High-quality and Timely Statistics
Author | : Marco Mingione |
Publisher | : Springer Nature |
Total Pages | : 274 |
Release | : |
Genre | : |
ISBN | : 3031636309 |
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Author | : Marco Mingione |
Publisher | : Springer Nature |
Total Pages | : 274 |
Release | : |
Genre | : |
ISBN | : 3031636309 |
Author | : National Academies of Sciences, Engineering, and Medicine |
Publisher | : National Academies Press |
Total Pages | : 151 |
Release | : 2017-04-21 |
Genre | : Social Science |
ISBN | : 030945428X |
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.
Author | : Tonio Di Battista |
Publisher | : Springer |
Total Pages | : 222 |
Release | : 2016-10-11 |
Genre | : Mathematics |
ISBN | : 3319440934 |
This book brings together selected peer-reviewed contributions from various research fields in statistics, and highlights the diverse approaches and analyses related to real-life phenomena. Major topics covered in this volume include, but are not limited to, bayesian inference, likelihood approach, pseudo-likelihoods, regression, time series, and data analysis as well as applications in the life and social sciences. The software packages used in the papers are made available by the authors. This book is a result of the 47th Scientific Meeting of the Italian Statistical Society, held at the University of Cagliari, Italy, in 2014.
Author | : National Academies of Sciences, Engineering, and Medicine |
Publisher | : National Academies Press |
Total Pages | : 195 |
Release | : 2018-01-27 |
Genre | : Social Science |
ISBN | : 0309465370 |
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.
Author | : Regional Office for the Western Pacific World Health Organization |
Publisher | : WHOWPRO |
Total Pages | : 80 |
Release | : 2003-01-01 |
Genre | : Language Arts & Disciplines |
ISBN | : 9789290610502 |
This publication provides a set of guidelines for health care workers, health information managers and administrators to help them focus on improving the timeliness, accuracy and reliability of health care data. They describe key activities and tasks to be considered when addressing the question of data quality in health care, regardless of the setting or size of organisations.
Author | : Paul P. Biemer |
Publisher | : John Wiley & Sons |
Total Pages | : 305 |
Release | : 2011-03-16 |
Genre | : Mathematics |
ISBN | : 1118099575 |
Combining theoretical, methodological, and practical aspects, Latent Class Analysis of Survey Error successfully guides readers through the accurate interpretation of survey results for quality evaluation and improvement. This book is a comprehensive resource on the key statistical tools and techniques employed during the modeling and estimation of classification errors, featuring a special focus on both latent class analysis (LCA) techniques and models for categorical data from complex sample surveys. Drawing from his extensive experience in the field of survey methodology, the author examines early models for survey measurement error and identifies their similarities and differences as well as their strengths and weaknesses. Subsequent chapters treat topics related to modeling, estimating, and reducing errors in surveys, including: Measurement error modeling forcategorical data The Hui-Walter model and othermethods for two indicators The EM algorithm and its role in latentclass model parameter estimation Latent class models for three ormore indicators Techniques for interpretation of modelparameter estimates Advanced topics in LCA, including sparse data, boundary values, unidentifiability, and local maxima Special considerations for analyzing datafrom clustered and unequal probability samples with nonresponse The current state of LCA and MLCA (multilevel latent class analysis), and an insightful discussion on areas for further research Throughout the book, more than 100 real-world examples describe the presented methods in detail, and readers are guided through the use of lEM software to replicate the presented analyses. Appendices supply a primer on categorical data analysis, and a related Web site houses the lEM software. Extensively class-tested to ensure an accessible presentation, Latent Class Analysis of Survey Error is an excellent book for courses on measurement error and survey methodology at the graduate level. The book also serves as a valuable reference for researchers and practitioners working in business, government, and the social sciences who develop, implement, or evaluate surveys.
Author | : United States. Congress. House. Committee on Appropriations. Subcommittee on the Departments of Labor, Health and Human Services, Education, and Related Agencies |
Publisher | : |
Total Pages | : 2224 |
Release | : 2006 |
Genre | : United States |
ISBN | : |
Author | : IBP USA |
Publisher | : Lulu.com |
Total Pages | : 266 |
Release | : 2013-08 |
Genre | : Business & Economics |
ISBN | : 1433068885 |
2011 Updated Reprint. Updated Annually. US Aviation Industry Strategic Developments and Statistics Yearbook
Author | : OECD |
Publisher | : OECD Publishing |
Total Pages | : 143 |
Release | : 2024-09-11 |
Genre | : |
ISBN | : 9264423060 |
Growth has rebounded from the pandemic and the energy crisis, despite the 2023 earthquake and droughts. Morocco has benefitted from a stable macroeconomic regime and the deficit is narrowing following the pandemic and energy crisis with the government debt ratio is around 70% of GDP. Morocco has embarked on major reforms to encourage investment and to extend health insurance and social protection, but a stronger convergence path will be needed to achieve the vision in the New Development Model. Morocco’s labour productivity gap with the frontier remains large, although it has narrowed. FDI flows have been strong, but domestic private investment is low, and Moroccan firms face obstacles in performing better. Morocco’s young population is an asset, but the labour market suffers from high youth unemployment and low female employment. Emigration is significant. Widespread informality leads to low wages, poor-quality jobs and weak skills. Morocco has made an ambitious commitment to reduce carbon emissions by 45% by 2030 compared to 2010 and to net zero by 2050, benefiting from the country’s potential for renewables-based generation. The country is vulnerable to climate change and already faces significant water stress. SPECIAL FEATURES: BOOSTING INVESTMENT, FIRM PERFORMANCE AND PRODUCTIVITY; CREATING MORE AND BETTER JOBS
Author | : Kathleen Beegle |
Publisher | : World Bank Publications |
Total Pages | : 278 |
Release | : 2016-03-10 |
Genre | : Business & Economics |
ISBN | : 1464807248 |
Perceptions of Africa have changed dramatically. Viewed as a continent of wars, famines and entrenched poverty in the late 1990s, there is now a focus on “Africa rising†? and an “African 21st century.†? Two decades of unprecedented economic growth in Africa should have brought substantial improvements in well-being. Whether or not they did, remains unclear given the poor quality of the data, the nature of the growth process (especially the role of natural resources), conflicts that affect part of the region, and high population growth. Poverty in a Rising Africa documents the data challenges and systematically reviews the evidence on poverty from monetary and nonmonetary perspectives, as well as a focus on dimensions of inequality. Chapter 1 maps out the availability and quality of the data needed to track monetary poverty, reflects on the governance and political processes that underpin the current situation with respect to data production, and describes some approaches to addressing the data gaps. Chapter 2 evaluates the robustness of the estimates of poverty in Africa. It concludes that poverty reduction in Africa may be slightly greater than traditional estimates suggest, although even the most optimistic estimates of poverty reduction imply that more people lived in poverty in 2012 than in 1990. A broad-stroke profile of poverty and trends in poverty in the region is presented. Chapter 3 broadens the view of poverty by considering nonmonetary dimensions of well-being, such as education, health, and freedom, using Sen's (1985) capabilities and functioning approach. While progress has been made in a number of these areas, levels remain stubbornly low. Chapter 4 reviews the evidence on inequality in Africa. It looks not only at patterns of monetary inequality in Africa but also other dimensions, including inequality of opportunity, intergenerational mobility in occupation and education, and extreme wealth in Africa.