Empirical studies of the "shoe-leather" costs of inflation are typically computed using M1 as a measure of money. Yet, official data on M1 includes all currency issued, regardless of the country of residence of the holder. Using monetary data adjusted for US dollars abroad, we show that the...

Extending the data set used in Beyer (2009) from 2007 to 2017, we estimate I(1) and I(2) money demand models for euro area M3. We nd that the elasticities in the money demand and the real wealth relations identi ed previously in Beyer (2009) have remained remarkably stable throughout the...

Estimates of the welfare costs of inflation based on Bailey (1956) are typically computed using aggregate money demand models. Yet, the behavior of money demand may vary across sectors. Thus, the impact on welfare of in.action regime shifts may differ between households and firms. We...

After the switch to a floating exchange rate in 1973, the Swiss National Bank at first adopted annual monetary targets and in the 1990s shifted to a medium-term targeting strategy. In this paper I review the SNBu0092s internal policy analysis, an aspect of Swiss monetary targeting that has...

Empirical studies of the "shoe-leather" costs of inflation are typically computed using M1 as a measure of money. Yet, official data on M1 includes all currency issued, regardless of the country of residence of the holder. Using monetary data adjusted for US dollars abroad, we show that the...

During the turbulent 1970s and 1980s the Bundesbank established an outstanding reputation in the world of central banking. Germany achieved a high degree of domestic stability and provided safe haven for investors in times of turmoil in the international financial system. Eventually the...

In the paper we propose a new methodological approach to core in- flation estimation, based on a frequency domain principal components estimator, suited to estimate systems of fractionally cointegrated processes. The proposed core inflation measure is the scaled common persistent factor in...