The bivariate probit model is frequently used for estimating the effect of an endogenous binary regressor on a binary outcome variable. This paper discusses simple modifications that maintain the probit assumption for the marginal distributions while introducing non-normal dependence among the...

The bivariate probit model is frequently used for estimating the effect of an endogenous binary regressor (the "treatment") on a binary health outcome variable. This paper discusses simple modifications that maintain the probit assumption for the marginal distributions while introducing...

The bivariate probit model is frequently used for estimating the eff ect of an endogenous binary regressor (the "treatment") on a binary health outcome variable. This paper discusses simple modifi cations that maintain the probit assumption for the marginal distributions while introducing...

In this paper, we test how reporting behaviors (response time, cognitive effort, questionnaire order) affect reported happiness in a large Dutch internet panel survey. We find that slower responses and higher cognitive effort reduce reported happiness. Moreover, in multivariate happiness...

The paper re-examines existing estimators for the panel data fixed effects ordered logit model, proposes a new one, and studies the sampling properties of these estimators in a series of Monte Carlo simulations. There are two main findings. First, we show that some of the estimators used in the...

The paper re-examines existing estimators for the panel data fixed effects ordered logit model, proposes a new one, and studies the sampling properties of these estimators in a series of Monte Carlo simulations. There are two main findings. First, we show that some of the estimators used in the...