Statistical Power in Nonrecursive Linear Models Author(s): William T. Bielby and Ross L. Matsueda Source: Sociological Methodology, Vol), ppPublished by: American Sociological Association Stable URL: - Bielby - Document - PDFSEARCH.IO

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	Statistical Power in Nonrecursive Linear Models Author(s): William T. Bielby and Ross L. Matsueda Source: Sociological Methodology, Vol), ppPublished by: American Sociological Association Stable URL: Add to Reading List Document Date: 2014-04-09 20:43:56 Open Document File Size: 1,77 MB Share Result on Facebook City Santa Barbara / Chicago / / Company A2A / Holly / / Currency SLL / / / Facility University of Wisconsin / / IndustryTerm information technology / cross-products / / OperatingSystem XP / / Organization Academic Senate of the Universityof California / Graduate School / University of Wisconsin / Madison / American Sociological Association / AmericanSociological Association / / Person William T. Bielby / NONRECURSIVE MODELS / / / Position Author / General / / ProvinceOrState Wisconsin / California / / Technology information technology / / URL http / SocialTag Economics Mathematics Simultaneous equation methods Statistical methods Instrumental variable Recurrence relation Differential equation Simultaneous equations Parameter identification problem Econometrics

Statistical Power in Nonrecursive Linear Models Author(s): William T. Bielby and Ross L. Matsueda Source: Sociological Methodology, Vol), ppPublished by: American Sociological Association Stable URL: Add to Reading List