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Efficient estimation of Bayesian VARMAs with time‐varying coefficients (repli...
Empirical work in macroeconometrics has been mostly restricted to using vector autoregressions (VARs), even though there are strong theoretical reasons to consider general... -
Euromind-D: A Density Estimate of Monthly Gross Domestic Product for the Euro...
EuroMInd- D is a density estimate of monthly gross domestic product (GDP) constructed according to a bottom-up approach, pooling the density estimates of 11 GDP components, by... -
Estimation and Solution of Models with Expectations and Structural Changes (r...
In this paper, we develop solutions for linearized models with forward-looking expectations and structural changes under a variety of assumptions regarding agents' beliefs about... -
A Bounded Model of Time Variation in Trend Inflation, Nairu and the Phillips ...
In this paper, we develop a bivariate unobserved components model for inflation and unemployment. The unobserved components are trend inflation and the non-accelerating... -
Missing in Asynchronicity: A Kalman-em Approach for Multivariate Realized Cov...
Motivated by the need for a positive-semidefinite estimator of multivariate realized covariance matrices, we model noisy and asynchronous ultra-high-frequency asset prices in a... -
Market fundamentals versus rational bubbles in stock prices: a Bayesian persp...
Using Bayesian Markov chain Monte Carlo methods, we decompose the log price-dividend ratio into a market fundamentals component and a bubble component. The market fundamentals... -
Sequential numerical integration in nonlinear state space models for microeco...
This paper discusses the estimation of a class of nonlinear state space models including nonlinear panel data models with autoregressive error components. A health economics... -
Dynamic factor extraction of cross-sectional dependence in panel unit root te...
Recently, considerable emphasis has been placed on the problems arising out of cross-sectional dependence in panel unit root tests. This paper adopts the factor-based... -
Estimating dynamic equilibrium economies: linear versus nonlinear likelihood ...
This paper compares two methods for undertaking likelihood-based inference in dynamic equilibrium economies: a sequential Monte Carlo filter and the Kalman filter. The... -
Convergence in the trends and cycles of Euro-zone income (replication data)
Multivariate unobserved components (structural) time series models are fitted to annual post-war observations on real income per capita in countries in the Euro-zone. The aim is... -
Convergence in European GDP series: a multivariate common converging trend–cy...
Convergence in the gross domestic product series of five European countries is empirically identified using multivariate time series models that are based on unobserved... -
Time-varying intercepts and equilibrium analysis: an extension of the dynamic...
Demographic effects and user costs in demand systems have usually been modelled explicitly. A more robust approach is a state space formulation of the demand system, where...
