@article {8349, title = {Prescription drug coverage and drug utilization: New evidence from the HRS prescription drug study}, journal = {Journal of Economic and Social Measurement}, volume = {41}, year = {2016}, pages = {49-65}, publisher = {41}, abstract = {The linking of detailed information on health, medical care, and insurance to economic outcomes is a central feature of data collection efforts in the economics of aging. In this paper, I use newly available linked panel data from a unique supplement to the Health and Retirement Study (HRS) known as the Prescription Drug Study (PDS) to examine the impact of insurance coverage on prescription drug utilization for those 65 and older. Fixed-effect estimates suggest that gaining coverage resulted in a 15 increase in utilization. Gaining coverage also was associated with a 20-50 reduction in the incidence of cost-related non-adherence. However, even among the uninsured, only a relatively small proportion of drugs (12 ) were associated with episodes of cost-related non-adherence.}, keywords = {Healthcare, Insurance, Net Worth and Assets}, doi = {10.3233/JEM-150418}, author = {Gary V. Engelhardt} } @article {7578, title = {Pensions and Household Wealth Accumulation}, journal = {The Journal of Human Resources}, volume = {46}, year = {2011}, pages = {203-236}, publisher = {46}, abstract = {Economists have long suggested that higher private pension benefits crowd out other sources of household wealth accumulation. We exploit detailed information on pensions and lifetime earnings for older workers in the 1992 wave of the Health and Retirement Study and employ an instrumental-variable (IV) identification strategy to estimate crowd-out. The IV estimates suggest statistically significant crowd-out: each dollar of pension wealth is associated with a 53 67 cent decline in nonpension wealth. With less precision, we use an instrumental-variable quantile regression estimator and find that most of the effect is concentrated in the upper quantiles of the wealth distribution.}, keywords = {Adult children, Employment and Labor Force, Methodology, Net Worth and Assets, Pensions}, url = {https://www.jstor.org/stable/25764809}, author = {Gary V. Engelhardt and Kumar, Anil} } @inbook {5215, title = {Measuring Pension Wealth}, booktitle = {Redefining Retirement: How Will Boomers Fare?}, year = {2007}, note = {ProCite field 6 : In ProCite field 8 : eds}, publisher = {Oxford University Press}, organization = {Oxford University Press}, address = {New York, NY}, abstract = {Pension wealth plays a critical role in older individuals{\textquoteright} retirement behavior and financial security. Accordingly, the magnitude and distribution of pension wealth is important in the ongoing debate about whether Baby Boomers have adequate retirement savings. This chapter summarizes the results of a long-term effort to develop an improved calculator to measure defined contribution pension wealth of older Americans, implemented using the Health and Retirement Study. Results show that pension wealth resulting from voluntary saving (and accrued earnings thereon) comprises half of DC pension wealth calculated for HRS respondents with matched summary plan descriptions. These are lower mean estimates of DC pension wealth than previously found, mainly resulting from changes for the wealthiest tail of the pension-wealth distribution. The findings imply that researchers must think more carefully about the economic assumptions underlying pension measures.}, keywords = {Income, Net Worth and Assets, Pensions}, doi = {DOI:10.1093/acprof:oso/9780199230778.003.0010}, author = {Christopher R. Cunningham and Gary V. Engelhardt and Kumar, Anil} } @article {6799, title = {Pre-Retirement Lump-Sum Pension Distributions and Retirement Income Security: Evidence from the Health and Retirement Study}, journal = {National Tax Journal}, volume = {55}, year = {2002}, pages = {665-}, publisher = {55}, abstract = {This paper uses the Health and Retirement Study to examine the extent of retirement wealth erosion from pre-retirement lump-sum pension distributions. There is little evidence that spent distributions have resulted in significant pension leakage. If spent distributions had been rolled over into a tax-qualified plan, they would have represented 5-11 percent of pension and Social Security wealth for the median household that spent a distribution. However, one-quarter of the households that spent distributions--which is 2.25 percent of all households age 51 to 61--could have increased retirement wealth by 25 percent or more had the distributions been rolled over.}, keywords = {Methodology, Net Worth and Assets, Pensions}, url = {https://www.jstor.org/stable/41789634}, author = {Gary V. Engelhardt} } @article {5442, title = {How Does Dipping into Your Pension Affect Your Retirement Wealth?}, year = {2001}, institution = {Syracuse University}, keywords = {Net Worth and Assets, Pensions}, author = {Gary V. Engelhardt} } @article {5380, title = {401(k) Participation, lump-sum distributions, and retirement saving.}, year = {1999}, note = {Corporate Source: Performer: Syracuse Univ., NY. Center for Policy Research. Pension and Welfare Benefits Administration, Washington, DC. Descriptive Note: Sponsored by Pension and Welfare Benefits Administration, Washington, DC.}, institution = {Syracuse University}, abstract = {The striking shift toward 401(k)-type pension arrangements has led to concern that many households will have inadequate retirement saving. This could be the case if eligible individuals fail to contribute on a regular basis as well as for eligible individuals with no other pension plans or forms of retirement saving. Since previous studies of 401(k) participation have not been able to measure its determinants, this report examines the determinants of 401(k) participation for a nationally representative sample of pre-retirement aged households. The report also used detailed retrospective information on employment histories, pensions, demographics, and wealth in the Health and Retirement Study (HRS) to examine the disposition of pension assets upon pre -retirement job change.}, keywords = {Adult children, Consumption and Savings, Demographics, Employment and Labor Force, Net Worth and Assets}, author = {Gary V. Engelhardt} }