We present the clrbound, clr2bound, clr3bound, and clrtest commands for estimation and inference on intersection bounds as developed by Chernozhukov et al. (2013). The commands clrbound, clr2bound, and clr3bound provide bound estimates that can be used directly for estimation or to construct asymptotically valid confidence sets. The command clrbound provides bound estimates for one-sided lower ...

* Any opinions and conclusions expressed herein are those of the authors and do not necessarily represent the views of the U.S. Census Bureau. All results have been reviewed to ensure that no confidential information is disclosed. We thank Ryan Decker for his assistance developing the STATA code used in this paper.

This paper presents a large scale dataset of vision (stereo and RGB-D), laser and proprioceptive data collected over an extended duration by a Willow Garage PR2 robot in the 10 story MIT Stata Center. As of September 2012 the dataset comprises over 2.3TB, 38 hours and 42 kilometers (the length of a marathon). The dataset is of particular interest to robotics and computer vision researchers inte...

WinBUGS is a program for Bayesian model fitting by Gibbs sampling. WinBUGS has very limited facilities for data handling while Stata has no routines for Bayesian analysis, and as a result there is a lot to be gained by running Stata and WinBUGS in combination. A set of ado files are presented that enable data to be processed in Stata, passed to WinBUGS for model fitting and the results read bac...

We present a new Stata command, bmte (bias-minimizing treatment effects), which implements two new estimators proposed in Millimet and Tchernis (2012) designed to estimate the effect of treatment when there exists selection on unobserved variables and appropriate exclusion restrictions are unavailable. In addition, the bmte command estimates treatment effects from several alternative estimators...