On nonnested regression through modified regressor design

M. Ishaq Bhatti, M. Zakir Hossain, Rafi Ashrafi

Research output: Contribution to journalArticle

Abstract

This paper examines the consequences of improper use of Monte Carlo (MC) simulation design in order to compare some nonnested testing procedures within the framework of Dubbelman et al's (1978) work. It also investigates the aspect of the MC experiment of Godfrey and Pesaran's (1983) study. In doing so, a small MC experiment with modified parameters in the generating mechanism for the regressors in the null model is carried out. However, the results obtained in this study confirm that the JA2 test can be regarded as a serious contender within the array of inferential tools in nonnested setting.

Original languageEnglish
Pages (from-to)315-330
Number of pages16
JournalJournal of Applied Statistical Science
Volume16
Issue number3
Publication statusPublished - 2008

Fingerprint

Monte Carlo Experiment
Regression
Null
Monte Carlo Simulation
Testing
Design
Model
Framework

Keywords

  • Monte carlo simulation
  • Nonnested models
  • Power &
  • Size of a test

ASJC Scopus subject areas

  • Statistics and Probability

Cite this

On nonnested regression through modified regressor design. / Bhatti, M. Ishaq; Hossain, M. Zakir; Ashrafi, Rafi.

In: Journal of Applied Statistical Science, Vol. 16, No. 3, 2008, p. 315-330.

Research output: Contribution to journalArticle

Bhatti, M. Ishaq ; Hossain, M. Zakir ; Ashrafi, Rafi. / On nonnested regression through modified regressor design. In: Journal of Applied Statistical Science. 2008 ; Vol. 16, No. 3. pp. 315-330.
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