Essays on econometrics and development economics
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Abstract
This dissertation discusses econometrics and development economics, blending advanced methodologies to address distinct yet interconnected issues across these fields. In the first chapter, I utilize the Bayesian inference framework to explore the determinants of pairwise stable network formation in rural Indian villages, highlighting the influence of financial accessibility on social relationships. In the second chapter, I introduce an econometric approach for estimating partially identified parameters in models with moment inequalities, showcasing its application through examples from the US vehicle market and hospital referral models. In the third chapter, a novel method is presented for inferring social network structures using Aggregate Relational Data, offering a cost-effective strategy for network analysis with limited detailed data. Each chapter contributes to understanding complex economic and social networks, with implications for policy and further research.
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2024