The approach by Engelberg, Manski, and Williams (2009) to convert probabilistic survey responses into continuous probability distributions implicitly assumes that the question intervals are equally wide. Almost all recently established household surveys have intervals of varying widths. Applying...

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-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,...

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,...

It has been recently documented that survey-based point predictions outperform even the most successful forecasting models. However, corresponding variance forecasts are frequently diagnosed as being heavily distorted. Forecasters who report inconspicuously low ex-ante variances often produce...

We propose to treat survey-based density expectations as compositional data when testing either for heterogeneity in density forecasts across different groups of agents or for changes over time. Monte Carlo simulations show that the proposed test has more power relative to both a bootstrap...

We propose to treat survey-based density expectations as compositional data when testing either for heterogeneity in density forecasts across different groups of agents or for changes over time. Monte Carlo simulations show that the proposed test has more power relative to both a bootstrap...