Data and Code for: Unintended Consequences of Lockdowns: COVID-19 and the Shadow Pandemic

Principal Investigator(s): View help for Principal Investigator(s) Saravana Ravindran, National University of Singapore; Manisha Shah, University of California-Los Angeles

Version: View help for Version V1

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Project Citation:

Ravindran, Saravana, and Shah, Manisha. Data and Code for: Unintended Consequences of Lockdowns: COVID-19 and the Shadow Pandemic. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-03-20. https://doi.org/10.3886/E165302V1

Project Description

Summary: This is the code and data repository for the article "Unintended Consequences of Lockdowns: COVID-19 and the Shadow Pandemic." Abstract: Violence against women is a problem worldwide, with economic costs ranging from 1-4% of global GDP. Using variation in the intensity of government-mandated lockdowns in India, we show that domestic violence complaints increase 0.48 SD in districts with the strictest lockdown rules. We find similarly large increases in cybercrime complaints. However, rape and sexual assault complaints decrease 0.4 SD in districts with the strictest lockdowns, consistent with decreased female mobility in public spaces, public transport, and workplaces. Longer-term analysis shows that increases in domestic violence complaints persist one year later, while other complaints related to rape, sexual assault, and cybercrimes return to pre-lockdown levels.

Scope of Project

Subject Terms: COVID-19; India; Violence Against Women

Geographic Coverage: India

Data Type(s): administrative records data; program source code; survey data

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V1 [2022-03-20]

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