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Does the evidence on corruption depend on how it is measured? Results from a cross-country study on microdata sets

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  • I. Chatterjee
  • R. Ray

Abstract

While much of the existing literature on corruption looks at the effect of corruption on macro variables such as growth rates and income distribution, this study provides a departure by focussing on victims of corruption by using microdata to compare civilian and business corruption. This study finds that businesses face a stronger incidence of bribe demands than individuals. Though there are several differences between the determinants of the two forms of bribe victimization, there are also some similarities. Policies to combat corruption need to take into account both the differences and the similarities.

Suggested Citation

  • I. Chatterjee & R. Ray, 2012. "Does the evidence on corruption depend on how it is measured? Results from a cross-country study on microdata sets," Applied Economics, Taylor & Francis Journals, vol. 44(25), pages 3215-3227, September.
    • Handle: RePEc:taf:applec:44:y:2012:i:25:p:3215-3227
    DOI: 10.1080/00036846.2011.570724
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    References listed on IDEAS

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    2. 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.
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    5. Ishita Chatterjee & Ranjan Ray, 2009. "Does the Evidence on Corruption Depend on how it is measured? Results from a Cross Country Study on Micro Data sets," Monash Economics Working Papers 07-09, Monash University, Department of Economics.
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    Cited by:

    1. You, Jing & Nie, Huihua, 2017. "Who determines Chinese firms' engagement in corruption: Themselves or neighbors?," China Economic Review, Elsevier, vol. 43(C), pages 29-46.
    2. Ilona Wysmułek, 2019. "Using public opinion surveys to evaluate corruption in Europe: trends in the corruption items of 21 international survey projects, 1989–2017," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(5), pages 2589-2610, September.
    3. Priya, Pragati & Sharma, Chandan, 2023. "Reinforcing the effects of corruption and financial constraints on firm performance: Normal versus crisis period in developing economies," Economic Modelling, Elsevier, vol. 127(C).
    4. Eugen Dimant & Guglielmo Tosato, 2018. "Causes And Effects Of Corruption: What Has Past Decade'S Empirical Research Taught Us? A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 32(2), pages 335-356, April.
    5. Anita K Zonebia & Arief Anshory Yusuf & Heriyaldi, 2015. "Income and Education as the determinants of Anti-Corruption Attitudes: Evidence from Indonesia," Working Papers in Economics and Development Studies (WoPEDS) 201502, Department of Economics, Padjadjaran University, revised Apr 2015.
    6. Ishita Chatterjee & Ranjan Ray, 2013. "The Role of Institutions in the Incidence of Crime and Corruption," Economics Discussion / Working Papers 13-17, The University of Western Australia, Department of Economics.

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    More about this item

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption
    • D78 - Microeconomics - - Analysis of Collective Decision-Making - - - Positive Analysis of Policy Formulation and Implementation

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