Time preference, illness, and death

Norrgren, PhD Lisa

doi:10.1016/j.jhealeco.2022.102692

Cited by 5 publications

(8 citation statements)

References 37 publications

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“…Looking at cognitive ability and time preferences, Golsteyn et al. (2014) and Norrgren (2022) also find that these variables are predictors of early mortality in the SBC. Yet, Table 3 does not show much evidence that adding them to the regressions would greatly alter the relationship between attained education and death by age 65 20 .…”

Section: Resultsmentioning

confidence: 95%

“…(2014) find that it can help predict the adolescents' future economic status and education. In addition, Norrgren (2022) finds that it predicts long‐run health outcomes, such as early mortality and the number of lifetime hospitalizations.…”

Section: Datamentioning

confidence: 99%

“…Table 2 shows the distribution of adolescents' answers in the SBC. Golsteyn et al (2014) and Norrgren (2022) use a binary version of this variable when working with the SBC, categorizing individuals who probably or certainly would choose SEK 1000 in 5 years as patient. This binary version is the preferred measure, also in the present paper, but the 5-step version is used in robustness regressions.…”

Section: Time Preferencesmentioning

confidence: 99%

“…Most of the adolescents (78%) in the sample can be thought of as patient using the binary definition (see Table 1), and combining the binary time preference measure with register data, Golsteyn et al (2014) find that it can help predict the adolescents' future economic status and education. In addition, Norrgren (2022) finds that it predicts long-run health outcomes, such as early mortality and the number of lifetime hospitalizations.…”

Section: Time Preferencesmentioning

confidence: 99%

“…1 Selection could be one potential explanation for the differences between correlation and causal results, and Grossman (2015) lists time preference and cognitive abilities as potential “hard‐to‐measure variables” that could affect both individuals' selection into education and future health outcomes. Time preferences, for example, serve as a predictor of both future educational attainment (Golsteyn et al., 2014) and early mortality (Norrgren, 2022). If patient individuals are more likely to educate themselves and invest in their health, then omitted variables like time preferences could be suspected to explain why correlational and causal papers differ on the relationship between education and health.…”

Section: Introductionmentioning

confidence: 99%

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The highly educated live longer: The role of time preference, cognitive ability, and educational plans

Norrgren

2023

Health Economics

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Using Swedish data on a cohort born in 1953, interviewed in 1966 (age 13), and followed with register data until 2018 (age 65), this study shows that one more year of schooling predicts a 17% lower risk of early mortality. Addressing concerns of potential selection bias, the mortality inequality by educational attainment persists when extensive controls are included in the regression. Adding information on background health, gender, socioeconomic variables, as well as adolescents' early educational plans, cognitive ability, and time preferences, only result in a 2‐percentage point change in the mortality risk by years of education. Even when adolescents' applications to upper‐secondary school and years 6 and 9 grades are controlled for, completion of upper‐secondary and university education remain strong predictors of future health. Yet, the study also finds that the measure of future health matters for the stability of the results.

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Section: Resultsmentioning

confidence: 95%

Section: Datamentioning

confidence: 99%

Section: Time Preferencesmentioning

confidence: 99%

Section: Time Preferencesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The highly educated live longer: The role of time preference, cognitive ability, and educational plans

Norrgren

2023

Health Economics

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Can mothers' time preferences predict their children's educational outcomes?

Jeppsson,

Norrgren

2024

Scandinavian J Economics

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This paper studies parents' time preferences and adolescents' future educational outcomes. We combine time preference data on adolescents and mothers, measured in 1966 and 1968, with register data on education and labor outcomes up to 2015. Results show that children of patient mothers have higher grades, are more likely to be enrolled in academic elementary school tracks, and are more likely to attain post‐secondary education. However, the mother's time preferences are not significantly associated with the adolescent's choice of upper secondary school program or completion. The unique Swedish data also allow us to shed some light on potential mechanisms.

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The heritability of economic preferences

Kettlewell,

Tymula,

Yoo

2023

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Any opinions expressed in this paper are those of the author(s) and not those of IZA. Research published in this series may include views on policy, but IZA takes no institutional policy positions. The IZA research network is committed to the IZA Guiding Principles of Research Integrity. The IZA Institute of Labor Economics is an independent economic research institute that conducts research in labor economics and offers evidence-based policy advice on labor market issues. Supported by the Deutsche Post Foundation, IZA runs the world's largest network of economists, whose research aims to provide answers to the global labor market challenges of our time. Our key objective is to build bridges between academic research, policymakers and society. IZA Discussion Papers often represent preliminary work and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be available directly from the author.

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Time preference, illness, and death

Cited by 5 publications

References 37 publications

The highly educated live longer: The role of time preference, cognitive ability, and educational plans

The highly educated live longer: The role of time preference, cognitive ability, and educational plans

Can mothers' time preferences predict their children's educational outcomes?

The heritability of economic preferences

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