Evidence map›Paper›PMID 26304845›Full record

ArticleDemography2015

Africans in the American Labor Market.

Irma T Elo, Elizabeth Frankenberg, Romeo Gansey, Duncan Thomas

Open access · bronzeAbstract read
In one paragraph

Article in Demography, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
8.6field-weighted citation impact, top 3% of its field
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

8 citing papers in PubMed, 21 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Irma T EloPopulation Studies Center, University of Pennsylvania, 3718 Locust Walk, Philadelphia, PA, 19104, USA. popelo@pop.upenn.edu.
Elizabeth FrankenbergSanford School of Public Policy, Duke University, Durham, NC, USA.
Romeo GanseyPopulation Studies Center, University of Pennsylvania, 3718 Locust Walk, Philadelphia, PA, 19104, USA.
Duncan ThomasEconomics Department, Duke University and NBER, Durham, NC, USA.
Duke University · USUniversity City Science Center · USUniversity of Pennsylvania · US

Funding

STATISTICAL DATA ENCLAVE COREP30AG012836 · NIA · UNIVERSITY OF PENNSYLVANIA · PI KOHLER, HANS-PETER · 1999 to 2024
$14.0M
Population Science Research Center Development CoreR24HD044964 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI SMITH, HERBERT L. · 2003 to 2017
$9.8M
Sci-Tech Core-Population Dynamics Research CenterP2CHD044964 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI Xi Song · 2018 to 2026
$5.3M
NIA NIH HHS P30 AG012836NIA NIH HHS P30AG012836NICHD NIH HHS P2C HD044964NICHD NIH HHS R24 HD-044964NICHD NIH HHS R24 HD044964
6 · The paper itself

Abstract

The number of migrants to the United States from Africa has grown exponentially since the 1930s. For the first time in America's history, migrants born in Africa are growing at a faster rate than migrants from any other continent. The composition of African-origin migrants has also changed dramatically: in the mid-twentieth century, the majority were white and came from only three countries; but today, about one-fifth are white, and African-origin migrants hail from across the entire continent. Little is known about the implications of these changes for their labor market outcomes in the United States. Using the 2000-2011 waves of the American Community Survey, we present a picture of enormous heterogeneity in labor market participation, sectoral choice, and hourly earnings of male and female migrants by country of birth, race, age at arrival in the United States, and human capital. For example, controlling a rich set of human capital and demographic characteristics, some migrants-such as those from South Africa/Zimbabwe and Cape Verde, who typically enter on employment visas-earn substantial premiums relative to other African-origin migrants. These premiums are especially large among males who arrived after age 18. In contrast, other migrants-such as those from Sudan/Somalia, who arrived more recently, mostly as refugees-earn substantially less than migrants from other African countries. Understanding the mechanisms generating the heterogeneity in these outcomes-including levels of socioeconomic development, language, culture, and quality of education in countries of origin, as well as selectivity of those who migrate-figures prominently among important unresolved research questions.

Indexed as

AdultAge FactorsBlack or African AmericanBlack PeopleCultureEmigrants and ImmigrantsEmploymentFemaleHumansMaleMiddle AgedPolicyPopulation DynamicsSalaries and Fringe BenefitsSex FactorsSocioeconomic FactorsAfricaEarningsImmigrationMigrationWork

Identifiers

PMID26304845
PMCPMC4607652
OpenAlexW1557638545

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.