Are Perceptions of Corruption Matching Experience? Evidence from Microdata

Author:

Corrado Germana1,Corrado Luisa2,De Michele Giuseppe3,Salustri Francesco45

Affiliation:

1. Department of Management and Law, University of Rome Tor Vergata , Rome , Italy

2. Department of Economics and Finance, University of Rome Tor Vergata , Rome , Italy

3. OCCAR-EA, Economist , Bonn , Germany

4. Department of Economics, Roma Tre University , Rome , Italy

5. Institute for Global Health, University College London , London , UK

Abstract

Abstract The efficacy of corruption perception indices to truly capture and accurately measure corruption behaviours has been often criticised. In fact, perceptions about corruption may not match actual experience and could represent distorted beliefs. Motivated by this criticism, we investigate the difference between perceived and experienced corruption (i.e., bribery) in public services in Europe by means of a theoretical model and an empirical analysis. Firstly, we model perceived corruption as a function of experienced corruption and a perception bias. Then, we employ a generalised setting of structural equation models to derive two distinct measures of perceived and experienced corruption from microdata on the public administration sector in Europe. The indices we obtain allow us to compare countries according to both measures of public corruption. Finally, our results suggest that perceptions of corruption may be affected by sources of media bias.

Funder

University of Rome Tor Vergata

Publisher

Oxford University Press (OUP)

Subject

Law,Arts and Humanities (miscellaneous),Social Psychology,Pathology and Forensic Medicine

Reference78 articles.

1. ‘Beyond Unidimensional Measurement of Corruption’;Andersson;Public Integrity,2017

2. ‘Do People Mean What They Say? Implications for Subjective Survey Data’;Bertrand;American Economic Review,2001

3. ‘Causal Indicator Models: Identification, Estimation, and Testing’;Bollen;Structural Equation Modelling: A Multidisciplinary Journal,2009

4. Criminology of Corruption

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