How do you count a nation of more than 250 million peopleâ€"many of whom are on the move and some of whom may not want to be counted? How can you obtain accurate population information for apportioning the House of Representatives, allocating government resources, and characterizing who we are and how we live? This book attempts to answer these questions by reviewing the recent census operations and ongoing research and by offering detailed proposals for ways to improve the census.

One of Choice Magazine's Outstanding Academic Books of 2000 For those interested in understanding the historical and scientific context of the census adjustment controversy, Who Counts? is absolutely essential reading. —Science Ever since the founding fathers authorized a national headcount as the means of apportioning seats in the federal legislature, the decennial census has been a political battleground. Political power, and more recently the allocation of federal resources, depend directly upon who is counted and who is left out. Who Counts? is the story of the lawsuits, congressional hearings, and bureaucratic intrigues surrounding the 1990 census. These controversies formed largely around a single vexing question: should the method of conducting the census be modified in order to rectify the demonstrated undercount of poor urban minorities? But they also stemmed from a more general debate about the methods required to count an ever more diverse and mobile population of over two hundred million. The responses to these questions repeatedly pitted the innovations of statisticians and demographers against objections that their attempts to alter traditional methods may be flawed and even unconstitutional. Who Counts? offers a detailed review of the preparation, implementation, and aftermath of the last three censuses. It recounts the growing criticisms of innaccuracy and undercounting, and the work to develop new enumeration strategies. The party shifts that followed national elections played an increasingly important role in the politization of the census, as the Department of Commerce asserted growing authority over the scientific endeavors of the Census Bureau. At the same time, each decade saw more city and state governments and private groups bringing suit to challenge census methodology and results. Who Counts? tracks the legal course that began in 1988, when a coalition led by New York City first sued to institute new statistical procedures in response to an alleged undercount of urban inhabitants. The challenge of accurately classifying an increasingly mixed population further threatens the legitimacy of the census, and Who Counts? investigates the difficulties of gaining unambiguous measurements of race and ethnicity, and the proposal that the race question be eliminated in favor of ethnic origin. Who Counts? concludes with a discussion of the proposed census design for 2000, as well as the implications of population counts on the composition and size of Congress. This volume reveals in extraordinary detail the interplay of law, politics, and science that propel the ongoing census debate, a debate whose outcome will have a tremendous impact on the distribution of political power and economic resources among the nation's communities. A Volume in the Russell Sage Foundation Census Series

In provocative terms that push the envelope of technical, administrative, and legal capabilities, Swanson and Walashek propose a re-vamped US census based neither on the current system, self-enumeration, nor its predecessor, door-to-door canvassing. Instead, they propose that it be built on a combination of four elements: (1) administrative records; (2) the continuously updated Master Address File; (3) survey data; and (4) modeling and imputation techniques. They use “Census-Enhanced Master Address File (CEMAF) as a descriptive term for their proposal, which is based on four principles and includes a proposal for an independent Census Bureau. They argue that evidence suggests that the methods used to conduct traditional census counts may be at the end of their useful working lives, as evidenced by increasing costs and declining response rates. Some of their ideas will seem farfetched. However, Swanson and Walashek believe this is the time to discuss radical proposals as governments re-examine the utility of traditional census counts and consider reductions, as is the case in Canada and England. This SpringerBriefs should be on the reading list of staff in statistical agencies grappling with rising costs and declining response rates, as well as census stakeholders concerned about costs, accuracy, and census utility.

In order to assess the coverage and the quality of the census data of the 1991 census, the Census Validation Survey (CVS) was carried out by the Social Survey Division of OPCS. The survey produced estimates of household spaces, households, and persons together with 95 percent confidence intervals. The CVS estimated the census undercount from six different samples, five of which were drawn from the census records and hence dependent. From the comparison between 1991 census results and demographic estimates, it was felt that CVS failed to estimate the true undercount figure of the 1991 census. Moreover, the CVS methodology was unable to estimate the undercount by age, sex, race, and geographic categories. This book presents methods for estimating population by age, sex, and race, as well as geographic categories. Three different estimators, Chandra-Sekar, Greenfield, and El-Sayed Nour, using information from two different sources (census and survey), are discussed. Adjustment factors are generally computed as the ratios of these estimates to the census counts. Average estimates from these three estimators may produce better adjustment factors. Models to produce more accurate estimates of the size of the closed population by using a second sample by matching with census and survey are also discussed. The models we present provide a mechanism for separating out the dependence between census and survey data induced by individual heterogeneity. The resulting data take the form of 2x2x2 table, in which only one of the eight cells is unknown. Using log-linear quasi-symmetry models we describe how to estimate the expected values of the observable cells of this table. To estimate the populations for local authorities (LA), a regression method is presented. The resulting estimates are found to be more accurate than the CVS estimates and were also close to the 1991 demographic estimates. We describe a methodology for estimating the accuracy of the dual systems estimates of population with the help of hypothetical data. The methodology is based on decompositions of the total error into components, such as sampling error, matching error, and other nonsampling errors. An imputation method and some recommendations are also discussed.

As digital technologies are expanding the power and reach of research, they are also raising complex issues. These include complications in ensuring the validity of research data; standards that do not keep pace with the high rate of innovation; restrictions on data sharing that reduce the ability of researchers to verify results and build on previous research; and huge increases in the amount of data being generated, creating severe challenges in preserving that data for long-term use. Ensuring the Integrity, Accessibility, and Stewardship of Research Data in the Digital Age examines the consequences of the changes affecting research data with respect to three issues - integrity, accessibility, and stewardship-and finds a need for a new approach to the design and the management of research projects. The report recommends that all researchers receive appropriate training in the management of research data, and calls on researchers to make all research data, methods, and other information underlying results publicly accessible in a timely manner. The book also sees the stewardship of research data as a critical long-term task for the research enterprise and its stakeholders. Individual researchers, research institutions, research sponsors, professional societies, and journals involved in scientific, engineering, and medical research will find this book an essential guide to the principles affecting research data in the digital age.