Short-term Forecasting Methods Based on the LEI Approach: The Case of the Czech Republic
This paper is aimed at developing short-term forecasting methods based on the LEI (leading economic indicators) approach. We use a set of econometric models (PCA, SURE) that provide estimates of GDP growth for the Czech economy for a co-incident quarter and a few quarters ahead. These models exploit monthly or quarterly indicators such as business surveys, financial or labour market indicators, monetary aggregates, interest rates and spreads, etc. that become available before the release of data on GDP growth itself. Our tests show that the LEIs provide relatively accurate forecasts of GDP fluctuations in the short run.
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- Elena Angelini & Jérôme Henry & Ricardo Mestre, 2001.
"Diffusion index-based inflation forecasts for the euro area,"
BIS Papers chapters,in: Bank for International Settlements (ed.), Empirical studies of structural changes and inflation, volume 3, pages 109-138
Bank for International Settlements.
- Angelini, Elena & Henry, Jérôme & Mestre, Ricardo, 2001. "Diffusion index-based inflation forecasts for the euro area," Working Paper Series 0061, European Central Bank.
- Zarnowitz, Victor & Ozyildirim, Ataman, 2006. "Time series decomposition and measurement of business cycles, trends and growth cycles," Journal of Monetary Economics, Elsevier, vol. 53(7), pages 1717-1739, October.
- Victor Zarnowitz & Ataman Ozyildirim, 2001. "Time Series Decomposition and Measurement of Business Cycles, Trends and Growth Cycles," Economics Program Working Papers 01-03, The Conference Board, Economics Program.
- Victor Zarnowitz & Ataman Ozyildirim, 2002. "Time Series Decomposition and Measurement of Business Cycles, Trends and Growth Cycles," NBER Working Papers 8736, National Bureau of Economic Research, Inc.
- Philip A. Klein & Geoffrey H. Moore, 1982. "The Leading Indicator Approach to Economic Forecasting--Retrospect and Prospect," NBER Working Papers 0941, National Bureau of Economic Research, Inc.
- Christian Schumacher, 2007. "Forecasting German GDP using alternative factor models based on large datasets," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(4), pages 271-302.
- Schumacher, Christian, 2005. "Forecasting German GDP using alternative factor models based on large datasets," Discussion Paper Series 1: Economic Studies 2005,24, Deutsche Bundesbank, Research Centre.
- Victor Zarnowitz, 1973. "A Review of Cyclical Indicators for the United States: Preliminary Results," NBER Working Papers 0006, National Bureau of Economic Research, Inc.
- Stock, James H & Watson, Mark W, 2002. "Macroeconomic Forecasting Using Diffusion Indexes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 147-162, April.
- James H. Stock & Mark W. Watson, 1989. "New Indexes of Coincident and Leading Economic Indicators," NBER Chapters,in: NBER Macroeconomics Annual 1989, Volume 4, pages 351-409 National Bureau of Economic Research, Inc.
- Stock, J.H. & Watson, M.W., 1989. "New Indexes Of Coincident And Leading Economic Indicators," Papers 178d, Harvard - J.F. Kennedy School of Government.
- Beatrice N. Vaccara & Victor Zarnowitz, 1978. "Forecasting with the Index of Leading Indicators," NBER Working Papers 0244, National Bureau of Economic Research, Inc.
- Neftici, Salih N., 1982. "Optimal prediction of cyclical downturns," Journal of Economic Dynamics and Control, Elsevier, vol. 4(1), pages 225-241, November. Full references (including those not matched with items on IDEAS)