Date of Award

1-1-2020

Language

English

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

College/School/Department

Department of Economics

Content Description

1 online resource (x, 127 pages) : illustrations (some color)

Dissertation/Thesis Chair

Zhongwen Liang

Committee Members

Daiqiang Zhang, Ulrich Hounyo

Keywords

Asymptotic normality, Consistency, Elastic-net, Shrinkage method, Tikhonov regularization, Econometric models, Averaging method (Differential equations), Multiple comparisons (Statistics), Logistic regression analysis, Mothers

Subject Categories

Economics | Statistics and Probability

Abstract

In empirical research, we often need to address the issue of what model to use given a collection of candidate models. Conventionally, we use model selection to choose one best model from the collection of candidate models based on some model selection criteria. Model averaging is a generalization of model selection in the sense that it assigns weights to candidate models and uses a weighted average to construct an aggregated model. Usually model averaging provides better performance than model selection which chooses a single candidate model based on AIC or BIC.

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