This paper shows how to calculate consistent marginal effects on the original scale of the outcome variable in Stata after estimating a linear regression with a dependent variable that has been transformed by the inverse hyperbolic sine function. The method uses a nonparametric retransformation...

The Center for Medicare and Medicaid Services has introduced several pay-for-performance programs in the last few years to encourage hospitals to improve quality of care and reduce costs. Some state Medicaid programs have also introduced pay-for-performance for nursing homes. Long-term care...

Although independent unobserved heterogeneity--variables that affect the dependent variable but are independent from the other explanatory variables of interest--do not affect the point estimates or marginal effects in least squares regression, they do affect point estimates in nonlinear models...

To develop and validate a general method (called regression risk analysis) to estimate adjusted risk measures from logistic and other nonlinear multiple regression models. We show how to estimate standard errors for these estimates. These measures could supplant various approximations (e.g.,...

With periodic recessions and the rising costs of health care, it is important to know how labor market participation and insecurity affects health outcomes. Yet, this line of research faces a number of methodological challenges which this paper aims to address. We turn to Ukraine's experience...