The study develops two new real wages series for Germany c. 1500-1850 and analyzes their relationship with population size. From 1690 data density allows the estimation of a structural time series model of this relationship. The major results are the following: First, there was a strong negative...

This article has two aims: First, it is a contribution to development economics, in particular to the literature about food risk in rural economies. We contribute by emphasizing crop diversification as a means of reducing the variance of household food production, and by providing empirical...

Historical national account data are often plagued by quality problems, and rivaling series imply different business cycle chronologies. This problem is particularly grave for Germany before World War I [Burhop, C., Wolff, G.B., 2005. A compromise estimate of net national product and the...

This article analyzes international business cycles in Europe 1862-1913 using disaggregated data and Dynamic Factor Analysis. In comparison with estimates of real national product there is more evidence for international business cycles in disaggregated data of Germany, France and Great Britain...

This article presents new data on grain production, storage and prices in Saxony between 1789 and 1830. We contribute to three interrelated debates. First, we discuss whether monthly price increases were sufficient to cover storage costs, and how they relate to storage levels at the end of the...

Using a Markov-switching GARCH model this paper analyzes the volatility evolution of the greenback's price in gold from after the Civil War until the return to gold convertibility in 1879. The econometric inference associated with our methodology indicates a switch to a regime of low volatility...

This paper presents a new view on the gold price of greenbacks during and after the American Civil War by analyzing exchange-rate volatility rather than exchange-rate levels. Our empirical investigation detects regimes of high and low volatility alternating in a way that is consistent with a...

This paper analyses 19th century wheat market integration using comovement analysis borrowed from international business cycle research. This allows for tracking each single city's integration into its respective national market while controlling for international developments. I nd that the...

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...

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...