Social learning in a heterogeneous population: technology diffusion in the Indian Green Revolution

By Kaivan Munshi. 2004

924 citations recorded by the source corpus.

Subfields: Demography, Safety Research, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/2b32576f617d03769107b2da6959b181d00f76c3

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Citations in the corpus

Network Structure and the Aggregation of Information: Theory and Evidence from Indonesia (2016, positive): “…types of questions is important for policy design: for example, recent evidence suggests that the speed with which new agricultural technologies are adopted depends on who talks to whom about what (e.g., Munshi (2004), Bandiera and Rasul (2006), Duflo et al. (2004), and Conley and Udry (2010)).”
Insurance, Credit, and Technology Adoption: Field Experimental Evidence from Malawi (2007, neutral): “Farmers could therefore have perceived higher costs for default in the credit plus insurance product, leading that product to have lower take-up.”
Culture as Learning: The Evolution of Female Labor Force Participation Over a Century (2013, neutral): “See, for example, Griliches (1957), Foster and Rosenzweig (1995), Conley and Udry (2003), Munshi (2004), Munshi and Myaux (2006), and Bandiera and Rasul (2006).”
Leveling with friends: Social networks and Indian farmers' demand for a technology with heterogeneous benefits (2015, background): “…ti@ucdavis.edu (K. Gulati). technologies through their social networks (Bandiera and Rasul, 2006; Cai et al., 2015; Conley and Udry, 2010; Maertens, 2013; McNiven and Gilligan, 2012; Munshi, 2004).4 Less is known, however, about the role of heterogeneous information in the social learning process.”
Is farmer-to-farmer extension effective? The impact of training on technology adoption and rice farming productivity in Tanzania (2018, background): “…observe that social leaning or ‘‘learning from others” plays a significant role in agricultural technology adoption (Adegbola & Gardebroek, 2007; Bandiera & Rasul, 2006; Case, 1992; Conley & Udry, 2010; Foster & Rosenzweig, 1995; Maertens & Barrett, 2012; Moser & Barrett, 2006; Munshi, 2004).”
Social Networks and Technology Adoption in Northern Mozambique (2006, neutral): “…to the decisions of others in his social network.2 Our motivation derives from empirical evidence that farmers learn how to cultivate a new crop from the choices of others also cultivating the same crop (Besley and Case, 1997; Foster and Rosenzweig, 1995; Conley and Udry, 2003; Munshi, 2004).”
Rural innovation systems and networks: findings from a study of Ethiopian smallholders (2011, background): “Munshi (2004) adds further nuance to the social learning model by demonstrating how information flows related to a new technology are weaker in heterogeneous populations.”
Measuring Social Networks' Effects on Agricultural Technology Adoption (2013, methodology): “This practice is common when lacking explicit network data (Foster and Rosenzweig 1995, Munshi 2004).”
Growth Theory through the Lens of Development Economics (2004, neutral): “Indeed, he finds that child labor declines, and school enrollment increases, discretely when a household member becomes eligible.”