Limited Competition: The Health and Retirement Study (U01)
Sector: Government • Location: United States of America
Source: Grants.gov
This limited competition FOA is to continue the Health and Retirement Study (HRS) as the pre-eminent resource of publicly-available data for researchers, policy analysts and program planners who are studying and/or making major policy decisions that affect retirement, pensions, health insurance, savings and economic well-being. The purpose of this FOA is to solicit an application for the next 6-y
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | archived |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | This limited competition FOA is to continue the Health and Retirement Study (HRS) as the pre-eminent resource of publicly-available data for researchers, policy analysts and program planners who are studying and/or making major policy decisions that affect retirement, pensions, health insurance, savings and economic well-being. The purpose of this FOA is to solicit an application for the next 6-year cycle of the HRS. The goals of this next phase are to continue the steady-state longitudinal design for data collection and content; continue innovative sub-studies such as on consumption and time use; enhance content and methods on health, functioning, cognitive status, wealth, pensions, family structure, and psychosocial factors; continue to develop relevant linkages to administrative data; maintain and enhance data distribution and user support; and extend harmonization efforts with internationally comparable surveys of population aging. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
