Software

Binned incomes

  1. 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.
  2. 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
  3. 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).
  4. 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

  1. 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).