We present the results of an experiment where a random subset of the participants in the Bundesbank's household panel receive personalized response scales, centered at each participant's point forecast. Personalized response scales offer two advantages over the standard scale which is centered...

In density forecasts, respondents are asked to assign probabilities to pre-specified ranges of inflation. We show in two large-scale experiments that responses vary when we modify the response scale. Asking an identical question with modified response scales induces different answers: Shifting,...

In density forecasts, respondents are asked to assign probabilities to pre-specifted ranges of inflation. We show in two large-scale experiments that responses vary when we modify the response scale. Asking an identical question with modifted response scales induces different answers: Shifting,...

In density forecasts, respondents are asked to assign probabilities to a response scale with pre-specified ranges of inflation. In two large-scale experiments, one conducted in the US and one in Germany, we show how the specifics of the response scale determine the responses: Shifting,...

We examine whether inflation expectations obtained by open- and closed-ended questions lead to different inflation expectations through a randomized controlled trial. We find that different questionnaires measure significantly different inflation expectations, especially in the short term. We...

Existing empirical evidence suggests that entrepreneurs are optimists, a finding researchers often interpret as evidence of a behavioral bias in entrepreneurial decision-making. We revisit this claim by analyzing an unusually large survey dataset (180,814 responses) that allows us to create a...

Using a novel dataset that contains qualitative firm survey data on sales forecasts as well as balance-sheet data on realized sales, we document that only major forecast errors are predictable and display autocorrelation. This result is a particular violation of the Full Information Rational...

Using a novel data set that combines firms' qualitative survey-based sales forecasts with their quantitative balance-sheet data on realized sales, we document that only major forecast errors (those in the two tails of the distribution) are predictable and display auto-correlation. This result is...

Using a novel dataset that contains qualitative firm survey data on sales forecasts as well as balance-sheet data on realized sales, we document that only major forecast errors are predictable and display autocorrelation. This result is a particular violation of the Full Information Rational...

We develop a novel methodology to quantify forecasts based on qualitative survey data. The methodology is generally applicable when quantitative information is available on the realization of the forecasted variable, for example from firm balance sheets. The method can be applied to a wide range...