@book {5277,
	title = {Redefining Retirement: How Will Boomers Fare?},
	year = {2007},
	note = {ProCite field 8 : eds},
	publisher = {Oxford University Press},
	organization = {Oxford University Press},
	address = {New York, NY},
	keywords = {Consumption and Savings, Health Conditions and Status, Income, Medicare/Medicaid/Health Insurance, Net Worth and Assets, Pensions},
	url = {https://pensionresearchcouncil.wharton.upenn.edu/publications/books/redefining-retirement-how-will-boomers-fare/},
	author = {Brigitte C. Madrian and Olivia S. Mitchell and Beth J Soldo}
}
@article {5643,
	title = {HRS 2001 HUMS College Tuition Imputations},
	year = {2005},
	institution = {Institute for Social Research, University of Michigan},
	address = {Ann Arbor, Michigan},
	abstract = {HRS 2001 Off-Year Mail Survey on Human Capital Investment (HRS 2001 HUMS) collected important information on the education of HRS respondents  children. Among other things, the survey asked a selected set of HRS respondents to provide information about whether a child attended a two- or four-year undergraduate college, the total number of years in college(s), his or her age when he or she last attended college, and the name of the college that he or she last attended. One way to use the information is to produce college tuition data associated with each child, which can then be linked in an integrated analysis of family transfer with other family transfer information collected in the HRS core survey.    In this document we describe what we have done in imputing HRS 2001 HUMS college tuitions. The general idea is to link the children college attendance information in HRS 2001 HUMS with a college tuition database (CASPAR) created and administered by the National Science Foundation. For 2000 and 2001, college cost data are also taken from the NCES IPEDS online database.},
	keywords = {Consumption and Savings, Methodology, Net Worth and Assets},
	author = {Cao, Honggao and John C Henretta and Norgard, T.M. and Beth J Soldo and David R Weir}
}
@article {6573,
	title = {Asset and Health Dynamics Among the Oldest Old: An overview of the AHEAD Study},
	journal = {The Journals of Gerontology, Series B: Psychological Sciences and Social Sciences},
	volume = {52B},
	year = {1997},
	pages = {1-20},
	publisher = {52B},
	abstract = {This article contains background information on the study of Asset and Health Dynamics Among the Oldest Old (AHEAD), a prospective panel survey of persons born in 1923 or earlier who were residing in the community at the time of the 1993 baseline. Interviews were sought with both spouses in married households, and an overall total of 8,222 were completed. We review the interdisciplinary scientific issues that motivated the study, describe the fundamental design decisions that structured AHEAD, and summarize the content in the core and experimental modules. The study provides unusually detailed data on cognition, family structure and transfers, and assets. Data are presented on sample selections, response rates, and oversamples of minority groups. Basic descriptive data on the demographic, health, and socioeconomic attributes of respondents also are presented. Plans for future waves of AHEAD are described, including a next-of-kin interview for decreased respondents.},
	keywords = {Adult children, Demographics, Health Conditions and Status, Healthcare, Income, Methodology, Net Worth and Assets},
	author = {Beth J Soldo and Michael D Hurd and Willard L Rodgers and Robert B Wallace}
}
@article {6530,
	title = {Family Structure and Transfer Measures in the Health and Retirement Study:  Background and Overview},
	journal = {Journal of Human Resources},
	volume = {30},
	year = {1995},
	note = {ProCite field 3 : Georgetown U; Institute for Social Research, U MI},
	pages = {S108-37},
	publisher = {30},
	abstract = {This paper describes the rationale for and the measures of family structure and inter-vivos giving in the Health and Retirement Study (HRS).  Of particular interest to the HRS is the extent to which transfers affect the labor supply of donors, especially women. Because all children and parents are individually profiled, HRS data can be used to examine the joint allocation of space, time, and money among competing kin.  Data on siblings of respondents with living parents provide further opportunities to consider how adult children distribute the burden of parent care among themselves. Using the baseline HRS, we describe the quality of data on kin attributes and the correlations among family structures, transfers, and work.},
	keywords = {Adult children, Demographics, Net Worth and Assets},
	doi = {10.2307/146280},
	author = {Beth J Soldo and Martha S. Hill}
}
