Handbook On Using Administrative Data For Research And Evidence Based Policy

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.

Today’s unprecedented growth of data and their ubiquity in our lives are signs that the data revolution is transforming the world. And yet much of the value of data remains untapped. Data collected for one purpose have the potential to generate economic and social value in applications far beyond those originally anticipated. But many barriers stand in the way, ranging from misaligned incentives and incompatible data systems to a fundamental lack of trust. World Development Report 2021: Data for Better Lives explores the tremendous potential of the changing data landscape to improve the lives of poor people, while also acknowledging its potential to open back doors that can harm individuals, businesses, and societies. To address this tension between the helpful and harmful potential of data, this Report calls for a new social contract that enables the use and reuse of data to create economic and social value, ensures equitable access to that value, and fosters trust that data will not be misused in harmful ways. This Report begins by assessing how better use and reuse of data can enhance the design of public policies, programs, and service delivery, as well as improve market efficiency and job creation through private sector growth. Because better data governance is key to realizing this value, the Report then looks at how infrastructure policy, data regulation, economic policies, and institutional capabilities enable the sharing of data for their economic and social benefits, while safeguarding against harmful outcomes. The Report concludes by pulling together the pieces and offering an aspirational vision of an integrated national data system that would deliver on the promise of producing high-quality data and making them accessible in a way that promotes their safe use and reuse. By examining these opportunities and challenges, the Report shows how data can benefit the lives of all people, particularly poor people in low- and middle-income countries. .

The internationally recognised methodology for collecting and using R&D statistics, the OECD's Frascati Manual is an essential tool for statisticians and science and innovation policy makers worldwide. It includes definitions of basic concepts, data collection guidelines, and classifications ...

The Oxford Handbook of Evidence-based Management shows how leaders and managers can make effective use of best available evidence in the decisions they make — and what educators and researchers need to do to help them come to the right solution.

The Government Analytics Handbook presents frontier evidence and practitioner insights on how to leverage data to strengthen public administration. Covering a range of microdata sources—such as administrative data and public servant surveys—as well as tools and resources for undertaking the analytics, it transforms the ability of governments to take a data-informed approach to diagnose and improve how public organizations work. Readers can order the book as a single volume in print or digital formats, or visit worldbank.org/governmentanalytics for modular access and additional hands-on tools. The Handbook is a must-have for practitioners, policy makers, academics, and government agencies. “Governments have long been assessed using aggregate governance indicators, giving us little insight into their diversity and how they can practically be improved. This pioneering handbook shows how microdata can be used to give scholars and practitioners granular and real insights into how states work, and practical guidance on the process of state-building.†? —Francis Fukuyama, Stanford University, author of State-Building: Governance and World Order in the 21st Century “The Government Analytics Handbook is the most comprehensive work on practically building government administration I have ever seen, helping practitioners to change public administration for the better.†? —Francisco Gaetani, Special Secretary for State Transformation, Government of Brazil “The machinery of the state is central to a country’s prosperity. This handbook provides insights and methodological tools for creating a better shared understanding of the realities of a state, to support the redesign of institutions, and improve the quality of public administration.†? —James Robinson, University of Chicago, coauthor of Why Nations Fail

This is part of a ten volume set of reference books offering authoritative and engaging critical overviews of the state of political science. This work explores the business end of politics, where theory meets practice in the pursuit of public good.

This open access handbook describes foundational issues, methodological approaches and examples on how to analyse and model data using Computational Social Science (CSS) for policy support. Up to now, CSS studies have mostly developed on a small, proof-of concept, scale that prevented from unleashing its potential to provide systematic impact to the policy cycle, as well as from improving the understanding of societal problems to the definition, assessment, evaluation, and monitoring of policies. The aim of this handbook is to fill this gap by exploring ways to analyse and model data for policy support, and to advocate the adoption of CSS solutions for policy by raising awareness of existing implementations of CSS in policy-relevant fields. To this end, the book explores applications of computational methods and approaches like big data, machine learning, statistical learning, sentiment analysis, text mining, systems modelling, and network analysis to different problems in the social sciences. The book is structured into three Parts: the first chapters on foundational issues open with an exposition and description of key policymaking areas where CSS can provide insights and information. In detail, the chapters cover public policy, governance, data justice and other ethical issues. Part two consists of chapters on methodological aspects dealing with issues such as the modelling of complexity, natural language processing, validity and lack of data, and innovation in official statistics. Finally, Part three describes the application of computational methods, challenges and opportunities in various social science areas, including economics, sociology, demography, migration, climate change, epidemiology, geography, and disaster management. The target audience of the book spans from the scientific community engaged in CSS research to policymakers interested in evidence-informed policy interventions, but also includes private companies holding data that can be used to study social sciences and are interested in achieving a policy impact.

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.