2010Unpublished venueRequires access

Bayesian Estimation of Classical Econometric Linear Model

Jian Zhao

Open publisher page 0 citations

Abstract

The application of Bayesian estimation methods are introduced by using normal linear single-equation econometric model as an example.The distinction between Bayesian estimation and ordinary least squares estimation(OLS) of this econometric model are analyzed.

About this research paper

What this paper is about

The application of Bayesian estimation methods are introduced by using normal linear single-equation econometric model as an example.The distinction between Bayesian estimation and ordinary least squares estimation(OLS) of this econometric model are analyzed.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The application of Bayesian estimation methods are introduced by using normal linear single-equation econometric model as an example.The distinction between Bayesian estimation and ordinary least squares estimation(OLS) of this econometric model are analyzed.

Key concepts: Econometric model, Econometrics, Estimation, Ordinary least squares, Bayes estimator, Bayesian probability, Least-squares function approximation, Linear model

Related papers

Back to paper searchBrowse research topicsOriginal source
Bayesian Estimation of Classical Econometric Linear Model — Research Paper | ScholarLens