Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Click here for more information

CiteULike is a free service for managing and discovering scholarly references - click here to get started.

Sign In to gain access to subscriptions and/or personal tools.
Research on Aging
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Hardy, M. A.
Right arrow Articles by Hazelrigg, L.
Right arrow Search for Related Content
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

A Multilevel Model of Early Retirement Decisions among Autoworkers in Plants with Different Futures

Melissa A. Hardy

Florida State University

Lawrence Hazelrigg

Florida State University

During the period of their 1986-1989 General Motors (GM)-United Auto Workers (UAW) contract, about 17% of all GM autoworkers who were eligible to elect early retirement did so. Those who did were distinctive in theoretically expected ways, with expectations defined by individual characteristics such as age, physical health, and pension wealth. But some of the workers were employed in plants that GM had decided to abandon. Did that difference in organizational context make a difference in individual workers’ decisions about early retirement? Would workers who chose to take early retirement and who were employed in plants scheduled to close have made the same decision had their plants not been selected for closure? If the rate of early retirement was higher in plants scheduled to close, and it was, how did that difference relate to the process by which individual workers reached their decisions? These are some of the questions asked and answered through multilevel analyses of data from a probability sample of GM’s autoworkers. These analyses generate findings not detected in single-level analyses of the same data.

Research on Aging, Vol. 21, No. 2, 275-303 (1999)
DOI: 10.1177/0164027599212006


Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?


This article has been cited by other articles:


Home page
JOURNAL OF EDUCATIONAL AND BEHAVIORAL STATISTICSHome page
M. J. J. M. Candel and B. Winkens
Performance of Empirical Bayes Estimators of Level-2 Random Parameters in Multilevel Analysis: A Monte Carlo Study for Longitudinal Designs
Journal of Educational and Behavioral Statistics, January 1, 2003; 28(2): 169 - 194.
[Abstract] [PDF]