Inequality in Mortality Over the Life Course: Why Things Are Not as Bad as You Think

Currie, Janet

doi:10.1111/coep.12267

Cited by 6 publications

(3 citation statements)

References 22 publications

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“…Between 1999 and 2018, the United States' age‐adjusted drug overdose death rate more than tripled from 6.1 per 100,000 population in 1999 to 20.7 in 2018 (Hedegaard et al., 2020) contributing to a reversal of an otherwise declining midlife mortality trend for middle‐aged Whites (Case & Deaton, 2015) and increased mortality among younger males aged 20–49 (Currie, 2018). Despite a 4.1% decline in the overall number of drug overdose deaths in 2018 compared to 2017, the percentage of deaths involving opioids remains relatively stable at 70% (Wilson et al., 2020).…”

Section: Introductionmentioning

confidence: 99%

Must‐access prescription drug monitoring programs and retail opioid sales

Shakya

Hodges

2022

Contemporary Economic Policy

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This paper examines the effect of prescription drug monitoring programs (PDMPs) on the retail sales of eight commonly prescribed opioids in the United States. Specifically, we exploit variation in state‐level policies to identify states with “must‐access” versus voluntary PDMPs. Our results suggest that must‐access PDMP implementation does not uniformly reduce prescription retail opioid sales. We also find evidence that must‐access PDMP implementation does not affect the retail sales of two treatment drugs, methadone and buprenorphine. These results suggest that policymakers should consider PDMP implementation as part of a broader response to the opioid crisis rather than a singular policy intervention.

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Section: Introductionmentioning

confidence: 99%

Must‐access prescription drug monitoring programs and retail opioid sales

Shakya

Hodges

2022

Contemporary Economic Policy

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“…Changes are even larger for other age groups over other time periods. Dowd and Hamoudi (2014) and Currie (2018) argue that the bias may be so large that estimates of mortality change among LEHS people are effectively uninformative.…”

Section: Application 1: Mortality As a Function Of Educationmentioning

confidence: 99%

“…In contrast,Dowd and Hamoudi (2014) andBound et al (2015) perform analytical exercises that suggest that compositional shifts can explain most or all of recent mortality changes Bound et al (2015). estimate mortality for the bottom quartile of the education distribution, implicitly assuming that mortality is constant within each interval-censored mortality rank bin Currie (2018). suggests that studying mortality for the least educated is entirely misleading because of the shrinking size of this group Goldring et al (2016).…”

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confidence: 99%

Partial Identification of Expectations with Interval Data

Asher¹,

Novosad²,

Rafkin³

2018

Preprint

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A conditional expectation function (CEF) can at best be partially identified when the conditioning variable is interval censored. When the number of bins is small, existing methods often yield minimally informative bounds. We propose three innovations that make meaningful inference possible in interval data contexts. First, we prove novel nonparametric bounds for contexts where the distribution of the censored variable is known. Second, we show that a class of measures that describe the conditional mean across a fixed interval of the conditioning space can often be bounded tightly even when the CEF itself cannot. Third, we show that a constraint on CEF curvature can either tighten bounds or can substitute for the monotonicity assumption often made in interval data applications. We derive analytical bounds that use the first two innovations, and develop a numerical method to calculate bounds under the third. We show the performance of the method in simulations and then present two applications. First, we resolve a known problem in the estimation of mortality as a function of education: because individuals with high school or less are a smaller and thus more negatively selected group over time, estimates of their mortality change are likely to be biased. Our method makes it possible to hold education rank bins constant over time, revealing that current estimates of rising mortality for less educated women are biased upward in some cases by a factor of three. The method is also applicable to the estimation of education gradients in patterns of fertility, marriage and disability, among others, where similar compositional problems arise. Second, we apply the method to the estimation of intergenerational mobility, where researchers frequently use coarsely measured education data in the many contexts where matched parent-child income data are unavailable. We show that conventional measures like the rank-rank correlation may be uninformative once interval censoring is taken into account, but CEF interval-based measures of mobility are bounded tightly.

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Longevity Heterogeneity in the Twenty-First Century

Milevsky

2024

The Religious Roots of Longevity Risk Sharing

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Inequality in Mortality Over the Life Course: Why Things Are Not as Bad as You Think

Cited by 6 publications

References 22 publications

Must‐access prescription drug monitoring programs and retail opioid sales

Must‐access prescription drug monitoring programs and retail opioid sales

Partial Identification of Expectations with Interval Data

Longevity Heterogeneity in the Twenty-First Century

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