Asymptotic properties of equilibrium forecasts in Bayesian learning models

Article Abstract:

Elementary constructions can be used to improve and generalize the asymptotic properties of equilibrium forecasts in Bayesian learning models in a stochastic environment. Complex approximation arguments can be discarded and correlated equilibrium can be replaced with the Nash equilibrium as the solution concept. Full information rational expectations forecasts can also be used to elucidate the limiting behavior of the forecasts process.

Economic forecasting

---

Observable implications of equilibrium behavior on finite data

Article Abstract:

The equilibrium implications for finite datasets are analyzed to study the market demand and income distribution. The Semialgebraic theory is used in the analysis.

Income Distribution, Demand (Economics)

---

Similar abstracts:

• Abstracts: Finite-sample properties of tests for equal forecast accuracy. Can out-of-sample forecast comparisons help prevent overfitting?
• Abstracts: Comparing the accuracy of density forecasts from competing models. Robust evaluation of fixed-event forecast rationality
• Abstracts: The structure of the pseudo-equilibrium manifold in economies with incomplete markets. Hamilton approach to multi-dimensional screening
• Abstracts: A group decision device: its Pareto-like optimality. Generic non-existence of equilibria in finance models. Restricting independence to convex cones
• Abstracts: A model selection approach to real-time macroeconomic forecasting using linear models and artificial neural networks

This website is not affiliated with document authors or copyright owners. This page is provided for informational purposes only. Unintentional errors are possible.