Data set from experiment analyzing the causal effects of having female politicians in government on policy outcomes
women
A data frame with 322 rows and 6 variables:
integer: identifier for the Gram Panchayat (GP)
integer: identifier for each village
integer: binary variable indicating whether the GP was reserved for women leaders or not
integer: binary variable indicating whether the GP had a female leader or not
integer: variable measuring the number of new or repaired irrigation facilities in the village since the reserve policy started
integer: variable measuring the number of new or repaired drinking water facilities in the village since the reservation policy started
See QSS Table 4.7.
Imai, Kosuke. 2017. Quantitative Social Science: An Introduction. Princeton University Press. URL.
Raghabendra Chattopadhyay and Esther Duflo (2004) “Women as policy makers: Evidence from a randomized policy experiment in India.” Econometrica, vol. 72, no. 5, pp. 1409–1443. doi: 10.1111/j.1468-0262.2004.00539.x