Final Rough Draft

profilefrandycmitchgwl
final.docx

Running head: DEATH SENTENCE 1

DEATH SENTENCE 7

The Death Sentence

Brandy Vaughn

GEN 499: General Education

Instructor: Valencia Williams

17 October 2016

Death Sentence

The only fact that people consider when making a statement that death sentence can deter crime is an assumption. In reality, however, the assumption is not considered as a fact. No one has ever provided evidence that death penalty is the deterrent. Many individuals presume that the fear that one will receive justice or punishment will deter murder. People would not do drugs or speed on highways in fear of being prosecuted if this were true. Human behavior and history have proven that rational human instinct is not deterrent to murder. If this did deter crime capital punishment would never be used. People would just inform one another of the law and never commit crimes. It is unfortunate that many individuals commit crime out of passion and do not mind about the effects. With or without death sentence individual still offend. The death sentence does not have conclusive evidence to be used as a tool to deter an individual from committing crimes.

Annotated Bibliography

Cohen-Cole, E., Durlauf, S., Fagan, J. & Nagin, D. (2009). Model Uncertainty and the Deterrent Effect of Capital Punishment. American Law and Economics Review, 11(2), 335-369.

In this article, the authors examine the strength various types of evidence have in regards to the warning impact with the decease consequence. The authors focus their attention on different controversies and studies on the topic of capital punishment. The articles argue that the significant challenge with studies of the death penalty is the failure to thoroughly talk about the model uncertainty. The authors offer some recommendations on how people can address the model uncertainty. In terms of substance, the authors perform the various exercise to demonstrate how suggested methods can be utilized to address the distinction between studies on the issue of capital punishment. The outcome of the study is useful because it helps to explicate the main disagreement that exists in the empirical literature. The main purpose of the article is to offer a constructive approach that can be used to address the model uncertainty found in the literature of capital punishment. As discovered by the authors the aim of pre-emption trainings is not to recognize the greatest method of the execution procedure, however, is to talk the data that is embodied in a data established about dissuasion.

Donohue, J. J., & Wolfers, J. (2009). Estimating the Impact of the Death Penalty on Murder. American Law and Economics Review, ahp024.

The article explores the econometric issues that arise in efforts to estimate the effect brought about by death penalty on murder. The authors highlight choices that have to be made when it comes to the specification of different board information tactics which were consistently utilized to discourse the issue of death penalty. Little clarification has been provided in regards to data of probable slaughterers in regards to the danger of killings. The article illustrates the sensitivity various estimates have on the choices. Three 2SLS studies purport to discover evidence of a deterrent effect while the most recent OLS board statistics lessons have generated zero proof. None of the 2SLS studies shows outcomes that are strong to gathering their standard errors. The author considers the studies to be unconvincing since all of them utilize a challenging construction that is founded with regards to theoretically inappropriate and failing restrained pseudo-possibilities which could be created to apprehension the chief preemption fundamentals of a nation's capital punishment administration. The article also talks about the appropriateness of the unspoken assumptions made by the 2SLS conveys OLS approximates of the effect capital punishment would be prejudiced against a discovery of deterrence.

Levitt, S. D., & Miles, T. J. (2007). Empirical Study of Criminal Punishment. Handbook of law and economics1, 455-495.

This article analyzes economists' empirical studies of criminal justice and criminal punishment system. Empirical economists have experimented predictions of criminal behavior utilizing variation in anticipated criminal punishment. These individuals have substantially progressed in identifying the impact of punishment on crime by discovering new approaches to break the simultaneity of criminal punishments and crime rates. The recent empirical evidence offers support for the deterrence model, however, it portrays that incapacitation can also influence crime rates. Evidence of the effect brought about by reducing crime of incarceration and policing is reliable across diverse methodological strategies. Assumptions of deterrent impact of the death penalty are not strong and propose that entitlements of large impacts of the policies may be false. A lot of work is expected to survey the relative significance of deterrence and weakening. Experimental economic experts have gained less ground in considering the criminal justice framework itself. Information accessibility compels the financial experts' capacity to determine the concurrence of criminal justice foundations and wrongdoing rates, and this constraint hampers thorough exact examination of the motivation impacts of various criminal justice establishments and techniques.

Manski, C. F., & Pepper, J. V. (2013). Deterrence and The Death Penalty: Partial Identification Analysis Using Repeated Cross Sections. Journal of Quantitative Criminology29(1), 123-141.

For long researchers have utilized the same cross-sectional observations of sanctions and homicides rate to explore the deterrent impact brought about by acceptance and application of capital punishment acts. However, experimental works has significantly been unsuccessful in getting a compromise. The article argues that the main problem is a failure to observe the results of counterfactual policies. In this way, data alone cannot be utilized to recognize the deterrent influence of the death penalty. Research, in this case, is trying to impose strong assumptions to yield a definitive discovery. In its place, the article explores the categorizing power of weak expectations which limit differences of how reply transversely place and time is treated. The author discovers that partial identification is bounded the deterrent impact of the death penalty. By adding stronger categorizing assumptions, the article seeks to make it clear how assumptions shape inference. There is substantial ambiguity under the weakest restrictions. People cannot rule out the likelihood that having a capital punishment statute considerably decreases or increases homicide. Imposing stronger assumptions can reduce the ambiguity.

Zimmerman, P. R. (2009). Statistical Variability and the Deterrent Effect of the Death Penalty. American law and economics review, ahp003.

The article is based on Donohue and Wolfers’ main criticism of Zimmerman’s study. The criticism states that the approximated errors on the sub-collection of Zimmerman’s regressions that propose a deterrent impact are prejudiced because of autocorrelation. However, the method relied upon by Donohue and Wolfers to adjust standard errors of Zimmerman is potentially problematic. Moreover, it is the only one of the various method that has addressed the existence of autocorrelation. Original models of Zimmerman to this end are subject to different parametric adjustments to autocorrelation. All of them lead to statistically important estimates that are believed to be of the same magnitudes to the author's original estimates. Furthermore, the article presents results that are obtained from a different model whose requirement is motivated on statistical and theoretical grounds. In addition to this, the latter outcomes offer some evidence that supports a deterrent impact. Ultimately, the article talks about how Donohue and Wolfers have used randomization testing and how they continue to discuss that death penalty is not carried out regularly enough to reasonably deter murders.

References

Cohen-Cole, E., Durlauf, S., Fagan, J. & Nagin, D. (2009). Model Uncertainty and the Deterrent Effect of Capital Punishment. American Law and Economics Review, 11(2), 335-369.

Donohue, J. J., & Wolfers, J. (2009). Estimating the Impact of the Death Penalty on Murder. American Law and Economics Review, ahp024.

Manski, C. F., & Pepper, J. V. (2013). Deterrence and The Death Penalty: Partial Identification Analysis Using Repeated Cross Sections. Journal of Quantitative Criminology29(1), 123-141.

Levitt, S. D., & Miles, T. J. (2007). Empirical Study of Criminal Punishment. Handbook of law and economics1, 455-495.

Zimmerman, P. R. (2009). Statistical Variability and the Deterrent Effect of the Death Penalty. American law and economics review, ahp003.