Artikel

Compulsory schooling and returns to education: A re-examination

This paper re-examines the instrumental variable (IV) approach to estimating returns to education by use of compulsory school law (CSL) in the US. We show that the IV-approach amounts to a change in model specification by changing the causal status of the variable of interest. From this perspective, the IV-OLS (ordinary least square) choice becomes a model selection issue between non-nested models and is hence testable using cross validation methods. It also enables us to unravel several logic flaws in the conceptualisation of IV-based models. Using the causal chain model specification approach, we overcome these flaws by carefully distinguishing returns to education from the treatment effect of CSL. We find relatively robust estimates for the first effect, while estimates for the second effect are hindered by measurement errors in the CSL indicators. We find reassurance of our approach from fundamental theories in statistical learning.

Sprache
Englisch

Erschienen in
Journal: Econometrics ; ISSN: 2225-1146 ; Volume: 7 ; Year: 2019 ; Issue: 3 ; Pages: 1-20 ; Basel: MDPI

Klassifikation
Wirtschaft
Single Equation Models: Single Variables: Instrumental Variables (IV) Estimation
Model Evaluation, Validation, and Selection
Analysis of Education
Returns to Education
Human Capital; Skills; Occupational Choice; Labor Productivity
Thema
average return to education
instrumental variables
randomisation
research design

Ereignis
Geistige Schöpfung
(wer)
Van Huellen, Sophie
Qin, Duo
Ereignis
Veröffentlichung
(wer)
MDPI
(wo)
Basel
(wann)
2019

DOI
doi:10.3390/econometrics7030036
Handle
Letzte Aktualisierung
10.03.2025, 11:41 MEZ

Datenpartner

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

Objekttyp

  • Artikel

Beteiligte

  • Van Huellen, Sophie
  • Qin, Duo
  • MDPI

Entstanden

  • 2019

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