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Nonlinear Time Series Analysis of Business Cycles.

A quantitative approach to economic problems of practical importance.

Bibliographic Details
Call Number:Libro Electrónico
Main Author: Milas, Costas
Other Authors: Rothman, Philip, Van Dijk, Dick
Format: Electronic eBook
Language:Inglés
Published: Burlington : Emerald Group Publishing Limited, 2006.
Series:Contributions to economic analysis Nonlinear time series analysis of business cycles
Subjects:
Online Access:Texto completo
Table of Contents:
  • Introduction; Contents; List of Contributors; Dating Business Cycle Turning Points; Combining Predictors & Combining Information in Modelling: Forecasting US Recession Probabilities and Output Growth; The Importance of Nonlinearity in Reproducing Business Cycle Features; The Vector Floor and Ceiling Model; A New Framework to Analyze Business Cycle Synchronization; Non-linearity and Instability in the Euro Area; Nonlinear Modelling of Autoregressive Structural Breaks in Some US Macroeconomic Series.
  • Trend-Cycle Decomposition Models with Smooth-Transition Parameters: Evidence from U.S. Economic Time SeriesModeling Inflation and Money Demand Using a Fourier-Series Approximation; Random Walk Smooth Transition Autoregressive Models; Nonlinearity and Structural Change in Interest Rate Reaction Functions for the US, UK and Germany; State Asymmetries in the Effects of Monetary Policy Shocks on Output: Some New Evidence for the Euro-Area; Non-linear Dynamics in Output, Real Exchange Rates and Real Money Balances: Norway, 1830-2003.
  • A Predictive Comparison of Some Simple Long- and Short Memory Models of Daily U.S. Stock Returns, with Emphasis on Business Cycle EffectsNonlinear Modeling of the Changing Lag Structure in U.S. Housing Construction; Subject Index.