Quantitative Analysis of Disparities in Juvenile Delinquency Referrals

Minority youths in Anchorage are referred to the Alaska Division of Juvenile Justice (DJJ) for delinquent behavior at rates much higher than white youths. This report, presenting the first findings from an extended examination of extended examination of race, ethnicity, and juvenile justice in Anchorage, provides a broad overview of the level of disproportionate minority contact in the Alaska juvenile justice system and examines whether disproportionate minority contact occurs (1) for all minority youth, (2) for both males and females, (3) for both youth referred for new crimes and youth referred for conduct or probation violations, and (4) throughout the Municipality of Anchorage or in specific geographical areas within the Municipality of Anchorage. By developing a detailed understanding of the scope of disproportionate minority contact, we become much better prepared to identify its causes and to develop promising evidence-based solutions. The sample in this analysis includes 1,936 youths who resided in Anchorage and were referred to DJJ in Anchorage during fiscal year 2005 for new crimes, probation violations, or conduct violations.National Institute of Justice Grant No. 2005-IJ-CX-0013Table and Figures / Acknowledgments / Executive Summary / Quantitative Analysis of Disparities in Juvenile Delinquency Referrals / Sample and Data / Geographic Data / Census Data / Juvenile Justice Data / Analysis / Results / Racial, Ethnic, and Gender Composition of Referred Youth / Disproportionate Minority Contact in Anchorage / Rates of Referral by Census Tract / Disproportionate Minority Contact by Census Tract / Disproportionate Minority Contact by Census Tract, for All Minority Youth / Disproportionate Minority Contact by Census Tract, for Black Youth / Disproportionate Minority Contact by Census Tract, for Native Youth / Disproportionate Minority Contact by Census Tract, for Asian Youth / Disproportionate Minority Contact by Census Tract, for Pacific Youth / Disproportionate Minority Contact by Census Tract, for Other Minority Youth / Disproportionate Minority Contact by Census Tract, for Multiracial Youth / Disproportionate Minority Contact by Census Tract, for Hispanic Youth / Summary of DMC Analyses by Census Tract / Summary and Conclusion / Appendices A. Technical Notes on Relative Rate Indices B. Technical Notes on Relative EB Rate Indices C. Type of Analysis by Census Trac

Effects of tariffs and sanitary barriers on high- and low-value poultry trade

"A competitive partial-equilibrium spatial model with heterogeneous goods is constructed to evaluate effects of the removal of tariffs, tariff-rate quotas, and sanitary regulations on world poultry trade. The model distinguishes between "high-value" (mostly white meat) and "low-value" (mostly dark meat) poultry products and simulates the trade flows between eight exporting and importing countries and regions. Removing all barriers simultaneously has larger impact on trade than only removing tariffs and tariff-rate quotas. Imposition of sanitary barriers against US products by Russia shifts trade flows, but does not have large net impacts on US producers." from Abstract

Linking Risk and Economic Assessments in the Analysis of Plant Pest Regulations: The Case of U.S. Imports of Mexican Avocados

Risk and Uncertainty,

EFFECTS OF TARIFFS AND TECHNICAL BARRIERS ON HIGH- AND LOW-VALUE POULTRY TRADE

A perfectly competitive spatial partial equilibrium model is constructed to evaluate some of the policy effects on world poultry trade. The model simulates the trade flows among six key exporting and importing countries and two aggregate rest-of-world regions. Effects of removal of restrictions based on tariffs, tariff-rate quotas (TRQs) and sanitary regulations are evaluated maintaining a distinction between "high-value" (mostly white meat) and "low-value" (mostly dark meat) poultry products. Results suggest that removal of sanitary barriers alone has relatively little effect compared to removal of tariffs and TRQs, but has more effect if sanitary and other barriers are removed simultaneously. Imposition of new sanitary barriers against US products by Russia would also shift trade flows, with production rising in Brazil.International Relations/Trade,

Economic and environmental effects of border tax adjustments

Taxing imports from regions which are not subject to climate policy and subsidizing exports into these regions have recently been proposed to address presumed negative effects of the EU Emissions Trading Scheme (EU ETS) on industry competitiveness and carbon leakage. This paper analyzes the economic and environmental effects of alternative border tax adjustment (BTA) mechanisms using an extended version of the GTAP-E model that explicitly includes domestic trade and transport margins. The BTAs are imposed on regions which have not committed to emission targets under the Kyoto Protocol or which failed to ratify the Kyoto Protocol. The analyses distinguish between effects of the BTAs on the EU15 countries and on the rest of the EU (REU). Likewise, the analyses single out the effects of climate policy with and without BTAs on domestic output changes which are due to changes in import competition and export competitiveness. Implementing a BTA whose power is equal to the percentage change in production costs in the energy-intensive sectors in the EU has different impacts for those sectors in the EU15 countries compared with the REU countries. In the EU15, the BTA effectively neutralizes import competition in the energy-intensive sectors while enhancing the export competitiveness of these sectors. Conversely, in the REU, the BTA is not effective in neutralizing increased import competition or decreased export competitiveness because the majority of trade by the REU is with countries/regions that are not included in the BTA. Overall, implementing a BTA has little effect on the marginal abatement costs of achieving the emission reductions in the Kyoto Protocol and does little in reducing carbon leakage. --

INTERNATIONAL TRADE: HOW IT AFFECTS VIRGINIA AGRICULTURE

International Relations/Trade,

Effects of Tariffs and Sanitary Barriers on High- and Low-Value Poultry Trade

A competitive partial-equilibrium spatial model with heterogeneous goods is constructed to evaluate effects of the removal of tariffs, tariff-rate quotas, and sanitary regulations on world poultry trade. The model distinguishes between "highvalue" (mostly white meat) and "low-value" (mostly dark meat) poultry products and simulates the trade flows among eight exporting and importing countries and regions. Removing all barriers simultaneously has a larger impact on trade than removing only tariffs and tariff-rate quotas. Imposition of sanitary barriers against U.S. products by Russia shifts trade flows, but does not have large net impacts on U.S. producers.poultry trade, sanitary barriers, tariffs, Agricultural and Food Policy,

Final Report: Anchorage Disproportionate Minority Contact Study

This project examined disproportionate minority contact in Anchorage, Alaska. It was designed to provide a more nuanced understanding of disproportionate minority contact at the referral stage (when law enforcement officers refer youth to the Alaska Division of Juvenile Justice). To do so, we relied on community involvement and utilized different statistical techniques to examine the geography and development of disproportionate minority contact. Researchers partnered with practitioners from the Anchorage Disproportionate Minority Contact Initiative to structure the research process and to interpret and disseminate results. Geographic analyses were conducted to examine where the highest levels of disproportionate minority contact were occurring and longitudinal analyses were conducted to examine at what age disproportionate minority contact began. These analyses provided an understanding of disproportionate minority contact that was obscured when examining relative rate indices. Geographic analyses, for example, revealed high levels of disproportionate minority contact for Pacific youth (a group that would have traditionally been ignored because of its ‘small population’). Longitudinal analyses revealed that disproportionate minority contact began at age 13. Although relative rate indices are useful to identify broad patterns in disproportionate minority contact, they are less useful to drive action. We overcame this limitation with strong community partnerships and different statistical methods for disproportionate minority contact research. In the end, practitioners and researchers used data and research to develop strategic plans to reduce disproportionate minority contact.National Institute of Justice, Office of Justice Programs, U.S. Department of Justice. Grant No. 2005-IJ-CX-0013I. Disproportionate Minority Contact Table 1. Summary of National Relative Rate Indices, 2005 Figure 1. National Relative Rate Indices for Arrest Stage: 1990-2005 Figure 2. National Relative Rate Indices for Referral Stage: 1990-2005 Table 2. Summary of Relative Rate Indices for FY05 Table 3. Relative Rate Indices by Race Table 4. Relative Rate Indices by Race, Gender, and Type of Referral / II. Community Involvement Table 5. Strategies and Objectives for Anchorage DMC Initiative / III. Geography of Disproportionate Minority Contact Figure 3. Census Tracts in Municipality of Anchorage Table 6. Composition of Census Tracts by Race Figure 4. EB Rates of Referral by Race Table 7. EB Rates of Referral by Race Figure 5. Relative EB Rate Indices by Race Table 8. Distribution of Relative EB Rate Indices by Race Table 9. Descriptive Statistics for Relative EB Rate Indices by Race Figure 6. Minority Group with Highest Relative EB Rate Index / IV. Development of Disproportionate Minority Contact Table 10. Total Number of Charges for Anchorage Cohort, Age 10-17 Table 11. Age at First Charge for Anchorage Cohort Table 12. Racial Composition of Cohort and Population At-Risk Table 13. Bayesian Information Criterion Statistics Table 14. Predicted Average Referral Rates Table 15. Characteristics of Developmental Trajectories Figure 7. Predicted Average Referral Rates: Five-Group Model Table 16. Demographic Composition of Developmental Trajectories Figure 8. Predicted Group Membership Probabilities by Rac