a PSC Research Project
Investigator: David Weir
The University of Michigan will perform two major tasks under this subcontract. It will manage and conduct all internet interviews with HRS respondents, and it will provide design leadership on internet approaches to the measurement of preference parameters, for both the ALP and HRS surveys.
HRS internet interviews. The expectation is to conduct at least one internet interview with every HRS respondent having internet access in the intervals between core HRS interviews, with the exception of designed control groups. Based on current rates of access, we expect about 6,000 eligible respondents to be interviewed by internet every two years. These interviews will vary in content and in timing, requiring a nearly continuous effort at programming, respondent contacts, sample management, and data management. The benefits of conducting these interviews at the University of Michigan are numerous. All respondent contacts can be handled by the same staff that conducts the core HRS interviews, providing greater continuity, efficiency and security compared with having internet surveys administered elsewhere. It will facilitate the use of core survey information to determine the content of internet interviews. Experiments with mixed-mode designs crossing mail and internet surveys will only be manageable in a single common environment.
Preference parameters. Economists at the University of Michigan have pioneered the development of survey methods to elicit preference parameters such as rates of time discount and risk aversion. These have been used on the HRS in its core survey and in experimental modules. The internet offers new opportunities for sophisticated question design in this area. This work will be done in collaboration with RAND investigators, and tested on ALP respondents prior to use on HRS respondents.
|Funding:||National Institute on Aging (R01 AG20717)|
Funding Period: 07/01/2008 to 04/30/2013
Country of Focus: USA