Arbeitspapier

Using nonexperimental methods to address noncompliance

The analysis compares estimates of the incremental impact for those who receive HPOG with a program enhancement to the standard HPOG program. The experimental benchmark for the incremental impact comes from two-stage least squares with random assignment as an instrumental variable for enhancement take-up. Then, ignoring the randomly assigned conditions, the analysis estimates the counterfactual for those who "take up" the enhancement using ordinary least squares and inverse propensity weighting. The analysis also tests whether adding information that is only available due to the experiment-who complied with their randomization status and who did not-improves the nonexperimental estimates. The analysis compares these estimates using statistical tests recommended by the within-study comparison literature.

Sprache
Englisch

Erschienen in
Series: Upjohn Institute Working Paper ; No. 20-324

Klassifikation
Wirtschaft
Multiple or Simultaneous Equation Models: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
Human Capital; Skills; Occupational Choice; Labor Productivity
Thema
Treatment effects
Experimental methods
Nonexperimental methods
Within-study comparison

Ereignis
Geistige Schöpfung
(wer)
Litwok, Daniel
Ereignis
Veröffentlichung
(wer)
W.E. Upjohn Institute for Employment Research
(wo)
Kalamazoo, MI
(wann)
2020

DOI
doi:10.17848/wp20-324
Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Litwok, Daniel
  • W.E. Upjohn Institute for Employment Research

Entstanden

  • 2020

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