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Posts tagged Data Analysis
The Econometric Analysis of Time Series

May Contain Mark-Ups

By A.C Harvey

“The Econometric Analysis of Time Series”by A.C. Harvey is a comprehensive guide to understanding and applying econometric theory to time series data. The book is structured into several key sections, each addressing different aspects of econometric analysis. It Begins with an introduction to the importance of econometrics in estimating relationships suggested by economic theory, testing hypotheses, and making predictions. The book covers linear regression models, least squares estimation, properties of the ordinary least squares (OLS) estimator, generalized least squares (GLS), and prediction. It also delves into the method of maximum likelihood (ML) estimation, its properties, and its application to regression models, discussing sufficiency, the Cramer-Rao lower bound, and robustness of ML estimators. Further, the book explores numerical optimization techniques, including the Newton-Raphson method and two-step estimators, and discusses test procedures and model selection strategies. It addresses regression models with serially correlated disturbances, dynamic models, and simultaneous equation models, emphasizing the integration of recent advances in time series analysis into econometric theory.

The book also highlights the importance of understanding the dynamic aspects of econometric models and the challenges associated with specifying suitable models for time series data. Practical considerations such as the use of instrumental variables, handling heteroscedasticity, and constructing robust estimators are also covered, providing a thorough foundation for both theoretical and applied econometric analysis.

John Wiley & Sons, 1990, 384 pages

Firearm Suicide Rates, by Race and Ethnicity — United States, 2019–2022

By Wojciech Kaczkowski

Suicide, including firearm suicide, remains a substantial public health concern in the United States. During the previous 2 decades, overall suicide rates and firearm suicide rates have risen by approximately one third, approaching 50,000 overall suicides during 2022, including approximately 27,000 firearm suicides (1). Firearm suicides account for approximately one half of all suicides, and this proportion has been increasing (2,3). This analysis includes national firearm suicide data from 2019 through the end of 2022, categorized by race and ethnicity, presented both annually and by month (or quarterly) to track subannual changes.

United States, Morbidity and Mortality Weekly Report. 2019-2022, 2pg

Building a Data-Driven Culture: Challenges of measuring extortion in Central America

By Guillermo Vázquez del Mercado, Luis Félix and Gerardo Carballo

Extortion is one of the main crimes that negatively affect citizen security in the Northern Triangle of Central America (Guatemala, Honduras and El Salvador) and, to a lesser extent, Costa Rica and Panama. Given the widespread presence of this crime in the region, the availability, relevance and reliability of data on extortion are essential to understand its magnitude, as well as to develop evidence-based public policies to contain it and build community resilience. However, unlike for other crimes such as homicides, public institutions in the countries of the region have not yet developed a specific methodology to collect, produce and disseminate up-to-date, reliable, relevant and high-quality data on extortion. This shortcoming hampers the analysis and research needed to measure the real magnitude of this crime and to generate evidence-based public policies. Furthermore, the dynamics of cooperation and territorial disputes between organized crime groups and the lack of knowledge about the variables involved in establishing an extortion rate are additional factors that merit further investigation, as they make it difficult for public institutions to measure extortion.1 This report analyzes the availability of public data on extortion and the transparency mechanisms for accessing it. To do so, the authors reviewed the availability and accessibility of data on extortion from official sources in the countries concerned, particularly the websites of national police forces and prosecutors' offices.

Geneva: Global Initiative Against Transnational Organized Crime, 2021.

Confronting the Inevitability Myth: How Data-Driven Gun Policies Save Lives from Suicide

By Americans for Responsible Solutions Foundation; Law Center for Prevent Gun Violence

The evidence is clear: firearm access contributes greatly to suicide rates, with guns accounting for nearly half of all suicide deaths but just 5% of suicide attempts. As dispiriting as this statistic may be, beneath it lies hope—by taking steps to prevent suicidal people from accessing guns, the most lethal means of suicide, we can make a lifesaving difference. The solutions are already there. We just have to implement them. Confronting the Inevitability Myth represents the culmination of a yearlong project by the attorneys at the Law Center to Prevent Gun Violence to study and analyze suicide in America. We took a hard look at the numbers and the harrowing stories behind them, and identified the smart gun laws and intervention programs that are most effective at saving lives from suicide. And when you ensure that a person in mental crisis doesn't get their hands on a gun, you really are saving a life. As you'll learn in the coming pages, most people who attempt suicide with methods other than a firearm survive, and most survivors never attempt suicide again, going on to live long lives and contribute positively to society. In other words, the idea that suicide is inevitable is a myth, and a deadly one at that. We hope that this report will help dispel this myth, spark conversation, and motivate lawmakers and community leaders to adopt the strategies proven to prevent gun suicide.

Americans for Responsible Solutions Foundation; Law Center for Prevent Gun Violence, 2017. 92p.