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Evaluating density forecasts: forecast combinations, model mixtures, calibrat...
This paper reviews current density forecast evaluation procedures, and considers a proposal that such procedures be augmented by an assessment of sharpness. This was motivated... -
Model uncertainty in cross-country growth regressions (replication data)
We investigate the issue of model uncertainty in cross-country growth regressions using Bayesian Model Averaging (BMA). We find that the posterior probability is spread widely... -
Bayesian inference for periodic regime-switching models (replication data)
We present a general class of nonlinear time-series Markov regime-switching models for seasonal data which may exhibit periodic features in the hidden Markov process as well as... -
ENDOGENEITY IN COUNT DATA MODELS: AN APPLICATION TO DEMAND FOR HEALTH CARE (r...
The generalized method of moments (GMM) estimation technique is discussed for count data models with endogenous regressors. Count data models can be specified with additive or... -
STATISTICAL INFERENCE VIA BOOTSTRAPPING FOR MEASURES OF INEQUALITY (replicati...
In this paper we consider the use of bootstrap methods to compute interval estimates and perform hypothesis tests for decomposable measures of economic inequality. Two... -
NUMERICAL METHODS FOR ESTIMATION AND INFERENCE IN BAYESIAN VAR-MODELS (replic...
In Bayesian analysis of vector autoregressive models, and especially in forecasting applications, the Minnesota prior of Litterman is frequently used. In many cases other prior...
