Guidi, Francesco (2009): The economic effects of oil prices shocks on the UK manufacturing and services sector.
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This paper investigates the relationship between changes in oil prices and the UK’s manufacturing and services sector performances. Only a few studies have been conducted at the sector level: the goal of this paper is to contribute in that direction. After presenting review of existing literature about oil effects on the UK’s sectors of manufacturing and services, an econometric analysis is carried out. In a more detailed analysis, three sets of vector autoregressive (VAR) models are employed using linear and non-linear oil price specifications among several key macroeconomic variables. From the linear oil price specification VAR model, the impulse response function reveals that oil price movement causes positive effects in both the output of manufacturing and services sectors. The variance decomposition shows that oil prices are quite important as a cause of the variance of the UK services sector output, while they do not have such a large role in the variance of the UK’s manufacturing output. From the asymmetric specification, it has been found that positive oil price changes determine a consistent contraction in manufacturing output, while the services sector does not seem to be affected by increases. Alternatively, negative oil price changes, show that manufacturing output does not increase so much despite a decrease in oil prices. The services sector is much more affected by oil prices decreases than increases. Finally considering the net oil price increase (NOPI) specification, it has been found that the manufacturing sector is much more affected by oil price changes than the services sector.
|Item Type:||MPRA Paper|
|Original Title:||The economic effects of oil prices shocks on the UK manufacturing and services sector|
|Keywords:||Oil shock; VAR; impulse response function; variance decomposition;|
|Subjects:||C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C32 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes ; State Space Models
L - Industrial Organization > L1 - Market Structure, Firm Strategy, and Market Performance > L16 - Industrial Organization and Macroeconomics: Industrial Structure and Structural Change ; Industrial Price Indices
|Depositing User:||Francesco Guidi|
|Date Deposited:||12. Jul 2009 16:06|
|Last Modified:||14. Mar 2015 16:50|
Barrel, R. and Pommerantz, O. (2004). Oil prices and the World Economy, NIESER, Working Paper, No. 242, London.
Barsky, R.B. and Kilian, L. (2004). Oil and the Macroeconomy since the 1970s, The Journal of Economic Perspectives, 18(4), 115-134.
Bean, C. (1987). The impact of North Sea Oil, in Dornbush R. and Layard R. (eds), The performance of the British Economy, Oxford, Clarendon Press.
Bean, C. (1988). Real Wage Rigidity and the Effect of an Oil Discovery, Oxford Economic Papers, New Series, 40(3), 451-462.
Becker, R. and Osborn, R.D. (2005). VAR Process, University of Manchester, unpublished work.
Bjørnland, H. C. (1998). The economic effects of North Sea oil on the manufacturing sector, Scottish Journal of Political Economy, 45(5), 553-584.
Bjørnland, H. C. (2000). The dynamics effects of aggregate demand, supply and oil prices shocks – a comparative study, The Manchester School, 68(5), 578-607.
Buiter, W. and Miller, M. (1981). The Thatcher Experiment: The First Two Years, Brookings paper on Economic Activity, 2, 315-379.
Buiter, W., Miller, M., Sachs, J.D. and Branson, W.H. (1983). Changing the Rules: Economic consequences of the Thatcher Regime, Brookings Papers on Economic Activity, 2, 305-379.
British Petroleum (2007): http://www.bp.com/multipleimagesection.do? categoryId=9017892&contentId=7033503, July 12, 2007
Corden, W. (1981). The Exchange Rate, Monetary Policy and North Sea oil: the Economic Theory of the Squeeze on Tradables, Oxford Economic papers, 33(1), 23-46.
Corden, W. and Neary, J. (1982). Booming Sector and De-industrialisation in a Small Open Economy, The Economic Journal, 92(368), 825-848.
Corden, W. (1984). Booming Sector and Dutch Disease Economics: Survey and Consolidation, Oxford Economic Papers, 36(3), 359-380.
Darby, M.R. (1982). The price of Oil and World Inflation and Recession, The American Economic Review, 72(4), 738-751.
Dickey, D. and Fuller, W. (1979). Distribution of the estimators for autoregressive time series with a unit root, Journal of the American Statistical Association, 74, 427-431.
Dickey, D. and Fuller, W. (1981). Likelihood Ratio Tests for Autoregressive Time Series with a Unit Root, Econometrica, 49, 1057-1072.
Eastwood, R. and Venables, A. (1982). The Macroeconomic Implications of a Resource Discovery in an Open Economy, Economic Journal, 92(366), 285-299.
Ellman, M. (1981). Natural Gas, Restructuring and Re-industrialisation: The Dutch Experience of Industrial policy, in Baker, T. and Brailovsky, V. (1981), Oil or Industry?, London, Academic Press.
Enders, W. (2004). Applied Econometric Time Series, Wiley & Sons, 2nd Edition, Hoboken, New Jersey.
Forsyth, P. and Kay, J. (1980). The economic Implications of North Sea oil Revenues, Fiscal Studies, 1, 1-28.
Forsyth, P. and Kay, J. (1981). Oil Revenues and manufacturing Output, Fiscal Studies, 2, 9-17.
Greene, W.H. (2003). Econometric Analysis, Prentice Hall. 5th Edition, New Jersey.
Hamilton, J.D. (1994). Time Series Analysis, Princeton University Press, Princeton, New Jersey.
Hamilton, J. D. (1996). This is what happened to the oil price-macroeconomy relationship, Journal of Monetary Economics, 38(2), 215-220.
Herrera, A.M. and Pesavento, E. (2007). Oil Price Shocks, Systematic Monetary Policy and the Great Moderation, Michigan State University, unpublished manuscript.
Hunt, B., Isard, P. and Laxton, D. (2002). The macroeconomic effects of higher oil prices, National Institute Economic Review, 179, 87-103.
Hutchison, M.M. (1994). Manufacturing Sector resiliency to energy booms: empirical evidence from Norway, the Netherlands, and the United Kingdom, Oxford Economic Paper, 46(2), 311-329.
Jimenez-Rodriguez, R. and Sanchez, M. (2004). Oil Price Shocks and Real GDP Growth. Empirical Evidence from OECD Countries, Working Paper No. 362, European Central Bank.
Keane, M.P. and Prasad, E.S. (1996). The employment and wage effects of oil prices changes: a sectoral analysis, Review of Economics and Statistics, 78(3), 389-400.
Lutkepohl, H. (1990). Asymptotic Distributions of Impulse Response Functions and Forecast Error Variance Decompositions of Vector Autoregressive Models., The Review of Economics and Statistics, 72(1), 139-150.
Maddala, G.S. (2001). Introduction to Econometrics, 3rd Edition, John Wiley & Sons, Chichester, West Sussex.
Mork, K.A. (1989). Oil and the Macroeconomy when prices go up and down: an extension of Hamilton ‘s results”, Journal of Political Economy, 97(3), 740-744.
Osborn, R.D. and Becker, R. (2005): VAR Process, University of Manchester, unpublished work.
Oxford Economic Forecasting (2007). http://www.manufacturingtalk.com/news/oxf/oxf000.html, July 12, 2007.
Phillips, P. and Perron, P. (1988). Testing for a Unit Root in Time Series Regression, Biometrika, 75, 335-346.
Rose, D., Vogler C., Marshall, G. and Nowby, H. (1984). Economic Restructuring: The British Experience, Annals of the American Academy of Political and Social Science, 475(1), 137-157.
Sims, C.A. (1980). Macroeconomics and reality, Econometrica, 48(1), 1-48.