IDEAS home Printed from https://ideas.repec.org/p/rtv/ceisrp/420.html
   My bibliography  Save this paper

Are Perceptions of Corruption Matching Reality? Theory and Evidence from Microdata

Author

Abstract

Some criticism has been raised on the actual capability of corruption perception-based indices to gauge the essence of concepts they aim to measure. One can argue that perceptions about corruption are not matching reality and could be the re?ection of distorted truth. Based on this evidence we provide a theoretical ground for the corruption decision-making process (objective corruption) and the corruption perception-making process (subjective corruption) which accounts for the role of media attention. From the theoretical model we are able to derive testable implications for the empirical analysis, i.e. whether socio and cultural norms can explain the gap between the two measures of corruption across Europe. We employ a generalised setting of the structural equation models to build latent indices of objective and subjective corruption from our microdata exploiting the information on various economic, geographic and socio-demographic factors that can a¤ect the perception and the experience of corruption practices. The resulting indices allow us to define country rankings for both types of corruption and draw a geopolitical picture of the phenomenon across Europe. We also show that countries where the quality of media is higher are associated with lower di¤erences between perceived and real corruption.

Suggested Citation

  • Germana Corrado & Luisa Corrado & Giuseppe De Michele & Francesco Salustri, 2017. "Are Perceptions of Corruption Matching Reality? Theory and Evidence from Microdata," CEIS Research Paper 420, Tor Vergata University, CEIS, revised 14 Dec 2017.
  • Handle: RePEc:rtv:ceisrp:420
    as

    Download full text from publisher

    File URL: https://ceistorvergata.it/RePEc/rpaper/RP420.pdf
    File Function: Main text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jakob Svensson, 2003. "Who Must Pay Bribes and How Much? Evidence from a Cross Section of Firms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(1), pages 207-230.
    2. Naci Mocan, 2008. "What Determines Corruption? International Evidence From Microdata," Economic Inquiry, Western Economic Association International, vol. 46(4), pages 493-510, October.
    3. Barr, Abigail & Serra, Danila, 2010. "Corruption and culture: An experimental analysis," Journal of Public Economics, Elsevier, vol. 94(11-12), pages 862-869, December.
    4. Mwangi S. Kimenyi, 2006. "Ethnicity, Governance and the Provision of Public Goods," Journal of African Economies, Centre for the Study of African Economies (CSAE), vol. 15(1), pages 62-99, April.
    5. Axel Dreher & Friedrich Schneider, 2010. "Corruption and the shadow economy: an empirical analysis," Public Choice, Springer, vol. 144(1), pages 215-238, July.
    6. Anders Skrondal & Sophia Rabe‐Hesketh, 2009. "Prediction in multilevel generalized linear models," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 172(3), pages 659-687, June.
    7. Benjamin A. Olken & Patrick Barron, 2009. "The Simple Economics of Extortion: Evidence from Trucking in Aceh," Journal of Political Economy, University of Chicago Press, vol. 117(3), pages 417-452, June.
    8. Treisman, Daniel, 2000. "The causes of corruption: a cross-national study," Journal of Public Economics, Elsevier, vol. 76(3), pages 399-457, June.
    9. Dreher, Axel & Kotsogiannis, Christos & McCorriston, Steve, 2007. "Corruption around the world: Evidence from a structural model," Journal of Comparative Economics, Elsevier, vol. 35(3), pages 443-466, September.
    10. Buccirossi, Paolo & Spagnolo, Giancarlo, 2006. "Leniency policies and illegal transactions," Journal of Public Economics, Elsevier, vol. 90(6-7), pages 1281-1297, August.
    11. Gutmann, Jerg & Padovano, Fabio & Voigt, Stefan, 2020. "Perception vs. experience: Explaining differences in corruption measures using microdata," European Journal of Political Economy, Elsevier, vol. 65(C).
    12. Olken, Benjamin A., 2009. "Corruption perceptions vs. corruption reality," Journal of Public Economics, Elsevier, vol. 93(7-8), pages 950-964, August.
    13. Luisa Corrado & Giuseppe De Michele, 2016. "Mind the Gap: Identifying Latent Objective and Subjective Multi-dimensional Indices of Well-Being," CEIS Research Paper 386, Tor Vergata University, CEIS, revised 24 Jun 2016.
    14. Jaya Krishnakumar & Florian Chávez-Juárez, 2016. "Estimating Capabilities with Structural Equation Models: How Well are We Doing in a ‘Real’ World?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(2), pages 717-737, November.
    15. Weber Abramo, Claudio, 2008. "How Much Do Perceptions of Corruption Really Tell Us?," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 2, pages 1-56.
    16. Raymond Fisman & Edward Miguel, 2007. "Corruption, Norms, and Legal Enforcement: Evidence from Diplomatic Parking Tickets," Journal of Political Economy, University of Chicago Press, vol. 115(6), pages 1020-1048, December.
    17. Habyarimana, James & Humphreys, Macartan & Posner, Daniel N. & Weinstein, Jeremy M., 2007. "Why Does Ethnic Diversity Undermine Public Goods Provision?," American Political Science Review, Cambridge University Press, vol. 101(4), pages 709-725, November.
    18. Sequeira, Sandra & Djankov, Simeon, 2014. "Corruption and firm behavior: Evidence from African ports," Journal of International Economics, Elsevier, vol. 94(2), pages 277-294.
    19. Rabe-Hesketh, Sophia & Skrondal, Anders & Pickles, Andrew, 2005. "Maximum likelihood estimation of limited and discrete dependent variable models with nested random effects," Journal of Econometrics, Elsevier, vol. 128(2), pages 301-323, October.
    20. Maria L. Di Tommaso & Martin Raiser & Melvyn Weeks, 2007. "Home Grown or Imported? Initial Conditions, External Anchors and the Determinants of Institutional Reform in the Transition Economies," Economic Journal, Royal Economic Society, vol. 117(520), pages 858-881, April.
    21. Fisman, Raymond & Svensson, Jakob, 2007. "Are corruption and taxation really harmful to growth? Firm level evidence," Journal of Development Economics, Elsevier, vol. 83(1), pages 63-75, May.
    22. Nicholas Charron & Lewis Dijkstra & Victor Lapuente, 2015. "Mapping the Regional Divide in Europe: A Measure for Assessing Quality of Government in 206 European Regions," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 122(2), pages 315-346, June.
    23. Lucia Rizzica & Marco Tonello, 2015. "Exposure to media and corruption perceptions," Temi di discussione (Economic working papers) 1043, Bank of Italy, Economic Research and International Relations Area.
    24. Van Rijckeghem, Caroline & Weder, Beatrice, 2001. "Bureaucratic corruption and the rate of temptation: do wages in the civil service affect corruption, and by how much?," Journal of Development Economics, Elsevier, vol. 65(2), pages 307-331, August.
    25. Sophia Rabe-Hesketh & Anders Skrondal & Andrew Pickles, 2004. "Generalized multilevel structural equation modeling," Psychometrika, Springer;The Psychometric Society, vol. 69(2), pages 167-190, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Attar, Andrea & Campioni, Eloisa & Piaser, Gwenaël, 2019. "Private communication in competing mechanism games," Journal of Economic Theory, Elsevier, vol. 183(C), pages 258-283.
    2. Tommaso Proietti & Niels Haldrup & Oskar Knapik, 2017. "Spikes and memory in (Nord Pool) electricity price spot prices," CEIS Research Paper 422, Tor Vergata University, CEIS, revised 18 Dec 2017.
    3. Lorenzo Ferrari & Francesco Salustri, 2020. "The relationship between corruption and chronic diseases: evidence from Europeans aged 50 years and older," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 65(3), pages 345-355, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Roberto Burguet & Juan-José Ganuza & José García-Montalvo, 2016. "The Microeconomics of Corruption. A Review of Thirty Years of Research," Working Papers 908, Barcelona School of Economics.
    2. Krisztina Kis-Katos & Günther G. Schulze, 2013. "Corruption in Southeast Asia: a survey of recent research," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 27(1), pages 79-109, May.
    3. Yan Leung Cheung & P. Raghavendra Rau & Aris Stouraitis, 2012. "How much do firms pay as bribes and what benefits do they get? Evidence from corruption cases worldwide," NBER Working Papers 17981, National Bureau of Economic Research, Inc.
    4. Benjamin A. Olken & Rohini Pande, 2012. "Corruption in Developing Countries," Annual Review of Economics, Annual Reviews, vol. 4(1), pages 479-509, July.
    5. Abhijit Banerjee & Rema Hanna, 2012. "Corruption [The Handbook of Organizational Economics]," Introductory Chapters,, Princeton University Press.
      • Banerjee, Abhijit & Hanna, Rema & Mullainathan, Sendhil, 2012. "Corruption," Working Paper Series rwp12-023, Harvard University, John F. Kennedy School of Government.
      • Hanna, Rema N. & Mullainathan, Sendhil & Banerjee, Abhijit, 2012. "Corruption," Scholarly Articles 8830779, Harvard Kennedy School of Government.
      • Abhijit Banerjee & Rema Hanna & Sendhil Mullainathan, 2012. "Corruption," Working Papers id:4952, eSocialSciences.
      • Abhijit Banerjee & Sendhil Mullainathan & Rema Hanna, 2012. "Corruption," NBER Working Papers 17968, National Bureau of Economic Research, Inc.
    6. Athanasouli, Daphne & Goujard, Antoine, 2015. "Corruption and management practices: Firm level evidence," Journal of Comparative Economics, Elsevier, vol. 43(4), pages 1014-1034.
    7. Jensen, Nathan M & Rahman, Aminur, 2011. "The silence of corruption : identifying underreporting of business corruption through randomized response techniques," Policy Research Working Paper Series 5696, The World Bank.
    8. Gans-Morse, Jordan & Borges, Mariana & Makarin, Alexey & Mannah-Blankson, Theresa & Nickow, Andre & Zhang, Dong, 2018. "Reducing bureaucratic corruption: Interdisciplinary perspectives on what works," World Development, Elsevier, vol. 105(C), pages 171-188.
    9. Chandrasekhar Krishnamurti & Domenico Pensiero & Eswaran Velayutham, 2019. "Determinants Of Defence Industry Corruption Risk: Firm Level Empirical Evidence Using Transparency International’S Anti-Corruption Index," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 64(03), pages 675-708, June.
    10. Couttenier, Mathieu & Toubal, Farid, 2017. "Corruption for sales," Journal of Comparative Economics, Elsevier, vol. 45(1), pages 56-66.
    11. Emran, M. Shahe & Islam, Asadul & Shilpi, Forhad, 2013. "Admission is free only if your dad is rich! distributional effects of corruption in schools in developing countries," Policy Research Working Paper Series 6671, The World Bank.
    12. van Veldhuizen, R., 2013. "The influence of wages on public officials’ corruptibility: A laboratory investigation," Journal of Economic Psychology, Elsevier, vol. 39(C), pages 341-356.
    13. Rajeev K. Goel & Ummad Mazhar & Rati Ram, 2022. "Dimensions of size and corruption perceptions versus corruption experiences by firms in emerging economies," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(2), pages 374-396, April.
    14. Lucia Rizzica & Marco Tonello, 2015. "Exposure to media and corruption perceptions," Temi di discussione (Economic working papers) 1043, Bank of Italy, Economic Research and International Relations Area.
    15. Michael Jetter & Jay K. Walker, 2015. "Good girl, bad boy: Corrupt behavior in professional tennis," Documentos de Trabajo de Valor Público 12545, Universidad EAFIT.
    16. Joël CARIOLLE, 2018. "Corruption determinants in developing and transition economies: Insights from a multi-level analysis," Working Papers P229, FERDI.
    17. M. Shahe Emran & Asadul Islam & Forhad Shilpi, 2020. "Distributional Effects of Corruption When Enforcement is Biased: Theory and Evidence from Bribery in Schools in Bangladesh," Economica, London School of Economics and Political Science, vol. 87(348), pages 985-1015, October.
    18. Dmitry Ryvkin & Danila Serra, 2019. "Is More Competition Always Better? An Experimental Study Of Extortionary Corruption," Economic Inquiry, Western Economic Association International, vol. 57(1), pages 50-72, January.
    19. Ivlevs Artjoms & Hinks Timothy, 2015. "Bribing Behaviour and Sample Selection: Evidence from Post-Socialist Countries and Western Europe," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 235(2), pages 139-167, April.
    20. Lambsdorff Johann Graf & Schulze Günther G., 2015. "Guest Editorial: Special Issue on Corruption at the Grassroots-level: What Can We Know About Corruption?," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 235(2), pages 100-114, April.

    More about this item

    Keywords

    Perceived and experienced corruption; Latent variables; Latent multi-dimensional index; Multiple indicators multiple causes models; Generalized SEM MIMIC.;
    All these keywords.

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption
    • H11 - Public Economics - - Structure and Scope of Government - - - Structure and Scope of Government
    • R50 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rtv:ceisrp:420. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Barbara Piazzi (email available below). General contact details of provider: https://edirc.repec.org/data/csrotit.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.