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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...
