-
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... -
A Cost System Approach to the Stochastic Directional Technology Distance Func...
This paper offers a methodology to address the endogeneity of inputs in the directional technology distance function (DTDF)-based formulation of banking technology which... -
Noncausal Bayesian Vector Autoregression (replication data)
We consider Bayesian analysis of the noncausal vector autoregressive model that is capable of capturing nonlinearities and effects of missing variables. Specifically, we devise... -
Outlier-Robust Bayesian Multinomial Choice Modeling (replication data)
A Bayesian method for outlier-robust estimation of multinomial choice models is presented. The method can be used for both correlated as well as uncorrelated choice alternatives... -
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... -
Forecasting with Bayesian Vector Autoregressions Estimated Using Professional...
We propose a Bayesian shrinkage approach for vector autoregressions (VARs) that uses short-term survey forecasts as an additional source of information about model parameters.... -
Modelling Inflation Volatility (replication data)
This paper discusses estimation of US inflation volatility using time-varying parameter models, in particular whether it should be modelled as a stationary or random walk... -
The Zero Lower Bound and Parameter Bias in an Estimated DSGE Model (replicati...
This paper examines how and to what extent parameter estimates can be biased in a dynamic stochastic general equilibrium (DSGE) model that omits the zero lower bound (ZLB)... -
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... -
A Social Interactions Model with Endogenous Friendship Formation and Selectiv...
This paper analyzes the endogeneity bias problem caused by associations of members within a network when the spatial autoregressive (SAR) model is used to study social... -
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... -
Growth Determinants Revisited Using Limited-Information Bayesian Model Averag...
We revisit the growth empirics debate using a novel limited-information Bayesian model averaging framework in short T panels that addresses model uncertainty, dynamics, and...
