Learning Through Noticing: Theory and Evidence from a Field Experiment

By Rema Hanna, Sendhil Mullainathan, Joshua Schwartzstein. 2014

321 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Safety Research, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/00bfb22096a5a08e89ab2f55ea6490911ebc7d50

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In Management Science and Operations Research

In Safety Research

In Sociology and Political Science

Citations in the corpus

Seeing is Believing? Evidence from an Extension Network Experiment (2014, background): “Hanna et al. (2014) find that seaweed farmers in Indonesia acted on the information received only when it included descriptions of the relationship between yield and pod size from their own plot.”
SELECTIVE ATTENTION AND LEARNING (2014, methodology): “Briefly summarizing the experimental findings presented in Hanna et al. (2014), the survey data indicate that the seaweed farmers do not attend to pod size, a particular input dimension, as a vast majority of farmers did not know what size they use and would not hazard a guess about the optimal…”
Uniform Pricing in U.S. Retail Chains* (2019, background): “Our paper is instead part of a smaller literature on behavioral firms — that is, cases in which firms deviate from simple benchmarks of profit maximization (Bloom and Van Reenen, 2007; Hortaçsu and Puller, 2008; Goldfarb and Xiao, 2011; Massey and Thaler, 2013; Hanna et al., 2014).”
Technological Innovations, Downside Risk, and the Modernization of Agriculture (2016, background): “…preferences (Duflo, Kremer, and Robinson 2011), high transaction costs due to poor infrastructure (Suri 2011), lack of information and difficulties in learning (Ashraf, Giné, and Karlan 2009; Hanna, Mullainathan, and Schwartzstein 2014), and absence of formal insurance (Karlan et al. 2014).”
Heterogeneity, Measurement Error, and Misallocation: Evidence from African Agriculture (2019, unknown): “In the development economics literature, Hanna et al. (2014) show under experimental conditions the importance of localized variation. We also note that agricultural scientists have long recognized a high degree of localized heterogeneity in African agriculture. See, for example, Tittonell et al. (2”
Designing Information Provision Experiments (2020, background): “In agricultural economics, information provision experiments are also widely applied; for example, Hanna et al. (2014) study the effects of information on farmers’ behavior.”
Lemon technologies and adoption: measurement, theory and evidence from agricultural markets in Uganda (2017, background): “Hanna, Mullainathan, and Schwartzstein (2014) examine a learning model in which farmers do not pay attention to certain dimensions of the production function.”