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This paper proposes a new estimator for least squares model averaging. A model average estimator is a weighted average of common estimates obtained from a set of models. We propose computing weights by minimizing a model average prediction criterion (MAPC). We prove that the MAPC estimator is...
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This paper develops semiparametric Bayesian methods for inference in dynamic linear panel data models, and applies them … to longitudinal data on labor earnings from the Panel Study of Income Dynamics. We focus on characterizing not only … inference in semiparametric panel data models must solve a nonparametric deconvolution problem arising from the existence of …
Persistent link: https://www.econbiz.de/10014116320
An increasing trend in functional MRI experiments involves discriminating between experimental conditions on the basis of fine-grained spatial patterns extending across many voxels. Typically, these approaches have used randomized resampling to derive inferences. Here, we introduce an analytical...
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