Printed from https://ideas.repec.org/s/boc/usug17.html
Content
2017
- 21 Robust statistics in Stata
by Ben Jann & Vincenzo Verardi - 20 Extending Stata graphics via SVG manipulation commands
by Robert Grant & Tim P. Morris - 19 Causal inference with sample selection
by David M. Drukker - 18 eltmle: Ensemble learning targeted maximum likelihood estimation
by Miguel-Angel Luque Fernandez - 17 Three serial correlation tests for panel data regression models
by Jesse Wursten - 16 piecewise_ginireg - A Stata package to run piecewise Gini regressions
by Jan Ditzen & Shlomo Yitzhaki - 15 Group sequential clinical trial designs for normally distributed outcome variables
by Michael Grayling & James Wason & Adrian Mander - 14 mrrobust: a Stata package for MR-Egger regression type analyses
by Tom Palmer - 13 Fitting Bayesian regression models using the bayes prefix
by Yulia Marchenko - 12 Estimation and inference for quantiles and indices of inequality and poverty with survey data: leveraging built-in support for complex survey design and multiply imputed data
by Philippe Van Kerm - 11 kmatch: Kernel matching with automatic bandwidth selection
by Ben Jann - 10 Response surface models for the Elliott, Rothenberg, Stock DF-GLS unit root test
by Christopher F Baum & Jesús Otero - 09 Sequential (two-stage) estimation of linear panel data models
by Sebastian Kripfganz - 08 Estimating mixture models for environmental noise assessment
by Gordon Hughes - 07 Local maxima in the estimation of the ZINB and sample selection models
by João M. C. Santos Silva - 06 Unemployment duration and re-employment wages: a control function approach
by Marta C. Lopes - 05 Scheme scheme, plot plot: DIY graph schemes in Stata
by Tim P. Morris - 04 On the shoulders of giants, or not reinventing the wheel
by Nicholas Cox - 03 A general multilevel estimation framework: Multivariate joint models and more
by Michael Crowther - 02 Nonparametric synthetic control method for program evaluation: model and Stata implementation
by Giovanni Cerulli - 01 Ridit splines with applications to propensity weighting
by Roger Newson