Research

Working Papers

The Evolution of the COVID-19 Pandemic Through the Lens of Google Searches (with R. Marty, N. Khan, A. Reichert), Nature Scientific Reports

Real-time data is essential for policymakers to adapt to a rapidly evolving situation like the COVID-19 pandemic. Using data from 221 countries and territories, we demonstrate the capacity of Google search data to anticipate reported COVID-19 cases and understand how containment policies are associated with changes in socioeconomic indicators. First, search interest in COVID-specific symptoms such as “loss of smell” strongly correlated with cases initially, but the association diminished as COVID-19 evolved; general terms such as “COVID symptoms” remained strongly associated with cases. Moreover, trends in search interest preceded trends in reported cases, particularly in the first year of the pandemic. Second, countries with more restrictive containment policies experienced greater search interest in unemployment and mental health terms after policies were implemented, indicating socio-economic externalities. Higher-income countries experienced a larger increase in searches related to unemployment and a larger reduction in relationship and family planning keywords relative to lower-income countries. The results demonstrate that real-time search interest can be a valuable tool to inform policies across multiple stages of the pandemic.

The Role of Justice in Development: The Data Revolution (with D. Chen), Policy Research Working Paper; No. 9720. World Bank, Washington, DC

This paper summarizes the empirical evidence on the role of justice in economic development, conflict, and trust in institutions. It finds that justice institutions play a significant role in economic development, particularly through their impact on credit markets and firm growth, the protection of vulnerable populations, their capacity to deter violence, and their influence over people’s trust in formal institutions. The paper then considers the promise of administrative data, machine learning, and randomized controlled trials to enhance the efficiency, access, and quality of justice. The paper concludes by discussing new avenues for research and the potential for data to improve the functioning of justice systems in the age of COVID-19.

Do Judges Favor their Own Ethnicity and Gender? Evidence from Kenya (with D. Chen, J. Graham, S. Singh), Policy Research working paper, no. WPS 9956, Impact Evaluation series. Washington, DC

Abstract: Evidence from high-income countries suggests that judges often exhibit in-group bias, favoring litigants that share an identity with the judge. However, there is little evidence on this phenomenon from the Global South. Collecting the available universe of High Court decisions in Kenya, this paper leverages the random assignment of cases to judges to evaluate the existence of in-group bias along gender and ethnic lines. It finds that, relative to a baseline win rate of 43 percent, defendants are 4 percentage points more likely to win if they share the judge’s gender and 5 percentage points more likely to win if they share the judge’s ethnicity. The paper finds that the written judgements are on average shorter and less likely to be cited when defendants who are of the same gender or ethnicity as the judge win their case. This is consistent with in-group biased decisions being of lower quality. In addition, the findings show that female defendants are less likely to win the case if the judge exhibits stereotypical or negative attitudes towards women in their writings.

Work in Progress

Data Science for Justice: Evidence from a Randomized Judicial Reform in the Kenyan Judiciary (with M. Chemin, D. Chen, V. Di Maro, P. Kimalu, M. Mokaya)

Information Frictions and Court Performance: Experimental Evidence from Chile (with P. Carrillo, D. Chen, B. Silveira)

Building Courts: Effects on Access to Justice and Economic Development (with M. Chemin, D. Chen, P. Kimalu)

Training and Bureaucratic Performance: Evidence from Peruvian Judges (with D. Chen, B. Silveira)