This paper constructs internationally consistent measures of macroeconomic uncertainty. Our econometric framework extracts uncertainty from revisions in data obtained from standardized national accounts. Applying our model to quarterly post-WWII real-time data, we estimate macroeconomic...

This paper leverages a novel survey among German senior government officials to investigate fiscal responses to monetary policy shocks. Using randomized vignette treatments, we present officials with scenarios of increased government interest costs and analyze their expected fiscal adjustments....

This paper studies the dynamic effects of an uncertainty shock on firm expectations. We conduct a survey that confronts managers from a representative firm sample with a model-consistent uncertainty shock scenario. An exogenous increase in uncertainty significantly reduces managers' expected...

Uncertainty shapes the trajectory of business cycles and remains a central research topic in Macroeconomics. When studying the impact of uncertainty on the economy, economists use different uncertainty measures. While all indicators approximate uncertainty along some certain dimension, none of...

A sudden change in monetary policy happened in Switzerland on January 15th, 2015. The Swiss National Bank removed a lower exchange rate bound vis-à-vis the Euro. This unexpected change of regime induced a temporary uncertainty about future prices in foreign markets. We believe that this hampers...

Does increased policy uncertainty dampen investment plans of firms? We provide direct evidence on this question by examining the effects of an unexpectedly accepted and farreaching referendum in Switzerland in February 2014. The vote has put several economically relevant agreements between...

Business Tendency Surveys (BTS) continue to be an important source of timely information on business cycles in many countries. We address quality of economic survey data by uncovering the relation between unit non-response and participant characteristics on company respectively respondent level....

This paper uses a Bayesian non-stationary dynamic factor model to extract common trends and cycles from large datasets. An important but neglected feature of Bayesian statistics allows to treat stationary and non-stationary time series equally in terms of parameter estimation. Based on this...

In this paper, we investigate the transmission channels of oil price shocks using a factorial survey. We confront CEOs and CFOs of a representative sample of firms with a hypothetical vignette in which the oil price rises exogenously above managers' baseline expectations. The managers then...

This paper studies the global synchronicity of technology and its impact on the economy. We employ dynamic factor analysis to decompose patent data in different digital technologies for various countries into global and country-specific factors. Our findings confirm the existence of global and...