One of the more important measures of a scholar’s research impact is the number of times that the scholar’s work is cited by other researchers as a source of knowledge. This paper conducts a first of its kind examination on Israel’s academic economists and economics departments, ranking...

When we take a cab we may feel cheated if the driver takes an unnecessarily long route despite the lack of a contract or promise to take the shortest possible path. Is our decision to take the cab affected by our belief that we may end up feeling cheated? Is the behavior of the driver affected...

Trust beliefs are heterogeneous across individuals and, at the same time, persistent across generations. We investigate one mechanism yielding these dual patterns: false consensus. In the context of a trust game experiment, we show that individuals extrapolate from their own type when forming...

We document a sharp reversal in electoral participation between the North and the South of Italy after the 1912 enfranchisement which extended voting rights from a limited élite to (almost) all adult males. When voting was restricted to the élite, electoral turnout was higher in the South but...

We construct an overlapping generations model with unemployment risk where wages, employment and severance payments are set through efficient bargaining between risk averse Unions and risk neutral firms. Assuming that a First Best cannot be achieved due to workers' shirking incentives, we...

A vast literature has investigated the relationship between trust and aggregate economic performance. We investigate the relationship between individual trust and individual economic performance. We find that individual income is hump-shaped in a measure of intensity of trust beliefs available...

This paper shows how particle filtering allows us to undertake likelihood-based inference in dynamic macroeconomic models. The models can be nonlinear and/or non-normal. We describe how to use the output from the particle filter to estimate the structural parameters of the model, those...

The estimation of large Vector Autoregressions with stochastic volatility using standard methods is computationally very demanding. In this paper we propose to model conditional volatilities as driven by a single common unobserved factor. This is justified by the observation that the pattern of...

We propose a method to produce density forecasts of the term structure of government bond yields that accounts for (i) the possible mispecification of an underlying Gaussian Affine Term Structure Model (GATSM) and (ii) the time varying volatility of interest rates. For this, we derive a Bayesian...

We propose a new approach to predictive density modeling that allows for MIDAS effects in both the first and second moments of the outcome and develop Gibbs sampling methods for Bayesian estimation in the presence of stochastic volatility dynamics. When applied to quarterly U.S. GDP growth data,...