Observation-driven filtering of time-varying parameters using moment conditions

Cites Work

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Large Sample Properties of Generalized Method of Moments Estimators
Linear and nonlinear regression with stable errors
The method of simulated quantiles
Estimation for multivariate stable distributions with generalized empirical likelihood
Estimation of stable distributions by indirect inference
Quasi-maximum-likelihood estimation in conditionally heteroscedastic time series: a stochastic recurrence equations approach
Estimating stable latent factor models by indirect inference
Generalized autoregressive conditional heteroscedasticity
Applications of the characteristic function-based continuum GMM in finance
Dynamic semiparametric models for expected shortfall (and value-at-risk)
Maximum likelihood estimation for score-driven models
GENERALIZATION OF GMM TO A CONTINUUM OF MOMENT CONDITIONS
Continuous Invertibility and Stable QML Estimation of the EGARCH(1,1) Model
Dynamic Models for Volatility and Heavy Tails
Tests for Parameter Instability and Structural Change With Unknown Change Point
Empirical Characteristic Function Estimation and Its Applications
Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
Asymptotic Filtering Theory for Univariate Arch Models
Filtering With Heavy Tails
Univariate Stable Distributions
Information-theoretic optimality of observation-driven time series models for continuous responses
An Optimum Property of Regular Maximum Likelihood Estimation
Robust inference with GMM estimators

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