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...

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...

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...

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...

In this paper we use a direct measure of individual risk-aversion to examine the relationship between risk-aversion and unemployment. The traditional search model predicts that more risk-averse individuals have lower reservation wages and thus are less likely to be observed in unemployment. Our...

In this paper we use a direct measure of individual risk-aversion to examine the relationship between risk-aversion and unemployment. The traditional search model predicts that more risk-averse individuals have lower reservation wages and thus are less likely to be observed in unemployment. Our...