By allowing for imperfectly informed markets and the role of private information, we offer new insights about observed deviations of portfolio concentrations in domestic relative to foreign risky assets, or home bias, from what standard finance models predict. Our model ascribes the bias to...

This paper uses basic empirical facts from attention and perception psychology for a behavioral approach to equilibrium analysis at the industry and the macroeconomic level. The paper endogenously determines whether an economy is information-rich and whether scarcity of attention complements...

This paper uses basic empirical facts from attention and perception psychology for a behavioral approach to equilibrium analysis at the industry and the macroeconomic level. The paper endogenously determines whether an economy is information-rich and whether scarcity of attention complements...

This paper analyzes the effects of sociological changes in the form of a shift of influence within two-member households participating in labor and product markets. The most striking effects occur when household members differ in individual preferences and enjoy positive leisure-dependent...

Bitcoin in particular and so-called cryptocurrencies in general have shaken up the financial world and seem to be claiming an increasing size of the market share. These new virtual assets present investors with significant opportunities, but also with significant risks. This paper analyzes the...

We combine a customized survey and randomized controlled trial (RCT) to study the effect of higher-order beliefs on U.S. retail investors' portfolio allocations. We find that investors' higher-order beliefs about stock market returns are correlated with but distinct from their first-order...

By allowing for imperfectly informed markets and the role of private information, we offer new insights about observed deviations of portfolio concentrations in domestic relative to foreign risky assets, or "home bias", from what standard finance models predict. Our model ascribes the "bias" to...

A common approach to dealing with missing data is to estimate the model on the common subset of data, by necessity throwing away potentially useful data. We derive a new probit type estimator for models with missing covariate data where the dependent variable is binary. For the benchmark case of...