The Causal Approach to Measurement Error in Panel Analysis: Some Further Contingencies

dc.creator	Hannan, Michael T
dc.creator	Rubinson, Richard
dc.creator	Warren, Jean Tuttle
dc.date.accessioned	2015-08-13T02:36:33Z
dc.date.available	2015-08-13T02:36:33Z
dc.date.issued	2015-08-12
dc.identifier.uri	https://hdl.handle.net/1969.1/154780
dc.description.abstract	The 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.iso	en_US
dc.relation.ispartofseries	Technical Report Stanford Sociology;#48
dc.rights	Attribution 3.0 United States	en
dc.rights.uri	http://creativecommons.org/licenses/by/3.0/us/
dc.subject	causality	en
dc.subject	panel design	en
dc.title	The Causal Approach to Measurement Error in Panel Analysis: Some Further Contingencies	en
dc.type	Technical Report	en
local.department	Sociology	en

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