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We provide sufficient conditions for when a rational expectations structural model predicts bounded responses of …)xpectation-stability conditions that govern when agents can learn a Rational Expectations Equilibrium. The conditions are distinct from the …
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In this paper we consider regression models with forecast feedback. Agents' expectations are formed via the recursive …
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We study the properties of generalized stochastic gradient (GSG) learning in forward-looking models. We examine how the conditions for stability of standard stochastic gradient (SG) learning both differ from and are related to E-stability, which governs stability under least squares learning. SG...
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We compare forecasts from different adaptive learning algorithms and calibrations applied to US real-time data on inflation and growth. We find that the Least Squares with constant gains adjusted to match (past) survey forecasts provides the best overall performance both in terms of forecasting...
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We study the term structure of disagreement of professional forecasters for key macroeconomic variables. We document a novel set of facts: 1) forecasters disagree at all horizons, including the very long run; 2) the shape of the term structure of disagreement differs markedly across variables:...
Persistent link: https://www.econbiz.de/10010222893
Agents have foresight when they receive information about a random process above and beyond the information contained in its current and past history. In this paper, we propose an information-theoretic measure of the quantity of foresight in an information structure, and show how to separate...
Persistent link: https://www.econbiz.de/10012606997
Macroeconomic expectations of various economic agents are characterized by substantial cross-sectional heterogeneity …. In this paper, we focus on expectations heterogeneity among professional forecasters. We first present stylized facts and … discuss theoretical explanations for heterogeneous expectations. We then provide an overview of the empirical evidence …
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