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Cited by 561

The DOI matches its Crossref record; 122 of the 122 references it cites were found in a registry or an index.

POLITICIANS AT WORK: THE PRIVATE RETURNS AND SOCIAL COSTS OF POLITICAL CONNECTIONS

Open access
Cingano, Federico, Pinotti, Paolo·2013·Journal of the European Economic Association

Abstract

We quantify the private returns and social costs of political connections exploiting a unique longitudinal dataset that combines matched employer-employee data for a representative sample of Italian firms with administrative archives on the universe of individuals appointed in local governments over the period 1985-97. According to our results, the revenue premium granted by political connections amounts to 5% on average, it is obtained through changes in domestic sales but not in exports, and it is not related to improvements in firm productivity. The connection premium is positive for upstream producers for the public administration only, and larger (up to 25%) in areas characterized by high public expenditure and high levels of corruption. These findings suggest that the gains in market power derive from public demand shifts towards politically connected firms. We estimate such shifts reduce the provision of public goods by approximately 20%.

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Metadata

Authors
Cingano, F., & Pinotti, P.
Venue
Journal of the European Economic Association
Published
2013-04
Volume
11
Issue
2
Pages
433-465
ISSN
1542-4766 (ISSN-L)
OpenAlex
W3122655844
Cited by
561
References
122
FWCI
256.67
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: POLITICIANS AT WORK: THE PRIVATE RETURNS AND SOCIAL COSTS OF POLITICAL CONNECTIONS. https://app.cochat.ai/papers/10.1111/jeea.12001
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Cingano, F., & Pinotti, P. (2013). POLITICIANS AT WORK: THE PRIVATE RETURNS AND SOCIAL COSTS OF POLITICAL CONNECTIONS. Journal of the European Economic Association. https://doi.org/10.1111/jeea.12001

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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.