women: Women as Policy Makers Experiment

In kosukeimai/qss-data: Data and Code for "Quantitative Social Science: An Introduction"

Women as Policy Makers Experiment

Description

Data set from experiment analyzing the causal effects of having female politicians in government on policy outcomes

Usage

women

Format

A data frame with 322 rows and 6 variables:

GP

integer: identifier for the Gram Panchayat (GP)

village

integer: identifier for each village

reserved

integer: binary variable indicating whether the GP was reserved for women leaders or not

female

integer: binary variable indicating whether the GP had a female leader or not

irrigation

integer: variable measuring the number of new or repaired irrigation facilities in the village since the reserve policy started

water

integer: variable measuring the number of new or repaired drinking water facilities in the village since the reservation policy started

Details

See QSS Table 4.7.

References

• 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

kosukeimai/qss-data documentation built on April 20, 2022, 2:26 p.m.