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Estimating Monthly GDP In A General Kalman Filter Framework: Evidence From Switzerland

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Author Info
Nicolas A. Cuche () (University of Lausanne and Studienzentrum Gerzensee)
Martin K. Hess () (University of Bern and Studienzentrum Gerzensee)

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Abstract

In this paper, we estimate deseasonalized monthly series for Swiss Gross Domestic Product at constant prices of 1990 for the period 1980-1998. They are consistent with the quarterly figures estimated by the Federal Office for Economic Development and Labour and are obtained by including information contained in related series. We present a general approach using the Kalman Filter technique nesting a great variety of interpolation setups. We evaluate competing models and provide a time series that can be used by other researchers.

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Publisher Info
Paper provided by Swiss National Bank, Study Center Gerzensee in its series Working Papers with number 99.02.

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Length: 37 pages
Date of creation: Mar 1999
Date of revision:
Handle: RePEc:szg:worpap:9902

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Related research
Keywords: Interpolation; Kalman filter; National accounting.;

Find related papers by JEL classification:
E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Robert B. Litterman, 1983. "A random walk, Markov model for the distribution of time series," Staff Report 84, Federal Reserve Bank of Minneapolis. [Downloadable!]
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  2. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-80, November. [Downloadable!] (restricted)
  3. Fernandez, Roque B, 1981. "A Methodological Note on the Estimation of Time Series," The Review of Economics and Statistics, MIT Press, vol. 63(3), pages 471-76, August. [Downloadable!] (restricted)
  4. Masanao Aoki & Arthur Havenner, 1991. "State space modeling of multiple time series," Econometric Reviews, Taylor and Francis Journals, vol. 10(1), pages 1-59. [Downloadable!] (restricted)
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Araújo, E, 2004. "Avaliando Três Especificações para o Fator de Desconto Estocástico através da Fronteira de Volatilidade de Hansen e Jagannathan: Um Estudo Empirico para o Brasil," Ibmec Working Papers wpe_42, Ibmec Working Paper, Ibmec São Paulo. [Downloadable!]
  2. Gevorgyan Ruben & Melikyan Narine, 2004. "Missing Data Problem and the Empirical Yield Curve Analysis. An Example of T-bills Market in Armenia," EERC Working Paper Series 04-03e, EERC Research Network, Russia and CIS. [Downloadable!]
  3. Byeongchan Seong & Sung K. Ahn & Peter A. Zadrozny, 2007. "Cointegration Analysis with Mixed-Frequency Data," CESifo Working Paper Series CESifo Working Paper No. , CESifo Group Munich. [Downloadable!]
  4. Konstantins Benkovskis, 2008. "Short-Term Forecasts of Latvia's Real Gross Domestic Product Growth Using Monthly Indicators," Working Papers 2008/05, Latvijas Banka. [Downloadable!]
  5. Harris Dellas & Martin K. Hess, 2000. "Financial Development and the Sensitivity of Stock Markets to External Influences," Working Papers 00.06, Swiss National Bank, Study Center Gerzensee. [Downloadable!]
    Other versions:
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