WitrynaNAIVE LEARNING WITH UNINFORMED AGENTS 5 in the Generalized DeGroot case.4 In other words, the long-run outcome may reflect only a fraction of the initially …

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Witryna4 lut 2024 · Naive Learning with Uninformed Agents. NBER Working Paper No. w25497. 38 Pages Posted: 4 Feb 2024 Last revised: 2 Sep 2024. See all articles by Abhijit V. Banerjee Abhijit V. Banerjee. ... offering a natural way to model naive learning in a complex setting. One unattractive aspect of this model is the assumption that the … WitrynaNaïve Learning with Uninformed Agents. Abhijit Banerjee, Emily Breza, Arun G. Chandrasekhar and Markus Mobius. American Economic Review, 2024, vol. 111, … burgundy leather knee boots

Naïve Learning with Uninformed Agents - American …

WitrynaNaive Learning with Uninformed Agents. 2024. Abstract. Working paper (revised) The DeGroot model has emerged as a credible alternative to the standard Bayesian model for studying learning on networks, offering a natural way to model naive learning in a complex setting. One unattractive aspect of this model is the assumption that the … Witryna1 gru 2008 · This work considers the problem of dynamic learning by a social network of agents and shows that the general class of rules leads to unbiased estimates of the underlying state and that the diminishing weight rules ensure convergence in the mean-square sense. We study the problem of dynamic learning by a social network of … Witryna29 kwi 2024 · Social learning is a rapidly growing field for empirical and theoretical research in economics. We encounter social learning in many economically important phenomena, such as the adoption of new products and technologies or job search in labor markets. We review the existing empirical and theoretical literatures and argue … hall stand big w