We consider the effects of 'precision' screening policies for cancer guided by algorithms. We first show that complex machine learning models can indeed predict cancer better than simpler models that use established risk factors. We then tackle the evaluation challenge: an algorithm that can...

Die in den letzten Jahren stark gestiegene Inflation beschäftigt nicht nur die Währungshüter, sondern beunruhigt auch Verbraucher:innen und Politik. Der Europäischen Zentralbank wird vorgeworfen, mit ihren Inflationsprognosen in den Jahren 2021 und 2022 die tatsächliche Entwicklung deutlich...

This paper reviews the usefulness of monetary conditions in the euro area as leading indicators for aggregate demand conditions. Monetary conditions are measured with the MCI concept proposed by the Bank of Canada, and with the yield spread. A central result is that causality runs in both ways...

In diesem Papier werden eine Reihe von Frühindikatoren für die Entwicklung der Ausrüstungs-, Wirtschaftsbau- und Wohnungsbauinvestitionen in Deutschland untersucht. Die Indikatoren werden auf Basis theoretischer Erwägungen oder wegen ihres technischen Zusammenhangs zur Investitionstätigkeit...

We study return predictability of stock indexes of blue chip firms and smaller hightechnology firms in Germany, France, and the United Kingdom during the second half of the 1990s. We measure return predictability in terms of first-order autocorrelation coefficients, and find evidence for return...

We used a recursive modeling approach to study whether investors could, in real time, have used information on the comovement of stock markets to forecast stock returns in European stock markets for high-technology firms. We used weekly data on returns in the Neuer Markt, the Nouveau Marché,...

In this paper, it is analyzed whether core money growth helps to predict future inflation in a useful and reliable way. Using an out-of-sample forecasting exercise and a stability analysis, it is shown that core money growth carries important information not contained in the inflation history,...

The paper investigates the sources of macroeconomic forecast errors in Germany. The predictions of the so-called "six leading" research institutes are analyzed. The forecast errors are discussed within an aggregate demand/supply scheme. Structural Vector Autoregressive Models are estimated to...

Using a binary reference series based on the dating procedure of Artis, Kontolemis and Osborn (1997) different procedures for predicting turning points of the German business cycles were tested. Specifically, a probit model as proposed by Estrella and Mishkin (1997) as well as Markov-switching...

Based on a panel of German professional forecasts for 1970 to 2003 we find that growth and inflation forecasts are unbiased and weakly, but not strongly efficient. Besides the effect of diverging forecasting dates, no other substantial differences in forecasting quality are found among...