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313834

Some Estimation Properties of the Random Coefficients Regression

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Last updated: 28 Dec 2024

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Abstract

Random coefficients regression (RCR) model provides a useful analysis for Reiss Agricultural experiments. paper, we some cross section and time series data in Economics, and growth curve data in usefully properties of using the RCR estimator. We compare the RCR estimator in the RCR model and the mixed random coefficients regression (MRCR) model. Also, the sensitivity of RCR estimator to change with respect to variance (v-1) and the explanatory variables (X) are presented in section 3. We point out that the RCR estimator is biased and has larger mean squared error in MRCR model when compared with the RCR model.  

DOI

10.21608/esju.2000.313834

Keywords

Random Coefficient Regression Model, Mixed Random Coefficient Regression Model, cross, Section and Time Series Data, and growth, Curve Data

Volume

44

Article Issue

2

Related Issue

43032

Issue Date

2000-12-01

Publish Date

2000-12-01

Page Start

185

Page End

192

Print ISSN

0542-1748

Online ISSN

2786-0086

Link

https://esju.journals.ekb.eg/article_313834.html

Detail API

https://esju.journals.ekb.eg/service?article_code=313834

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6

Type

Original Article

Type Code

1,914

Publication Type

Journal

Publication Title

The Egyptian Statistical Journal

Publication Link

https://esju.journals.ekb.eg/

MainTitle

Some Estimation Properties of the Random Coefficients Regression

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Article

Created At

28 Dec 2024