Up Around the Bend: Linear and nonlinear models of the UK economy compared
AbstractA variety of methods - including vector autoregression (Bayesian and nonBayesian) and neural networks - are used to construct models of the UK economy, and their forecasting performance is compared.
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Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal International Review of Applied Economics.
Volume (Year): 14 (2000)
Issue (Month): 4 ()
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- Hill, Tim & Marquez, Leorey & O'Connor, Marcus & Remus, William, 1994. "Artificial neural network models for forecasting and decision making," International Journal of Forecasting, Elsevier, vol. 10(1), pages 5-15, June.
- Geraint Johnes, 1999. "Forecasting unemployment," Applied Economics Letters, Taylor & Francis Journals, vol. 6(9), pages 605-607.
- Swanson, Norman R. & White, Halbert, 1997. "Forecasting economic time series using flexible versus fixed specification and linear versus nonlinear econometric models," International Journal of Forecasting, Elsevier, vol. 13(4), pages 439-461, December.
- M. A. Salisu & V. N. Balasubramanyam, 1997. "Income and price elasticities of demand for alcoholic drinks," Applied Economics Letters, Taylor & Francis Journals, vol. 4(4), pages 247-251.
- Mills, Terence C, 1991. " Nonlinear Time Series Models in Economics," Journal of Economic Surveys, Wiley Blackwell, vol. 5(3), pages 215-42.
- Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
- Haefke, Christian & Helmenstein, Christian, 1995. "Forecasting Austrian IPOs: An Application of Linear and Neural Network Error-Correction Models," Economics Series 18, Institute for Advanced Studies.
- Holden, K. & Broomhead, A., 1990. "An examination of vector autoregressive forecasts for the U.K. economy," International Journal of Forecasting, Elsevier, vol. 6(1), pages 11-23.
- Fildes, Robert, 1992. "The evaluation of extrapolative forecasting methods," International Journal of Forecasting, Elsevier, vol. 8(1), pages 81-98, June.
- Hackl, Peter & Westlund, Anders H., 1996. "Demand for international telecommunication time-varying price elasticity," Journal of Econometrics, Elsevier, vol. 70(1), pages 243-260, January.
- Peter Young, 1999. "Recursive and en-bloc approaches to signal extraction," Journal of Applied Statistics, Taylor & Francis Journals, vol. 26(1), pages 103-128.
- Osborn, Denise R, et al, 1988. "Seasonality and the Order of Integration for Consumption," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 50(4), pages 361-77, November.
- Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
- repec:lan:wpaper:4535 is not listed on IDEAS
- repec:lan:wpaper:4407 is not listed on IDEAS
- repec:lan:wpaper:4839 is not listed on IDEAS
- Jane Binner & Rakesh Bissoondeeal & Thomas Elger & Alicia Gazely & Andrew Mullineux, 2005. "A comparison of linear forecasting models and neural networks: an application to Euro inflation and Euro Divisia," Applied Economics, Taylor & Francis Journals, vol. 37(6), pages 665-680.
- repec:lan:wpaper:4408 is not listed on IDEAS
- G Johnes, 2005. "Skills and earnings revisited," Working Papers 573993, Lancaster University Management School, Economics Department.
- G Johnes, 2003. "Curriculum," Working Papers 541985, Lancaster University Management School, Economics Department.
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