Decomposing the effects of time on the social acceptability of biotechnology using age-period-cohort-country models

Authors
Rousselière Damien and Rousselière Samira
Year
2017
Journal
Public Understanding of Science, 26(6), 650-670
DOI
10.1177/0963662515622394
Abstract

The study of European attitudes toward biotechnologies underlines a situation that is relatively contrasting in Europe. However, as different effects of time can influence the social attitudes (a life-cycle effect, a generational effect, and an exogenous temporal effect potentially affecting the entire population), an appropriate methodology should be used. To this end, age-period-cohort-country models have thus been estimated based on Eurobarometer data from 1991 onward. Applied to different data subsets, these models give similar results underlining the importance of the life-cycle effects as well as the heterogeneity of the link between political affiliation and biotechnologies attitudes across the European countries.

Number of levels
4
Software used
Model data structure
Response types
Multivariate response model?
No
Longitudinal data?
No
Further model keywords
Substantive discipline
Substantive keywords
Impact

Please write about the impact - see the examples above

Paper submitted by
Damien Rousselière, Economics, Management and Society, AGROCAMPUS OUEST, damien.rousseliere@agrocampus-ouest.fr
Edit this page