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Author: India. Central Statistical Organisation
Publisher:
ISBN:
Category : India
Languages : en
Pages : 56
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Author: India. Central Statistical Organisation
Publisher:
ISBN:
Category : India
Languages : en
Pages : 56
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Book Description
Author:
Publisher:
ISBN: 9789276536000
Category :
Languages : en
Pages : 0
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Book Description
Official statistics are statistics provided by national and international statistical bodies as a public good, to everybody and for free. They are objective and impartial and comply with internationally agreed quality standards. They aim at providing high-quality information for policymakers and the citizens. Official statistics are essential for effective decision-making over a wide range of areas, from economic development to environmental measures, from social policies to emergency response and from public health to public services. They support informed decision-making and the general knowledge of wider society, evidence-based public debate and a democratic process that allows all stakeholders to participate on an equal footing. And they are essential for businesses' day-to-day operations and investment decisions. In short, official statistics are indispensable to well-functioning economies and democracies. Recent crises - from the financial crisis to the COVID-19 pandemic, and now the war in Ukraine - have shown that there is no room for complacency. In our rapidly changing and increasingly data-driven society, there is a growing demand for better, more up-to-date and more detailed statistics. Providers of official statistics must therefore innovate and equip open societies with the tools they need to respond to an increasingly uncertain environment and the many associated challenges and opportunities. For instance, serious data gaps emerged during the 2008-2009 financial crisis and the COVID-19 pandemic. NextGenerationEU, the European Green Deal and other flagship EU policy programmes involve ambitious changes such as the green transition, the digital revolution and environmental challenges. Radical advances must be made in data supply and use, together with major investment in data production, data quality and metadata. The widening gap between what is expected from official statistics and what is currently delivered in practice requires vision, energy and urgent action. The world of official statistics is therefore undergoing profound transformation at national, EU and global level. The EU is playing a leading role in this context. It is a global leader in the promotion of personal data protection standards. It has undertaken a wide range of measures to upgrade its technological infrastructure. It has set ambitious, evidence-based and data-driven goals and targets in the areas of climate change and sustainable development, economic growth and stability, employment and social inclusion, and energy, food and health security. The European strategy for data has already produced a number of legislative acts including the Open Data Directive, the Data Governance Act, the Digital Markets Act and the Digital Services Act. These will soon be joined by other legislation such as the Data Act. The challenges and opportunities considered in this report lie at the core of the EU's approach for developing official statistics. Statistics are still in practice largely based on data collected by surveys and administrative records rather than on the wealth of data which is held by private businesses and civil society organisations and which is powering the digital economy. The current data revolution provides unprecedented opportunities to collect, analyse and make use of new sources of data that can empower our economies and societies, improve decision-making and bring benefits for all members of society.
Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 0309465370
Category : Social Science
Languages : en
Pages : 195
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Book Description
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: United States. President's Commission on Federal Statistics
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 296
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Author: Ben Kiregyera
Publisher: AFRICAN SUN MeDIA
ISBN: 1920689567
Category : Social Science
Languages : en
Pages : 516
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The book presents a nuanced narrative about statistical development in Africa since around the time of independence when emerging states needed statistics mainly to support their planning processes. It highlights challenges faced then, some of which have persisted, including institutional, organizational and technical challenges. These challenges manifest themselves in countries with different degrees of severity and are quite severe in post-conflict countries. Key statistical programmes to support statistical development in Africa in the 1970s, 1980s and 1990s are presented
Author: United States. Congress. Joint Committee on the Economic Report
Publisher:
ISBN:
Category : United States
Languages : en
Pages : 22
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Bureau of Budget commented on costs of expanded statistical programs.
Author: Devendra B. Gupta
Publisher: Delhi : Ranjit Printers & Publishers, 1970 [c1969]
ISBN:
Category : India
Languages : en
Pages : 366
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Author: Joel Best
Publisher: Univ of California Press
ISBN: 0520953517
Category : Social Science
Languages : en
Pages : 218
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Book Description
Here, by popular demand, is the updated edition to Joel Best's classic guide to understanding how numbers can confuse us. In his new afterword, Best uses examples from recent policy debates to reflect on the challenges to improving statistical literacy. Since its publication ten years ago, Damned Lies and Statistics has emerged as the go-to handbook for spotting bad statistics and learning to think critically about these influential numbers.
Author: Katharine G. Abraham
Publisher: University of Chicago Press
ISBN: 022680125X
Category : Business & Economics
Languages : en
Pages : 502
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Book Description
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.
Author: United States. Office of Management and Budget. Statistical Policy Division
Publisher:
ISBN:
Category : United States
Languages : en
Pages : 1042
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