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Cited by 308

The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.

The Control of Politicians in Divided Societies: The Politics of Fear

Padró i Miquel, Gerard·2007·The Review of Economic Studies

Abstract

Autocrats in many developing countries have extracted enormous personal rents from power. In addition, they have imposed inefficient policies including pervasive patronage spending. I present a model in which the presence of ethnic identities and the absence of institutionalized succession processes allow the ruler to elicit support from a sizeable share of the population despite large reductions in welfare. The fear of falling under an equally inefficient and venal ruler that favours another group is enough to discipline supporters. The model predicts extensive use of patronage, ethnic bias in taxation, and spending patterns and unveils a new mechanism through which economic frictions translate into increased rent extraction by the leader. These predictions are consistent with the experiences of bad governance, ethnic bias, wasteful policies, and kleptocracy in post-colonial Africa.

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Crossref · 10.1111/j.1467-937x.2007.00455.x

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Metadata

Authors
Padró i Miquel, G.
Venue
The Review of Economic Studies
Published
2007-10
Volume
74
Issue
4
Pages
1259-1274
ISSN
  • 0034-6527 (ISSN-L)
  • 1467-937X
OpenAlex
W3020978624
Cited by
308
References
44
FWCI
30.48
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Control of Politicians in Divided Societies: The Politics of Fear. https://app.cochat.ai/papers/10.1111/j.1467-937x.2007.00455.x
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Padró i Miquel, G. (2007). The Control of Politicians in Divided Societies: The Politics of Fear. The Review of Economic Studies. https://doi.org/10.1111/j.1467-937x.2007.00455.x

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.