Misunderestimating corruption
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- Aart Kraay & Peter Murrell, 2016. "Misunderestimating Corruption," The Review of Economics and Statistics, MIT Press, vol. 98(3), pages 455-466, July.
References listed on IDEAS
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Citations
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Cited by:
- Roberto Iorio & Maria Luigia Segnana, 2022. "Is paying bribes worthwhile? Corruption and innovation in middle-income countries," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 12(3), pages 475-504, September.
- Van Ha, Le, 2024. "Unveiling a novel approach to corruption measurement: Leveraging household survey data on income and expenditure through forensic analysis," Economic Modelling, Elsevier, vol. 136(C).
- Gauthier, Bernard & Goyette, Jonathan & Kouamé, Wilfried A.K., 2021.
"Why do firms pay bribes? Evidence on the demand and supply sides of corruption in developing countries,"
Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 463-479.
- Gauthier,Bernard P. & Goyette,Jonathan & Kouame,Wilfried Anicet Kouakou, 2020. "Why Do Firms Pay Bribes? : Evidence on the Demand and Supply Sides of Corruption in Developing Countries," Policy Research Working Paper Series 9441, The World Bank.
- Bernard GAUTHIER & Frédéric LESNÉ, 2017.
"Measuring corruption in presence of reticent respondents: Theory and Application,"
Working Papers
P207, FERDI.
- Bernard GAUTHIER & Frédéric LESNÉ, 2017. "Measuring corruption in presence of reticent respondents: Theory and Application," Working Papers P207, FERDI.
- Francis,David C. & Kubinec ,Robert, 2022. "Beyond Political Connections : A Measurement Model Approach to Estimating Firm-levelPolitical Influence in 41 Economies," Policy Research Working Paper Series 10119, The World Bank.
- Hongli Feng & Tong Wang & David A. Hennessy & Gaurav Arora, 2022.
"Over-Perception about Land Use Changes: Assessing Empirical Evidence and Linkage with Decisions and Motivated Beliefs,"
Land Economics, University of Wisconsin Press, vol. 98(2), pages 254-273.
- Hongli Feng & Tong Wang & David A. Hennessy & Gaurav Arora, 2021. "Over-perception about Land Use Changes: Assessing Empirical Evidence and Linkage with Decisions and Motivated Beliefs," Center for Agricultural and Rural Development (CARD) Publications 21-wp626, Center for Agricultural and Rural Development (CARD) at Iowa State University.
- Feng, Hongli & Wang, Tong & Hennessy, David A. & Arora, Gaurav, 2022. "Over-perception about Land Use Changes: Assessing Empirical Evidence and Linkage with Decisions and Motivated Beliefs," ISU General Staff Papers 202202231829010000, Iowa State University, Department of Economics.
- Laarni Escresa & Lucio Picci, 2020. "The determinants of cross-border corruption," Public Choice, Springer, vol. 184(3), pages 351-378, September.
- Spyridon Boikos & Mehmet Pinar & Thanasis Stengos, 2023. "Bribery, on-the-job training, and firm performance," Small Business Economics, Springer, vol. 60(1), pages 37-58, January.
- Bernard GAUTHIER & Frédéric LESNÉ, 2018.
"Reported Corruption vs. Experience of Corruption in Public Procurement Contracts,"
Working Papers
P242, FERDI.
- Bernard Gauthier & Frédéric Lesne, 2018. "Reported Corruption vs. Experience of Corruption in Public Procurement Contracts," Post-Print hal-01949498, HAL.
- Bernard GAUTHIER & Frédéric LESNÉ, 2018. "Reported Corruption vs. Experience of Corruption in Public Procurement Contracts," Working Papers P242, FERDI.
- Olivia Bertelli & Thomas Calvo & Emmanuelle Lavallée & Marion Mercier & Sandrine Mesplé-Somps, 2023. "Measuring insecurity-related experiences and preferences in a fragile State. A list experiment in Mali," Working Papers DT/2023/01, DIAL (Développement, Institutions et Mondialisation).
- Kim, Sahrok & Praveen Parboteeah, K. & Cullen, John B. & Jeong, Nara, 2022. "Social institutions approach to women’s firm ownership and firm bribery activity: A study of small-sized firms in emerging markets," Journal of Business Research, Elsevier, vol. 144(C), pages 1333-1349.
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More about this item
Keywords
Information Security&Privacy; Statistical&Mathematical Sciences; Psychology; Scientific Research&Science Parks; Science Education;All these keywords.
JEL classification:
- C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
- O17 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Formal and Informal Sectors; Shadow Economy; Institutional Arrangements
- O43 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Institutions and Growth
NEP fields
This paper has been announced in the following NEP Reports:- NEP-SEA-2013-06-24 (South East Asia)
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