top banner top banner
index
RegularArticles
ReplicationStudies
SpecialIssues
Vignettes
EditorialBoard
Instructions4Authors
JournalGuidelines
Messages
Submission

Search publications

Using the Chow Test to Analyze Regression Discontinuities

Full text PDF
Bibliographic information: BibTEX format RIS format XML format APA style
Cited references information: BibTEX format APA style
Doi: 10.20982/tqmp.04.2.p046

Lee, Howard H.
46-50
Keywords: Statistics , Regression , Regression discontinuity
Tools: SPSS
(data file)   (Appendix)

The Chow Test (Chow, 1960) is a method well known in econometrics. It was originally designed to analyze the same variables obtained in two different data sets to determine if they were similar enough to be pooled together. Regression discontinuity design is a variation of the two-group pre-test-post-test design. The usual method of data analysis for data collected using this design is multiple regression with one dum coded variable representing the cut-off value. This article discusses the use of the Chow Test on data obtained in a regression discontinuity study.


Pages © TQMP;
Website last modified: 2025-02-11.
Template last modified: 2022-03-04 18h27.
Page consulted on .
Be informed of the upcoming issues with RSS feed: RSS icon RSS