Title: Trading frictions in Indian village economies
Type Dataset Emerick, Kyle (2020): Trading frictions in Indian village economies. Harvard Dataverse. Dataset. https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/90WZHM
Links
- Item record in Abdul Latif Jameel Poverty Action Lab Dataverse
- Digital object URL
Summary
This package contains the replication data for: "Trading frictions in Indian village economies". The data include the underlying raw and estimation data files, the replication code and the questionnaires. There are 6 datasets containing data from 4 surveys: a survey with original recipients in June 2013, a survey with non-recipient farmers in February / March 2013 and June 2013, and an adoption census carried out during August of 2015. The files also contain satellite observations from Google Earth Engine. The code is produced in Stata and contains the analysis code. For further details on the data or how to run the code, please see the readme file. The abstract of the paper is as follows: "This paper presents evidence of trading frictions in rural Indian villages. I first introduced a new seed variety to a random subset of farmers in 82 villages. I then allowed the new variety to diffuse through farmer-to-farmer trading in a random half of villages. This mode of exchange is compared with demand that was approximated by selling the same seeds directly to farmers in the other half of villages. I find that direct trading between farmers leads to substantial under-adoption when compared to door-to-door sales — suggesting that trading frictions exist and represent a barrier to technological diffusion. Caste identity explains some, but not all, of this puzzle. Specifically, farmers sharing the same surname or belonging to the same subcaste as the original seed recipients adopt at higher rates when farmers trade amongst themselves. Overall, the trading frictions in farmer-to-farmer exchange are severe enough to make door-to-door sales cost effective."
More information
- DOI: 10.7910/DVN/90WZHM
Subjects
- Social Sciences
- CESSDA: Social behaviour and attitudes, Agriculture and rural industry
Dates
- Publication date: 2020
- Submitted: April 20, 2020
- Updated: July 25, 2022
- Collected: 2013-2 to 2015-07
Notes
Datacite resource type: Sample survey dataRights
- info:eu-repo/semantics/openAccess
- http://creativecommons.org/publicdomain/zero/1.0 CC0 1.0
Funding Information
Awardnumber | Awarduri | Funderidentifier | Funderidentifiertype | Fundername |
---|---|---|---|---|
The World Bank | ||||
the Agricultural Technology Adoption Initiative of the Bill and Melinda Gates Foundation/J-PAL |
Format
electronic resource