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POOLING VERSUS MODEL SELECTION FOR NOWCASTING GDP WITH MANY PREDICTORS: EMPIR...
This paper discusses pooling versus model selection for nowcasting with large datasets in the presence of model uncertainty. In practice, nowcasting a low-frequency variable... -
THE GROWTH AFTERMATH OF NATURAL DISASTERS (replication data)
This paper traces the yearly response of gross domestic product growth-both aggregated and disaggregated into its agricultural and non-agricultural components-to four types of... -
HOW PUZZLING IS THE PPP PUZZLE? AN ALTERNATIVE HALF-LIFE MEASURE OF CONVERGEN...
Evidence of lengthy half-lives for real exchange rates in the presence of a high degree of exchange rate volatility has been considered as one of the most puzzling empirical... -
CARROT AND STICK: HOW RE-EMPLOYMENT BONUSES AND BENEFIT SANCTIONS AFFECT EXIT...
To increase the exit from welfare, benefit recipients in the municipality of Rotterdam were exposed to various financial incentives. Once their benefit spell exceeded one year,... -
VAR FORECASTING USING BAYESIAN VARIABLE SELECTION (replication data)
This paper develops methods for automatic selection of variables in Bayesian vector autoregressions (VARs) using the Gibbs sampler. In particular, I provide computationally... -
Forecasting with Medium and Large Bayesian VARS (replication data)
This paper is motivated by the recent interest in the use of Bayesian VARs for forecasting, even in cases where the number of dependent variables is large. In such cases factor... -
Investment decisions in manufacturing: assessing the effects of real oil pric...
We investigate the effects of real oil prices and their uncertainty on investment decisions. Making use of plant-level data, we estimate dynamic, discrete-choice models that... -
Macroeconomic forecasting and structural change (replication data)
The aim of this paper is to assess whether modeling structural change can help improving the accuracy of macroeconomic forecasts. We conduct a simulated real-time out-of-sample...
