arun g. chandrasekhar


[home] [cv] [research] [research statement] [teaching]


themes. [social learning] [signaling and reputation] [statistics] [health] [informal markets]

publications

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: 120.21 (2023): e2207185120. [supplementary information]

identifying the latent space geometry of network models through analysis of curvature (with shane lubold and tyler mccormick), journal of the royal statistical society series b: statistical methodology: 85.2 (2023): 240-292

using aggregated relational data to feasibly identify network structure without network data (with emily breza, tyler mccormick, and mengjie pan, august 2019). american economic review (july, 2020): vol. 110 no. 8 doi:10.1257/aer.20170861 [online appendix], [estimation code].

surveys and non-refereed publications

econometrics of network formation. oxford handbook on the economics of networks. (edited by yann bramoulle, andrea galeotti and brian rogers, 2016)

working papers

revising...

selecting the most effective nudge: evidence from a large-scale experiment on immunization (with abhijit banerjee, suresh dalpath, esther duflo, john floretta, matthew o. jackson, harini kannan, francine loza, anirudh sankar, anna schrimpf, and maheshwor shrestha), [revise and resubmit at econometrica]

a network formation model based on subgraphs (with matthew o. jackson, march 2021) [3rd round revise and resubmit at the review of economic studies]

best linear approximations to set identified functions: with an application to the gender wage gap (with victor chernozhukov, francesca molinari, and paul schrimpf, december 2018) [revision requested at quantitative economics]

in progress...

non-robustness of diffusion estimates on networks with measurement error (with paul goldsmith-pinkham, tyler h. mccormick, samuel thau, and jerry wei)

general covariance-based conditions for central limit theorems with dependent triangular arrays (with matthew o. jackson, tyler mccormick, and vydhourie thiyageswaran)

small changes in survey recruitment protocols lead to large differences in policymaker inference: evidence from a randomized controlled trial on covid-19 surveillance (with marcella alsan, abhijit banerjee, emily breza, esther duflo, paul goldsmith-pinkham, weston merrick, and benjamin olken)

some work in progress

the design and analysis of experiments under interference using partial network data (with steve wilkins-reeves, shane lubold, alex philips, and tyler mccormick)

bayesian treatment variant aggregation (with tyler mccormick and apara venkat)

old stuff

econometrics of sampled networks (with randall lewis, november 2016)

tractable and consistent random graph models (with matthew o. jackson, june 2014), nber working paper #20276, arXiv. replaced by a network formation model based on subgraphs.