Harmonized HRS Creation Code
The Harmonized HRS version B dataset is created using data from Wave 1 through Wave 12 of HRS.
Download the Harmonized HRS Stata Creation Code.
To run the Harmonized HRS Creation Code in Stata:
- Download and store the following Stata files from Wave 1 through 12 of the HRS in a single folder on your computer:
- RAND HRS Longitudinal File
- RAND HRS Family Data File
- Cross-wave: Tracker 2014 File
- Core Fat files (RAND)
- Final Core Preload (PR_MC) files
- Final Core Health Care Utilization (E_HP) files
- Edit lines 12 of the Stata Creation Code to list the folder location of the all HRS data and edit line 13 to list the folder location where you would like to save the Harmonized HRS dataset.
If you would prefer to work with the Harmonized HRS dataset in a statistical package other than Stata, you can convert the Harmonized HRS Stata dataset using a program such as Stat/Transfer.
If you do not have access to Stat/Transfer, you may be able to read the .dta dataset into your stat package using an “import” or “get” function.
When reading a .dta dataset into another package, it is best to first save the dataset in a Stata version 12 format using the command saveold.
Download of the LASI Pilot micro data requires agreement to following conditions:
Make no attempts to identify study participants.
Not to transfer LASI Public Release data to any third party other than staff or students for whom you are directly responsible.
Not to allow others to use your username and password to access this site.
To certify the destruction of any downloaded Public Release data file as well as any data files derived from the downloaded file when requested to do so by USC.
Report immediately to USC at email@example.com any disclosure of study participant identity as well as any discovery of flaws or errors in the data or documentation files.
Notify USC through use of the update function provided at this site or by electronic mail directed to firstname.lastname@example.org of changes in your electronic mail address, postal address, telephone number or organizational affiliation.
Inform our team of any written analysis using data from the LASI Pilot micro data or information from the LASI Pilot micro data documentation by sending an email to email@example.com. We also ask users to include the following acknowledgement in their written work: "This analysis uses data or information from the LASI Pilot micro data and documentation. The development and release of the LASI Pilot Study was funded by the National Institute on Ageing / National Institute of Health (R21AG032572, R03AG043052, and R01 AG030153).”