Introduction to HRS dataset

Nicky Wakim

The Health and Retirement Study (HRS)

From HRS website:

The University of Michigan Health and Retirement Study (HRS) is a longitudinal panel study that surveys a representative sample of approximately 20,000 people in America, supported by the National Institute on Aging (NIA U01AG009740) and the Social Security Administration.

 

  • HRS measures many aspects of aging, including health, retirement, and economic status

We are using synthetic data

  • We will be working with a synthetic dataset from HRS
    • We will be using this dataset in our lessons

 

  • HRS is a protected dataset, so I cannot publish the real data

 

  • My synthetic dataset has the same structure and variables as the real HRS data
    • Initial correlations of the data are not preserved in this dataset!!

A little bit more info on our dataset

  • We have measurements on 2,728 synthetic individuals from the HRS dataset

 

  • Measurements include:
    • Household information
    • Demographics
    • Health behaviors
    • Phyiscal health information
    • Mental health information
    • Economic information

Resources

Note on AI usage

  • I used some AI to help me clean the data, rename variables, and label variables
  • I also asked AI to help me make the codebook