Dear Stata community, I am new to quantitative methods and have self-learned and applied propensity score matching on a cross-sectional dataset. The study examines whether women's participation in entrepreneurial teams is related with women's socio-cultural emancipation. The data was hand-collected by the Brazilian Government. We have two independent variables (women's prevalence in the organization and women's prevalence in coordination roles in the enterprise) and one dependent variable (women's emancipation defined as women's performance of traditional female-typed roles).
For one of our post-hoc analyses, I ran PSM to test for potential endogeneity, where I defined two different treatments (%women > 50% and %women coordinators>50%). The ATT for the 'women coordinators' treatment is insignificant. Also, the values of means of treatment and control groups are exactly the same before and after matching (see output below). Am I right to interpret that the treatment and control groups are not likely to experience different emancipatory outcomes in this case? Can I do something else to test whether these two groups are different?
Thank you, in advance, for your help!
Key value from PSM output:
ATT (Treated 1.17919075 Controls 1.05202312 Difference 0.12716763 S.E. 0.129365155 T-stat 0.98)
Table of balance before and after matching:
For one of our post-hoc analyses, I ran PSM to test for potential endogeneity, where I defined two different treatments (%women > 50% and %women coordinators>50%). The ATT for the 'women coordinators' treatment is insignificant. Also, the values of means of treatment and control groups are exactly the same before and after matching (see output below). Am I right to interpret that the treatment and control groups are not likely to experience different emancipatory outcomes in this case? Can I do something else to test whether these two groups are different?
Thank you, in advance, for your help!
Key value from PSM output:
ATT (Treated 1.17919075 Controls 1.05202312 Difference 0.12716763 S.E. 0.129365155 T-stat 0.98)
Table of balance before and after matching:
| Before Matching | After Matching | Differences in Means of Treatment and Control Groups | ||||||||||||||
| Treatment [W Coord > 50%] | Control [W Coord <=50%] | Treatment [W Coord> 50%] | Control [W Coord <=50%] | Before Matching | After Matching | |||||||||||
| Mean | SD | Mean | SD | Mean | SD | Mean | SD | Coeff. | S.E. | P | Coeff. | S.E. | P | |||
| Emancipation | 1.179 | 1.219 | 0.995 | 1.126 | 1.179 | 1.219 | 0.995 | 1.126 | -0.185 | -0.095 | -0.054 | -0.185 | -0.095 | -0.054 | ||
| SEE Size (log) | 1.797 | 0.812 | 2.69 | 1.163 | 1.797 | 0.812 | 2.69 | 1.163 | 0.894*** | -0.066 | 0 | 0.894*** | -0.066 | 0 | ||
| Rural Operation Only | 0.358 | 0.481 | 0.33 | 0.47 | 0.358 | 0.481 | 0.33 | 0.47 | -0.028 | -0.038 | -0.459 | -0.028 | -0.038 | -0.459 | ||
| SEE is Informal Group | 0.665 | 0.473 | 0.578 | 0.494 | 0.665 | 0.473 | 0.578 | 0.494 | -0.087* | -0.037 | -0.021 | -0.087* | -0.037 | -0.021 | ||
| SEE is Profitable | 0.717 | 0.452 | 0.666 | 0.472 | 0.717 | 0.452 | 0.666 | 0.472 | -0.051 | -0.036 | -0.157 | -0.051 | -0.036 | -0.157 | ||
| Rightwing Ideology | 0.518 | 0.106 | 0.501 | 0.122 | 0.518 | 0.106 | 0.501 | 0.122 | -0.017* | -0.008 | -0.04 | -0.017* | -0.008 | -0.04 | ||
| N | 173 | 2591 | 173 | 2591 | 2764 | 2764 | ||||||||||
