Decision Making on Early Retirement, 1965-1969 (ICPSR 7433)

Published: Jan 12, 2006

Principal Investigator(s):
Richard E. Barfield, University of Michigan; James N. Morgan, University of Michigan

Version V1

This study, designed by the Institute for Social Research, University of Michigan, and the Michigan Health and Social Security Research Institute, attempted to identify factors that weighed most heavily in the decision to retire voluntarily. Survey questions investigated attitudes toward employment (including positive or negative evaluation of income earned and of the kind of work done) as well as the evaluation of conditions anticipated under retirement (including satisfaction or dissatisfaction with expected retirement income and appreciation or dislike of leisure). These core items were supplemented with an assessment of situations and attitudes of respondents who were already retired. Part 1 includes data from 1,123 workers in the automobile industry, interviewed in 1967. In Part 2, data from Part 1 are merged with information obtained from 943 auto workers reinterviewed in 1969. The auto workers sample was chosen for its relative homogeneity and recourse to expanded retirement benefits. All respondents in this sample were aged 58-61, members of United Auto Workers, and employed at four automobile companies located in Michigan, Ohio, Indiana, and Illinois. Part 3 contains data from a cross-section sample of private households, included in this study in an attempt to broaden the investigation by placing the auto workers sample in correlation with a nationally representative sample, diverse in age, income, occupation, and retirement provisions. SURVEY OF CONSUMER FINANCES, 1966 (ICPSR 7446) provided data for 2,419 households, and information about another 1,228 households was obtained from SURVEY OF CONSUMER ATTITUDES AND BEHAVIOR, SUMMER 1966 (ICPSR 3620). Demographic information includes age, sex, race, marital status, level of education, and religious preference.

Barfield, Richard E., and Morgan, James N. Decision Making on Early Retirement, 1965-1969. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2006-01-12.

Export Citation:

  • RIS (generic format for RefWorks, EndNote, etc.)
  • EndNote

United States Department of Health, Education and Welfare. Social and Rehabilitation Service

United States Department of Health, Education and Welfare. Social Security Administration

1965 -- 1969

1966 -- 1969

Parts 1 and 2: Non-probability sample. Part 3: Multistage area probability sample.

Parts 1 and 2: Workers in the automobile industry born between 1904-1907. Part 3: Households in the contiguous United States.

(1) personal interviews, (2) SURVEY OF CONSUMER FINANCES, 1966 (ICPSR 7446), and (3) SURVEY OF CONSUMER ATTITUDES AND BEHAVIOR, SUMMER 1966 (ICPSR 3620)

survey data



2006-01-12 All files were removed from dataset 4 and flagged as study-level files, so that they will accompany all downloads.

2005-11-04 On 2005-03-14 new files were added to one or more datasets. These files included additional setup files as well as one or more of the following: SAS program, SAS transport, SPSS portable, and Stata system files. The metadata record was revised 2005-11-04 to reflect these additions.

1984-03-18 ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection:

  • Standardized missing values.
  • Checked for undocumented or out-of-range codes.


  • Data in this collection are available only to users at ICPSR member institutions.

  • The citation of this study may have changed due to the new version control system that has been implemented.
ICPSR logo

This study is provided by ICPSR. ICPSR provides leadership and training in data access, curation, and methods of analysis for a diverse and expanding social science research community.