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.

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Paper provided by Centre for Microdata Methods and Practice, Institute for Fiscal Studies in its series CeMMAP working papers with number CWP26/07.

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Date of creation: Nov 2007
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Handle: RePEc:ifs:cemmap:26/07

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This paper has been announced in the following NEP Reports:

• NEP-ALL-2007-11-24 (All new papers)
• NEP-ECM-2007-11-24 (Econometrics)

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