Stata Commands 

A list of Stata commands I have written. Click on the command name below to read more about each package (including links to download the commands):

- balanceplot: plots of standardized imbalance statistics

- cleanplots: Stata graphics scheme

- desctable: professionally formatted descriptive statistics tables

- irt_coef: y*-standardized coefficient estimates for item response theory models

- irt_me: marginal effect estimates for item response theory models

- lca_entropy: entropy fit statistic calculation for latent class analysis models

- mecompare: comparing marginal effects across models

- meinequality: marginal effects inequality statistics

- sgmediation2: Stata command for Sobel-Goodman tests of statistical mediation in linear regression 

- totalme: total marginal effects estimates

- usetdm: command to download datasets off web for class and workshop examples

Misc. Example Stata Do-Files

Below are a host of miscellaneous example Stata do-files I have collected over the years. These are examples I have created for things I do repeatedly in my own work, and/or examples I have created for common questions I receive from people looking for help.

Note: For most topics, you will find more extensive and more polished examples associated with a class I teach.

Disclaimer: These templates worked for me for the specific situation I faced. Consider these as starting points for your work --not guaranteed paths to success.

• Comparing effect sizes for binary and continuous independent variables using marginal effects

• Various ways to fit a fixed effects linear model: demeaning, hybrid, between/within, correlated random effects

• Using marginal effects and mimrgns with imputed data: main effects, interaction effects, mediation, and other cross-model comparisons

• Impute missing data with multiple hot deck, including a stratification variable that needs to be imputed

• Comparing marginal effects across multilevel models

• Examine interaction effects among predictors of latent class membership

• Data cleaning template (empty, starting file)

• Data analysis template (empty, starting file)