Open Access. Powered by Scholars. Published by Universities.®
Social and Behavioral Sciences Commons™
Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 3 of 3
Full-Text Articles in Social and Behavioral Sciences
A Quick Guide On Sweave, Christopher Parmeter
A Quick Guide On Sweave, Christopher Parmeter
Christopher F. Parmeter
No abstract provided.
Comparisons Of Model Averaging Techniques: Assessing Growth Determinants, Shahram Amini, Christopher Parmeter
Comparisons Of Model Averaging Techniques: Assessing Growth Determinants, Shahram Amini, Christopher Parmeter
Christopher F. Parmeter
This paper replicates three important studies on growth theory uncertainty that employed Bayesian model averaging tools. We compare these results with estimates obtained using recently developed frequentist and alternative Bayesian model averaging techniques. Overall, we successfully replicate all three studies using freely available software in the statistical environment R, provide an easily implementable algorithm to operationalize the frequentist model averaging methods and find that the sign and magnitude of these new estimates are reasonably close to those produced via traditional Bayesian methods.
Canonical Higher-Order Kernels For Density Derivative Estimation, Daniel J. Henderson, Christopher Parmeter
Canonical Higher-Order Kernels For Density Derivative Estimation, Daniel J. Henderson, Christopher Parmeter
Christopher F. Parmeter
In this note we present rth-order kernel density derivative estimators using canonical higher-order kernels. These canonical rescalings uncouple the choice of kernel and scale factor. This approach is useful for selection of the order of the kernel in a data-driven procedure as well as for visual comparison of kernel estimates.