Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/22191 
Kompletter Metadatensatz
DublinCore-FeldWertSprache
dc.contributor.authorHorowitz, Joel L.en
dc.date.accessioned2009-01-29T14:54:15Z-
dc.date.available2009-01-29T14:54:15Z-
dc.date.issued2004-
dc.identifier.urihttp://hdl.handle.net/10419/22191-
dc.description.abstractMuch empirical research is concerned with estimating conditional mean, median, or hazard functions. For example, labor economists are interested in estimating the mean wages of employed individuals conditional on characteristics such as years of work experience and education. The most frequently used estimation methods assume that the function of interest is known up to a set of constant parameters that can be estimated from data. Models in which the only unknown quantities are a finite set of constant parameters are called parametric. The use of a parametric model greatly simplifies estimation, statistical inference, and interpretation of the estimation results but is rarely justified by theoretical or other a priori considerations. Estimation and inference based on convenient but incorrect assumptions about the form of the conditional mean function can be highly misleading.en
dc.language.isoengen
dc.publisher|aHumboldt-Universität zu Berlin, Center for Applied Statistics and Economics (CASE) |cBerlinen
dc.relation.ispartofseries|aPapers |x2004,17en
dc.subject.ddc330en
dc.titleSemiparametric models-
dc.typeWorking Paperen
dc.identifier.ppn495306592en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen
dc.identifier.repecRePEc:zbw:caseps:200417en

Datei(en):
Datei
Größe
523.21 kB





Publikationen in EconStor sind urheberrechtlich geschützt.