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dc.creatorHannan, Michael T
dc.creatorRubinson, Richard
dc.creatorWarren, Jean Tuttle
dc.date.accessioned2015-08-13T02:36:33Z
dc.date.available2015-08-13T02:36:33Z
dc.date.issued2015-08-12
dc.identifier.urihttp://hdl.handle.net/1969.1/154780
dc.description.abstractThe authors describe and analyze some issues in understanding causality from panel designs. They focus on complications that arise when multivariate panel models are measured with either random or systematic errors. The analysis is illustrated with panel from the U.N. of education and economic data from 96 countries. They conclude that new statistics, to be developed or imported from other disciplines are needed to deal with measurement error in substantive panel data.en
dc.language.isoen_US
dc.relation.ispartofseriesTechnical Report Stanford Sociology;#48
dc.rightsAttribution 3.0 United Statesen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/
dc.subjectcausalityen
dc.subjectpanel designen
dc.titleThe Causal Approach to Measurement Error in Panel Analysis: Some Further Contingenciesen
dc.typeTechnical Reporten
local.departmentSociologyen


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Attribution 3.0 United States
Except where otherwise noted, this item's license is described as Attribution 3.0 United States