Catalog of Holdings

Study Report

Study Number: QN-010-001-3-1-United States-ICPSR-1982

Subject Area: Family and Child in Society

Bibliographic Citation: New Social Security beneficiary survey, 1982.  [machine-readable data file] / U.S. Department of Health and Human Services. Social Security Administration. Office of Research, Statistics and International Policy  [principal investigator(s)] / Ann Arbor, MI: Inter-university Consortium for Political and Social Research  [distributor].

Originating Archive Number: 8510

Date Accessioned: 5/12/1997

Number of Files Received: 0

Comments: The data is ftpable from ICPSR.

Access Status: Access limited to UW-Madison campus

Date Ordered: 5/1/1997

Documentation: 1 volume hard copy codebook, machine-readable, 1 volume reports and 1 volume user's manual.

Abstract: The New Beneficiary Survey collected information from recent recipients of Social Security benefits and their spouses and from persons aged 65 and older who were entitled to Medicare benefits but had not yet received Social Security benefits. These data cover demographic characteristics of the respondent, spouse, and other persons in the household, as well as employment history, health information, and current income of the respondent and spouse for the three months preceding the interview. Survey responses were linked with data on benefit status from the Social Security Administration's Master Beneficiary Record. Imputation was used to compensate for nonresponse in a set of income-related items. In addition, data are provided in Part 2 on covered earnings and quarters from 1951-1985. This information is averaged in two-year blocks to preserve confidentiality. The New Beneficiary Survey is a cross-sectional household survey using randomly selected samples. The survey is divided into 15 analytic subdomains by age, sex, and benefit status. Separate sample sizes were specified for each subdomain. The sample was adapted to the frame of the Institute for Survey Research/Mathematica Policy Research National Sample of Primary Sampling Units to achieve nationally representative cluster samples.

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