TY - JOUR T1 - The effect of job loss on health: Evidence from biomarkers JF - Labour Economics Y1 - 2016 A1 - Pierre-Carl Michaud A1 - Eileen M. Crimmins A1 - Michael D Hurd KW - Biomarkers KW - Health Shocks KW - Job loss KW - Older Adults KW - Retirement Planning and Satisfaction AB - We estimate the effect of job loss on objective measures of physiological dysregulation using biomarker measures collected by the Health and Retirement Study in 2006 and 2008 and longitudinal self-reports of work status. We distinguish between group or individual layoffs, and business closures. Workers who are laid off from their job have lower health as measured by biomarker, whereas workers laid off in the context of a business closure do not. Estimates matching respondents wave-by-wave on self-reported health conditions and subjective job loss expectations prior to job loss, suggest strong effects of layoffs on biomarkers, in particular for glycosylated hemoglobin (HbA1c). A layoff could increase annual mortality rates by 10.3%, consistent with other evidence of the effect of group layoffs on mortality. VL - 41 UR - http://linkinghub.elsevier.com/retrieve/pii/S0927537116300288http://api.elsevier.com/content/article/PII:S0927537116300288?httpAccept=text/xmlhttp://api.elsevier.com/content/article/PII:S0927537116300288?httpAccept=text/plain JO - Labour Economics ER - TY - JOUR T1 - Disease incidence and mortality among older Americans and Europeans. JF - Demography Y1 - 2015 A1 - Sole-Auro, Aida A1 - Pierre-Carl Michaud A1 - Michael D Hurd A1 - Eileen M. Crimmins KW - Age Distribution KW - Aged KW - Chronic disease KW - Europe KW - Health Behavior KW - Humans KW - Incidence KW - Middle Aged KW - Neoplasms KW - Prevalence KW - Risk Factors KW - Sex Distribution KW - Socioeconomic factors KW - United States AB -

Recent research has shown a widening gap in life expectancy at age 50 between the United States and Europe as well as large differences in the prevalence of diseases at older ages. Little is known about the processes determining international differences in the prevalence of chronic diseases. Higher prevalence of disease could result from either higher incidence or longer disease-specific survival. This article uses comparable longitudinal data from 2004 and 2006 for populations aged 50 to 79 from the United States and from a selected group of European countries to examine age-specific differences in prevalence and incidence of heart disease, stroke, lung disease, diabetes, hypertension, and cancer as well as mortality associated with each disease. Not surprisingly, we find that Americans have higher disease prevalence. For heart disease, diabetes, and cancer, incidence is lower in Europe when we control for sociodemographic and health behavior differences in risk, and these differences explain much of the prevalence gap at older ages. On the other hand, incidence is higher in Europe for lung disease and not different between Europe and the United States for hypertension and stroke. Our findings do not suggest a survival advantage conditional on disease in Europe compared with the United States. Therefore, the origin of the higher disease prevalence at older ages in the United States is to be found in higher prevalence earlier in the life course and, for some conditions, higher incidence between ages 50 and 79.

VL - 52 IS - 2 U1 - http://www.ncbi.nlm.nih.gov/pubmed/25715676?dopt=Abstract ER - TY - RPRT T1 - The Effect of Job Loss on Health: Evidence from Biomarkers Y1 - 2014 A1 - Pierre-Carl Michaud A1 - Eileen M. Crimmins A1 - Michael D Hurd KW - Demographics KW - Employment and Labor Force KW - Health Conditions and Status KW - Methodology AB - The effect of job loss on health may play an important role in the development of the SES-health gradient. In this paper, we estimate the effect of job loss on objective measures of physiological dysregulation using longitudinal data from the Health and Retirement Study and biomarker measures collected in 2006 and 2008. We use a variety of econometric methods to account for selection and reverse causality.Distinguishing between layoffs and business closures, we find no evidence that business closures lead to worse health outcomes. We also find no evidence that biomarker health measures predict subsequent job loss because of business closures. We do find evidence that layoffs lead to diminished health. Although this finding appears to be robust to confounders, we find that reverse causality tends to bias downward our estimates. Matching estimates, which account for self-reported health conditions prior to the layoff and subjective job loss expectations, suggest even stronger estimates of the effect of layoffs on health as measured from biomarkers, in particular for glycosylated hemoglobin (HbA1c) and C-reactive protein (CRP). Overall, we estimate that a layoff could increase annual mortality rates by 9.4 , which is consistent with other evidence of the effect of mass layoffs on mortality. PB - Bonn, Germany, Institute for the Study of Labor U4 - job loss/health/SES-health gradient/biomarkers/Socioeconomic Status/Self assessed health/Layoffs/biomarkers ER - TY - CHAP T1 - Pathways to Disability: Predicting Health Trajectories T2 - Health at Older Ages: The Causes and Consequences of Declining Disability Y1 - 2008 A1 - Florian Heiss A1 - Axel Borsch-Supan A1 - Michael D Hurd A1 - David A Wise ED - David M Cutler ED - David A Wise KW - Disabilities KW - Healthcare JF - Health at Older Ages: The Causes and Consequences of Declining Disability SN - 0-226-13231-5 UR - https://www.nber.org/books-and-chapters/health-older-ages-causes-and-consequences-declining-disability-among-elderly/pathways-disability-predicting-health-trajectories U4 - DISABILITY/DISABILITY/health trajectories/health trajectories ER - TY - RPRT T1 - Enhancing the Quality of Data on the Measurement of Income and Wealth Y1 - 2007 A1 - Juster, F. Thomas A1 - Cao, Honggao A1 - Mick P. Couper A1 - Daniel H. Hill A1 - Michael D Hurd A1 - Joseph P. Lupton A1 - Michael M. Perry A1 - James P Smith KW - Income KW - Methodology KW - Net Worth and Assets AB - Over the last decade or so, a substantial effort has gone into the design of a series of methodological investigations aimed at enhancing the quality of survey data on income and wealth. These investigations have largely been conducted at the Survey Research Center at the University of Michigan, and have mainly involved two longitudinal surveys: the Health and Retirement Study (HRS), with a first wave beginning in 1992 and continued thereafter every other year through 2004; and the Assets and Health Dynamics Among the Oldest Old (AHEAD) Study, begun in 1993 and continued in 1995 and 1998, then in every other year through 2004. Surveys for the year 2006 are currently in the field. This paper provides an overview of the main studies and summarizes what has been learned so far. The studies include; a paper by Juster and Smith (Improving the Quality of Economic Data: Lessons from the HRS and AHEAD, JASA, 1997); a paper by Juster, Cao, Perry and Couper (The Effect of Unfolding Brackets on the Quality of Wealth Data in HRS, MRRC Working Paper, WP 2006-113, January 2006); a paper by Hurd, Juster and Smith (Enhancing the Quality of Data on Income: Recent Innovations from the HRS, Journal of Human Resources, Summer 2003); a paper by Juster, Lupton and Cao (Ensuring Time-Series Consistency in Estimates of Income and Wealth, MRRC Working Paper, WP 2002-030, July 2002); a paper by Cao and Juster (Correcting Second-Home Equity in HRS/AHEAD: MRRC Working Paper WP 2004-081, June 2004); and a paper by Rohwedder, Haider and Hurd (RAND Working Paper, 2004). JF - Michigan Retirement and Disability Research Center Research Paper PB - Michigan Retirement and Disability Research Center, University of Michigan CY - Ann Arbor, MI UR - https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1095815 U4 - Methodology/Data Quality/income/Wealth ER - TY - CHAP T1 - Consumption and Saving Balances of the Elderly: Experimental Evidence on Survey Response Bias T2 - Frontiers in the Economics of Aging Y1 - 1998 A1 - Michael D Hurd A1 - Daniel McFadden A1 - Chand, Harish A1 - Gan, Li A1 - Merrill, Angela A1 - Michael Ewing Roberts ED - David A Wise KW - Consumption and Savings KW - Methodology AB - A prerequisite for understanding the economic behavior of the elderly, and the impacts of public policy on their health and well-being, is accurate data on key economic variables such as income, consumption, and assets, as well as on expectations regarding future economic and demographic events such as major health costs, disabilities, and death. Standard practice is to elicit such information in economic surveys, relying on respondents’ statements regarding the variables in question. Economists are generally aware that stated responses are noisy. Item nonresponse is a common problem, and carefully done surveys are designed to minimize it. Well-designed analyses of economic survey data are careful about detecting implausible outliers, imputing missing values, and correcting for selection caused by dropping missing observations. Circumstances are recognized that tend to produce systematic biases in response, such as telescoping in recall of past events that arises from the psychophysical perception of time intervals, or overstatement of charitable contributions that arises from the incentive to project a positive self-image. Nevertheless, economic studies are often too sanguine about the reliability of subjects’ statements regarding objective economic data. JF - Frontiers in the Economics of Aging PB - Univ. of Chicago Press CY - Chicago UR - https://www.nber.org/chapters/c7306 N1 - ProCite field 8 : ed. U4 - Consumption/Savings/Survey Methods JO - Consumption and Saving Balances of the Elderly: Experimental Evidence on Survey Response Bias ER - TY - CHAP T1 - Household Wealth of the Elderly under Alternative Imputation Procedures T2 - Inquiries in the economics of aging Y1 - 1998 A1 - Hoynes, Hilary A1 - Michael D Hurd A1 - Chand, Harish ED - David A Wise KW - Consumption and Savings KW - Demographics KW - Income KW - Net Worth and Assets KW - Retirement Planning and Satisfaction AB - Although many reach retirement with few resources except housing equity and a claim to social security and Medicare, financial wealth, nonetheless, makes an important contribution to the economic status of many of the elderly. Most of our up-to-date information about the wealth of the elderly is based on the Survey of Income and Program Participation (SIPP), which sometimes adds an asset module to its core survey. As in many surveys of assets, the rate of missing data on individual asset items is high, about 30 to 40 percent among those with the asset. This raises the issue of the reliability of SIPP wealth measures because respondents who refuse or are unable to give a value to an asset item may not be representative of the population. Indeed, in the Health and Retirement Survey (HRS) it is clear that asset data are not missing at random. Through the use of bracketing methods, which we will discuss below, the HRS was able to reduce the rate of missing asset data substantially, and the data that were added in this way increased mean wealth in the HRS by about 40 percent (Smith 1995). Furthermore, because the additional data increased the mean so much, they undoubtedly increased measures of wealth inequality. JF - Inquiries in the economics of aging PB - University of Chicago Press CY - Chicago and London UR - https://www.nber.org/chapters/c7088 IS - NBER Project Report series N1 - ProCite field[3]: U CA, Berkeley and NBER; SUNY, Stony Brook, RAND, and NBER; U CA, Berkeley U4 - Economics of the Elderly/Retirement/Retirement Policies/Personal Income and Wealth Distribution/Elderly/Wealth JO - Household Wealth of the Elderly under Alternative Imputation Procedures ER -