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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... -
Is God in the details? A reexamination of the role of religion in economic gr...
Barro and McCleary (2003, Religion and economic growth across countries. American Journal of Sociology 68: 760-781) is a key research contribution in the new literature... -
‘DUAL’ GRAVITY: USING SPATIAL ECONOMETRICS TO CONTROL FOR MULTILATERAL RESIST...
We derive a quantity-based structural gravity equation system in which both trade flows and error terms are cross-sectionally correlated. This system can be estimated using... -
Term structure surprises: the predictive content of curvature, level, and slo...
This paper analyzes the predictive content of the term structure components level, slope, and curvature within a dynamic factor model of macroeconomic and interest rate data.... -
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... -
No one true path: uncovering the interplay between geography, institutions, a...
Do institutions rule when explaining cross-country divergence? By employing regression tree analysis to uncover the existence and nature of multiple development clubs and growth... -
Jackknife instrumental variables estimation: replication and extension of ang...
I replicate most of the results in Angrist, Imbens, and Krueger (Journal of Applied Econometrics 1999; 14: 57-67), point to a possible error in and re-estimate Model 3, and... -
Estimating time variation in measurement error from data revisions: an applic...
Over time, economic statistics are refined. This implies that data measuring recent economic events are typically less reliable than older data. Such time variation in... -
Combining forecast densities from VARs with uncertain instabilities (replicat...
Recursive-weight forecast combination is often found to an ineffective method of improving point forecast accuracy in the presence of uncertain instabilities. We examine the... -
Forecast evaluation of small nested model sets (replication data)
We propose two new procedures for comparing the mean squared prediction error (MSPE) of a benchmark model to the MSPEs of a small set of alternative models that nest the... -
A test for multimodality of regression derivatives with application to nonpar...
This paper presents a method to test for multimodality of an estimated kernel density of derivative estimates from a nonparametric regression. The test is included in a study of... -
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... -
General-interest versus specialty journals: Using intellectual influence of e...
This paper demonstrates the potential problem in using existing economics journal rankings to evaluate the research productivity of scholars by constructing a new ranking of... -
Averaging forecasts from VARs with uncertain instabilities (replication data)
Recent work suggests VAR models of output, inflation, and interest rates may be prone to instabilities. In the face of such instabilities, a variety of estimation or forecasting... -
Large Bayesian vector auto regressions (replication data)
This paper shows that vector auto regression (VAR) with Bayesian shrinkage is an appropriate tool for large dynamic models. We build on the results of De Mol and co-workers... -
Comovements and heterogeneity in the euro area analyzed in a non-stationary d...
This paper establishes stylized facts on comovements and heterogeneity of individual euro area countries' output and price developments in the past two decades. For this... -
Jointness of growth determinants (replication data)
This paper introduces a new measure of dependence or jointness among explanatory variables. Jointness is based on the joint posterior distribution of variables over the model...
