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We study communication in ambiguous environments. Agents communicate individual decisions sequentially. Based on the …, the decisions differ no matter how long the communication lasts. Such persistent disagreements are precluded in Bayesian … frameworks endowed with a common prior. When communication is private and nobody is excluded from it, we show that ambiguity …
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We suggest to extend the stacking procedure for a combination of predictive densities, proposed by Yao et al in the journal Bayesian Analysis to a setting where dynamic learning occurs about features of predictive densities of possibly misspecified models. This improves the averaging process of...
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This paper compares within-sample and out-of-sample fit of a DSGE model with rational expectations to a model with adaptive learning. The Galí, Smets and Wouters model is the chosen laboratory using quarterly real-time euro area data vintages, covering 2001Q1-2019Q4. The adaptive learning model...
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This paper considers how an investor in the foreign exchange market can exploit predictive information by means of flexible Bayesian inference. Using a variety of different vector autoregressive models, the investor is able, each period, to revise past predictive mistakes and learn about...
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