Implications of rational inattention
By Christopher A. Sims. 2003
3,445 citations recorded by the source corpus.
Subfields: Economics and Econometrics, General Decision Sciences
View Paper: https://www.semanticscholar.org/paper/fbf9bf17b70e5304e124072ad71a2783795bd8e6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Guido Lorenzoni
- Xavier Gabaix
- Y. Gorodnichenko
- Fotios Petropoulos
- Olivier Coibion
- Michael Woodford
- Cars H. Hommes
- Nicholas Barberis
In General Decision Sciences
- Joshua Schwartzstein
- A. Shleifer
- Xavier Gabaix
- N. Gennaioli
- P. Bordalo
- Michael Woodford
- Sendhil Mullainathan
- Rema Hanna
Citations in the corpus
- Information Acquisition and Welfare (2014, neutral): “This permits us to interpret the cost of information acquisition either as the monetary cost of purchasing different sources of information or as the cognitive cost of processing available information, as in the rational inattention literature (e.g., Sims, 2003, and Máckowiak and Wiederholt, 2009).”
- Price Setting during Low and High Inflation: Evidence from Mexico (2007, neutral): “[43] Sims, Christopher A.”
- Event-Based Vision: A Survey (2019, methodology): “Using a biological metaphor, event-based control can be understood as a form of what economics calls rational inattention [213]: more information allows for better decisions, but if there are costs associated to obtaining or processing the information, it is rational to take decisions with only…”
- The Limits of Transparency (2011, methodology): “Sims (2002) argues realistically that most of the public is rationally inattentive.”
- How Large are Housing and Financial Wealth Effects? A New Approach (2011, background): “Recent research suggests that this stylized fact can be alternatively explained by habit formation (see, e.g., Fuhrer, 2000; Chetty and Szeidl, 2005; Sommer, 2007) or inattentiveness (see, e.g., Carroll and Slacalek, 2006; Reis, 2006 and Sims, 2003).”
- Sticky Information vs. Sticky Prices: A Horse Race in a DSGE Framework (2003, methodology): “Uhlig (1999) can be used to solve models with lagged expectations like Mankiw and Reis (2002) sticky information model.”
- Diagnostic Expectations and Credit Cycles (2018, positive): “Second, our paper is related to recent work on limited attention (e.g., Sims (2003), Gabaix (2014)).”
- Limited information capacity as a source of inertia (2004, methodology): “Sims (2003) applies this idea to a Permanent Income model of optimal consumption.”