DC Field | Value | Language |
---|---|---|
dc.contributor.author | 서진교 | - |
dc.date.accessioned | 2018-11-15T08:39:08Z | - |
dc.date.available | 2018-11-15T08:39:08Z | - |
dc.date.issued | 2001-06 | - |
dc.identifier.other | RE24-2-06 | - |
dc.identifier.uri | http://repository.krei.re.kr/handle/2018.oak/17184 | - |
dc.description.tableofcontents | 1. 머리말 2. 패널자료모델의 구분 3. 고정효과모델(Fixed Effect Model) 4. 임의효과모델(Random Effect Model) 5. 우도추정(Maximum Likelihood Estimation) 6. 결 론 | - |
dc.description.tableofcontents | Recently, empirical research in economics has been enriched by the availability of a wealth of new sources of data; cross sections of individuals observed over time. These allow us to construct and test more realistic behavioral models that could not be identified using only a cross section or a single time series data set. Several estimation techniques for panel data analysis as well as conceptual explanation for several models - fixed and random effect models - are introduced, even the arguments is focused on the linear case. | - |
dc.publisher | KREI | - |
dc.title | 패널자료 분석방법 | - |
dc.title.alternative | Introduction of Panel Data Analysis | - |
dc.type | KREI 논문 | - |
dc.contributor.alternativeName | Suh, Jinkyo | - |
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