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Trading frictions in Indian village economies

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Trading frictions in Indian village economies
 
Identifier https://doi.org/10.7910/DVN/90WZHM
 
Creator Emerick, Kyle
 
Publisher Harvard Dataverse
 
Description 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."
 
Subject Social Sciences
 
Contributor Fliegner, Jasmin
 
Type Sample survey data
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