Evidence map›Paper›PMID 31178593›Full record

ArticleThe Annals of the American Academy of Political and Social Science2018

The PSID in Research and Policy.

Timothy M Smeeding

Abstract read
In one paragraph

Article in The Annals of the American Academy of Political and Social Science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

1 author.

Timothy M SmeedingThe Lee Rainwater Distinguished Professor of Public Affairs and Economics at the University of Wisconsin.

Funding

Statistical Data Enclave CoreP30AG017266 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Michal Engelman · 1999 to 2026
$17.0M
NIA NIH HHS P30 AG017266
6 · The paper itself

Abstract

The PSID has remained a valuable vehicle for evidence-based policy research for decades and should remain so for many more. In this short review, I cover major policy-related strengths from PSID research in the areas of event history analysis; mobility and volatility; cross national comparisons; health and health insurance; mobility into and out of poverty; the effects of parental income on children; and the use of the child development sample to broaden the PSID policy focus in new and interesting ways. I also include the emerging study of longer term intergenerational patterns of mobility and transfer, including across three generations. Finally, I take up the question of how PSID data and methods could be further improved to make the survey more valuable to public policy, focusing on administrative data linkages.

Indexed as

child developmentdata linkagesevent historymobilitypolicyvolatility

Identifiers

PMID31178593
PMCPMC6553644

What OpenQuestion holds

Textmetadata
LicenceTDM
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.