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The impact of data revisions on the robustness of growth determinants-a note ...
Ciccone and Jaroci-ski (American Economic Journal: Macroeconomics 2010; 2: 222-246) show that inference in Bayesian model averaging (BMA) can be highly sensitive to small data... -
Reconciling the evidence of Card and Krueger (1994) and Neumark and Wascher (...
We employ the original Card and Krueger (American Economic Review 1994; 84: 772-793) and Neumark and Wascher (American Economic Review 2000; 90: 1362-1396) data together with... -
How different is Africa? A comment on Masanjala and Papageorgiou (replication...
Masanjala and Papageorgiou (Rough and lonely road to prosperity: a reexamination of the sources of growth in Africa using Bayesian model averaging, Journal of Applied... -
The frequency of visiting a doctor: Is the decision to go independent of the ...
In his analysis of the effects of the reform of the German healthcare system, Winkelmann (Journal of Applied Econometrics 2004; 19: 455-472) investigates the number of doctor... -
npRmpi: A package for parallel distributed kernel estimation in R (replicatio...
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Firm size distributions through the lens of functional principal components a...
We explore the dynamics of firm size distributions through the lens of Functional Principal Component Analysis as proposed by Kneip and Utikal (2001). Using samples of UK firms... -
Rough and lonely road to prosperity: a reexamination of the sources of growth...
This paper takes a fresh look at Africa's growth experience by using the Bayesian model averaging (BMA) methodology. BMA enables us to consider a large number of potential... -
International welfare comparisons and nonparametric testing of multivariate s...
This paper outlines a class of statistical procedures that permit testing of a broad range of multidimensional stochastic dominance hypotheses and, more generally, welfare... -
Validating multiple structural change models-a case study (replication data)
In a recent article, Bai and Perron (2003, Journal of Applied Econometrics) present a comprehensive discussion of computational aspects of multiple structural change models... -
Monitoring structural change in dynamic econometric models (replication data)
The classical approach to testing for structural change employs retrospective tests using a historical data set of a given length. Here we consider a wide array of... -
Using R to teach econometrics (replication data)
R, an open-source programming environment for data analysis and graphics, has in only a decade grown to become a de-facto standard for statistical analysis against which many...
