Evidence map›Paper›PMID 37128245›Full record

ArticlePopulation research and policy review2023

The Impact of Health and Education on Labor Force Participation in Aging Societies: Projections for the United States and Germany from Dynamic Microsimulations.

René Böheim, Thomas Horvath, Thomas Leoni, Martin Spielauer

Abstract read
In one paragraph

Article in Population research and policy review, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. The Digitized Memory Clinic.Nature reviews. Neurology · 2024
    Review
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

René BöheimJohannes Kepler University Linz and Austrian Institute of Economic Research (WIFO), Keplergebäude 117A, Altenbergerstraße 69, 4040 Linz, Austria.ORCID 0000-0002-0271-8169
Thomas HorvathPresent Address: Austrian Institute of Economic Research (WIFO), Arsenal Objekt 20, 1030 Vienna, Austria.ORCID 0000-0002-6132-6229
Thomas LeoniUniversity of Applied Sciences Wiener Neustadt, City Campus, Schlögelgasse 22-26, 2700 Wiener Neustadt, Austria.ORCID 0000-0001-6300-5536
Martin SpielauerPresent Address: Austrian Institute of Economic Research (WIFO), Arsenal Objekt 20, 1030 Vienna, Austria.ORCID 0000-0003-3138-3721

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We project the labor force in the United States to 2060 and contrast the outcomes with comparative projections for Germany. In both countries, the population will age, but the demographic dynamics are fundamentally different. According to our dynamic microsimulations, the labor force in the U.S. will increase by 17 percent between 2020 and 2060 (about 29 million workers) despite population aging. In contrast, the labor force in Germany will decline by 11 percent (about 4.5 million workers). Our baseline projections indicate that an expansion of education will increase the labor force by about 3 million persons in the United States and about half a million persons in Germany by 2060. In several what-if scenarios, we examine the effects of further expanding education and of removing health barriers on labor force participation. Higher educational attainment among those with currently low education has the largest impact on labor force participation, relative to the additional years of schooling. However, health improvements and the labor market integration of people with health limitations suggest a larger increase in labor force participation rates. Using Sweden as a benchmark, we show that reducing the health participation gap would increase the U.S. labor force by as much as 13 million people in 2060 (+6.8 percent compared to our baseline).

Indexed as

Dynamic microsimulationEmployment projectionsHealthWhat-if-scenarios

Identifiers

PMID37128245
PMCPMC10132801

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.