Datasets 'Bt cotton, social networks and risk in rural India' & 'Education and marriage in rural India'

<strong>Datasets collected by A. Maertens. Zip files containing pdf / doc / dta files.</strong>
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Stata (https://www.stata.com/) is required to view the .dta files - please refer to the read me.pdf before using the data collected. 
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<strong>Introduction</strong>
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These data were collected in the framework of Dr. Annemie Maertens’ PhD dissertation during the period August 2007 – July 2009. The dissertation was undertaken from Cornell University, but executed in India in collaboration with the International Crops Research Institute for the Semi-Arid Tropics (ICRISAT). The project was sponsored through an NSF Doctoral Dissertation Improvement Grant (Grant No. 0649330).
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The main goal of this project was to collect and analyze household survey data in the Indian states of Andhra Pradesh and Maharashtra in order to gain a better understanding of the role of social networks and identity in economic decision-making. The first panel of this research studied the role of social learning and social pressures in Bacillus thurigiensis (Bt) cotton adoption using data from three villages (Aurepalle, Kanzara and Kinkhed).
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The data collection consisted of five phases: (1) qualitative round (to determine the topic of the two panels); (2) trial round (to field test the questionnaires); (3) training round (to train the enumerators); (4) quantitative collection round (to collect the household level, village level data); (4’) data entry of (4) ; (5) data validation round (to collect additional data to correct the missing variables and inconsistencies uncovered in (4’)).
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<strong>Published papers resulting from these data</strong>
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Maertens, A., AV Chari and D.R. Just. 2014. ‘Why Farmers Sometimes Love Risks: Evidence from India.’ Economic Development and Cultural Change, 62(2): 239-274 DOI: 10.1086/674028    
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Maertens, A., AV Chari and D.R. Just. 2014. ‘Why Farmers Sometimes Love Risks: Evidence from India.’ Economic Development and Cultural Change, 62(2): 239-274. DOI: 10.2139/ssrn.2024678   
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Maertens, A. and C.B. Barrett. 2013. ‘Empirical Methods for Identifying Social Network Effects on Technology Adoption.’ American Journal of Agricultural Economics Papers and Proceedings, 95(2):353-359. DOI:10.1093/ajae/aaw098