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Quantile regression estimands and models: revisiting the motherhood wage penalty debate
- Source :
- European Sociological Review, 39 (2), 317–331
- Publication Year :
- 2022
- Publisher :
- Oxford University Press (OUP), 2022.
-
Abstract
- This paper discusses the crucial but sometimes neglected differences between unconditional quantile regression (UQR) models and quantile treatment effects (QTE) models. We argue that there is a frequent mismatch between the aim of the quantile regression analysis and the quantitative toolkit used in much of the applied literature, including the motherhood wage penalty literature. This mismatch may result in wrong conclusions being drawn from the data, and in the end, misguided theories. In this paper, we clarify the crucial conceptual distinction between influences on quantiles of the overall distributions, which we term population-level influences, and individual-level QTEs. Further, we use data simulations to illustrate that various classes of quantile regression models may, in some instances, give entirely different conclusions (to different questions). Finally, we compare quantile regression estimates using real data examples, showing that UQR and QTE models differ sometimes but not always. Still, the conceptual and empirical distinctions between quantile regression models underline the need to match the correct model to the specific research questions. We conclude the paper with a few practical guidelines for researchers.
- Subjects :
- bepress|Social and Behavioral Sciences|Sociology
SocArXiv|Social and Behavioral Sciences|Sociology
SocArXiv|Social and Behavioral Sciences|Sociology|Race, Gender, and Class
bepress|Social and Behavioral Sciences|Sociology|Quantitative, Qualitative, Comparative, and Historical Methodologies
Sociology and Political Science
SocArXiv|Social and Behavioral Sciences|Sociology|Mathematical Sociology
SocArXiv|Social and Behavioral Sciences|Sociology|Inequality, Poverty, and Mobility
SocArXiv|Social and Behavioral Sciences|Sociology|Methodology
bepress|Social and Behavioral Sciences
ddc:300
SocArXiv|Social and Behavioral Sciences
bepress|Social and Behavioral Sciences|Sociology|Inequality and Stratification
Social sciences
Subjects
Details
- ISSN :
- 14682672 and 02667215
- Volume :
- 39
- Database :
- OpenAIRE
- Journal :
- European Sociological Review
- Accession number :
- edsair.doi.dedup.....4dac82a7ffb9deaa9a7ac1f0446557f7