Literature DB >> 23347482

Interpersonal trust: An age-period-cohort analysis revisited.

April K Clark1, Marie A Eisenstein.   

Abstract

Building on the previous work of Robinson and Jackson(1), this study addresses the extent to which interpersonal trust in America is changing due to age, period, or cohort effects (APC). The importance of APC in explaining variations in trust stems from the understanding that the specific source of change can have important - albeit different and possibly, negative - consequences on society. Moreover, 3years after the previous study concluded, the country experienced the largest concerted terrorist attacks on US soil. Little is known about how the attacks affected the dynamics of interpersonal trust relative to the processes of birth, aging, and historical change - such an investigation has important implications for our understanding of the sources and consequences of interpersonal trust. Two analysis techniques for disentangling APC effects are used: constrained generalized linear models and intrinsic estimator models. The results show that while period effects are an important contributor to declining trust, the attacks exert little influence over one's decision to trust others. Also, the investigation provides further confirmation that trust in others has fallen dramatically in the US with the scarcity being led by individuals coming of age in the late 1940s, after which, trust falls with each successive cohort. If this trend continues, through the process of cohort replacement, we will become a society of "distrusters".
Copyright © 2012 Elsevier Inc. All rights reserved.

Entities:  

Year:  2012        PMID: 23347482     DOI: 10.1016/j.ssresearch.2012.09.006

Source DB:  PubMed          Journal:  Soc Sci Res        ISSN: 0049-089X


  2 in total

1.  Bounding Analyses of Age-Period-Cohort Effects.

Authors:  Ethan Fosse; Christopher Winship
Journal:  Demography       Date:  2019-10

2.  Age-period-cohort analysis with a constant-relative-variation constraint for an apportionment of period and cohort slopes.

Authors:  Shih-Yung Su; Wen-Chung Lee
Journal:  PLoS One       Date:  2019-12-19       Impact factor: 3.240

  2 in total

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