Papers Containing Keywords(s): 'death'
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Viewing papers 1 through 10 of 10
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Working PaperEducation and Mortality: Evidence for the Silent Generation from Linked Census and Administrative Data
August 2025
Working Paper Number:
CES-25-56
We quantify the effect of education on mortality using a linkage of the full count 1940, 2000, and 2010 US census files and the Numident death records file. Our sample is composed of children aged 0-18 in 1940, observed living with at least one parent, for whom we can construct a rich set of parental and neighborhood characteristics. We estimate effects of educational attainment in 1940 on survival to 2000, as well as the effects of completed education, observed in 2000, on 10-year survival to 2010. The educational gradients in longevity that we estimate are robust to the inclusion of detailed individual, parental, household, neighborhood and county covariates. Given our full population census sample, we also explore rich patterns of heterogeneity and examine the effect of mediators of the education-mortality relationship. The mediators we consider in this study explain more than half of the relationship between education and mortality. We further show that the mechanisms underlying the education-mortality gradient might be different at different margins of educational attainment.View Full Paper PDF
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Working PaperGeographic Disparities in Alzheimer's Disease and Related Dementia Mortality in the US: Comparing Impacts of Place of Birth and Place of Residence
January 2025
Working Paper Number:
CES-25-11
Objective: Building on the hypothesis that early-life exposures might influence the onset of Alzheimer's Disease and Related Dementia (ADRD), this study delves into geographic variations in ADRD mortality in the US. By considering both state of residence and state of birth, we aim to discern the comparative significance of these geospatial factors. Methods: We conducted a secondary data analysis of the National Longitudinal Mortality Study (NLMS), that has 3.5 million records from 1973-2011 and over 0.5 million deaths. We focused on individuals born in or before 1930, tracked in NLMS cohorts from 1979-2000. Employing multi-level logistic regression, with individuals nested within states of residence and/or states of birth, we assessed the role of geographical factors in ADRD mortality variation. Results: We found that both state of birth and state of residence account for a modest portion of ADRD mortality variation. Specifically, state of residence explains 1.19% of the total variation in ADRD mortality, whereas state of birth explains only 0.6%. When combined, both state of residence and state of birth account for only 1.05% of the variation, suggesting state of residence could matter more in ADRD mortality outcomes. Conclusion: Findings of this study suggest that state of residence explains more variation in ADRD mortality than state of birth. These results indicate that factors in later life may present more impactful intervention points for curbing ADRD mortality. While early-life environmental exposures remain relevant, their role as primary determinants of ADRD in later life appears to be less pronounced in this study.View Full Paper PDF
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Working PaperAge, Sex, and Racial/Ethnic Disparities and Temporal-Spatial Variation in Excess All-Cause Mortality During the COVID-19 Pandemic: Evidence from Linked Administrative and Census Bureau Data
May 2022
Working Paper Number:
CES-22-18
Research on the impact of the COVID-19 pandemic in the United States has highlighted substantial racial/ethnic disparities in excess mortality, but reports often differ in the details with respect to the size of these disparities. We suggest that these inconsistencies stem from differences in the temporal scope and measurement of race/ethnicity in existing data. We address these issues using death records for 2010 through 2021 from the Social Security Administration, covering the universe of individuals ever issued a Social Security Number, linked to race/ethnicity responses from the decennial census and American Community Survey. We use these data to (1) estimate excess all-cause mortality at the national level and for age-, sex-, and race/ethnicity-specific subgroups, (2) examine racial/ethnic variation in excess mortality over the course of the pandemic, and (3) explore whether and how racial/ethnic mortality disparities vary across states.View Full Paper PDF
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Working PaperA Shore Thing: Post-Hurricane Outcomes for Businesses in Coastal Areas
September 2020
Working Paper Number:
CES-20-27
During the twenty-first century, hurricanes, heavy storms, and flooding have affected many areas in the United States. Natural disasters and climate change can cause property damage and could have an impact on a variety of business outcomes. This paper builds upon existing research and literature that analyzes the impact of natural disasters on businesses. Specifically, we look at the differential effect of eight hurricanes during the period 2000-2009 on establishments in coastal counties relative to establishments in coastal-adjacent or inland counties. Our outcomes of interest include establishment employment and death. We find that following a hurricane event, establishments located in a coastal county have lower employment and increased probability of death relative to establishments in non-coastal counties.View Full Paper PDF
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Working PaperNew Evidence on the Impacts of Early Exposure to the 1918 Influenza Pandemic on Old-Age Mortality
January 2018
Working Paper Number:
CES-18-06
This paper provides new evidence of the impacts of early life exposure to the 1918 pandemic with old-age mortality by analyzing data from the National Longitudinal Mortality Study (n ~ 220,000). The specifications used year and quarter of birth indicators to assess the effects of timing of pandemic exposure and used Cox proportional hazard models for all-cause mortality outcomes. The findings suggest evidence of excess all-cause mortality for cohorts born during 1918 and mixed evidence for cohorts born in 1917 and 1919. Therefore, contrary to some existing research, the results suggest no consistent evidence of the importance of specific windows of exposure by gestation period.View Full Paper PDF
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Working PaperExamining Multi-Level Correlates of Suicide by Merging NVDRS and ACS Data
January 2017
Working Paper Number:
CES-17-25
This paper describes a novel database and an associated suicide event prediction model that surmount longstanding barriers in suicide risk factor research. The database comingles person-level records from the National Violent Death Reporting System (NVDRS) and the American Community Survey (ACS) to establish a case-control study sample that includes all identified suicide cases, while faithfully reflecting general population sociodemographics, in sixteen USA states during the years 2005 2011. It supports a statistical model of individual suicide risk that accommodates person-level factors and the moderation of these factors by their community rates. Named the United States Multi-Level Suicide Data Set (US-MSDS), the database was developed outside the RDC laboratory using publicly available ACS microdata, and reconstructed inside the laboratory using restricted access ACS microdata. Analyses of the latter version yielded findings that largely amplified but also extended those obtained from analyses of the former. This experience shows that the analytic precision achievable using restricted access ACS data can play an important role in conducting social research, although it also indicates that publicly available ACS data have considerable value in conducting preliminary analyses and preparing to use an RDC laboratory. The database development strategy may interest scientists investigating sociodemographic risk factors for other types of low-frequency mortality.View Full Paper PDF
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Working PaperWhy Are Plant Deaths Countercyclical: Reallocation Timing or Fragility?
November 2006
Working Paper Number:
CES-06-24
Because plant deaths destroy specific capital with large local economic impacts and potentially important macroeconmic effects, understanding the causes of deaths and, in particular, why they are concentrated in cyclical downturns, is important. The reallocationtiming hypothesis posits that plants suffering adverse permanent demand/productivity shocks delay shutdowns until cyclical downturns when plant capacity is less valuable, while the fragility hypothesis posits that shutdowns occur in downturns because the option value of maintaining the plant through low profitability periods is too small. I show that the effect that a plant's specific capital has on the timing of plant deaths differs across these two hypotheses and then use this insight to test the hypotheses' relative importance. I find that fragility is the dominant cause of the countercyclical behavior of plant deaths. This suggests that the endogenous destruction of capital is likely an important amplification and propagation mechanism for cyclical shocks and that stabilization policies have the benefit of reduced capital destruction.View Full Paper PDF
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Working PaperFirm Structure, Multinationals, and Manufacturing Plant Deaths
October 2005
Working Paper Number:
CES-05-18
Plant shutdowns shape industry and aggregate productivity paths and play a major role in the dynamics of employment and industrial restructuring. Plant closures in the U.S. manufacturing sector account for more than half of gross job destruction. While multi-plant firms and multinationals dominate U.S. manufacturing, theoretical and empirical work has largely ignored the role of firms in the plant shutdown decision. This paper examines the effects of firm structure on manufacturing plant closures. Using U.S. data, we find that plants belonging to multi-plant firms are less likely to exit. Similarly, plants owned by U.S. multinationals are less likely to close. However, the superior survival chances are due to the characteristics of the plants themselves rather than the nature of the firms. Controlling for plant and industry attributes that reduce the probability of death, we find that plants owned by multi-unit firms and U.S. multinationals are much more likely to close. A recent change in ownership also increases the chances that a plant will be closed.View Full Paper PDF
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Working PaperThe Deaths of Manufacturing Plants
June 2002
Working Paper Number:
CES-02-15
This paper examines the causes of manufacturing plant deaths within and across industries in the U.S. from 1977-1997. The effects of international competition from low wage countries, exporting, ownership structure, product diversity, productivity, geography, and plant characteristics are considered. The probability of shutdowns is higher in industries that face increased competition from lowincome countries, especially for low-wage, labor-intensive plants within those industries. Conditional on industry and plant characteristics, closures occur more often at plants that are part of a multi-plant firm and at plants that have recently experienced a change in ownership. Plants owned by U.S. multinationals are more likely to close than similar plants at non-multinational firms. Exits occur less frequently at multi-product plants, at exporters, at plants that pay above average wages, and at large, older, more productive and more capital-intensive plants.View Full Paper PDF
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Working PaperSuccessor/Predecessor Firms
March 2002
Working Paper Number:
tp-2002-04
The goal of this research was to investigate the value added from using worker flows to identify the spurious births and deaths of businesses. We identify four types of "at risk" businesses from ES202 using the successor/predecessor flag and mimic the same categories using UI wage record data. We use two critical decision rules in the analysis: a successor firm has to have at least 80% of employment coming from the donor firm and (in two of the four categories) at least 5 employees have to come from the donor firm. We examine the sensitivity of the categories based on the percentage definition, and find that the results stay very similar, with the exception of the identification of the pure successor. We examine the sensitivity based on the count threshold, and find that there are enormous differences, particularly with identifying spinoff businesses.View Full Paper PDF
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