DC Field Value Language
dc.contributor.author서진교-
dc.date.accessioned2018-11-15T08:39:08Z-
dc.date.available2018-11-15T08:39:08Z-
dc.date.issued2001-06-
dc.identifier.otherRE24-2-06-
dc.identifier.urihttp://repository.krei.re.kr/handle/2018.oak/17184-
dc.description.tableofcontents1. 머리말2. 패널자료모델의 구분3. 고정효과모델(Fixed Effect Model)4. 임의효과모델(Random Effect Model)5. 우도추정(Maximum Likelihood Estimation)6. 결 론-
dc.description.tableofcontentsRecently, empirical research in economics has been enriched by theavailability of a wealth of new sources of data; cross sections of individualsobserved over time.These allow us to construct and test more realistic behavioral models thatcould not be identified using only a cross section or a single time series dataset.Several estimation techniques for panel data analysis as well as conceptualexplanation for several models - fixed and random effect models - areintroduced, even the arguments is focused on the linearcase.-
dc.publisherKREI-
dc.title패널자료 분석방법-
dc.title.alternativeIntroduction of Panel Data Analysis-
dc.typeKREI 논문-
dc.contributor.alternativeNameSuh, Jinkyo-
Appears in Collections:
학술지 논문 > 농촌경제 / JRD
Files in This Item:
패널자료 분석방법.pdf (380.24 kB) Download

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.