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...

We test the relation between ambiguity aversion and five household portfolio choice puzzles: non- participation, low allocations to equity, home-bias, own-company stock ownership, and portfolio under- diversification. In a representative U.S. household survey, we measure ambiguity aversion using...