When an individual believes that peers are predominantly untruthful in a given situation, is he/she more likely to be untruthful in that situation? We study this question in deception experiments patterned after Gneezy [Gneezy U. “Deception: The Role of Consequences.” American Economic Review, 95, 2005, 384–94] and conducted in Arizona, California, and India. We find evidence that dishonesty is indeed contagious. (JEL D03)
Does local Federal regulation respond to the preferences of local Congressional representatives? For example, do Republican Congressmen reduce local enforcement of Clean Air laws in their districts? We use facility-level panel data on Clean Air Act inspections over 1989-2005 to study the causal effect of a Congressman's party affiliation on local enforcement. Random assignment of electoral outcomes is obtained with a Regression Discontinuity design. We find that new Republican (vs. Democratic) Representatives significantly depress inspection rates for local polluting facilities in the first year after their election. (JEL D73, Q52, Q53)
Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in On Monetary and Non-Monetary Interventions to Combat Corruption mArch 2017Any opinions expressed in this paper are those of the author(s) and not those of IZA. Research published in this series may include views on policy, but IZA takes no institutional policy positions. The IZA research network is committed to the IZA Guiding Principles of Research Integrity. The IZA Institute of Labor Economics is an independent economic research institute that conducts research in labor economics and offers evidence-based policy advice on labor market issues. Supported by the Deutsche Post Foundation, IZA runs the world's largest network of economists, whose research aims to provide answers to the global labor market challenges of our time. Our key objective is to build bridges between academic research, policymakers and society. IZA Discussion Papers often represent preliminary work and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be available directly from the author. On Monetary and Non-Monetary Interventions to Combat Corruption 1The paper studies the relative effectiveness of extrinsic monetary disincentives and intrinsic non-monetary disincentives to corruption. In doing so, we also test the Beckarian prediction that at the same level of expected payoff, a low probability of detection with high penalty is a stronger deterrent to corruption than a high probability of detection with low penalty.In Experiment 1, two treatments are designed to study the effect of a low probability of detection with high penalty, and a high probability of detection with low penalty, on bribe taking behavior in a harassment bribery game. In Experiment 2, subjects participate in the same baseline harassment bribery game either without or after having gone through a four-week ethics education program. Results show that a) a low probability of detection with high penalty reduces both the amount and the likelihood of bribe demand, b) a high probability of detection with low penalty has no effect on bribe demand behavior, c) normative appeals of ethics education has a small effect on the likelihood but not on the amount of bribe demand, when measured immediately after the intervention, d) the effect of ethics education vanishes when measured four weeks after the intervention, e) extrinsic monetary intervention, particularly low probability of detection with high penalty, is m...
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.