Quality & Quantity

, Volume 53, Issue 1, pp 247–267 | Cite as

Pre and post effects of Brexit polling on United Kingdom economy: an econometrics analysis of transactional change

  • Muhammad JawadEmail author
  • Munazza Naz


The prospective through which United Kingdom (England, Scotland, Wales and Northern Ireland) voted in a referendum to Leave the European Union is known as Brexit. In this research, we discuss the effects of Brexit on United Kingdom economy and to accomplish this task, we have analysed the Pre-Brexit Polling and Post-Brexit Polling economic data and indicators. Different econometric tests are used for analysis and coefficient’s estimation. Three key economic variables are used: Exchange Rate (US dollar to GB Pound), Gold Price and Oil Price. These key variables are famous due to their volatile nature and thus play an important role in the economic growth. The analyses define distinguish effect in coefficients, elements, shocks and attributes on United Kingdom economy by these three key variables in the time frame of Pre and Post Brexit polling.


Brexit Pre and post polling effect United Kingdom economy Econometrics Transactional change 


  1. Dickey, D.A., Fuller, W.A.: Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica 49(4), 1057–1072 (1981)CrossRefGoogle Scholar
  2. Engle, R.F., Lee, G.J.: A long run and short run component model of stock return volatility. In: Engle, R.F., White, H. (eds.) Cointegration, Causality and Forecasting: A Festschrift in Honour of Clive W. J. Granger, pp. 475–497. Oxford University Press, Oxford (1999)Google Scholar
  3. Fanchon, P., Wendel, J.: Estimating VAR models under non-stationarity and cointegration: alternative approaches for forecasting cattle prices. Appl. Econ. 24, 207–217 (1992)CrossRefGoogle Scholar
  4. Granger, C.W.J.: Investigating causal relations by econometric methods and cross spectral methods. Econometrica 34, 424–438 (1969)CrossRefGoogle Scholar
  5. Hantrais, L. (2017). The Social Dimension in EU and UK Policy Development: Shaping the Post-Brexit Legacy. Working Paper CIS/2017/04, Centre for International Studies London School of EconomicsGoogle Scholar
  6. Johansen, S.: Statistical analysis of cointegrated vectors. J. Econ. Dyn. Control 12(213), 231–254 (1988)CrossRefGoogle Scholar
  7. Johansen, S., Juselius, K.: Maximum likelihood estimation and inference on cointegration with applications to the demand for money. Oxford Bull. Econ. Stat. 52(2), 169–210 (1990)CrossRefGoogle Scholar
  8. Kuper, G., van Soest, D.: Does oil price uncertainty affect energy use? Energy J. 27, 55–78 (2006)CrossRefGoogle Scholar
  9. Kwiatkowski, D., Phillips, P.C.B., Schmidt, P., Shin, Y.: Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that economic time series have a unit root?. J. Econ. 54, 159–78 (1992)CrossRefGoogle Scholar
  10. Ng, H., Lam, K.P.: How does the sample size affect GARCH models? In: Proceedings of the Joint Conference on Information Sciences (2006)Google Scholar
  11. Phillips, P.C.B., Perron, P.: Testing for a unit root in time series regression. Biometrika 75(2), 335–346 (1988)CrossRefGoogle Scholar
  12. Walker, N.: Brexit timeline: events leading to the UK’s exit from the European Union. Briefing Paper Number 07960, House of Commons Library (2017)Google Scholar

Copyright information

© Springer Science+Business Media B.V., part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of EconomicsUniversity of YorkYorkUK
  2. 2.Department of MathematicsUniversity of YorkYorkUK

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