The causal approach to measurement error in panel analysis : some further contingencies. [TR 48]
Year: 2025
Type: article
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. The authors published this TR (1974). [Abstract by Murray Webster, 2014.] Published in Hubert M. Blalock (ed.), Measurement in the Social Sciences. Chicago: Aldine, 1974.
Source: Stanford Digital Repository
DOI: 10.25740/qk885mb4649
Authors: Hannan, Michael T., Rubinson, Richard, Warren, Jean Tuttle, Stanford University, Department of Sociology, Laboratory for Social Research
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6908187969
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