Cited by 1,023Labor market dynamics and wage inequalityAdvanced Causal Inference TechniquesHuman Resource Development and Performance Evaluation

Using the Longitudinal Structure of Earnings to Estimate the Effect of Training Programs

Open access
Ashenfelter, Orley, Card, David·1985·The Review of Economics and Statistics

Abstract

Orley Ashenfelter, David Card, Using the Longitudinal Structure of Earnings to Estimate the Effect of Training Programs, The Review of Economics and Statistics, Vol. 67, No. 4 (Nov., 1985), pp. 648-660

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2307/1924810

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Omitting the 12 months on either side of treatment to avoid the Ashenfelter dip would assume the pre-treatment changes are caused by transitory shocks rather than a trend break.

    “While one could omit the 12 months on either side of treatment in an attempt to avoid the Ashenfelter dip, this would assume the pre-treatment changes are caused by transitory shocks rather than a trend break (see the discussion in Ashenfelter and Card, 1985).”

    From Incarceration, Recidivism, and Employment (2020) · cites this paper as Ashenfelter and Card, 1985

    The paper’s Section C models pre-training earnings differences as both transitory and trend-related, and its discussion of symmetric difference-in-differences estimators says their choice requires maintained assumptions. It does not discuss omitting exactly 12 months on either side of treatment; it also finds that transitory earnings shocks can persist for years. The citation supports the concern about assuming a transitory dip rather than a trend change, but not the specific 12-month rule. (LLM, conf=0.85)

    Experimental — accuracy not yet measured
  • The first papers that mention difference-in-differences estimators in the data are Ashenfelter and Card (1985) and Card and Sullivan (1988), which appeared as NBER working papers in 1984 and 1987, respectively.

    “The first papers that mention difference-in-differences estimators in our data are Ashenfelter and Card (1985) and Card and Sullivan (1988), which appeared as NBER working papers in 1984 and 1987, respectively.”

    From Technology and Big Data Are Changing Economics: Mining Text to Track Methods (2020) · cites this paper as Ashenfelter and Card (1985)

    The paper discusses and estimates difference-in-differences effects (passages labeled Abstract; page unavailable), supporting its identification as a paper that mentions the estimator. Our copy does not establish that these were the first papers in the citing authors’ data, identify Card and Sullivan (1988), or verify the stated NBER working-paper dates. (LLM, conf=0.82)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

No references could be resolved yet.

Research works printed but not linked: 6

  1. Ashenfelter, Orley. "The Effect of Manpower Training on Earnings: Preliminary Results," in Proceedings of the Twenty-Seventh Annual Winter Meeting of the Industrial Relations Research Association, 1975, pp. 252-260.
  2. Ashenfelter, Orley. "Estimating the Effects of Training Programs on Earnings," Review of Economics and Statistics, February 1978, pp. 47-57.
  3. Bassi, Laurie J. "The Effect of CETA on the Postprogram Earnings of Participants," Journal of Human Resources, Fall 1983, pp. 539-556.
  4. Bassi, Laurie J. "Estimating the Effect of Training Programs with Non-Random Selection," Review of Economics and Statistics, February 1984, pp. 36-43.
  5. Heckman, James J. "The Longitudinal Analysis of Earnings." Unpublished manuscript presented at SSRC Conference on Longitudinal Studies of the Labor Market, October 1978.
  6. Kiefer, Nicholas M. 'The Economic Benefits from Four Government Training Programs," in Farrell E, Bloch (ed.), atm Manpower friin Greenwich,Connecticut: JAI Press, 1979, pp. 159-187.

Cited by

Sorted by citations

Authors
Ashenfelter, O., & Card, D.
Affiliations
National Bureau of Economic Research (US)
Venue
The Review of Economics and Statistics
Publisher
JSTOR
Published
1985-11
Volume
67
Issue
4
Pages
648
ISSN
0034-6535 (ISSN-L)
OpenAlex
W2171040166
Cited by
1,023
References
0
Citations by year
2026: 29 · 2025: 51 · 2024: 44 · 2023: 49 · 2022: 56 · 2021: 67 · 2020: 90 · 2019: 60 · 2018: 66 · 2017: 54 · 2016: 45 · 2015: 42 · 2014: 33 · 2013: 45 · 2012: 28
FWCI
14.35
Type
journal article
Language
en
Open access
Locations
  • The Review of Economics and Statistics (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Labor market dynamics and wage inequality
  • Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
  • Social Sciences › Psychology › Applied Psychology › Human Resource Development and Performance Evaluation
Keywords
training program, earnings, returns to training, program evaluation

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review