Dear Statalists,
In order to obtain 2 groups, one composed by treated and the other composed by untreated, I typed the following command in Stata:
psmatch2 eligible NoofComponentsEquiv Geographicalarea Qualityofincomeresponse Employmentactivity Ageclass Educationlevel Freecash Income Makeendsmeet Deltasampleweight1412 DeltaNoofemployee2014201 DeltaNoofhigheducated2014 DeltaNoofolderpeople20142 DELTAINCOME, out(consdiff) common caliper(0.01) neighbor(1) noreplacement ate odds
In which:
i) eligible is a dummy variable that is equal to 1 if an household received, in 2014, the so-called "80 euro Renzi's bonus", 0 otherwise.
ii) consdiff is the difference between the 2014 consumption level and the 2012 consumption level of 2012, for each household.
iii) the other variables are economic and demographic variables.
Here my problem, that refers to the first "part" of the output.
I obtained the following output, but I have no idea how to interpret it. Could someone help me?
In particular, I have this question: does that output refer only to "on support" household (both treated and untreated)?
You will find the dataset in the attached.
-----------------------------------------------------------------------------
> ----------
Variable Sample | Treated Controls Difference S.E
> . T-stat
----------------------------+-------------------------------------------------
> ----------
consdiff Unmatched | -246020998 -189774326 -56246671.5 20940341
> 3 -0.27
ATT |-84536565.6 -33053518.9 -51483046.6 34387764
> 2 -0.15
ATU | -321560215 -203741239 117818975
> . .
ATE | 33113735.7
> . .
----------------------------+-------------------------------------------------
> ----------
Note: S.E. does not take into account that the propensity score is estimated.
psmatch2: | psmatch2: Common
Treatment | support
assignment | Off suppo On suppor | Total
-----------+----------------------+----------
Untreated | 2,814 780 | 3,594
Treated | 83 781 | 864
-----------+----------------------+----------
Total | 2,897 1,561 | 4,458 DATASET - Csv2 - VERO.xlsx
In order to obtain 2 groups, one composed by treated and the other composed by untreated, I typed the following command in Stata:
psmatch2 eligible NoofComponentsEquiv Geographicalarea Qualityofincomeresponse Employmentactivity Ageclass Educationlevel Freecash Income Makeendsmeet Deltasampleweight1412 DeltaNoofemployee2014201 DeltaNoofhigheducated2014 DeltaNoofolderpeople20142 DELTAINCOME, out(consdiff) common caliper(0.01) neighbor(1) noreplacement ate odds
In which:
i) eligible is a dummy variable that is equal to 1 if an household received, in 2014, the so-called "80 euro Renzi's bonus", 0 otherwise.
ii) consdiff is the difference between the 2014 consumption level and the 2012 consumption level of 2012, for each household.
iii) the other variables are economic and demographic variables.
Here my problem, that refers to the first "part" of the output.
I obtained the following output, but I have no idea how to interpret it. Could someone help me?
In particular, I have this question: does that output refer only to "on support" household (both treated and untreated)?
You will find the dataset in the attached.
-----------------------------------------------------------------------------
> ----------
Variable Sample | Treated Controls Difference S.E
> . T-stat
----------------------------+-------------------------------------------------
> ----------
consdiff Unmatched | -246020998 -189774326 -56246671.5 20940341
> 3 -0.27
ATT |-84536565.6 -33053518.9 -51483046.6 34387764
> 2 -0.15
ATU | -321560215 -203741239 117818975
> . .
ATE | 33113735.7
> . .
----------------------------+-------------------------------------------------
> ----------
Note: S.E. does not take into account that the propensity score is estimated.
psmatch2: | psmatch2: Common
Treatment | support
assignment | Off suppo On suppor | Total
-----------+----------------------+----------
Untreated | 2,814 780 | 3,594
Treated | 83 781 | 864
-----------+----------------------+----------
Total | 2,897 1,561 | 4,458 DATASET - Csv2 - VERO.xlsx
Comment