We use a Bayesian dynamic factor model to measure Germany's pre World War I economic activity. The procedure makes better use of existing time series data than historical national accounting. To investigate industrialization we propose to look at comovement between sectors. We find that...

This paper examines the comovement of the stock market and of real activity in Germany before World War I under the efficient market hypothesis. We employ multivariate spectral analysis to compare rivaling national product estimates to stock market behavior in the frequency domain. Close...

This paper presents insights on U.S. business cycle volatility since 1867 de- rived from diffusion indices. We employ a Bayesian dynamic factor model to obtain aggregate and sectoral economic activity indices. We find a remarkable increase in volatility across World War I, which is reversed...

We evaluate explanations for why Germany grew so quickly in the 1950s. The recent literature has emphasized convergence, structural change and institutional shake-up while minimizing the importance of the postwar shock. We show that this shock and its consequences were more important than...

This paper examines the role of currency and banking in the German financial crisis of 1931 for both Germany and the U.S. We specify a structural dynamic factor model to identify financial and monetary factors separately for each of the two economies. We find that monetary transmission through...

German reunication was a positive market access shock for both East and West Germany. Regions that for 45 years had experienced a decline in population due to their loss in market access following the division of Germany of WWII were most strongly affected by this positive shock. We use an...