Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen:
https://hdl.handle.net/10419/62977
Kompletter Metadatensatz
DublinCore-Feld | Wert | Sprache |
---|---|---|
dc.contributor.author | Biørn, Erik | en |
dc.date.accessioned | 2012-09-20T13:10:59Z | - |
dc.date.available | 2012-09-20T13:10:59Z | - |
dc.date.issued | 1999 | - |
dc.identifier.uri | http://hdl.handle.net/10419/62977 | - |
dc.description.abstract | We consider a framework for analyzing panel data characterized by: (i) a system of regressions equations, (ii) random individual heterogeneity in both intercepts and slope coefficients, and (iii) unbalanced panel data, i.e., panel data where the individual time series have unequal length. A Maximum Likelihood (ML) procedure for joint estimation of all parameters is described. Since it is complicated to implement in numerical calculations, we consider simplified procedures, in particular for estimating the covariance matrices of the random coefficients. An algorithm for modified ML estimation of all parameters is presented. | en |
dc.language.iso | eng | en |
dc.publisher | |aUniversity of Oslo, Department of Economics |cOslo | en |
dc.relation.ispartofseries | |aMemorandum |x1999,27 | en |
dc.subject.jel | C13 | en |
dc.subject.jel | C23 | en |
dc.subject.jel | C33 | en |
dc.subject.ddc | 330 | en |
dc.subject.keyword | Panel Data | en |
dc.subject.keyword | Unbalanced Panels | en |
dc.subject.keyword | Random Coefficients | en |
dc.subject.keyword | Heterogeneity | en |
dc.subject.keyword | Regression Equation Systems | en |
dc.subject.keyword | Maximum Likelihood | en |
dc.subject.stw | Regression | en |
dc.subject.stw | Panel | en |
dc.subject.stw | Theorie | en |
dc.subject.stw | Zufallsvariable | en |
dc.title | Random coefficients in regression equation systems: The case with unbalanced panel data | - |
dc.type | Working Paper | en |
dc.identifier.ppn | 323424570 | en |
dc.rights | http://www.econstor.eu/dspace/Nutzungsbedingungen | en |
Datei(en):
Publikationen in EconStor sind urheberrechtlich geschützt.