Download or read book Handbook on Using Administrative Data for Research and Evidence based Policy written by Shawn Cole and published by Abdul Latif Jameel Poverty Action Lab. This book was released on 2021 with total page 618 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Handbook intends to inform Data Providers and researchers on how to provide privacy-protected access to, handle, and analyze administrative data, and to link them with existing resources, such as a database of data use agreements (DUA) and templates. Available publicly, the Handbook will provide guidance on data access requirements and procedures, data privacy, data security, property rights, regulations for public data use, data architecture, data use and storage, cost structure and recovery, ethics and privacy-protection, making data accessible for research, and dissemination for restricted access use. The knowledge base will serve as a resource for all researchers looking to work with administrative data and for Data Providers looking to make such data available.

Download or read book Innovations in Federal Statistics written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2017-04-21 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: Federal government statistics provide critical information to the country and serve a key role in a democracy. For decades, sample surveys with instruments carefully designed for particular data needs have been one of the primary methods for collecting data for federal statistics. However, the costs of conducting such surveys have been increasing while response rates have been declining, and many surveys are not able to fulfill growing demands for more timely information and for more detailed information at state and local levels. Innovations in Federal Statistics examines the opportunities and risks of using government administrative and private sector data sources to foster a paradigm shift in federal statistical programs that would combine diverse data sources in a secure manner to enhance federal statistics. This first publication of a two-part series discusses the challenges faced by the federal statistical system and the foundational elements needed for a new paradigm.

Download or read book Public Policy Analytics written by Ken Steif and published by CRC Press. This book was released on 2021-08-18 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: Public Policy Analytics: Code & Context for Data Science in Government teaches readers how to address complex public policy problems with data and analytics using reproducible methods in R. Each of the eight chapters provides a detailed case study, showing readers: how to develop exploratory indicators; understand ‘spatial process’ and develop spatial analytics; how to develop ‘useful’ predictive analytics; how to convey these outputs to non-technical decision-makers through the medium of data visualization; and why, ultimately, data science and ‘Planning’ are one and the same. A graduate-level introduction to data science, this book will appeal to researchers and data scientists at the intersection of data analytics and public policy, as well as readers who wish to understand how algorithms will affect the future of government.

Download or read book Data Driven Policy Impact Evaluation written by Nuno Crato and published by Springer. This book was released on 2018-10-02 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the light of better and more detailed administrative databases, this open access book provides statistical tools for evaluating the effects of public policies advocated by governments and public institutions. Experts from academia, national statistics offices and various research centers present modern econometric methods for an efficient data-driven policy evaluation and monitoring, assess the causal effects of policy measures and report on best practices of successful data management and usage. Topics include data confidentiality, data linkage, and national practices in policy areas such as public health, education and employment. It offers scholars as well as practitioners from public administrations, consultancy firms and nongovernmental organizations insights into counterfactual impact evaluation methods and the potential of data-based policy and program evaluation.

Download or read book Using Administrative Data for Science and Policy written by Andrew M. Penner and published by Rsf: The Russell Sage Foundati. This book was released on 2019-03-28 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: Note: The catalog copy refers to both issues 2 and 3. In the twenty-first century, administrative data collected by the government, schools, hospitals, and other institutions are essential for effectively managing and evaluating public programs. Yet the U. S. lags behind many other countries when it comes to organizing these data and making linkages across different domains, such as education, health, and the labor market. This double issue of RSF, edited by sociologist Andrew Penner and developmental psychologist Kenneth Dodge, illustrates the tremendous potential of administrative data and provides guidance for the researchers and policymakers. Contributors across multiple disciplines demonstrate how linking disparate sources of administrative data can help us better understand the challenges faced by people in need, thereby improving the reach and efficiency of policy solutions. Several contributors show how databases tracking educational attainment yield new insights into the role of schools in either ameliorating or perpetuating socioeconomic inequalities. Sean Reardon analyzes standardized test scores of roughly 45 million K-12 students nationwide to explore how educational opportunity varies by school districts over time. He finds that while affluent districts typically provide high levels of early childhood learning opportunities, there are some schools in high-poverty districts that do have increased average test scores between third and eighth grade. However, this growth still does not close the large achievement gap between low-and high-socioeconomic-status students. Megan Austin and coauthors, using student-level longitudinal data from Indiana, analyze the effects of school voucher programs on academic achievement and find that students who switch from a public to a private school with a voucher experience significant declines in achievement, particularly in math. Other articles demonstrate how the analysis of administrative data can further our understanding of racial and gender inequality. Janelle Downing and Tim Bruckner link housing foreclosure records and birth records to show that foreclosures and related stresses during the Great Recession contributed to premature births and lower birth weights, particularly for Hispanic mothers and their children. Roberto Fernandez and Brian Rubineau investigate hiring data to explore how network recruitment, or recruitment through employer referrals, affects the "glass ceiling" in the workplace. They show that network recruitment increases women's representation strongly at lower job levels, and to a lesser extent at higher levels. Researchers now have unprecedented access to administrative data. As this issue shows, finding innovative ways to combine multiple data sets can facilitate partnerships between social scientists, administrators, and policymakers and extend our understanding of pressing social issues.

Download or read book Administrative Records for Survey Methodology written by Asaph Young Chun and published by John Wiley & Sons. This book was released on 2021-04-06 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: ADMINISTRATIVE RECORDS FOR SURVEY METHODOLOGY Addresses the international use of administrative records for large-scale surveys, censuses, and other statistical purposes Administrative Records for Survey Methodology is a comprehensive guide to improving the quality, cost-efficiency, and interpretability of surveys and censuses using administrative data research. Contributions from a team of internationally-recognized experts provide practical approaches for integrating administrative data in statistical surveys, and discuss the methodological issues—including concerns of privacy, confidentiality, and legality—involved in collecting and analyzing administrative records. Numerous real-world examples highlight technological and statistical innovations, helping readers gain a better understanding of both fundamental methods and advanced techniques for controlling data quality reducing total survey error. Divided into four sections, the first describes the basics of administrative records research and addresses disclosure limitation and confidentiality protection in linked data. Section two focuses on data quality and linking methodology, covering topics such as quality evaluation, measuring and controlling for non-consent bias, and cleaning and using administrative lists. The third section examines the use of administrative records in surveys and includes case studies of the Swedish register-based census and the administrative records applications used for the US 2020 Census. The book’s final section discusses combining administrative and survey data to improve income measurement, enhancing health surveys with data linkage, and other uses of administrative data in evidence-based policymaking. This state-of-the-art resource: Discusses important administrative data issues and suggests how administrative data can be integrated with more traditional surveys Describes practical uses of administrative records for evidence-driven decisions in both public and private sectors Emphasizes using interdisciplinary methodology and linking administrative records with other data sources Explores techniques to leverage administrative data to improve the survey frame, reduce nonresponse follow-up, assess coverage error, measure linkage non-consent bias, and perform small area estimation. Administrative Records for Survey Methodology is an indispensable reference and guide for statistical researchers and methodologists in academia, industry, and government, particularly census bureaus and national statistical offices, and an ideal supplemental text for undergraduate and graduate courses in data science, survey methodology, data collection, and data analysis methods.

Download or read book Expanding Access to Research Data written by Panel on Data Access for Research Purposes and published by National Academies Press. This book was released on 2005-11-11 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: Policy makers need information about the nation—ranging from trends in the overall economy down to the use by individuals of Medicare—in order to evaluate existing programs and to develop new ones. This information often comes from research based on data about individual people, households, and businesses and other organizations, collected by statistical agencies. The benefit of increasing data accessibility to researchers and analysts is better informed public policy. To realize this benefit, a variety of modes for data access— including restricted access to confidential data and unrestricted access to appropriately altered public-use data—must be used. The risk of expanded access to potentially sensitive data is the increased probability of breaching the confidentiality of the data and, in turn, eroding public confidence in the data collection enterprise. Indeed, the statistical system of the United States ultimately depends on the willingness of the public to provide the information on which research data are based. Expanding Access to Research Data issues guidance on how to more fully exploit these tradeoffs. The panel’s recommendations focus on needs highlighted by legal, social, and technological changes that have occurred during the last decade.

Download or read book Holes in the Safety Net written by Ezra Rosser and published by Cambridge University Press. This book was released on 2019-08 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: An overview of the role played by federalism in anti-poverty policy and in poverty law.

Download or read book Big Data Meets Survey Science written by Craig A. Hill and published by John Wiley & Sons. This book was released on 2020-09-29 with total page 784 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offers a clear view of the utility and place for survey data within the broader Big Data ecosystem This book presents a collection of snapshots from two sides of the Big Data perspective. It assembles an array of tangible tools, methods, and approaches that illustrate how Big Data sources and methods are being used in the survey and social sciences to improve official statistics and estimates for human populations. It also provides examples of how survey data are being used to evaluate and improve the quality of insights derived from Big Data. Big Data Meets Survey Science: A Collection of Innovative Methods shows how survey data and Big Data are used together for the benefit of one or more sources of data, with numerous chapters providing consistent illustrations and examples of survey data enriching the evaluation of Big Data sources. Examples of how machine learning, data mining, and other data science techniques are inserted into virtually every stage of the survey lifecycle are presented. Topics covered include: Total Error Frameworks for Found Data; Performance and Sensitivities of Home Detection on Mobile Phone Data; Assessing Community Wellbeing Using Google Street View and Satellite Imagery; Using Surveys to Build and Assess RBS Religious Flag; and more. Presents groundbreaking survey methods being utilized today in the field of Big Data Explores how machine learning methods can be applied to the design, collection, and analysis of social science data Filled with examples and illustrations that show how survey data benefits Big Data evaluation Covers methods and applications used in combining Big Data with survey statistics Examines regulations as well as ethical and privacy issues Big Data Meets Survey Science: A Collection of Innovative Methods is an excellent book for both the survey and social science communities as they learn to capitalize on this new revolution. It will also appeal to the broader data and computer science communities looking for new areas of application for emerging methods and data sources.

Download or read book Federal Statistics Multiple Data Sources and Privacy Protection written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2018-01-27 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: The environment for obtaining information and providing statistical data for policy makers and the public has changed significantly in the past decade, raising questions about the fundamental survey paradigm that underlies federal statistics. New data sources provide opportunities to develop a new paradigm that can improve timeliness, geographic or subpopulation detail, and statistical efficiency. It also has the potential to reduce the costs of producing federal statistics. The panel's first report described federal statistical agencies' current paradigm, which relies heavily on sample surveys for producing national statistics, and challenges agencies are facing; the legal frameworks and mechanisms for protecting the privacy and confidentiality of statistical data and for providing researchers access to data, and challenges to those frameworks and mechanisms; and statistical agencies access to alternative sources of data. The panel recommended a new approach for federal statistical programs that would combine diverse data sources from government and private sector sources and the creation of a new entity that would provide the foundational elements needed for this new approach, including legal authority to access data and protect privacy. This second of the panel's two reports builds on the analysis, conclusions, and recommendations in the first one. This report assesses alternative methods for implementing a new approach that would combine diverse data sources from government and private sector sources, including describing statistical models for combining data from multiple sources; examining statistical and computer science approaches that foster privacy protections; evaluating frameworks for assessing the quality and utility of alternative data sources; and various models for implementing the recommended new entity. Together, the two reports offer ideas and recommendations to help federal statistical agencies examine and evaluate data from alternative sources and then combine them as appropriate to provide the country with more timely, actionable, and useful information for policy makers, businesses, and individuals.

Download or read book Actionable Intelligence written by John Fantuzzo and published by Springer. This book was released on 2015-11-04 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multifaceted social problems like disaster relief, homelessness, health care, and academic achievement gaps cannot be adequately addressed with isolated and disconnected public service agencies. The Actionable Intelligence for Social Policy model addresses the limitations to traditional approaches to American public administration.

Download or read book Administrative Burden written by Pamela Herd and published by Russell Sage Foundation. This book was released on 2019-01-09 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bureaucracy, confusing paperwork, and complex regulations—or what public policy scholars Pamela Herd and Donald Moynihan call administrative burdens—often introduce delay and frustration into our experiences with government agencies. Administrative burdens diminish the effectiveness of public programs and can even block individuals from fundamental rights like voting. In AdministrativeBurden, Herd and Moynihan document that the administrative burdens citizens regularly encounter in their interactions with the state are not simply unintended byproducts of governance, but the result of deliberate policy choices. Because burdens affect people’s perceptions of government and often perpetuate long-standing inequalities, understanding why administrative burdens exist and how they can be reduced is essential for maintaining a healthy public sector. Through in-depth case studies of federal programs and controversial legislation, the authors show that administrative burdens are the nuts-and-bolts of policy design. Regarding controversial issues such as voter enfranchisement or abortion rights, lawmakers often use administrative burdens to limit access to rights or services they oppose. For instance, legislators have implemented administrative burdens such as complicated registration requirements and strict voter-identification laws to suppress turnout of African American voters. Similarly, the right to an abortion is legally protected, but many states require women seeking abortions to comply with burdens such as mandatory waiting periods, ultrasounds, and scripted counseling. As Herd and Moynihan demonstrate, administrative burdens often disproportionately affect the disadvantaged who lack the resources to deal with the financial and psychological costs of navigating these obstacles. However, policymakers have sometimes reduced administrative burdens or shifted them away from citizens and onto the government. One example is Social Security, which early administrators of the program implemented in the 1930s with the goal of minimizing burdens for beneficiaries. As a result, the take-up rate is about 100 percent because the Social Security Administration keeps track of peoples’ earnings for them, automatically calculates benefits and eligibility, and simply requires an easy online enrollment or visiting one of 1,200 field offices. Making more programs and public services operate this efficiently, the authors argue, requires adoption of a nonpartisan, evidence-based metric for determining when and how to institute administrative burdens, with a bias toward reducing them. By ensuring that the public’s interaction with government is no more onerous than it need be, policymakers and administrators can reduce inequality, boost civic engagement, and build an efficient state that works for all citizens.

Download or read book SAS Programming with Medicare Administrative Data written by Matthew Gillingham and published by SAS Institute. This book was released on 2014-05-01 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: SAS Programming with Medicare Administrative Data is the most comprehensive resource available for using Medicare data with SAS. This book teaches you how to access Medicare data and, more importantly, how to apply this data to your research. Knowing how to use Medicare data to answer common research and business questions is a critical skill for many SAS users. Due to its complexity, Medicare data requires specific programming knowledge in order to be applied accurately. Programmers need to understand the Medicare program in order to interpret and utilize its data. With this book, you'll learn the entire process of programming with Medicare data—from obtaining access to data; to measuring cost, utilization, and quality; to overcoming common challenges. Each chapter includes exercises that challenge you to apply concepts to real-world programming tasks. SAS Programming with Medicare Administrative Data offers beginners a programming project template to follow from beginning to end. It also includes more complex questions and discussions that are appropriate for advanced users. Matthew Gillingham has created a book that is both a foundation for programmers new to Medicare data and a comprehensive reference for experienced programmers. This book is part of the SAS Press program.

Download or read book Big Data and Social Science written by Ian Foster and published by CRC Press. This book was released on 2016-08-10 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: Both Traditional Students and Working Professionals Acquire the Skills to Analyze Social Problems. Big Data and Social Science: A Practical Guide to Methods and Tools shows how to apply data science to real-world problems in both research and the practice. The book provides practical guidance on combining methods and tools from computer science, statistics, and social science. This concrete approach is illustrated throughout using an important national problem, the quantitative study of innovation. The text draws on the expertise of prominent leaders in statistics, the social sciences, data science, and computer science to teach students how to use modern social science research principles as well as the best analytical and computational tools. It uses a real-world challenge to introduce how these tools are used to identify and capture appropriate data, apply data science models and tools to that data, and recognize and respond to data errors and limitations. For more information, including sample chapters and news, please visit the author's website.

Download or read book Big Data for Twenty First Century Economic Statistics written by Katharine G. Abraham and published by University of Chicago Press. This book was released on 2022-03-11 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction.Big data for twenty-first-century economic statistics: the future is now /Katharine G. Abraham, Ron S. Jarmin, Brian C. Moyer, and Matthew D. Shapiro --Toward comprehensive use of big data in economic statistics.Reengineering key national economic indicators /Gabriel Ehrlich, John Haltiwanger, Ron S. Jarmin, David Johnson, and Matthew D. Shapiro ;Big data in the US consumer price index: experiences and plans /Crystal G. Konny, Brendan K. Williams, and David M. Friedman ;Improving retail trade data products using alternative data sources /Rebecca J. Hutchinson ;From transaction data to economic statistics: constructing real-time, high-frequency, geographic measures of consumer spending /Aditya Aladangady, Shifrah Aron-Dine, Wendy Dunn, Laura Feiveson, Paul Lengermann, and Claudia Sahm ;Improving the accuracy of economic measurement with multiple data sources: the case of payroll employment data /Tomaz Cajner, Leland D. Crane, Ryan A. Decker, Adrian Hamins-Puertolas, and Christopher Kurz --Uses of big data for classification.Transforming naturally occurring text data into economic statistics: the case of online job vacancy postings /Arthur Turrell, Bradley Speigner, Jyldyz Djumalieva, David Copple, and James Thurgood ;Automating response evaluation for franchising questions on the 2017 economic census /Joseph Staudt, Yifang Wei, Lisa Singh, Shawn Klimek, J. Bradford Jensen, and Andrew Baer ;Using public data to generate industrial classification codes /John Cuffe, Sudip Bhattacharjee, Ugochukwu Etudo, Justin C. Smith, Nevada Basdeo, Nathaniel Burbank, and Shawn R. Roberts --Uses of big data for sectoral measurement.Nowcasting the local economy: using Yelp data to measure economic activity /Edward L. Glaeser, Hyunjin Kim, and Michael Luca ;Unit values for import and export price indexes: a proof of concept /Don A. Fast and Susan E. Fleck ;Quantifying productivity growth in the delivery of important episodes of care within the Medicare program using insurance claims and administrative data /John A. Romley, Abe Dunn, Dana Goldman, and Neeraj Sood ;Valuing housing services in the era of big data: a user cost approach leveraging Zillow microdata /Marina Gindelsky, Jeremy G. Moulton, and Scott A. Wentland --Methodological challenges and advances.Off to the races: a comparison of machine learning and alternative data for predicting economic indicators /Jeffrey C. Chen, Abe Dunn, Kyle Hood, Alexander Driessen, and Andrea Batch ;A machine learning analysis of seasonal and cyclical sales in weekly scanner data /Rishab Guha and Serena Ng ;Estimating the benefits of new products /W. Erwin Diewert and Robert C. Feenstra.

Download or read book Improving the Measurement of Consumer Expenditures written by Christopher D. Carroll and published by University of Chicago Press. This book was released on 2015-06-16 with total page 517 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robust and reliable measures of consumer expenditures are essential for analyzing aggregate economic activity and for measuring differences in household circumstances. Many countries, including the United States, are embarking on ambitious projects to redesign surveys of consumer expenditures, with the goal of better capturing economic heterogeneity. This is an appropriate time to examine the way consumer expenditures are currently measured, and the challenges and opportunities that alternative approaches might present. Improving the Measurement of Consumer Expenditures begins with a comprehensive review of current methodologies for collecting consumer expenditure data. Subsequent chapters highlight the range of different objectives that expenditure surveys may satisfy, compare the data available from consumer expenditure surveys with that available from other sources, and describe how the United States’s current survey practices compare with those in other nations.

Download or read book Administrative Records for Survey Methodology written by Asaph Young Chun and published by John Wiley & Sons. This book was released on 2021-02-18 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: ADMINISTRATIVE RECORDS FOR SURVEY METHODOLOGY Addresses the international use of administrative records for large-scale surveys, censuses, and other statistical purposes Administrative Records for Survey Methodology is a comprehensive guide to improving the quality, cost-efficiency, and interpretability of surveys and censuses using administrative data research. Contributions from a team of internationally-recognized experts provide practical approaches for integrating administrative data in statistical surveys, and discuss the methodological issues—including concerns of privacy, confidentiality, and legality—involved in collecting and analyzing administrative records. Numerous real-world examples highlight technological and statistical innovations, helping readers gain a better understanding of both fundamental methods and advanced techniques for controlling data quality reducing total survey error. Divided into four sections, the first describes the basics of administrative records research and addresses disclosure limitation and confidentiality protection in linked data. Section two focuses on data quality and linking methodology, covering topics such as quality evaluation, measuring and controlling for non-consent bias, and cleaning and using administrative lists. The third section examines the use of administrative records in surveys and includes case studies of the Swedish register-based census and the administrative records applications used for the US 2020 Census. The book’s final section discusses combining administrative and survey data to improve income measurement, enhancing health surveys with data linkage, and other uses of administrative data in evidence-based policymaking. This state-of-the-art resource: Discusses important administrative data issues and suggests how administrative data can be integrated with more traditional surveys Describes practical uses of administrative records for evidence-driven decisions in both public and private sectors Emphasizes using interdisciplinary methodology and linking administrative records with other data sources Explores techniques to leverage administrative data to improve the survey frame, reduce nonresponse follow-up, assess coverage error, measure linkage non-consent bias, and perform small area estimation. Administrative Records for Survey Methodology is an indispensable reference and guide for statistical researchers and methodologists in academia, industry, and government, particularly census bureaus and national statistical offices, and an ideal supplemental text for undergraduate and graduate courses in data science, survey methodology, data collection, and data analysis methods.