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Interpretation of point forecasts with unknown directive (replication data)
Point forecasts can be interpreted as functionals (i.e., point summaries) of predictive distributions. We extend methodology for the identification of the functional based on... -
Does global inflation help forecast inflation in industrialized countries? (r...
Ciccarelli and Mojon (CM; Review of Economics and Statistics, 2010, 92(3), 524-535) propose an inflation forecasting model incorporating a global inflation factor and show that... -
Do contractionary monetary policy shocks expand shadow banking? (replication ...
Using VAR models for the USA, we find that a contractionary monetary policy shock has a persistent negative impact on the level of commercial bank assets, but increases the... -
Weak and Strong Cross-Sectional Dependence: A Panel Data Analysis of Internat...
This paper provides an econometric examination of technological knowledge spillovers among countries by focusing on the issue of error cross-sectional dependence, particularly... -
Bayesian VARs: Specification Choices and Forecast Accuracy (replication data)
In this paper we discuss how the point and density forecasting performance of Bayesian vector autoregressions (BVARs) is affected by a number of specification choices. We adopt... -
DISENTANGLING DEMAND AND SUPPLY SHOCKS IN THE CRUDE OIL MARKET: HOW TO CHECK ...
Sign restrictions have become increasingly popular for identifying shocks in structural vector autoregressive (SVAR) models. So far there are no techniques for validating the... -
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... -
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... -
Non-parametric bounds on quantiles under monotonicity assumptions: with an ap...
Within the inferential context of predicting a distribution of potential outcomes P[y(t)] under a uniform treatment assignment t ∈ T, this paper deals with partial... -
Dating and forecasting turning points by Bayesian clustering with dynamic str...
The information contained in a large panel dataset is used to date historical turning points and to forecast future ones. We estimate groups of series with similar time series... -
Statistical inference for aggregates of Farrell-type efficiencies (replicatio...
In this study, we merge results of two recent directions in efficiency analysis research-aggregation and bootstrap-applied, as an example, to one of the most popular point...
