Semiparametric methods for the measurement of latent attitudes and the estimation of their behavioural consequences
Richard Spady
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Richard Spady: Institute for Fiscal Studies and Johns Hopkins
No CWP26/07, CeMMAP working papers from Centre for Microdata Methods and Practice, Institute for Fiscal Studies
Abstract:
We model attitudes as latent variables that induce stochastic dominance relations in (item) responses. Observable characteristics that affect attitudes can be incorporated into the analysis to improve the measurement of the attitudes; the measurements are posterior distributions that condition on the responses and characteristics of each respondent. Methods to use these measurements to characterize the relation between attitudes and behaviour are developed and implemented.
Date: 2007-11-22
New Economics Papers: this item is included in nep-ecm
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