Midlands State University Library

A nonparametric goodness-of-fit-based test for conditional heteroskedasticity (Record no. 164643)

MARC details
000 -LEADER
fixed length control field 01522nam a22002417a 4500
003 - CONTROL NUMBER IDENTIFIER
control field ZW-GwMSU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240403140543.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240403b |||||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency MSU
Language of cataloging English
Transcribing agency MSU
Description conventions rda
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number HB139.T52 ECO
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Liangjun Su
Relator term author
245 12 - TITLE STATEMENT
Title A nonparametric goodness-of-fit-based test for conditional heteroskedasticity
Statement of responsibility, etc. created by Liangjun Su and Aman Ullah
264 1# - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cambridge:
Name of producer, publisher, distributor, manufacturer Cambridge University Press,
Date of production, publication, distribution, manufacture, or copyright notice 2013
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
Content type code txt
337 ## - MEDIA TYPE
Source rdamedia
Media type term unmediated
Media type code n
338 ## - CARRIER TYPE
Source rdacarrier
Carrier type term volume
Carrier type code nc
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Econometric Theory
Volume/sequential designation Volume 29, number 1
520 3# - SUMMARY, ETC.
Summary, etc. In this paper we propose a new nonparametric test for conditional heteroskedasticity based on a measure of nonparametric goodness-of-fit (R 2 ) that is obtained from the local polynomial regression of the residuals from a parametric regression on some covariates. We show that after being appropriately standardized, the nonparametric R 2 is asymptotically normally distributed under the null hypothesis and a sequence of Pitman local alternatives. We also prove the consistency of the test and propose a bootstrap method to obtain the bootstrap p-values. We conduct a small set of simulations and compare our test with some popular parametric and nonparametric tests in the literature.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Nonparametric statistics |
Form subdivision Statistical test
General subdivision Heteroscedasticity
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Aman Ullah
Relator term co-author
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier 10.1017/S0266466612000278
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Journal Article
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Serial Enumeration / chronology Total Checkouts Full call number Date last seen Copy number Price effective from Koha item type Public note
    Library of Congress Classification     Main Library Main Library - Special Collections 25/11/2013 vol. 29, no. 1 (pages 187-212)   HB139.T52 ECO 03/04/2024 SP17546 03/04/2024 Journal Article For In house Use