Applied economists have long struggled with the question of how to accommodate binary endogenous regressors in models with binary and nonnegative outcomes. I argue here that much of the difficulty ...

Joel L. Horowitz, Semiparametric Estimation of a Regression Model with an Unknown Transformation of the Dependent Variable, Econometrica, Vol. 64, No. 1 (Jan., 1996), pp. 103-137 ...

The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

Regression is a statistical method that allows us to look at the relationship between two variables, while holding other factors equal. This post will show how to estimate and interpret linear ...

Logistic regression is a statistical method used to examine the relationship between a binary outcome variable and one or more explanatory variables. It is a special case of a regression model that ...