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Modeling and Forecasting Large Realized Covariance Matrices and Portfolio Cho...
We consider modeling and forecasting large realized covariance matrices by penalized vector autoregressive models. We consider Lasso-type estimators to reduce the dimensionality... -
Optimal Portfolio Choice Under Decision‐Based Model Combinations (replication...
We propose a density combination approach featuring combination weights that depend on the past forecast performance of the individual models entering the combination through a... -
Modelling Hospital Admission and Length of Stay by Means of Generalised Count...
For a large heterogeneous group of patients, we analyse probabilities of hospital admission and distributional properties of lengths of hospital stay conditional on individual... -
Factor-Based Identification-Robust Interference in IV Regressions (replicatio...
Robust methods for instrumental variable inference have received considerable attention recently. Their analysis has raised a variety of problematic issues such as size/power... -
Flexible Estimation of Copulas: An Application to the US Housing Crisis (repl...
Zimmer (?The role of copulas in the housing crisis?, Review of Economics and Statistics 2012; 94: 607-620) provides an interesting case study of the pitfalls of using parametric... -
Bayesian Graphical Models for STructural Vector Autoregressive Processes (rep...
This paper proposes a Bayesian, graph-based approach to identification in vector autoregressive (VAR) models. In our Bayesian graphical VAR (BGVAR) model, the contemporaneous... -
Estimation of Dynamic Panel Data Models with Cross-Sectional Dependence: Usin...
This paper considers the estimation of dynamic panel data models when data are suspected to exhibit cross-sectional dependence. A new estimator is defined that uses... -
Simple Identification and Specification of Cointegrated Varma Models (replica...
We bring together some recent advances in the literature on vector autoregressive moving-average models, creating a simple specification and estimation strategy for the... -
Using OLS to Estimate and Test for Structural Changes in Models with Endogeno...
We consider the problem of estimating and testing for multiple breaks in a single-equation framework with regressors that are endogenous, i.e. correlated with the errors. We...
