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,...

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Main Authors: Sophie van Huellen, Duo Qin
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Econometrics
Subjects:
Online Access:https://www.mdpi.com/2225-1146/7/3/36
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author Sophie van Huellen
Duo Qin
author_facet Sophie van Huellen
Duo Qin
author_sort Sophie van Huellen
collection DOAJ
description 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.
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spelling doaj.art-d529c8866cac4fd599b7c266d9c393a62022-12-22T02:54:46ZengMDPI AGEconometrics2225-11462019-09-01733610.3390/econometrics7030036econometrics7030036Compulsory Schooling and Returns to Education: A Re-ExaminationSophie van Huellen0Duo Qin1SOAS University of London, Thornhaugh Street, Russell Square, London WC1H 0XG, UKSOAS University of London, Thornhaugh Street, Russell Square, London WC1H 0XG, UKThis 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.https://www.mdpi.com/2225-1146/7/3/36instrumental variablesrandomisationresearch designaverage return to education
spellingShingle Sophie van Huellen
Duo Qin
Compulsory Schooling and Returns to Education: A Re-Examination
Econometrics
instrumental variables
randomisation
research design
average return to education
title Compulsory Schooling and Returns to Education: A Re-Examination
title_full Compulsory Schooling and Returns to Education: A Re-Examination
title_fullStr Compulsory Schooling and Returns to Education: A Re-Examination
title_full_unstemmed Compulsory Schooling and Returns to Education: A Re-Examination
title_short Compulsory Schooling and Returns to Education: A Re-Examination
title_sort compulsory schooling and returns to education a re examination
topic instrumental variables
randomisation
research design
average return to education
url https://www.mdpi.com/2225-1146/7/3/36
work_keys_str_mv AT sophievanhuellen compulsoryschoolingandreturnstoeducationareexamination
AT duoqin compulsoryschoolingandreturnstoeducationareexamination