Skip to main navigation Skip to search Skip to main content

Correction to: Testing for Threshold Effects in Regression Models (Journal of the American Statistical Association, (2013), 106, (220-231), 10.1198/jasa.2011.tm09800)

  • Sokbae Lee*
  • , Myung Hwan Seo
  • , Youngki Shin
  • *Corresponding author for this work

Research output: Contribution to journalComment/debate

Abstract

As an empirical illustration, Lee, Seo, and Shin (2011) used a subsample of the dataset originally constructed by Card, Mas, and Rothstein (2008) to test whether there existed a tipping point for racial segregation. When using the same dataset for different purposes, we found that there was an indexing error in the coding. In addition, there was a minor typographical error in the article. On page 224, the average marginal effect should have been defined as (Formula presented.), where Ф(·) is the CDF of the normal distribution. Tables 1 and 2 replace the old tables on page 224 and provide corrected empirical results. The corrected results indicate that there exists a tipping point in Chicago but not in other cities. The estimated tipping point for Chicago is similar between probit and median regression models. (Table presented.).

Original languageEnglish
Pages (from-to)883
Number of pages1
JournalJournal of the American Statistical Association
Volume112
Issue number518
DOIs
Publication statusPublished - 3 Apr 2017
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2017 American Statistical Association.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities

Fingerprint

Dive into the research topics of 'Correction to: Testing for Threshold Effects in Regression Models (Journal of the American Statistical Association, (2013), 106, (220-231), 10.1198/jasa.2011.tm09800)'. Together they form a unique fingerprint.

Cite this