1 option
Network Structure and the Aggregation of Information: Theory and Evidence from Indonesia / Vivi Alatas, Abhijit Banerjee, Arun G. Chandrasekhar, Rema Hanna, Benjamin A. Olken.
- Format:
- Book
- Author/Creator:
- Alatas, Vivi.
- Series:
- Working Paper Series (National Bureau of Economic Research) no. w18351.
- NBER working paper series no. w18351
- Language:
- English
- Physical Description:
- 1 online resource: illustrations (black and white);
- Place of Publication:
- Cambridge, Mass. National Bureau of Economic Research 2012.
- Summary:
- We use unique data from 600 Indonesian communities on what individuals know about the poverty status of others to study how network structure influences information aggregation. We develop a model of semi-Bayesian learning on networks, which we structurally estimate using within-village data. The model generates qualitative predictions about how cross-village patterns of learning relate to different network structures, which we show are borne out in the data. We apply our findings to a community-based targeting program, where villagers chose which households should receive aid, and show that networks the model predicts to be more diffusive differentially benefit from community targeting.
- Notes:
- Print version record
- August 2012.
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.