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Forecasting seasonal UK consumption components

By Michael P. Clements and Jeremy Smith


Periodic models for seasonal data allow the parameters of the model to vary across the different seasons. This paper uses the components of UK consumption to see whether the periodic autoregressive (PAR) model yields more accurate forecasts than non-periodic models, such as the airline model of Box and Jenkins (1970), and autoregressive models that pre-test for (seasonal) unit roots. We analyse possible explanations for the relatively poor forecast performance of the periodic models that we find, notwithstanding the apparent support such models receive from the data in-sample

Topics: HB, DA
Publisher: University of Warwick, Department of Economics
Year: 1997
OAI identifier: oai:wrap.warwick.ac.uk:1662

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  5. D.F.(1996). Interceptcorrections andstructuralchange.
  6. (1980). Efficient tests for normality, homoscedasticity and serial independence of regression residuals. doi
  7. (1978). Estimating the dimension of a model. doi
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  9. (1980). Hidden periodic autoregressive-moving average models in time series data. doi
  10. (1994). Model selection in periodic autoregressions. doi
  11. (1994). Model selection strategies for time series with increasing sea-21 sonal variation. revised version of Econometric Institute
  12. (1997). On the practical problems of computing seasonal unit root tests. doi
  13. (1996). Periodicity and Stochastic Trends in Economic Time Series. doi
  14. (1990). Seasonal integration and cointegration. doi
  15. (1988). Seasonality and habit persistence in a life cycle model of consumption. doi
  16. (1993). Seasonality in macroeconomic time series. doi
  17. (1996). Spurious periodic autoregressions. Mimeo, Dipartimento di Scienze Statistiche, Universit` a di Perugia.
  18. (1997). Structural breaks and seasonal integration. doi
  19. (1978). Testing for higher order serial correlation in regression equations when the regressors include lagged dependent variables. doi
  20. (1995). Testing for seasonal unit roots in the presence of changing seasonal means. Econometric Institute Report 9532,
  21. (1995). Testing nested and non-nested periodically integrated autoregressive models. doi
  22. (1993). Tests for parameter instability and structural change with unknown change point. doi
  23. (1969). Tests for specification errors in classical linear least squares regression analysis.
  24. (1989). The great crash, the oil price shock and the unit root hypothesis. doi
  25. (1995). The impact of empirical accuracy studies on time series analysis and forecasting. doi
  26. Theperformance ofperiodic autoregressive models inforecasting seasonal UK consumption.
  27. (1970). Time Series Analysis, Forecasting and Control. doi
  28. (1996). Unit roots in periodic autoregressions. doi

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