Rational Inattention: Beyond the Linear-Quadratic Case

By Christopher A. Sims. 2006

420 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Mathematical Physics

View Paper: https://www.semanticscholar.org/paper/dd1a194845b472e983339d218815e687b8c71243

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Citations in the corpus

A Rational Theory of Mutual Funds' Attention Allocation (2016, positive): “34 On the technical side, our paper contributes a novel solution methodology that allows us to consider asset payoff signals that have a different risk structure from the asset payoffs themselves, a generalization advocated by Sims (2006).”
Optimal Sticky Prices Under Rational Inattention (2009, neutral): “See again Lemma 2.”
Information-Theoretic Bounded Rationality (2015, background): “…decision-making that has precursors in the economic literature [McKelvey and Palfrey, 1995, Mattsson and Weibull, 2002, Wolpert, 2004, Sims, 2003, 2005, 2006, 2011] and that has emerged through the application of information-theoretic methods to stochastic control and to…”
Business Cycle Dynamics Under Rational Inattention (2015, neutral): “The views expressed in this paper are solely those of the authors and do not necessarily reflect the views of the European Central Bank.”
The association between integrated reporting and firm valuation (2015, positive): “To the extent that better disclosure quality under hIRi reduces investors information processing cost, this should improve the speed and the amount of firm-specific information being incorporated into asset prices (Healy and Palepu 2001; Sims 2006; Veldkamp 2006).”
Exogenous Information, Endogenous Information and Optimal Monetary Policy (2014, positive): “See, for example, Sims (2003, 2006, 2011), Luo (2008), Máckowiak and Wiederholt (2009, 2013), Van Nieuwerburgh and Veldkamp (2009, 2010), Woodford (2009), Mondria (2010), Matejka (2011), and Paciello (2012).”
Using Nonlinear Model Predictive Control for Dynamic Decision Problems in Economics (2015, methodology): “Since the NMPC method allows one to compute finite horizon dynamic decision problems, with solutions approximating the corresponding infinite horizon models, it is well suited to track the solution paths for information constrained agents in the sense of Sims (2005, 2006).”