Forecasting aggregates using panels of nonlinear time series
Macroeconomic time series such as total unemployment or total industrial production concern data which are aggregated across regions, sectors, or age categories. In this paper we examine if forecasts for these aggregates can be improved by considering panel models for the disaggregate series. As many macroeconomic variables have nonlinear properties, we specifically focus on panels of nonlinear time series. We discuss the representation of such models, parameter estimation and a method to generate forecasts. We illustrate the usefulness of our approach for simulated data and for the US coincident index, making use of state-specific component series.
|Date of creation:||05 Nov 2004|
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- Dick Dijk & Philip Hans Franses, 2003.
"Selecting a Nonlinear Time Series Model using Weighted Tests of Equal Forecast Accuracy,"
Oxford Bulletin of Economics and Statistics,
Department of Economics, University of Oxford, vol. 65(s1), pages 727-744, December.
- van Dijk, D.J.C. & Franses, Ph.H.B.F., 2003. "Selecting a Nonlinear Time Series Model using Weighted Tests of Equal Forecast Accuracy," Econometric Institute Research Papers EI 2003-10, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Michael T. Owyang & Jeremy Piger & Howard J. Wall, 2005.
"Business Cycle Phases in U.S. States,"
The Review of Economics and Statistics,
MIT Press, vol. 87(4), pages 604-616, November.
- Theodore M. Crone & Alan Clayton-Matthews, 2004. "Consistent economic indexes for the 50 states," Working Papers 04-9, Federal Reserve Bank of Philadelphia.
- Dick van Dijk & Timo Terasvirta & Philip Hans Franses, 2002.
"Smooth Transition Autoregressive Models — A Survey Of Recent Developments,"
Taylor & Francis Journals, vol. 21(1), pages 1-47.
- van Dijk, D.J.C. & Terasvirta, T. & Franses, Ph.H.B.F., 2000. "Smooth transition autoregressive models - A survey of recent developments," Econometric Institute Research Papers EI 2000-23/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- van Dijk, Dick & Teräsvirta, Timo & Franses, Philip Hans, 2000. "Smooth Transition Autoregressive Models - A Survey of Recent Developments," SSE/EFI Working Paper Series in Economics and Finance 380, Stockholm School of Economics, revised 17 Jan 2001.
- Maximo Camacho, 2004. "Vector smooth transition regression models for US GDP and the composite index of leading indicators," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(3), pages 173-196.
- Marcelle Chauvet & Jeremy M. Piger, 2003.
"Identifying business cycle turning points in real time,"
Federal Reserve Bank of St. Louis, issue Mar, pages 47-61.
- Marcelle Chauvet & Jeremy M. Piger, 2002. "Identifying business cycle turning points in real time," FRB Atlanta Working Paper 2002-27, Federal Reserve Bank of Atlanta.
- A. Pagan & J. Engel & D. Haugh, 2004. "Some Methods for Assessing the Need for Non-linear Models in Business Cycle Analysis and Forecasting," Econometric Society 2004 Australasian Meetings 284, Econometric Society.
- Granger, Clive W. J. & Terasvirta, Timo, 1993. "Modelling Non-Linear Economic Relationships," OUP Catalogue, Oxford University Press, number 9780198773207, June.
- Clive Granger & Tae-Hwy Lee, 1999. "The effect of aggregation on nonlinearity," Econometric Reviews, Taylor & Francis Journals, vol. 18(3), pages 259-269.
- Pesaran, M. Hashem & Potter, Simon M., 1997.
"A floor and ceiling model of US output,"
Journal of Economic Dynamics and Control,
Elsevier, vol. 21(4-5), pages 661-695, May.
- Dick van Dijk & Dennis Fok & Philip Hans Franses, 2005. "A multi-level panel STAR model for US manufacturing sectors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(6), pages 811-827.
- Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119, June.
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