## Binned incomes

- Hunter, D.J., Drown, M., & von Hippel, P.T. (2017). “The
*binsmooth*package for R.” This estimates inequality statistics from binned incomes, using the histospline method which is better than the methods implemented below. - von Hippel, P.T. & Powers, D.E. (2015). “The
*rpme*command for Stata.”

This estimates inequality statistics from binned incomes, using the robust Pareto midpoint estimator developed by von Hippel, Scarpino, and Holas (2015). The method - Duan, Y., & von Hippel, P.T. (2016). “The
*mgbe*command for Stata.” This implements the multimodel generalized beta estimator developed by von Hippel, Scarpino, and Holas (2016). - Scarpino, S., von Hippel, P.T., & Holas, I. (2014). “The
*binequality*package for R.”

This implements the multimodel GB estimator developed by von Hippel, Scarpino, and Holas (2014).

## Missing data

- von Hippel, P.T. (2007). “The
*%mid*macro for SAS.” This implements multiple imputation with deletion (MID). The macros is in Appendix B of von Hippel (2007).