Statistics of Income


Book Description




Studies of Welfare Populations


Book Description

This volume, a companion to Evaluating Welfare Reform in an Era of Transition, is a collection of papers on data collection issues for welfare and low-income populations. The papers on survey issues cover methods for designing surveys taking into account nonresponse in advance, obtaining high response rates in telephone surveys, obtaining high response rates in in-person surveys, the effects of incentive payments, methods for adjusting for missing data in surveys of low-income populations, and measurement error issues in surveys, with a special focus on recall error. The papers on administrative data cover the issues of matching and cleaning, access and confidentiality, problems in measuring employment and income, and the availability of data on children. The papers on welfare leavers and welfare dynamics cover a comparison of existing welfare leaver studies, data from the state of Wisconsin on welfare leavers, and data from the National Longitudinal Survey of Youth used to construct measures of heterogeneity in the welfare population based on the recipient's own welfare experience. A final paper discusses qualitative data.







Administrative Records for Survey Methodology


Book Description

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.







Computer Assisted Survey Information Collection


Book Description

The latest computer assisted methods for survey research Computer assisted survey information collection (CASIC) methods arerapidly replacing traditional "paper and pencil" survey procedures.Researchers now apply computer technologies at every step of thesurvey process, from automating interviews and computerizing datacollection to data capture and preparation. CASIC techniques arereshaping today's survey research and methodology --and redefiningtomorrow's. Computer Assisted Survey Information Collection is the mostup-to-date and authoritative resource available on CASIC methodsand issues. Its comprehensive treatment provides the scope neededto evaluate past development and implementation of CASIC designs,to anticipate its future directions, and to identify new areas forresearch and development. Written in an array of evidentiary stylesby more than 60 leading CASIC practitioners from numerousdisciplines, this coherently organized volume: * Covers CASIC development and its integration into existingdesigns and organizations * Discusses instrument development and design * Examines survey design issues, including the incorporation ofexperiments * Discusses case management of automated survey systems * Evaluates training and supervision of computer assistedinterviewers * Reviews self-administered surveys, including optically scannablemail surveys * Considers emerging technologies, such as voice recognition,pen-CASIC, and the Web as a data collection tool. Supplemented with copious tables, figures, and references as wellas an extensive glossary, Computer Assisted Survey InformationCollection provides a solid foundation in CASIC for seasonedresearch-survey practitioners and graduate students across a broadspectrum of social science disciplines.




Conference on Statistical Science Honouring the Bicentennial of Stefano Franscini’s Birth


Book Description

The Conference on "Statistical Science", held in Monte Verita (Switzerland) on 18/20 November 1996, was intended to honour the memory of Stefano Franscini at the occasion of the bicentennial of his birth (1796-1996). It was jointly organized by the Swiss Federal Institute of Technology in Lausanne, the Swiss Federal Statistical Office and the University of Geneva. These proceedings gather a selected collection of contributions presented by statisticians from universities, research institutes and national statistical services of Europe, North America and Asia. Part I focuses on a historical appreciation of Stefano Franscini's life and work. Authors develop a deep analysis of the historical context, the political action, the scientific achievement and the intellectual legacy of the founding father of Swiss official statistics. The reader thus has an opportunity to appreciate the various facets of this exceptional man who not only drew the first comprehensive statistical portrait of Switzerland but also established the foundations for modem educational and political institutions. Part II groups papers on the relationship between statistical science and official statistics. Authors analyse the historical background, current context and new perspectives of co-operation between scientific research and official statistical services. They show how the relationship between both partners has evolved over the past decades, stressing certain prerequisites and opportunities for effective of rigourous interaction between academia's scientific activity and the production statistical information.




Coverage Measurement in the 2010 Census


Book Description

The census coverage measurement programs have historically addressed three primary objectives: (1) to inform users about the quality of the census counts; (2) to help identify sources of error to improve census taking, and (3) to provide alternative counts based on information from the coverage measurement program. In planning the 1990 and 2000 censuses, the main objective was to produce alternative counts based on the measurement of net coverage error. For the 2010 census coverage measurement program, the Census Bureau will deemphasize that goal, and is instead planning to focus on the second goal of improving census processes. This book, which details the findings of the National Research Council's Panel on Coverage Evaluation and Correlation Bias, strongly supports the Census Bureau's change in goal. However, the panel finds that the current plans for data collection, data analysis, and data products are still too oriented towards measurement of net coverage error to fully exploit this new focus. Although the Census Bureau has taken several important steps to revise data collection and analysis procedures and data products, this book recommends further steps to enhance the value of coverage measurement for the improvement of future census processes.