Evidence map›Paper›PMID 30555169›Full record

ArticleAmerican sociological review2018

Immigrants' Economic Assimilation: Evidence from Longitudinal Earnings Records.

Andrés Villarreal, Christopher R Tamborini

Abstract read
In one paragraph

Article in American sociological review, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  5. Article
  6. First- and Second-Generation Women's Economic Assimilation: An Analysis of Longitudinal Earnings Records.Social forces; a scientific medium of social study and interpretation · 2024
    Article
  7. Article
  8. Article
  9. Hispanic Men's Earnings Mobility Across Immigrant Generations: Estimates Using Tax Records.Social forces; a scientific medium of social study and interpretation · 2024
    Article
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  12. Article
  13. Review
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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

2 authors.

Andrés VillarrealUniversity of Maryland-College Park.
Christopher R TamboriniOffice of Retirement Policy, US Social Security Administration.

Funding

Sci-Tech Core-Maryland Population Research CenterP2CHD041041 · NICHD · UNIV OF MARYLAND, COLLEGE PARK · PI Susan W Parker · 2018 to 2026
$3.9M
Immigrant AssimilationR03HD091424 · NICHD · UNIV OF MARYLAND, COLLEGE PARK · PI VILLARREAL, ANDRES · 2017 to 2018
$152k
NICHD NIH HHS P2C HD041041NICHD NIH HHS R03 HD091424
6 · The paper itself

Abstract

We examine immigrants' earnings trajectories, and measure both the extent and speed with which they are able to reduce the earnings gap with natives, using a unique dataset that links respondents of the Survey of Income and Program Participation (SIPP) to their longitudinal earnings obtained from individual tax records. Our analysis addresses key debates regarding ethnoracial and cohort differences in immigrants' earnings trajectories. First, we find a racially-differentiated pattern of earnings assimilation whereby black and Hispanic immigrants are less able to catch up with native whites' earnings compared to white and Asian immigrants, but are able to almost reach earnings parity with natives of their same race and ethnicity. Second, we find no evidence of a declining "quality" of immigrant cohorts even after controlling for their ethnoracial composition and human capital. Immigrants arriving since 1994 actually experience similar or slightly higher earnings growth compared to immigrants from earlier eras. We identify a pattern of accelerated assimilation in which more educated immigrants experience much of their earnings growth during the first years after arriving.

Identifiers

PMID30555169
PMCPMC6290669

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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.