Spectral representation and autocovariance structure of Markov switching DSGE models
DOI10.1080/03610926.2018.1563184OpenAlexW2913921051WikidataQ128530303 ScholiaQ128530303MaRDI QIDQ5077377
Publication date: 18 May 2022
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2018.1563184
Markov chainsstate-space modelsspectral density functionchanges in regimeautocovariance structuremultivariate DSGE
Density estimation (62G07) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Statistics (62-XX) Markov processes: estimation; hidden Markov models (62M05)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Asymptotic and spectral properties of exponentially \(\phi\)-ergodic Markov processes
- The spectral representation of Markov switching ARMA models
- Analysis of time series subject to changes in regime
- Spectral density estimation for stationary stable processes
- Spectra of bivariate \(\mathrm{VAR}(p)\) models
- Methods for measuring expectations and uncertainty in Markov-switching models
- Time series: theory and methods.
- Strict stationarity of generalized autoregressive processes
- Switching state-space models: likelihood function, filtering and smoothing
- Markov-switching vector autoregressions. Modelling, statistical inference, and application to business cycle analysis
- Asymptotic Fisher information matrix of Markov switching VARMA models
- A check for finite order VAR representations of DSGE models
- Spectral density of Markov-switching VARMA models
- Stability of the nonlinear filter for slowly switching Markov chains
- The \(L^2\)-structures of standard and switching-regime GARCH models
- Autocovariance Structure of Markov Regime Switching Models and Model Selection
- On the Markov-switching bilinear processes: stationarity, higher-order moments and β-mixing
- A transitional Markov switching autoregressive model
- Markov switching component GARCH model: Stability and forecasting
- DETERMINING THE NUMBER OF REGIMES IN MARKOV SWITCHING VAR AND VMA MODELS
- The Relationship Between DSGE and VAR Models
- Characterizing the Degree of Stability of Non-linear Dynamic Models
- A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle
- Ergodicity of Autoregressive Processes with Markov-Switching and Consistency of the Maximum-Likelihood Estimator
- Perturbation methods for Markov-switching dynamic stochastic general equilibrium models
- Multivariate arma models with generalized autoregressive linear innovation
- SOME PROPERTIES OF VECTOR AUTOREGRESSIVE PROCESSES WITH MARKOV-SWITCHING COEFFICIENTS
- ANALYSIS OF THE LIKELIHOOD FUNCTION FOR MARKOV‐SWITCHING VAR(CH) MODELS
- HIGHER ORDER MOMENTS OF MARKOV SWITCHING VARMA MODELS
- Time Series Classification Based on Spectral Analysis
- State space Markov switching models using wavelets
- Stationarity of multivariate Markov-switching ARMA models
This page was built for publication: Spectral representation and autocovariance structure of Markov switching DSGE models