What Quantile Regression Does and Doesn't Do: A Commentary on Petscher and Logan (2014)

Wenz, Sebastian E.

[journal article]

dc.contributor.author	Wenz, Sebastian E.	de
dc.date.accessioned	2020-11-17T15:38:01Z
dc.date.available	2020-11-17T15:38:01Z
dc.date.issued	2019	de
dc.identifier.issn	1467-8624	de
dc.identifier.uri	https://www.ssoar.info/ssoar/handle/document/70591
dc.description.abstract	Petscher and Logan's (2014) description of quantile regression (QR) might mislead readers to believe it would estimate the relation between an outcome, y, and one or more predictors, x, at different quantiles of the unconditional distribution of y. However, QR models the conditional quantile function of y given x just as linear regression models the conditional mean function. This article's contribution is twofold: First, it discusses potential consequences of methodological misconceptions and formulations of Petscher and Logan's (2014) presentation by contrasting features of QR and linear regression. Second, it reinforces the importance of correct understanding of QR in empirical research by illustrating similarities and differences in various QR estimators and linear regression using simulated data.	de
dc.language	en	de
dc.subject.ddc	Sozialwissenschaften, Soziologie	de
dc.subject.ddc	Social sciences, sociology, anthropology	en
dc.title	What Quantile Regression Does and Doesn't Do: A Commentary on Petscher and Logan (2014)	de
dc.description.review	begutachtet (peer reviewed)	de
dc.description.review	peer reviewed	en
dc.source.journal	Child development
dc.source.volume	90	de
dc.publisher.country	USA
dc.source.issue	4	de
dc.subject.classoz	Erhebungstechniken und Analysetechniken der Sozialwissenschaften	de
dc.subject.classoz	Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods	en
dc.subject.thesoz	Regression	de
dc.subject.thesoz	regression	en
dc.subject.thesoz	Schätzung	de
dc.subject.thesoz	estimation	en
dc.subject.thesoz	lineares Modell	de
dc.subject.thesoz	linear model	en
dc.subject.thesoz	Simulation	de
dc.subject.thesoz	simulation	en
dc.identifier.urn	urn:nbn:de:0168-ssoar-70591-0
dc.rights.licence	Deposit Licence - Keine Weiterverbreitung, keine Bearbeitung	de
dc.rights.licence	Deposit Licence - No Redistribution, No Modifications	en
ssoar.contributor.institution	GESIS	de
internal.status	formal und inhaltlich fertig erschlossen	de
internal.identifier.thesoz	10056459
internal.identifier.thesoz	10057146
internal.identifier.thesoz	10051231
internal.identifier.thesoz	10037865
dc.type.stock	article	de
dc.type.document	Zeitschriftenartikel	de
dc.type.document	journal article	en
dc.source.pageinfo	1442-1452	de
internal.identifier.classoz	10105
internal.identifier.journal	1874
internal.identifier.document	32
internal.identifier.ddc	300
dc.identifier.doi	https://doi.org/10.1111/cdev.13141	de
dc.description.pubstatus	Postprint	de
dc.description.pubstatus	Postprint	en
internal.identifier.licence	3
internal.identifier.pubstatus	2
internal.identifier.review	1
ssoar.wgl.collection	true	de
internal.pdf.wellformed	true
internal.pdf.encrypted	false

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Erhebungstechniken und Analysetechniken der Sozialwissenschaften
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods

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