SELECTIVE ATTENTION AND LEARNING
By Joshua Schwartzstein. 2014
249 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Experimental and Cognitive Psychology, General Decision Sciences
View Paper: https://www.semanticscholar.org/paper/cd45822d5906d85477bf74ff2652c95f783fb859
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Experimental and Cognitive Psychology
In General Decision Sciences
- Joshua Schwartzstein
- Sendhil Mullainathan
- Stefano DellaVigna
- T. Chang
- Yongxiang Wang
- Wei Huang
- Rema Hanna
- Ran Spiegler
Citations in the corpus
- Memory, Attention, and Choice* (2020, unknown): “This prediction helps distinguish the role of recall from that of coarse encoding, such as in Schwartzstein (2014), in which memories would not encode attributes that are deemed less relevant.”
- Optimal Taxation with Behavioral Agents (2020, unknown): “…on the sparse agent of Gabaix (2014) for many illustrations, which builds on the burgeoning literature on inattention (Bordalo et al. (2013), Caplin and Dean (2015), Chetty et al. (2009), Gabaix and Laibson (2006), Köszegi and Szeidl (2013), Schwartzstein (2014), Sims (2003), Woodford (2012)).”
- Something in the Air: Pollution and the Demand for Health Insurance (2018, background): “One type of learning that addresses this critique is learning by inattentive individuals (see Schwartzstein (2014) for a recent example).”
- Economics, Fairness and Algorithmic Bias (2020, unknown): “Some of these new variables may be available to humans already, but unincorporated into learning due to cognitive limitations around noticing (Hanna et al., 2014; Schwartzstein, 2014).”
- Bayesian networks and boundedly rational expectations (2016, background): “The objective distribution is thus consistent with a "true DAG" 0 → 2 ← 1.”
- Learning Through Noticing: Theory and Evidence from a Field Experiment (2014, methodology): “Although the model presented in this paper is specific to issues related to technological use, Schwartzstein (2014) presents a general model of belief formation when agents are selectively attentive.”
- Uniform Pricing in U.S. Retail Chains* (2019, background): “…cases in which firms deviate from simple benchmarks of profit maximization (Romer, 2006; Bloom and Van Reenen, 2007; Hortaçsu and Puller, 2008; Goldfarb and Xiao, 2011; Massey and Thaler, 2013; Hanna, Mullainathan, and Schwartzstein, 2014; Hortaçsu et al., 2017; Ellison, Snyder, and Zhang, 2016).”