Creating Convergence: Debiasing Biased Litigants

نویسنده

  • Linda Babcock
چکیده

It is widely perceived that litigation costs and volume have skyrocketed. Part of a veritable flood, books with such titles as The Litigious Society and The Litigation Explosion lament the historical trends and their costs for society, and numerous efforts at tort reform have been implemented at the federal and local levels in an effort to turn the tide. Some of these reforms have aimed at an alteration of substantive claims, as with limitations on joint and several liability or changes in the availability of punitive damages. A separate set of reforms aims at reducing costs through a variety of procedural mechanisms that seek to impose greater managerial control over litigation. In the domain of federal civil procedure, for example, we see the expansion of managerial power of judges over pretrial procedure under rule 16, the expansion of summary judgment under rule 56, and the greater management of discovery under rule 26. The rush to reform has engendered its own problems. Despite the salience of trials in both the media and the annals of reported case law, trials are rare events within the constellation of disputes (Insurance Research Council 1994; Keilitz, Hanson, and Daley 1993; Mullenix 1994; Smith et al. 1995). When all the dust has settled, estimates of disputes entering the

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Improving Forecast Accuracy by Guided Manual Overwrite in Forecast Debiasing

We present ongoing work on a model-driven decision support system (DSS) that is aimed at providing guidance on reflecting and adjusting judgmental forecasts. We consider judgmental forecasts of cash flows generated by local experts in numerous subsidiaries of an international corporation. Forecasts are generated in a decentralized, non-standardized fashion, and corporate managers and controller...

متن کامل

A Berry-Esseen Type Bound for the Kernel Density Estimator of Length-Biased Data

Length-biased data are widely seen in applications. They are mostly applicable in epidemiological studies or survival analysis in medical researches. Here we aim to propose a Berry-Esseen type bound for the kernel density estimator of this kind of data.The rate of normal convergence in the proposed Berry-Esseen type theorem is shown to be O(n^(-1/6) ) modulo logarithmic term as n tends to infin...

متن کامل

Framing effect debiasing in medical decision making.

OBJECTIVE Numerous studies have demonstrated the robustness of the framing effect in a variety of contexts. The present study investigated the effects of a debiasing procedure designed to prevent the framing effect for young adults who made decisions based on hypothetical medical decision-making vignettes. METHODS The debiasing technique involved participants listing advantages and disadvanta...

متن کامل

When Ignorance Is Not Bliss: An Empirical Study of Litigants’ Awareness of Court- Sponsored Alternative Dispute Resolution Programs

State courts have been overburdened with litigants seeking civil justice in a system still recovering from the economic downturn of 2008. In many cases, alternative dispute resolution procedures can provide litigants with relief from the expense and waiting time associated with trial. However, such procedures provide little opportunity for justice to litigants who are unaware of their existence...

متن کامل

IT Support for Reducing Group Judgment Biases

Systematic biases have been found in both individual and group judgments, calling for research into debiasing approaches. Although individual debiasing has been studied to some extent, no parallel effort exists for group debiasing. This paper advocates the use of group support systems (G&S) for group debiasing and presents a theoretical perspective on how the impact may be achieved. Special att...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2012