I’m excited to announce the release of a new Stata command, weai, which is now available for installation using:
The command is designed to facilitate the computation and analysis of the Women's Empowerment in Agriculture Index (WEAI), a survey tool used to measure gender equality, empowerment, agency, and women’s inclusion in the agricultural sector. After survey data has been processed to create composite (binary) indicators using the dataprep do file (available on the WEAI Resource Center: https://weai.ifpri.info), the weai command can be used to calculate all versions of the index. The command will also calculate several sub-indices, such as the gender parity index and the 3 (or 5) domains of empowerment.
Try the following code to calculate the project-level women's empowerment in agriculture index (Pro-WEAI) using all 10 core indicators. The details option returns additional tables showing inadequacy headcount ratios, as well as the relative contribution of each indicator to disempowerment. While not specified in this example, the save and graph options will save the additional tables and generate and save a hanging bar graph displaying the absolute contribution of each indicator to disempowerment.
To learn more about the weai command, check out the Stata Journal article here:
https://journals.sagepub.com/doi/abs...6867X241297923
Code:
ssc install weai
Try the following code to calculate the project-level women's empowerment in agriculture index (Pro-WEAI) using all 10 core indicators. The details option returns additional tables showing inadequacy headcount ratios, as well as the relative contribution of each indicator to disempowerment. While not specified in this example, the save and graph options will save the additional tables and generate and save a hanging bar graph displaying the absolute contribution of each indicator to disempowerment.
Code:
* Example generated by -dataex-. For more info, type help dataex clear ssc install weai input float hhid double(mid sex hh_type) float(autonomy_inc selfeff never_violence feelinputdecagr assetownership credit_accdec incomecontrol work_balance mobility groupmember) 1 1 1 1 1 0 0 1 1 1 1 1 0 0 1 2 2 1 1 0 0 1 1 1 1 0 0 0 3 3 1 1 1 1 1 1 1 1 1 0 1 0 3 4 2 1 1 0 1 0 1 1 0 0 0 0 5 1 1 1 1 1 1 1 1 1 0 1 1 0 5 2 2 1 1 0 1 1 1 1 1 1 0 0 7 1 1 1 1 0 1 1 1 1 1 0 1 0 7 2 2 1 1 1 0 1 0 1 1 1 1 0 9 1 1 1 1 1 1 1 1 1 1 0 1 0 9 2 2 1 1 1 0 0 1 1 1 0 0 0 11 3 1 1 1 1 1 1 1 1 1 0 0 0 11 4 2 1 1 1 1 1 1 1 1 1 0 0 13 1 1 1 0 0 1 1 1 1 1 0 1 0 13 2 2 1 1 1 1 1 1 1 1 0 0 0 15 1 1 1 1 0 1 1 1 1 1 1 1 0 15 2 2 1 1 1 1 1 1 1 1 0 1 0 17 1 1 1 1 0 1 1 1 1 0 0 1 0 17 2 2 1 1 1 1 1 1 1 1 1 0 0 19 1 1 1 1 1 0 0 1 1 0 1 1 0 19 2 2 1 1 1 1 1 1 1 1 1 1 0 21 1 1 1 1 0 0 0 1 1 1 1 0 0 21 2 2 1 1 1 1 1 1 1 1 0 0 0 23 1 1 1 1 1 1 1 1 1 1 1 1 0 23 2 2 1 1 1 0 1 1 1 1 0 0 0 25 1 1 1 1 0 1 1 1 1 1 1 1 0 25 2 2 1 1 1 0 1 1 1 1 1 1 0 27 1 1 1 1 0 1 1 1 1 1 0 1 0 27 2 2 1 1 1 0 1 1 1 1 0 1 0 29 1 1 1 1 1 1 1 1 1 1 1 1 0 29 3 2 1 1 1 1 1 1 1 1 1 0 0 end label values sex WG01_03 label def WG01_03 1 "Male", modify label def WG01_03 2 "Female", modify label values hh_type WG01_04 label def WG01_04 1 "Male and female adult", modify weai d1(autonomy_inc selfeff never_violence) d2(feelinputdecagr assetownership credit_accdec incomecontrol work_balance mobility) d3(groupmember), sex(sex) female(2) hhid(hhid) details
To learn more about the weai command, check out the Stata Journal article here:
https://journals.sagepub.com/doi/abs...6867X241297923
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