Evidence map›Paper›PMID 32275720›Full record

ArticlePloS one2020

What is creating the height premium? New evidence from a Mendelian randomization analysis in China.

Jun Wang, Qihui Chen, Gang Chen, Yingxiang Li, Guoshu Kong, Chen Zhu

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Jun WangSchool of Public Administration and Policy, Renmin University of China, Beijing, China.
Qihui ChenCollege of Economics and Management, China Agricultural University, Beijing, China.
Gang ChenWeGene, Shenzhen, China.
Yingxiang LiWeGene, Shenzhen, China.
Guoshu KongSchool of Public Administration and Policy, Renmin University of China, Beijing, China.
Chen ZhuCollege of Economics and Management, China Agricultural University, Beijing, China.ORCID 0000-0003-3582-9022

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study uses a Mendelian randomization approach to resolve the difficulties of identifying the causal relationship between height and earnings by using a unique sample of 3,427 respondents from mainland China with sociodemographic information linked to individual genotyping data. Exploiting genetic variations to create instrumental variables for observed height, we find that while OLS regressions yield that an additional centimeter in height is associated with a 10-13% increase in one's annual earnings, IV estimates reveal only an insubstantial causal effect of height. Further analyses suggest that the observed height premium is likely to pick up the impacts of several cognitive/noncognitive skills on earnings confounded in previous studies, such as mental health, risk preference, and personality factors. Our study is the first empirical study that employs genetic IVs in developing countries, and our results contribute to the recent debate on the mechanism of height premium.

Indexed as

IncomeBody HeightChinaFemaleHumansMaleMendelian Randomization Analysis

Identifiers

PMID32275720
PMCPMC7147798

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.