Tracking down the business cycle: A dynamic factor model for Germany 1820-1913
We use a Bayesian dynamic factor model in order to calculate an economic activity index for Germany prior to World War I. The procedure allows us to incorporate information from a vast number of time series, which are underutilized by historical national accounts. Therefore, our indicator provides an alternative measure for economic activity, based on a broader database. To investigate industrialization, we compare our aggregate measure of economic activity with sectoral activity indices. We find that the industrial transition was completed earlier than agricultural output and employment shares suggest, since the indicator for agriculture had already decoupled from the aggregate business cycle measure during the 1860s. Moreover, we find that stock prices are strongly correlated with our indicator, and lead it by 1-2 years.
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- Arthur F. Burns & Wesley C. Mitchell, 1946. "Measuring Business Cycles," NBER Books, National Bureau of Economic Research, Inc, number burn46-1.
- Otrok, C. & Whiteman, C.H., 1996.
"Bayesian Leading Indicators: Measuring and Predicting Economic Conditions in Iowa,"
96-14, University of Iowa, Department of Economics.
- Otrok, Christopher & Whiteman, Charles H, 1998. "Bayesian Leading Indicators: Measuring and Predicting Economic Conditions in Iowa," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 997-1014, November.
- James H. Stock & Mark W. Watson, 1989.
"New Indexes of Coincident and Leading Economic Indicators,"
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.
- James H. Stock & Mark W. Watson, 1998. "Diffusion Indexes," NBER Working Papers 6702, National Bureau of Economic Research, Inc.
- Chib, Siddhartha, 1993. "Bayes regression with autoregressive errors : A Gibbs sampling approach," Journal of Econometrics, Elsevier, vol. 58(3), pages 275-294, August.
- Calomiris, Charles W. & Schweikart, Larry, 1991. "The Panic of 1857: Origins, Transmission, and Containment," The Journal of Economic History, Cambridge University Press, vol. 51(04), pages 807-834, December.
- Lawrence J. Christiano & Terry J. Fitzgerald, 1999.
"The Band Pass Filter,"
NBER Working Papers
7257, National Bureau of Economic Research, Inc.
- Albrecht Ritschl & Martin Uebele, 2005.
"Stock Markets and Business Cycle Comovement in Germany before World War I: Evidence from Spectral Analysis,"
SFB 649 Discussion Papers
SFB649DP2005-056, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Uebele, Martin & Ritschl, Albrecht, 2009. "Stock markets and business cycle comovement in Germany before World War I: Evidence from spectral analysis," Journal of Macroeconomics, Elsevier, vol. 31(1), pages 35-57, March.
- Ritschl, Albrecht & Uebele, Martin, 2005. "Stock Markets and Business Cycle Comovement in Germany Before World War I: Evidence from Spectral Analysis," CEPR Discussion Papers 5370, C.E.P.R. Discussion Papers.
- Ravn, Morten O & Uhlig, Harald, 2001.
"On Adjusting the HP-Filter for the Frequency of Observations,"
CEPR Discussion Papers
2858, C.E.P.R. Discussion Papers.
- Uhlig, H.F.H.V.S. & Ravn, M., 1997. "On Adjusting the H-P Filter for the Frequency of Observations," Discussion Paper 1997-50, Tilburg University, Center for Economic Research.
- Morten O. Ravn & Harald Uhlig, 2001. "On Adjusting the HP-Filter for the Frequency of Observations," CESifo Working Paper Series 479, CESifo Group Munich.
- Rajan, Raghuram G. & Zingales, Luigi, 2003. "The great reversals: the politics of financial development in the twentieth century," Journal of Financial Economics, Elsevier, vol. 69(1), pages 5-50, July.
- Thomas J. Sargent & Christopher A. Sims, 1977.
"Business cycle modeling without pretending to have too much a priori economic theory,"
55, Federal Reserve Bank of Minneapolis.
- Tom Doan, "undated". "RATS program to estimate observable index model from Sargent-Sims(1977)," Statistical Software Components RTZ00126, Boston College Department of Economics.
- A'Hearn, Brian & Woitek, Ulrich, 2001. "More international evidence on the historical properties of business cycles," Journal of Monetary Economics, Elsevier, vol. 47(2), pages 321-346, April.
- Berger, Helge & Spoerer, Mark, 2001. "Economic Crises And The European Revolutions Of 1848," The Journal of Economic History, Cambridge University Press, vol. 61(02), pages 293-326, June.
- Helling Gertrud, 1965. "Berechnung eines Index der Agrarproduktion in Deutschland im 19. Jahrhundert," Jahrbuch für Wirtschaftsgeschichte / Economic History Yearbook, De Gruyter, vol. 6(4), pages 125-151, April.
- Ulrich Woitek, 1998. "A Note on the Baxter-King Filter," Working Papers 9813, Business School - Economics, University of Glasgow.
- Chang-Jin Kim & Charles R. Nelson, 1999. "State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262112388, December.
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