Evidence map›Paper›PMID 34553043›Full record

ArticleSocius : sociological research for a dynamic world

Predicting Layoff among Fragile Families.

Caitlin E Ahearn, Jennie E Brand

Abstract read
In one paragraph

Article in Socius : sociological research for a dynamic world. 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. Introduction to the Special Collection on the Fragile Families Challenge.Socius : sociological research for a dynamic world
    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

2 authors.

Caitlin E AhearnUniversity of California-Los Angeles, Los Angeles, CA, USA.
Jennie E BrandUniversity of California-Los Angeles, Los Angeles, CA, USA.

Funding

Fragile Families and the Transition to AdulthoodR01HD036916 · NICHD · PRINCETON UNIVERSITY · PI Kathryn Edin, Jane Waldfogel · 1999 to 2026
$46.3M
Statistics and Methods CoreR24HD041022 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BUCHINSKY, MOSHE · 2001 to 2016
$10.1M
Scientific and Technical CoreP2CHD041022 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HIRAM BELTRAN-SANCHEZ · 2016 to 2026
$6.9M
CALIFORNIA CENTER FOR POPULATION TRAINING PROGRAMT32HD007545 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HIRAM BELTRAN-SANCHEZ, Megan M Sweeney · 2001 to 2026
$4.1M
ECONOMIC STATUS, PUBLIC POLICY, AND CHILD NEGLECTR01HD039135 · NICHD · PRINCETON UNIVERSITY · PI PAXSON, CHRISTINA H · 2000 to 2004
$3.1M
Child Care and Parental Employment in Fragile FamiliesR01HD040421 · NICHD · COLUMBIA UNIVERSITY TEACHERS COLLEGE · PI BROOKS-GUNN, JEANNE · 2002 to 2006
$2.8M
NICHD NIH HHS P2C HD041022NICHD NIH HHS R01 HD036916NICHD NIH HHS R01 HD039135NICHD NIH HHS R01 HD040421NICHD NIH HHS R24 HD041022NICHD NIH HHS T32 HD007545
6 · The paper itself

Abstract

The loss of a job is the loss of a major social and economic role and is associated with long-term negative economic and psychological consequences for workers and families. Modeling the causal effects of a social process like layoff with observational data depends crucially on the degree to which the model accounts for the characteristics that predict loss. We report analyses predicting layoff in the Fragile Families data as part of the Fragile Families Challenge. Our model, grounded in empirical social science research on layoff, did not perform substantially worse than the best-performing model using data science techniques. This result is not fully unforeseen, given that layoff functions as a relatively exogenous shock. Future work using the results of the Challenge should attend to whether small improvements in prediction models, like those we observe across models of layoff, nevertheless significantly increase the validity of subsequent models for causal inference.

Indexed as

disadvantaged mothersFragile Families Challengejob losspropensity scores

Identifiers

PMID34553043
PMCPMC8455106

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.