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A New Look at Inequality: Introducing and Testing a Cross-Sectional Equality Measurement Framework in New York City
Authors: Besiki Kutateladze & Victoria Lawson
Inequality is a characteristic of societies worldwide, and many groups face disparities across a range of domains from economy to health to justice. While inequality is a complex problem in which many of these domains are interconnected, most research examines only one area, or at most the effect of one area on another. This paper details an innovative approach to studying inequality using an indicators methodology. The Equality Indicators are comprised of 96 measures of inequality and how it changes annually across six themes: Economy, Education, Health, Housing, Justice, and Services. It compares the experiences of those most likely to be adversely affected by inequalities to those of less disadvantaged groups. Here, we detail the development of the tool, its structure, data sources, and scoring system, followed by baseline findings from New York City, where we combined administrative and secondary public survey data with the data from a new public survey conducted for this study. We found substantial inequalities across all six themes, although they were most pronounced in Health and Justice. While we are not able to make direct comparisons of indicators in a given year, the intention of the tool is to track change over time; in future years we will be able to compare change or lack thereof across indicators and domains. The current findings across areas, however, suggest that New York City is characterized by vast inequalities, where disadvantaged groups are twice as likely as others to experience negative outcomes in fundamental areas of life.
Equality Indicators: Baseline Date for Measuring Change Toward Greater Equality in New York City
Authors: Victoria Lawson, Qian Zhang, Shawnda Chapman Brown, & Besiki Kutateladze
Does Evidence Really Matter? An Exploratory Analysis of the Role of Evidence in Plea Bargaining in Felony Drug Cases
The majority of cases in the United States are disposed of through plea bargaining; however, this important discretionary point has received relatively little attention from researchers compared with trial and jury proceedings, and other discretionary points such as arrest and sentencing. Additionally, although evidence is considered an important factor in determining case outcomes, its influence on prosecutors’ decisions regarding plea offers is less clear. In this study, we examined the potential impact of evidentiary factors, as well as other legal and extralegal factors, on two plea bargaining decisions, plea-to-a-lesser-charge offers and sentence offers, using data on felony drug cases processed by the New York County District Attorney’s office. We found that prosecutors made more punitive charge offers when they had audio/video evidence, eyewitness identification(s), prerecorded buy money used by an undercover officer in a buy-and-bust operation, or had recovered currency. Of all evidence factors analyzed, only the recovery of currency predicted sentence offers. By contrast, three other factors—defendants’ detention status, the presence of multiple plea offers, and prior prison sentence—had a much greater impact on charge and sentence offers. Although additional research is needed, it is possible that evidence has a greater impact at the initial stages of a case, particularly on the decision about whether to accept a case for prosecution, than it does on subsequent prosecutorial decisions.
Authors: Besiki L. Kutateladze, Victoria Z. Lawson, & Nancy R. Andiloro
Why, What and How to Measure? A User’s Guide to Measuring Rule of Law, Justice and Security Programmes
This monitoring and evaluation guide is intended to improve the effectiveness of UNDP’s rule of law programming with a view to implement UNDP’s Strategic Plan. This is the first guide that focuses specifically on the measurement of UNDP’s rule of law programs and projects across the spectrum of development settings, including conflict-affected and fragile environments.
Authors: Besiki Kutateladze and Jim Parsons