Institutional Trust, Education, and Corruption
A Micro-Macro Interactive Approach
Bibliographic Data
| ID | 8032010 |
|---|---|
| Authors | Armen Hakhverdian (University of Amsterdam), Quinton Mayne (0000-0003-4681-5515, Harvard University Press) |
| Year | 2012 |
| Volume | 74 |
| Issue | 3 |
| Pages | 739-750 |
| Publication date | 2012-07-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | The Journal of Politics (JOURNAL) |
| Journal identifiers | ISSN: 0022-3816 • E-ISSN: 1468-2508 |
| Publisher | University of Chicago Press (PUBLISHER • US) |
| DOI | 10.1017/s0022381612000412 |
| OpenAlex | W2143015963 |
| Language | EN |
| Citations received | 191 |
| References cited | 67 |
This article examines how the effect of education on institutional trust varies cross-nationally as a function of the pervasiveness of public-sector corruption. We approach institutional trust as a performance-based evaluation of political institutions. Given their greater capacity to accurately assess the level of corruption coupled with their stronger commitment to democratic values, we hypothesize that higher-educated citizens should react differently to corruption from those with less education. Employing multilevel models we find that education has both a conditional and a conditioning effect on institutional trust. First, education is negatively related to institutional trust in corrupt societies and positively related to institutional trust in clean societies. Second, the corrosive effect of corruption on institutional trust worsens as education improves. The article ends with a discussion of the implications of these findings for the functioning of contemporary democracies
Democracy · Economic system · Economics · Function (biology · Higher education · Language change · Macro · Macro level · Multilevel model · Political corruption · Political science · Politics · Corruption and Economic Development · Culture, Economy, and Development Studies · Law · Social Capital and Networks
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| Unique citing works | 191 |
|---|---|
| Citations per year | 14,69 |
| Citation span | 2013 - 2026 (14) |
| Citation velocity | current |
| Highly cited | Yes |
| Citation types | Neutral: 187 |