Abatemarco, Antonio and Cascavilla, Alessandro and Dell’Anno, Roberto and Morone, Andrea (2023): Maximal Fines and Corruption: An Experimental Study on Illegal Waste Disposal.
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Abstract
Corruption is known to be one of the real life situations which may jeopardize the effectiveness of fines in deterring crime. We present a model of ‘crime with corruption’ by which both the dilution of crime deterrence due to corruption, as well as the possibility of crime encouraging fines are formally highlighted. More importantly, by running an experiment on a subject pool of students for the case of illegal waste disposal, we provide experimental evidence on the validity of our theoretical predictions. We find that increasing fine rate may become crime encouraging or at least ineffective, beyond a context-specific fine threshold. In a policy perspective, we suggest that the optimal design of a crime-deterring sanctioning system must simultaneously account for both corruption practices and anti-corruption policies.
Item Type: | MPRA Paper |
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Original Title: | Maximal Fines and Corruption: An Experimental Study on Illegal Waste Disposal |
Language: | English |
Keywords: | corruption, crime, fine, waste |
Subjects: | C - Mathematical and Quantitative Methods > C9 - Design of Experiments > C91 - Laboratory, Individual Behavior H - Public Economics > H1 - Structure and Scope of Government > H10 - General K - Law and Economics > K1 - Basic Areas of Law > K14 - Criminal Law K - Law and Economics > K4 - Legal Procedure, the Legal System, and Illegal Behavior > K42 - Illegal Behavior and the Enforcement of Law Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q5 - Environmental Economics > Q50 - General |
Item ID: | 118733 |
Depositing User: | Mr Alessandro Cascavilla |
Date Deposited: | 26 Oct 2023 04:32 |
Last Modified: | 26 Oct 2023 04:34 |
References: | Anderson, L. R., Freeborn, B. A., McAlvanah, P., & Turscak, A. (2022). Pay every subject or pay only some?. Journal of Risk and Uncertainty, 1-28. Bebchuk, L., & Kaplow, L. (1992). Optimal Sanctions When Individuals Are Imperfectly Informed about the Probability of Apprehension. Journal of Legal Studies, 21(2), 365-370. Becker, G.S., & Stigler G.J. (1974). Law Enforcement, Malfeasance, and Compensation of Enforcers. Journal of Legal Studies, 3, 1-18. Becker, S. (1968). Crime and Punishment: An Economic Approach. The Journal of Political Economy, 76(2), 169-217. Bowles, R., & Garoupa, N. (1997). Casual Police Corruption and the Economics of Crime. International Review of Law and Economics, 17, 75-87. Brant, R. (1990). Assessing proportionality in the proportional odds model for ordinal logistic regression. Biometrics, 46, 1171–1178. Chalfin, A., & McCrary, J. (2017). Criminal Deterrence: A Review of the Literature. Journal of Economic Literature, 55(1), 5–48. Chang, J.-J., Lai, C.-C., & Yang, C.C. (2000). Casual police corruption and the economics of crime: further results. International Review of Law and Economics, 20, 35–51. DeAngelo, G. & Charness, G. (2012). Deterrence, expected cost, uncertainty and voting: experimental evidence. Journal of Risk and Uncertainty, 44(1), 73-100. Feess, E., Schildberg-Hörisch, H., Schramm, M., & Wohlschlegel, A. (2018). The impact of fine size and uncertainty on punishment and deterrence: Theory and evidence from the laboratory. Journal of Economic Behavior & Organization, 149, 58-73. Garoupa, N. (1997). The Theory of Optimal Law Enforcement. The Journal of Economic Surveys, 11, 267 – 295. Hansen, B. (2015). Punishment and deterrence: evidence from drunk driving. American Economic Review, 105(4), pp. 1581-1617 Haselhuhn, M.P., Pope, D.G., Schweitzer, M.E., & Fishman, P. (2012). The impact of personal experience on behavior: evidence from video-rental fines. Management Science, 58(1), 52-61. Kaplow, L. (1990). A Note on the Optimal Use of Nonmonetary Sanctions. Journal of Public Economics, 42(1), 245 – 247. Khan, F. (2008). Understanding the Spread. American Review of Political Economy, 6(2), 16-39. Kugler, M., Verdier, T., & Zenou, Y. (2005). Organized crime, corruption and punishment. Journal of Public Economics, 89(9-10), 1639-1663 Levitt, S.D. (1998). Juvenile crime and punishment. Journal of political Economy, 106(6), 1156-1185 Lewin, J.L., & Trumbull, W.N. (1990). The Social Value of Crime? International Review of Law and Economics, 10, 271 – 284. Long, J. S. (1997), Regression models for categorical and limited dependent variables, Sage Publication: Thousand Oaks, California, USA. McCullagh, P., & Nelder, J. A. (1989). Generalized linear models (2nd ed.). London, UK: Chapman and Hall. Mishra, A. (2002). Hierarchies, incentives and collusion in a model of enforcement. Journal of Economic Behavior & Organization, 47, 165–178. Mookherjee, D., & Png, I.P.L. (1995). Corruptible Law Enforcers: How Should They Be Compensated? The Economic Journal, 105, 428, 145–59. Opp, K-D. (1989). The Economics of Crime and the Sociology of Deviant Behavior. A Theoretical Confrontation of Basics Propositios. Kyklos, 42(3), 405 – 430. Peterson, B., & Harrell, F. E. Jr. (1990). Partial proportional odds models for ordinal response variables. Applied Statistics, 39(2), 205–217. Polinsky, M., & Shavell, S. (1979). The optimal trade-off between the probability and magnitude of fines. American Economic Review, 69, 880 – 891. Polinsky, M., & Shavell, S. (1991). A Note on Optimal Fines When Wealth Varies Among Individuals. American Economic Review, 81, 618 – 621. Polinsky, M., & Shavell, S. (1992). Enforcement Costs and the Optimal Magnitude and Probability of Fines. Journal of Law and Economics, 35, 133 – 148. Polinsky, M., & Shavell, S. (2007). The Theory of Public Enforcement of Law. Handbook of Law and Economics, Ch 6, 403 – 454. Rose-Ackerman, S. (1975). The economics of corruption. Journal of Public Economics, 4(2), 187-203. Shleifer, A., & Vishny, R.W. (1993). Corruption. The Quarterly Journal of Economics, 108(3), 599–617. Stigler, G.J. (1970). The Optimum Enforcement of Laws. Journal of Political Economy, 78, 526 – 536. Williams R. (2016) Understanding and interpreting generalized ordered logit models. The Journal of Mathematical Sociology, 40(1), 7-20. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/118733 |