Publications
Caste Identity and Teachers' Biased Expectations: Evidence from Bihar, India
Journal of Development Economics, 179, 103650 (2026)
We investigate whether teachers hold systematically biased expectations about students based on caste identity, using data from a large, detailed, and representative survey of public schools in Bihar, India. Students take standardized tests that determine their actual academic rank, while teachers independently rate each student's relative standing within the class. The gap between a student's actual rank and their teacher's perceived rating gives us a measure of the teacher's Evaluation Bias. Using a teacher fixed-effect approach, we find that forward caste teachers systematically underestimate the performance of backward caste students compared to forward caste peers taught in the same class. These caste-based differences in Evaluation Bias remain robust to alternative definitions of backward caste status and different measures of students' performance.
The Role of Nudges in Reducing Exponential Growth Bias and Increasing Safety Compliance in COVID Times
Review of Behavioral Economics, Vol. 13, No. 2, pp. 358–378 (2026)
Exponential growth bias (EGB), the tendency to underestimate exponential trends, has been linked to lower compliance with safety guidelines during the COVID-19 pandemic. This study uses an online experiment with 631 Indian participants to evaluate the effectiveness of three behaviorally informed nudges: numerical feedback, graphical feedback, and forecast range prompts. While prior research shows that increasing the frequency of forecasting modestly reduces EGB, the authors find that combining this approach with feedback and forecast-range-based interventions eliminates the bias entirely. These reductions are associated with significant improvements in self-reported compliance and shifts in the perceived effectiveness of government crisis management. The results highlight the potential of low-cost, behaviorally informed interventions to strengthen public health communication and improve behavioral responses during health emergencies.
Stopping the Rot I: A Review of Models and Experimental Methods of Corruption Experiments
The Political Economy of Corruption, Routledge, pp. 100–114 (2023)
In a two-part review, we focus on the behavioral experimental literature on corruption from the past decade with a particular focus on papers that offer behavioral insights into corrupt decision-making. In this first chapter, we restrict attention to the prominent theoretical models that have been used in the literature to lay out the framework of analysis in the corruption literature. We then discuss the important methodological issues related to the measurement of corruption, especially when using lab experiments.
Stopping the Rot II: Consequences, Causes and Policy Lessons from Recent Experiments on Corruption
The Political Economy of Corruption, Routledge, pp. 115–138 (2023)
In this second chapter of the two-chapter review on corruption research, we start with a discussion of the consequences of corruption. We follow up with the fundamental causes of corruption identified in the literature, which also serves to anchor the subsequent section that examines recent advances on the policy levers designed to fight corruption using experimental methods. We end with some thoughts on avenues for future research.
Selected Work in Progress
Does Teacher Caste Matter for Student Mental Health? Evidence from Bihar, India
Impact of ESG Disclosure on Labour Preference: A Developing Nation Perspective
Demographic and Behavioural Representativeness of Indian Online Labour Market
Truth or Lies: Experimental Enquiry of Dishonesty in Repeated Reporting Scenarios