25 citations · 37 across the 14 of their papers we have counts for
16 papers
Experimenting with Networks
Arun G. Chandrasekhar, Matthew O. Jackson
We provide an overview of methods for designing and implementing experiments (field, lab, hybrid, and natural) when there are networks of interactions between subjects.
Evidence aggregation with ignorance in mind: learning what we do (not) know for archetypes discovery
Emily Breza, Arun G. Chandrasekhar, Davide Viviano
When evaluating policy interventions, researchers often pursue two related goals: identifying which individuals or contexts benefit most, and determining whether patterns of treatm…
Multiplexing in Networks and Diffusion
Arun G. Chandrasekhar, Vasu Chaudhary, Benjamin Golub +1
Social and economic networks are often multiplexed, meaning that people are connected by different types of relationships -- such as borrowing goods and giving advice. We make two…
Non-robustness of diffusion estimates on networks with measurement error
Arun G. Chandrasekhar, Paul Goldsmith-Pinkham, Tyler H. McCormick +2
Network diffusion models are used to study disease transmission, information spread, technology adoption, and other socio-economic processes. We show that estimates of these diffus…
General Covariance-Based Conditions for Central Limit Theorems with Dependent Triangular Arrays
Arun G. Chandrasekhar, Matthew O. Jackson, Tyler H. McCormick +1
We present a general central limit theorem with simple, easy-to-check covariance-based sufficient conditions for triangular arrays of random vectors when all variables could be int…
Doctors and Nurses Social Media Ads Reduced Holiday Travel and COVID-19 infections: A cluster randomized controlled trial in 13 States
Emily Breza, Fatima Cody Stanford, Marcela Alsan +18
During the COVID-19 epidemic, many health professionals started using mass communication on social media to relay critical information and persuade individuals to adopt preventativ…
Selecting the Most Effective Nudge: Evidence from a Large-Scale Experiment on Immunization
Abhijit Banerjee, Arun G. Chandrasekhar, Suresh Dalpath +8
Policymakers often choose a policy bundle that is a combination of different interventions in different dosages. We develop a new technique -- treatment variant aggregation (TVA) -…
Identifying the latent space geometry of network models through analysis of curvature
Shane Lubold, Arun G. Chandrasekhar, Tyler H. McCormick
A common approach to modeling networks assigns each node to a position on a low-dimensional manifold where distance is inversely proportional to connection likelihood. More positiv…
Interacting Regional Policies in Containing a Disease
Arun G. Chandrasekhar, Paul Goldsmith-Pinkham, Matthew O. Jackson +1
Regional quarantine policies, in which a portion of a population surrounding infections are locked down, are an important tool to contain disease. However, jurisdictional governmen…
Consistently estimating network statistics using Aggregated Relational Data
Emily Breza, Arun G. Chandrasekhar, Shane Lubold +2
Collecting complete network data is expensive, time-consuming, and often infeasible. Aggregated Relational Data (ARD), which capture information about a social network by asking a…
When Celebrities Speak: A Nationwide Twitter Experiment Promoting Vaccination in Indonesia
Vivi Alatas, Arun G. Chandrasekhar, Markus Mobius +2
Celebrity endorsements are often sought to influence public opinion. We ask whether celebrity endorsement per se has an effect beyond the fact that their statements are seen by man…
Seeing the forest for the trees? An investigation of network knowledge
Emily Breza, Arun G. Chandrasekhar, Alireza Tahbaz-Salehi
This paper assesses the empirical content of one of the most prevalent assumptions in the economics of networks literature, namely the assumption that decision makers have full kno…
Using Aggregated Relational Data to feasibly identify network structure without network data
Emily Breza, Arun G. Chandrasekhar, Tyler H. McCormick +1
Social network data is often prohibitively expensive to collect, limiting empirical network research. Typical economic network mapping requires (1) enumerating a census, (2) elicit…
A Network Formation Model Based on Subgraphs
Arun G. Chandrasekhar, Matthew O. Jackson
We develop a new class of random graph models for the statistical estimation of network formation -- subgraph generated models (SUGMs). Various subgraphs -- e.g., links, triangles,…
Using Gossips to Spread Information: Theory and Evidence from a Randomized Controlled Trial
Abhijit Banerjee, Arun G. Chandrasekhar, Esther Duflo +1
Is it possible to identify individuals who are highly central in a community without gathering any network information, simply by asking a few people? If we use people's nominees a…
Inference for best linear approximations to set identified functions
Arun Chandrasekhar, Victor Chernozhukov, Francesca Molinari +1
This paper provides inference methods for best linear approximations to functions which are known to lie within a band. It extends the partial identification literature by allowing…