In Delhi, India, a significant gender gap in college education persists, partly due to the lack of safe and reliable transportation. Since most students commute daily, access to transportation is a critical factor in their college enrollment decisions, typically made at age 18. This paper investigates the impact of access to the Delhi Metro- a vast public transit system which provides reliable and safe transportation to millions of people daily- on women’s college enrollment and completion rates. The metro is equipped with CCTV cameras, police presence in stations and a well-enforced ladies-only coach on every train. Results show Delhi Metro access increases women’s college enrollment by 12.6 percentage points and completion by 12.9 percentage points, while raising total education by 1.1 years. I find null effects of the metro on men’s college education outcomes. Using a Staggered Difference-in- Differences (DiD) approach, I exploit two sources of variation— location and timing of metro access—to estimate its causal impact on education. First, I compare areas that receive metro access to those scheduled to receive it later. Second, I compare cohorts who gain metro access before turning 18 to those who do so afterward. I use the Demographic and Health Surveys (DHS) from India, a repeated cross-sectional dataset with displaced location coordinates. Using geospatial analysis, I create square grids and convert this dataset into a grid-level panel with refined location coordinates to achieve more robust and precise estimates of metro access on education. This study is among the first to examine college education in India at the extensive margin and the first to establish a direct link between metro access and women’s higher education in Delhi. By highlighting the previously undiscovered impacts of the metro, it underscores the role of transportation infrastructure in closing gender gaps in education.
A Comment on Dincecco et al. (2022): Pre-Colonial Warfare and Long-Run Development in India (with Rachel Forshaw, Tim Olkers and Ritika Sethi), 2022, Canadian Journal of Economics
We test the reproducibility and replicability of Dincecco et al. (2022), which reports a positive relationship between pre-colonial interstate warfare and long-run development patterns across India. Overall, we confirm that all of the study’s estimates are computationally reproducible by using both the provided replication package in Stata and code written by the present authors in R. We test for and find no evidence of data manipulation in the final datasets. Concerning direct replicability, we consider different ways of measuring distance to conflicts and also alternative proxies for both the dependent variable and variables which capture channels by which the main effects operate. We are able to replicate the magnitude and significance of the estimated coefficient on conflict exposure in most of the tests, noting that while most estimates are substantively in line with the original study, some alternative measures of distance to conflict imply different magnitudes for estimates, and proxy estimates are sensitive to both the time period and type of conflict considered.
Labor-Related Knowledge Transfers from Chinese Foreign Direct Investment in Ethiopia and Tanzania (with Mia Ellis and Margaret McMillan), 2021, IFPRI Discussion Paper
We examine worker training by Chinese manufacturing firms using nationally representative firm-level data from both Ethiopia and Tanzania. While Chinese firms make up a relatively small portion of the manufacturing industry in both Ethiopia and Tanzania, at the firm-level they contribute significantly to both domestic employment and labor training. In both countries more than 85 percent of the workers employed by Chinese firms are local, and Chinese firms (and other foreign firms) are more likely to offer labor training than their domestic counterparts. However, we find evidence that Chinese firms underperform relative to other foreign firms in the share of local workers employed, and in Tanzania the difference is especially large for managerial positions.
Too Hot to Handle: Impact of heat shocks on gender-disaggregated time allocation among labor in Nigeria (with Carlo Azzarri, IFPRI and Joaquin Mayorga, EPAR)
This paper examines the response strategies of female and male workers in Nigeria to extreme heat shocks, to understand gender disparities in climate sensitivity. Using the Living Standards Measurement Study (Nigeria) panel dataset and satellite weather data, we quantify the effects of weather shocks on own-farm, wage, and non-farm enterprise work hours, alongside time spent on domestic tasks. We find that heat shocks induce a reallocation of labor for both men and women, but while women experience a significant increase in time devoted to domestic work, there is no significant increase for men. Consequently, the overall burden of adjustment falls disproportionately on women.
An Analysis of the No Detention Policy in India
This paper examines the mandatory pass policy introduced by the Government of India in 2009 under the Right to Education Act, which prohibited failing students until the completion of grade 8. Exploiting state-level variation in pre-policy pass practices and cohort-level exposure to the mandate, I study four outcomes: years of education, literacy, enrollment, and labor force participation. Across all four measures, I find null results (including for women and non-general castes). The evidence suggests the policy not only failed to improve the outcomes policymakers expected, but was associated with declining test scores.