We establish several stylized facts about the behavior of individual uncertainty and disagreement between individuals when forecasting inflation in the laboratory. Subjects correctly perceive the underlying inflation uncertainty in only 60% of cases, which can be interpreted as the...

Abstract: This paper compares the behavior of subjects' uncertainty in different monetary policy environments when forecasting inflation in the laboratory. We find that inflation targeting produces lower uncertainty and higher accuracy of interval forecasts than inflation forecast targeting. We...

Relying on Michigan Survey' monthly micro data on inflation expectations we try to determine the main features -- in terms of sources and degree of heterogeneity - of inflation expectation formation over different phases of the business cycle and for different demographic subgroups. We identify...

Historical time-series data is short relative to the frequency of political and economic crises. This makes it difficult to use pure time-series methods to identify the impacts of safe haven demand on asset prices, in the face of confounding effects from a wide range of alternative drivers. We...

We study the impact of diverse beliefs on conduct of monetary policy. We use a New Keynesian Model solved with a quadratic approximation. Aggregation renders the belief distribution an aggregate state variable. Diverse expectations change standard results about a smooth trade-off between...

Most macroeconomic data is continuously revised as additional information becomes available. We suggest that revisions of data is an important source of uncertainty about the state of the economy. This paper evaluates the quality of major real macroeconomic Euro area variables, published by...

Relying on Michigan Survey's monthly micro data on inflation expectations we try to determine the main features - in terms of sources and degree of heterogeneity - of inflation expectation formation over different phases of the business cycle. Different learning rules have been applied to the...

This article develops a simple theoretical framework to show how forecasters may bias downward point predictions under the assumption that the asymmetric loss function is directly related to the (Mean) Absolute Percentage Error (M)APE.

Relying on University of Michigan data on consumers.in.ation expectations, we establish some stylized facts on the process of in.ation expectation formation across different demographic groups. Percentile time series models are employed to test for rationality and to study learning dynamics...

The likelihood of success of grantmaking on large scale projects depends in general on pieces of information widely dispersed and privately held by recipients, public agencies, nongovernmental organizations and other interested parties. In this paper we discuss how philanthropists could...