Learning asymmetries in real business cycles

By Stijn Van Nieuwerburgh, Laura L. Veldkamp. 2006

391 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/fbcf9af9c5c79f1dae6ad482fe0ddebd3adfb805

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In Economics and Econometrics

Citations in the corpus

Learning and Macroeconomics (2009, background): “Huang, Liu, and Zha (2008) focus on the role of misspecified beliefs and suggest that these can substantially amplify the fluctuations due to technology shocks in the standard RBC model.9 Other papers on learning and business cycle dynamics include Van Nieuwerburgh and Veldkamp (2006) and Eusepi and”
The Brevity and Violence of Contractions and Expansions (2008, neutral): “Chalkley and Lee (1998) and van Nieuwerburgh and Veldkamp (2006) argue that when output is high, investors face less uncertainty about productivity. Around peaks, they therefore respond to bad shocks quickly, leading to violent contractions, at least initially. Around troughs, there is less precisio”
Have Financial Markets Become More Informative (2016, neutral): “For example, in Van Nieuwerburgh and Veldkamp (2006), information production rises in booms.”
Predictive Regressions with Time-Varying Coefficients (2012, neutral): “Veldkamp (2005) and Van Nieuwerburgh and Veldkamp (2006) , among others, relate learning asymmetries and the flow of information to the business cycle.”
Expectations, Learning and Business Cycle Fluctuations (2011, background): “Nieuwerburgh and Veldkamp (2006) consider a model where agents have a noisy signal about aggregate and idiosyncratic productivity and explore implications for generating long expansions and short contractions in economic activity.”
Does Uncertainty Reduce Growth? Using Disasters as Natural Experiments (2013, neutral): “There are also models predicting effects of economic activity on uncertainty, for example on information collection in Van Nieuwerburgh and Veldkamp (2006) and Fajgelbaum et al. (2017), on noise-trading in Albagli (2011), on R&D in DErasmo and Boedo (2011), on experimentation in Bachmann and Moscari”
Investor Attention and Stock Market Volatility (2015, background): “Peng and Xiong (2006), Kacperczyk, Van Nieuwerburgh, and Veldkamp (2009), and Van Nieuwerburgh and Veldkamp (2010) study attention allocation problems when information-processing capacity is limited.”
Why do forecasters disagree? Lessons from the term structure of cross-sectional dispersion (2010, background): “Consistent with the work of Veldkamp (2006) and Van Nieuwerburgh and Veldkamp (2006), for GDP growth the negative sign of b̂ k 1 implies that when spreads are high, forecasters rely less on (common) information and disagree more.”
The Cross-Section and Time-Series of Stock and Bond Returns (2017, positive): “Inflation We follow Wachter (2006), Piazzesi and Schneider (2006), and Bansal and Shaliastovich (2007), and model inflation as”
Feedback Effects and Asset Prices (2008, background): “Indeed, information production is often shown to be more active when economic fundamentals are strong (Van Nieuwerburgh and Veldkamp (2006)).”