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Record W3035588176 · doi:10.3386/w27103

Do Youth Employment Programs Work? Evidence from the New Deal

2020· report· en· W3035588176 on OpenAlex
Anna Aizer, Shari Eli, Adriana Lleras‐Muney, Keyoung Lee

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNational Bureau of Economic Research · 2020
Typereport
Languageen
FieldEconomics, Econometrics and Finance
TopicDefense, Military, and Policy Studies
Canadian institutionsUniversity of Toronto
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentAustralian GovernmentCalifornia Center for Population Research, University of California, Los AngelesNational Institute of Child Health and Human DevelopmentU.S. Social Security AdministrationNational Science Foundation
KeywordsWork (physics)Labour economicsDemographic economicsPsychologyComputer scienceMathematics educationEconomicsEngineering

Abstract

fetched live from OpenAlex

We study the Civilian Conservation Corps (CCC) -the first and largest youth training program in the U.S. in operation between 1933 and 1942 -to provide the first comprehensive assessment of the short-and long-term effects of means-tested youth employment programs. We use digitized enrollee records from the CCC program in Colorado and New Mexico and matched these records to the 1940 Census, WWII enlistment records, Social Security Administration records, and death certificates. We find that enrollees who spent more time in CCC training grew taller, lived longer lives and had higher lifetime earnings as a result of their participation in the program. We also find modest increases in the educational attainment of the participants and increases in short term geographic mobility. In contrast, we find no evidence that their labor force participation or wages increased in the short run. To assess the internal and external validity of the results, we compare our estimates to those derived from a randomized evaluation of Job Corps, the modern version of the CCC, conducted in the 1990s. The RCT's results show that our empirical strategy delivers estimates that are in line with the experimental estimates. Overall, we find significant long-term benefits in both longevity and earnings, suggesting short and medium-term evaluations underestimate the returns of training programs, as do those that fail to consider effects on longevity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.933
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.674
GPT teacher head0.495
Teacher spread0.179 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it