Recent Advances in Estimating Nonlinear Models With Applications in Economics and Finance /
This edited volume provides a timely overview of nonlinear estimation techniques, offering new methods and insights into nonlinear time series analysis. The focus is on such topics as state-space model and the identification issue, use of Markov Switching Models and Smooth Transition Models to analy...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
New York, NY :
Springer New York : Imprint: Springer,
2014.
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Chapter 1 Stock Return and Inflation: An Analysis Based on the State-Space Framework
- Chapter 2 Diffusion Index Model Specification and Estimation: Using Mixed Frequency Datasets
- Chapter 3 Testing for Neglected Nonlinearity Using Regularized Artificial Neural Networks
- Chapter 4 On the Use of the Flexible Fourier Form in Unit Roots Tests, Endogenous Breaks, and Parameter Instability
- Chapter 5 Testing for a Markov-Switching Mean in Serially-Correlated Data
- Chapter 6 Nonlinear Time Series Models and Model Selection
- Chapter 7 Nonstationarities and Markov Switching Models
- Chapter 8 Has Wealth Effect Changed Over Time? Evidence from Four Industrial Countries
- Chapter 9 A Simple Specification Procedure for the Transition Function in Persistent Nonlinear Times Series Models
- Chapter 10 Small Area Estimation with Correctly Specified Linking Models
- Chapter 11 Forecasting Stock Returns: Does Switching between Models Help?
- Chapter 12 The Global Joint Distribution of Income and Health.