Arun Chandrasekhar
Professor of Economics and Senior Fellow at the Stanford Institute for Economic Policy Research
Academic Appointments
-
Professor, Economics
-
Senior Fellow, Stanford Institute for Economic Policy Research (SIEPR)
Administrative Appointments
-
Assistant Professor, Department of Economics, Stanford University (2013 - Present)
-
Postdoctorial Researcher, Microsoft Research, New England (2012 - 2013)
-
Faculty Research Fellow, National Bureau of Economic Research ((NBER) (2014 - Present)
Honors & Awards
-
Empirical Microeconomists' Jamboree, Duke University (2014)
-
Phaal Curry Monster, Naga Jolokia ghost chili curry (2012)
-
Graduate Student Fund Award, Innovations for Poverty Action (IPA) (2011)
-
Graduate Research Fellowship, National Science Foundation (2007-2011)
-
Sanford S. Parker Prize, Columbia University (2007)
-
Phi Beta Kappa (inducted as a junior), Columbia University (2006)
Boards, Advisory Committees, Professional Organizations
-
Affiliate, Center for Effective Global Action (CEGA) (2014 - Present)
-
Affiliate, Theoretical Research in Development Economics (ThReD) (2013 - Present)
-
Affiliate, Stanford Institute for Economic and Policy Research (SIEPR) (2013 - Present)
-
Referee, AEJ: Applied Economics
-
Referee, AEJ: Microeconomics
-
Referee, American Economics Review
-
Referee, American Journal of Political Science
-
Referee, Econometrica
-
Referee, Economic Development and Cultural Change
-
Referee, Economic Journal
-
Referee, Journal of Agricultural Economics
-
Referee, Journal of Development Economics
-
Referee, Journal of Econometrics
-
Referee, Journal of the European Economic Association
-
Referee, Journal of Economic Theory
-
Referee, Journal of Finance
-
Referee, Journal of Health Economics
-
Referee, Journal of Labor Economics
-
Referee, Journal of Political Economy
-
Referee, Journal of Public Economics
-
Referee, PLoS One
-
Referee, Quantitative Economics
-
Referee, Quarterly Journal of Economics
-
Referee, Review of Economic Studies
-
Referee, Science
-
Reviewer, National Science Foundation and Program Committee Member for EC (2013 - 2013)
-
Reviewer, National Science Foundation and Program Committee Member for EC (2014 - 2014)
Professional Education
-
Ph.D., Massachusetts Institute of Technology, Economics (2012)
-
B.A., Columbia University, Mathematics (2007)
2024-25 Courses
- Development Economics III
ECON 216 (Spr) - Development Seminar
ECON 315 (Aut, Win, Spr) - Economic Development, Microfinance, and Social Networks
ECON 125 (Spr) - Social and Economic Networks
ECON 291 (Win) - Third-Year Seminar
ECON 300 (Aut, Spr) -
Independent Studies (4)
- Directed Reading
ECON 139D (Aut, Win, Spr) - Directed Reading
ECON 239D (Aut, Win, Spr) - Honors Thesis Research
ECON 199D (Aut, Win, Spr) - Practical Training
ECON 299 (Aut, Win, Spr)
- Directed Reading
-
Prior Year Courses
2023-24 Courses
- Development Economics III
ECON 216 (Spr) - Development Seminar
ECON 315 (Aut, Win, Spr) - Economic Development, Microfinance, and Social Networks
ECON 125 (Spr) - Social and Economic Networks
ECON 291 (Win)
2022-23 Courses
- Development Workshop
ECON 315 (Aut, Win, Spr)
2021-22 Courses
- Development Economics III
ECON 216 (Spr) - Development Workshop
ECON 315 (Aut, Win, Spr) - Economic Development, Microfinance, and Social Networks
ECON 125 (Spr) - Social and Economic Networks
ECON 291 (Spr)
- Development Economics III
Stanford Advisees
-
Doctoral Dissertation Reader (AC)
Daliah Al-Shakhshir, Lily Liu -
Doctoral Dissertation Advisor (AC)
Renan Chaves Yoshida, Ben Davies, Florencia Hnilo, Nicolas Suarez Chavarria -
Doctoral Dissertation Co-Advisor (AC)
Joao Francisco Pugliese, Alexandr Lenk, Anirudh Sankar -
Postdoctoral Research Mentor
Nicholas Swanson
All Publications
-
The Diffusion of Microfinance
SCIENCE
2013; 341 (6144): 363-?
Abstract
To study the impact of the choice of injection points in the diffusion of a new product in a society, we developed a model of word-of-mouth diffusion and then applied it to data on social networks and participation in a newly available microfinance loan program in 43 Indian villages. Our model allows us to distinguish information passing among neighbors from direct influence of neighbors' participation decisions, as well as information passing by participants versus nonparticipants. The model estimates suggest that participants are seven times as likely to pass information compared to informed nonparticipants, but information passed by nonparticipants still accounts for roughly one-third of eventual participation. An informed household is not more likely to participate if its informed friends participate. We then propose two new measures of how effective a given household would be as an injection point. We show that the centrality of the injection points according to these measures constitutes a strong and significant predictor of eventual village-level participation.
View details for DOI 10.1126/science.1236498
View details for Web of Science ID 000322259200039