Scholar
Arun G. Chandrasekhar
Google Scholar ID: iT7_PykAAAAJ
Professor of Economics, Stanford University
Citations & Impact
Citations
4,318
H-index
27
i10-index
35
Publications
20
Co-authors
14
list available
Contact
Publications
Resume (English only)
Academic Achievements
- - Epistemic fragility, concept discovery and robustness; the limits of generalizability and meta-analyses (2025)
- - Generalizability With Ignorance in Mind (with Emily Breza and Davide Viviano, 2025)
- - On Tubes; or, Model-Building from Rich Data by Isolating Concepts (with Matthew Jackson, Tyler McCormick, Karl Rohe, and Brian Xu, 2025)
- - Rashomon Partition Sets for Robust Experimental Design: Extending Bandit and Adaptive Methods (with Tyler McCormick, Dev Patel, and Annika Younge, in progress)
- - Robustly Estimating Heterogeneity in Factorial Data Using Rashomon Partitions (with Aparajithan Venkateswaran, Anirudh Sankar, and Tyler McCormick, 2nd round resubmission to JRSS-B, 2025)
- - Selecting the Most Effective Nudge: Evidence from a Large-Scale Experiment on Immunization (with Banerjee et al., Econometrica, 2025)
- - Small Surveys, Fragile Estimates: How Recruitment Framing and Moral Disposition Shape Inference (with Alsan et al., in progress)
- - Non-Robustness of Diffusion Estimates on Networks with Measurement Error (with Paul Goldsmith-Pinkham, Tyler McCormick, Samuel Thau, and Jerry Wei, resubmitted to Econometrica, 2025)
- - Interacting Regional Policies in Containing a Disease (with Paul Goldsmith-Pinkham, Matthew Jackson, and Samuel Thau, Proceedings of the National Academy of Sciences, 2021)
- - General Covariance-Based Conditions for Central Limit Theorems and Concentration Inequalities with Dependent Triangular Arrays (with Matthew Jackson, Tyler McCormick, Vydhourie Thiyageswaran, 2025)
- - A Network Formation Model Based on Subgraphs (with Matthew Jackson, Review of Economic Studies, 2025)
- - Identifying the Latent Space Geometry of Network Models through Analysis of Curvature (with Shane Lubold and Tyler McCormick, JRSS-B, 2023)
- - On the Assumption of Local Structure (with Matthew Jackson and Samuel Thau, in progress)
- - Model-Based Inference and Experimental Design for Interference Using Partial Network Data (with Steve Wilkins Reeves, Shane Lubold, and Tyler McCormick, 2024)
- - Consistently Estimating Graph Statistics using Aggregated Relational Data (with Emily Breza, Shane Lubold, Tyler Mccormick, and Mengjie Pan, Proceedings of the National Academy of Sciences, 2023, Supplement)
- - Using Aggregated Relational Data to Feasibly Identify Network Structure without Network Data (with Emily Breza and Tyler McCormick, American Economic Review, 2020)
- - Can a Trusted Messenger Change Behavior when Information is Plentiful? Evidence from the First Months of the COVID-19 Pandemic in West Bengal (with Ban et al.)
Research Experience
- Professor of Economics, Stanford University.
Background
- Development economist. I (mostly) study India. I study social learning, informal finance, partial market completion, health behavior, and redistribution, among other things, mostly using experiments. I think a lot about what we as researchers can know, what we miss, and how to design when inference is fragile. Sometimes we can see what’s going on. Sometimes we learn that we can’t. That’s where things get interesting. I build statistical or theoretical tools along the way when needed.
