This is a work-in-progress website of sample Stata files, produced by Fan. Materials gathered from various projects in which STATA code is used. The goal of this repository is to make it easier to find/re-use codes produced for various projects.

STATA files are linked below by section. Various functions are stored in corresponding .do files. To use the files, clone the repository. Some files have examples/instructions created using Jupyter notebooks or STATA translator and are shown as HTML and PDF files. See here for Github set up.

From Fan's other repositories: For dynamic borrowing and savings problems, see Dynamic Asset Repository; For example R code, see R Panel Data Code, for example Matlab code, see Matlab Example Code; For intro econ with Matlab, see Intro Mathematics for Economists, and for intro stat with R, see Intro Statistics for Undergraduates. See here for all of Fan's public repositories.

Please contact FanWangEcon for issues or problems.

1. Regressions

1.1 All Purpose Regression Tool

All Purpose N Columns M Panels Regression Structure
- Code: DO | PDF Gen Tables Log | HTML Gen Tables Log
- Output: PDF Table | HTML Table | DOC Table
- A regression table has these ingredients: (1) regression method (2) LHS (3) RHS (to keep) (4) RHS (controls not to show in table) (5) conditions (6) regression options (7) row and column title and footnotes labeling
- Specify regression table column and panel specific ingredients for all, none, any row or column subsets freely
- Versatile structure that can test large sets of regression specifications

1.2 Various Examples

Discrete Interactions: DO | HTML | PDF
- Regression with interacted discrete regressors
- core: regress + esttab

2. Generate Table

2.1 Multiple Regression Panels

Multiple Panels: DO | Gen Table Log | PDF Table | TEX Table
- Three panels, different regressors for each panel, different conditionings each column.
- core: regres + esttab

2.2 Multiple Regression Panels with Interactions

Continuous and Discrete Interactions: DO | Gen Table Log | PDF Table | TEX Table
- Three panels, different regressors for each panel, different conditionings each column.
- core: regres + esttab

2.3 Cross Tabulation

Continuous and Discrete Interactions: DO | Gen Table Log | PDF Table | TEX Table
- Three row categories, two interacting column categories, statistics for multiple variables
- core: regres + estpost tabstat

3. Dataset Manipulation

3.1 Generate

Generate Grouped Categorical Variable: DO | HTML | PDF
- Reduce the number of categories for a categorical variable
- core: recode turn (min/35 = 1 "Turn <35") ... (46/max = 5 "Turn > 45") (else =. ), gen(turn_m5); if inrange(turn, 31, 35), if inlist(turn, 46, 48, 51)

3.2 Summary

Multiple Variables Jointly Nonmissing: DO | HTML | PDF
- Find rows where there are no missing values for any variables in a list of variables and where certain conditionings are satisfied
- core: egen valid = rownonmiss($svr_list) if $scd_bse $scd_one $scd_two

3.3 Random

Drop Random Subset of Data: DO | HTML | PDF
- Drop random subset of data for different variables
- core: round((_n/_N) x it_drop_frac) == round(it_drop_frac x uniform())

4. Programming

4.1 Basic

Local, Global and Scalar: DO | HTML | PDF
- local, global and scalar as boolean controls
- core: local bl_includereg1 = 1, if (`bl_includereg1'); global bl_includereg3 = 0, if ($bl_includereg3); scalar bl_includereg5 = 0, if (bl_includereg5);

4.2 Matrix

Define and Slice Matrix: DO | HTML | PDF
- matrix definition and slicing, get column and row names, replace matrix subset.
- core: matrix + rownumb/colnumb + matrix mt_bl_estd = J(it_rowcnt, it_colcnt, bl_fillval) + mat_a[1..., colnumb(mat_a, "reg1")] + ...

5. Support

5.1 Logging

LOG2HTML and Translator: DO | Translator PDF | SMCL Log PDF
- translator to export console buffer to PDF, or to export log file to pdf; log2html to convert to html.
- core: log2html + translate @Results

Please contact for issues or problems.