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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Ma, Jun (Επιμελητής έκδοσης), Wohar, Mark (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: New York, NY : Springer New York : Imprint: Springer, 2014.
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.