google Scholar
Haug, A. (2016), ‘A new test of Ricardian equivalence using the narrative record on tax changes’, MPRA Paper no. 75452.Google Scholar
Hayo, B. and Neumeier, F. (2017), ‘The (in)validity of the Ricardian equivalence theorem–findings from a representative German population survey’, Journal of Macroeconomics, 51, pp. 162–74.CrossRefGoogle Scholar
Helgadottir, T., Chamberlin, G., Dhami, P., Farrington, S. and Robins, J. (2012), ‘Cyclically adjusting the public finances’, OBR Working Paper No. 3, June 2012.Google Scholar
Hodrick, R.J. and Prescott, E.C. (1997), ‘Postwar U.S. business cycles: an empirical investigation’, Journal of Money, Credit, and Banking, 29, 1, pp. 1–16.CrossRefGoogle Scholar
Kalman, R.E. (1960), ‘A new approach to linear filtering and prediction problems’, Journal of Basic Engineering, 82, pp. 35–45.CrossRefGoogle Scholar
Laxton, D. and Tetlow, R. (1992), ‘A simple multivariate filter for the measurement of potential output’, Technical Report no. 59, Bank of Canada, Ottawa.Google Scholar
Murray, J. (2012), ‘A small model of the UK economy’, Office for Budget Responsibility, Working Paper No 4.Google Scholar
Murray, J. (2013), ‘Parameter uncertainty and the fiscal multiplier’, Treasury Working Paper 13/19.Google Scholar
Murray, J. (2014), ‘Output gap measure, judgement and uncertainty’, Office for Budget Responsibility Working Paper No. 5Google Scholar
Nickell, S. (2006), ‘The Budget of 1981 was over the top’, Bank of England Speech, Institute of Economic Affairs.Google Scholar
OBR (2010), Budget Forecast, The Stationery Office, June.Google Scholar
OBR (2015), Economic and Fiscal Outlook, The Stationery Office, July.Google Scholar
Orphanides, A. and Norden, S.V. (2002), ‘The unreliability of output gap estimates in real time’, Review of Economics and Statistics, vol LXXXIV, no. 4.Google Scholar
Reinhart, C.M. and Rogoff, K.S. (2010), ‘Growth in a time of debt’, American Economic Review, 100, pp. 573–7.CrossRefGoogle Scholar
Rogoff, K. (1996), ‘The purchasing power parity puzzle’, Journal of Economic Literature, 34, 2, June, pp. 647–68.Google Scholar
Romer, C.D. and Romer, D.H. (2010), ‘The macroeconomic effects of tax changes: estimates based on a new measure of fiscal shocks’, American Economic Review, 100, 3, pp. 763–801.CrossRefGoogle Scholar
Shapiro, M. and Watson, M. (1988), ‘Sources of business cycle fluctuations’, NBER Working Papers, 2589.CrossRefGoogle Scholar
Smets, F. and Wouters, R. (2003), ‘An esstimated dynamic stochastic general equilibrium model of othe Euro Area’, Journal of the European Economic Association, 1, pp. 1123–75.CrossRefGoogle Scholar