JSM Preliminary Online Program
This is the preliminary program for the 2006 Joint Statistical Meetings in Seattle, Washington.

The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.


Back to main JSM 2006 Program page




Activity Number: 361
Type: Invited
Date/Time: Wednesday, August 9, 2006 : 8:30 AM to 10:20 AM
Sponsor: Section on Health Policy Statistics
Abstract - #305102
Title: Forming Better Guesses about Neighborhood Effects on Health
Author(s): Brian Krauth*+
Companies: Simon Fraser University
Address: 8888 University Drive, Burnaby, BC, V5A 1S6, Canada
Keywords: neighborhood effects ; causation ; epidemiology
Abstract:

A recent stream of econometric research (Altonji, Elder, and Taber 2005, Krauth 2006) uses the statistical relationship among the observed explanatory variables in a regression to generate a plausible guess about the relationship between observed and unobserved variables. The usual assumption of orthogonality between observed and unobserved variables is a special case - i.e., a bad guess. This paper extends this approach to the standard linear omitted variables problem, and demonstrates that this approach may be particularly useful for the measurement of neighborhood effects on health.


  • The address information is for the authors that have a + after their name.
  • Authors who are presenting talks have a * after their name.

Back to the full JSM 2006 program

JSM 2006 For information, contact jsm@amstat.org or phone (888) 231-3473. If you have questions about the Continuing Education program, please contact the Education Department.
Revised April, 2006