Effects of Monotone and Nonmonotone Attrition on Parameter Estimates in Regression Models with Educational Data: Demographic Effects on Achievement, Aspirations, and Attitudes
AbstractUsing the High School and Beyond longitudinal study, we investigate the participation patterns across four waves of data. Because nonrespondents from one wave are recontacted at subsequent waves, both monotone and nonmonotone attrition patterns arise. We discuss correlates of these two types of attrition in an attempt to describe individuals who may be at-risk of attrition. Gender and incomplete participation in the base-year (respondents who exhibit item nonresponse on key variables) are important predictors of later attrition. Estimated effects of monotone and nonmonotone attrition on parameter estimates in regression models suggest that certain demographic effects will be biased due to sample attrition. The evidence for bias is neither pervasive nor consistent, but suggests a systematic inflation of the Black-White achievement disparity.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by University of Wisconsin Press in its journal Journal of Human Resources.
Volume (Year): 33 (1998)
Issue (Month): 2 ()
Contact details of provider:
Web page: http://jhr.uwpress.org/
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Nicole Watson & Mark Wooden, 2011.
"Re-engaging with Survey Non-respondents: The BHPS, SOEP and HILDA Survey Experience,"
Melbourne Institute Working Paper Series
wp2011n02, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
- Nicole Watson & Mark Wooden, 2011. "Re-engaging with Survey Non-respondents: The BHPS, SOEP and HILDA Survey Experience," SOEPpapers on Multidisciplinary Panel Data Research 379, DIW Berlin, The German Socio-Economic Panel (SOEP).
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ().
If references are entirely missing, you can add them using this form.