64th Annual Summer Institute in Survey Research Techniques: June 6 - July 29, 2011

February 1, 2011 (updated April 8, 2011)

The Summer Institute in Survey Research Techniques is a teaching program of the Survey Research Center at the Institute for Social Research. Classes are held on the central campus of the University of Michigan at 426 Thompson Street in Ann Arbor.

Week 3 (June 20-24): Examining the Health and Retirement Study (HRS) Workshop (not for credit)

Instructors: Mary Beth Ofstedal, University of Michigan; Gwen Fisher, University of Michigan

The HRS is a large-scale longitudinal study of the labor force participation and health transitions that individuals undergo toward the end of their work lives and in the years that follow. The survey collects information about income, work, assets, pension plans, health insurance, disability, physical health and functioning, cognitive functioning, and health care expenditures. The HRS Summer Workshop is intended to give participants an introduction to the HRS that will enable them to use the data for research. The workshop features:

  • Morning lectures on basic survey content, sample design, weighting, and restricted data files
  • Hands-on data workshops every afternoon in which participants learn to work with the data under the guidance of HRS staff.
  • Introduction to the RAND HRS data files, with presentation by the RAND staff.

In 2011, the workshop will focus on family data collected as part of the core HRS survey. Participants will gain hands-on experience with a new, cross-wave family data file that has been developed by RAND, under the direction of Drs. Kathleen McGarry (Professor of Economics, University of California, Los Angeles and HRS Co-Investigator) and Julie Zissimopoulos (Research Associate Professor, University of Southern California and Adjunct RAND Senior Economist). Kathleen McGarry will be the featured presenter, describing substantive issues and research using the HRS family data.

HRS data and documentation are available to the public at http://hrsonline.isr.umich.edu