tvsc is a command that generates balance tables. The command tests for statistically significant difference between the categories defined in the by(varname). It uses reghdfe to estimates the differences with fixed effects.
net install tvsc, from("https://raw.githubusercontent.com/rrmaximiliano/tvsc/main") replaceLet's first generate a treatment variable using the census dataset.
*** Load dataset
sysuse census, clear
*** Create treatment variable
set seed 01237846
gen treatment = (runiform()<.5). tvsc divorce marriage, by(treatment)
---------------------------------------------------
Treatment Control Difference
---------------------------------------------------
divorce 18,379.07 30,425.36 -12046.29
(2,630.31) (7,183.07) (7,011.02)
marriage 40,064.50 57,421.09 -17356.59
(6,472.19) (11,808.47) (12,747.12)
---------------------------------------------------Example 2: Raw differences with standard deviations for treatment, control, and standard errors for differences
. tvsc divorce marriage, by(treatment) sd
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Treatment Control Difference
---------------------------------------------------
divorce 18,379.07 30,425.36 -12046.29
(13,918.27) (33,691.57) (7,011.02)
marriage 40,064.50 57,421.09 -17356.59
(34,247.63) (55,386.64) (12,747.12)
---------------------------------------------------. tvsc divorce marriage, by(treatment) clus_id(region)
---------------------------------------------------
Treatment Control Difference
---------------------------------------------------
divorce 18,379.07 30,425.36 -12046.29
(2,630.31) (7,183.07) (7,374.89)
marriage 40,064.50 57,421.09 -17356.59
(6,472.19) (11,808.47) (11,261.94)
---------------------------------------------------. tvsc divorce marriage, by(treatment) clus_id(region) strat_id(region)
----------------------------------------------------------------
Treatment Control Diff FE Diff
----------------------------------------------------------------
divorce 18,379.07 30,425.36 -12046.29 -13692.48
(2,630.31) (7,183.07) (7,374.89) (8,755.31)
marriage 40,064.50 57,421.09 -17356.59 -20555.04
(6,472.19) (11,808.47) (11,261.94) (12,263.35)
----------------------------------------------------------------. tvsc divorce marriage, by(treatment) clus_id(region) strat_id(region) labels
------------------------------------------------------------------------
Treatment Control Diff FE Diff
------------------------------------------------------------------------
Number of divorces 18,379.07 30,425.36 -12046.29 -13692.48
(2,630.31) (7,183.07) (7,374.89) (8,755.31)
Number of marriages 40,064.50 57,421.09 -17356.59 -20555.04
(6,472.19) (11,808.47) (11,261.94) (12,263.35)
------------------------------------------------------------------------tvsc does not have a native way to export the results. However, you can use the esttab command from the estout package to export the results to excel, word, or latex. You can use the options cells() and specified what estimates you want to include. For example:
*** ssc install estout, replace
// Latex Table
. local style "nomtitle nonumbers noobs b(3) se(3) booktabs"
. quietly tvsc divorce marriage, by(treatment) clus_id(region) stra_id(region) labels
. esttab, `style' cells("mu_2(fmt(%9.2fc)) mu_1(fmt(%9.2fc)) mu_3(fmt(%9.2fc))" "se_2(par) se_1(par) se_3(par)")
{
\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi}
\begin{tabular}{l*{1}{ccc}}
\toprule
& mu\_2/se\_2& mu\_1/se\_1& mu\_3/se\_3\\
\midrule
divorce & 18,379.07& 30,425.36& -12046.29\\
& (2,630.31)& (7,183.07)& (7,374.89)\\
marriage & 40,064.50& 57,421.09& -17356.59\\
& (6,472.19)& (11,808.47)& (11,261.94)\\
\bottomrule
\end{tabular}
}
// Latex Table, just the body
. local style "label nolines nogaps fragment nomtitle nonumbers noobs nodep collabels(none) booktabs b(3) se(3)"
. quietly tvsc divorce marriage, by(treatment) clus_id(region) stra_id(region) labels
. esttab, `style' cells("mu_2(fmt(%9.2fc)) mu_1(fmt(%9.2fc)) mu_3(fmt(%9.2fc))" "se_2(par) se_1(par) se_3(par)")
Number of divorces & 18,379.07& 30,425.36& -12046.29\\
& (2,630.31)& (7,183.07)& (7,374.89)\\
Number of marriages & 40,064.50& 57,421.09& -17356.59\\
& (6,472.19)& (11,808.47)& (11,261.94)\\In this example, mu_2 is equivalent to the treatment group, mu_1 to the control group, and mu_3 to the difference. If you want to include stars to the estimates, you can add star pvalue(d_p) to the cells options like this:
. quietly tvsc divorce marriage, by(treatment)
. esttab, `style' cells("mu_2(fmt(%9.2fc)) mu_1(fmt(%9.2fc)) mu_3(fmt(%9.2fc) star pvalue(d_p))" "se_2(par) se_1(par) se_3(par)")
Number of divorces & 18,379.07& 30,425.36& -12046.29\sym{*} \\
& (2,630.31)& (7,183.07)& (7,011.02) \\
Number of marriages & 40,064.50& 57,421.09& -17356.59 \\
& (6,472.19)& (11,808.47)& (12,747.12) \\I do not consider myself the author of this command since it draws from ado files that were written before by Profe Mauricio Romero. I just adapted it to have more options and to be downloadable.
In case you would like to contact me, you can email me at: rodriguezramirez@worldbank.org