Iebaltab
iebaltab produces balance tables with multiple groups or treatment arms
Description
iebaltab is a command that generates balance tables (difference-in-means tables). The command tests for statistically significant difference between the categories defined in the grpvar(varname). The command can either test one control group against all other groups or test
all groups against each other. The command also allows for fixed effects, covariates and different types of variance estimators.
A lot of attention has also been spent on providing helpful error messages when the command is mis-specified. The command will also issue errors or warnings when the command is specified correctly but the nature of the data leaves potential for the results to be misinterpreted , or simply invalid. For example, if an observation has a missing value in a variable that is used in an F-test for joint significance, then Stata cannot do anything but drop that observation. This command will throw an error unless the user specifies the option that suppresses that error or if the user specifies any of the options that tells the command how to interpret missing values.
The command also attaches notes to the bottom of the table with infomration on, for example, which significance levels are used for stars, which fixed effects or covariates that were included (if any) etc.
The command estimates the descriptive stats, the t-test, and the F-tests using the following regressions:
Group means and group standard errors
In the following regression, balancevarname refers to the variables (one at the time) listed in balancevarlist, groupvar refers to the variable listed in option grpvar(varname) and groupcode refers to the value corresponding to the group for which the means and standard errors are estimated for.
reg balancevarname if groupvar = groupcode
where _b[cons] from the returned results is the group mean and _se[cons] is the standard error in the group mean. Fixed effects and covaraiates are never included in this regression.
t-tests
In the following t-test regression, balancevarname refers to the variables (one at the time) listed in balancevarlist. testgroupdummy is a dummy variable with the value 0 for one of the groups compared in this t-test and 1 for the other group. All other groups have missing values and are therefore excluded from the regression.
reg balancevarname testgroupdummy
test testgroupdummy
where r(p), from the returned results, is used when adding stars to the tables according to the thresholds specified in option starlevels().
F-test
In the following F-test regression, balancevarlist refers to the list of all balancevars specified for the command. testgroupdummy is a dummy variable with the value 0 for one of the groups compared in this t-test and 1 for the other group. All other groups have missing values and are therefore excluded from the regression.
reg testgroupdummy balancevarlist
testparm balancevarlist
where r(p), from the returned results, is used when adding stars to the tables according to the thresholds specified in option starlevels().
Fixed effects
In the following t-test and F-test regressions with fixed effects, fixed refers to the variable included as the fixed effects in option fixedeffects(). The p-values for the tests are obtained in the same way as described above.
xi : reg balancevarname testgroupdummy i.fixed
test testgroupdummy
xi : reg testgroupdummy balancevarlist i.fixed
testparm balancevarlist
Covariates
In the following t-test and F-test regressions which include covariates, covariatesvarlist refers to the variables included as the control variables in option covariates(). The p-values for the tests are obtained in the same way as described above.
reg balancevarname testgroupdummy covariatesvarlist
test testgroupdummy
reg testgroupdummy balancevarlist covariatesvarlist
testparm balancevarlist
Standard errors estimators}
In the following t-test and F-test regressions including the non-default variance estimators, vcetype is the varaince estimator specfied.
reg balancevarname testgroupdummy, vce(vcetype)
test testgroupdummy
reg testgroupdummy balancevarlist, vce(vcetype)
testparm balancevarlist
Combining them all
All options described above can be included in the same regression, for example:
xi : reg balancevarname testgroupdummy i.fixed covariatesvarlist, vce(vcetype)}
test testgroupdummy}
Examples
Example 1
iebaltab {it:outcome_variable}, grpvar({it:treatment_variable}) browse
In the example above, let's assume that treatment_variable is a variable that is 0 for observations in the control group, and 1 for observations in the treatment group. Then in this example, the command will show the mean of {it:outcome_variable} and the standard error of that mean for the control group and the treatment group separately, and it will show the difference between the two groups and test if that difference is statistically significant.
Example 2
global project_folder "C:\Users\project\baseline\results"}
iebaltab outcome_variable, grpvar(treatment_variable) save("$project_folder\balancetable.xlsx")}
The only difference between example 1 and this example is that in this example the table is saved to file instead of being shown in the browser window.
Example 3
iebaltab outcome1 outcome2 outcome3, grpvar(treatment_variable) save("$project_folder\balancetable.xlsx") rowvarlabels rowlabels("outcome1 Outcome variable 1 @ outcome2 Second outcome variable")
Example 3 builds on example 2. There are now 3 variables listed as balance variables. In option rowlabels() two of those balance variables have been given a new label to be displayed as row title instead of the variable name. Instead of outcome1 the row title will be "Outcome variable 1", and instead of outcome2 the rowtitle will be "Second outcome variable". For balance variable outcome3 that is not included in rowlabels(), the command will use the variable label defined for outcome3 as row title since option rowarlabels was specified. If outcome3 does not have any row variable defined, then the variable name will be used as row title, just like the default.