Test for the Error Component Model in the Presence of Local Misspecification

Anil Bera, Walter Sosa Escudero () and Mann Yoon

IIE, Working Papers from IIE, Universidad Nacional de La Plata

Abstract: It is well known that most of the standard speci¯cation tests are not valid when the alternative hypothesis is misspecified. This is particularly true in the error componentmodel, when one tests for either random e®ects or serial correlation without taking account of the presence of the other effect. In this paper we study the size and power of the standard Rao's score tests analytically and by simulation when the data is contaminated by local misspecification. These tests are adversely affected under misspecification. We suggest simple procedures to test for random effects (or serial correlation) in the presence of local serial correlation (or random effects), and these tests require ordinary least squares residuals only. Our Monte Carlo results demonstrate that the suggested tests have good finite sample properties for local misspecification, and in some cases even for far distant misspecification. Our tests are also capable of detecting the right direction of the departure from the null hypothesis. We also provide some empirical illustrations to highlight the usefulness of our tests.

Pages: 29 pages
Date: 2000-03
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.depeco.econo.unlp.edu.ar/wp/wp-content/uploads/2017/05/doc22.pdf (application/pdf)

Related works:
Journal Article: Tests for the error component model in the presence of local misspecification (2001)
Working Paper: Tests for the Error Component Model in the Presence of Local Misspecification (2000)
Working Paper: Test for the Error Component Model in the Presence of Local Misspecification (2000)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:akh:wpaper:022

Access Statistics for this paper

More papers in IIE, Working Papers from IIE, Universidad Nacional de La Plata Contact information at EDIRC.
Bibliographic data for series maintained by Laura Carella ().