Software
MY STATA programs for Program Evaluation Econometrics
MY STATA programs for Program Evaluation Econometrics
CUB: Stata module to estimate ordinal outcome model estimated by a mixture of a uniform and a shifted binomial
CUB: Stata module to estimate ordinal outcome model estimated by a mixture of a uniform and a shifted binomial
TFDIFF: Stata module to compute pre- and post-treatment estimation of the Average Treatment Effect (ATE) with fixed binary treatment
TFDIFF: Stata module to compute pre- and post-treatment estimation of the Average Treatment Effect (ATE) with fixed binary treatment
SUBSET: Stata module to implement best covariates and stepwise subset selection
SUBSET: Stata module to implement best covariates and stepwise subset selection
SCTREE: module to implement classification trees via optimal pruning, bagging, random forests, and boosting methods
SCTREE: module to implement classification trees via optimal pruning, bagging, random forests, and boosting methods
SRTREE: Stata module to implement regression trees via optimal pruning, bagging, random forests, and boosting methods
SRTREE: Stata module to implement regression trees via optimal pruning, bagging, random forests, and boosting methods
SENSIMATCH: Stata module to provide data-driven sensitivity analysis for Matching estimator
SENSIMATCH: Stata module to provide data-driven sensitivity analysis for Matching estimator
TVDIFF: Stata module to compute pre- and post-treatment estimation of the Average Treatment Effect (ATE) with binary time-varying treatment
TVDIFF: Stata module to compute pre- and post-treatment estimation of the Average Treatment Effect (ATE) with binary time-varying treatment
MKERN: Stata module to perform multivariate nonparametric kernel regression
MKERN: Stata module to perform multivariate nonparametric kernel regression
NPSYNTH: Stata module to implement Nonparametric Synthetic Control Method
NPSYNTH: Stata module to implement Nonparametric Synthetic Control Method
NTREATREG: Stata module for estimation of treatment effects in the presence of neighbourhood interactions
NTREATREG: Stata module for estimation of treatment effects in the presence of neighbourhood interactions
TED: Stata module to test Stability of Regression Discontinuity Models
TED: Stata module to test Stability of Regression Discontinuity Models
RSCORE: Stata module for estimation of responsiveness scores
RSCORE: Stata module for estimation of responsiveness scores
DATANET: Stata module to facilitate dataset organization for network analysis purposes
DATANET: Stata module to facilitate dataset organization for network analysis purposes
CTREATREG: Stata module for estimating dose-response models under exogenous and endogenous treatment
CTREATREG: Stata module for estimating dose-response models under exogenous and endogenous treatment
IVTREATREG: Stata module to estimate binary treatment models with idiosyncratic average effect
IVTREATREG: Stata module to estimate binary treatment models with idiosyncratic average effect
TREATREW: Stata module to estimate Average Treatment Effects by reweighting on propensity score
TREATREW: Stata module to estimate Average Treatment Effects by reweighting on propensity score
It goes without saying that different software are useful tools according to specific purposes. In this section I provide a very short description of the most used packages both for economic-statistical analysis and for more general scientific purposes with an hyperlink to their website.
It goes without saying that different software are useful tools according to specific purposes. In this section I provide a very short description of the most used packages both for economic-statistical analysis and for more general scientific purposes with an hyperlink to their website.
STATA: for statistical analysis
STATA: for statistical analysis
PYTHON: for machine learning and data science
PYTHON: for machine learning and data science
R: for statistical analysis
R: for statistical analysis
MATLAB: for computational purposes
MATLAB: for computational purposes
SIMLAB: for sensiyivity analysis
SIMLAB: for sensiyivity analysis
LATEX: for editing scientific papers
LATEX: for editing scientific papers
HTML: for building websites
HTML: for building websites