On the Inaccuracies of Economic Observations: Why and How We Could Do Better by

Description: FREE SHIPPING UK WIDE On the Inaccuracies of Economic Observations by Peter A.G. van Bergeijk This informative book reveals the pervasive nature of large inaccuracies in economic statistics. Drawing on numerous real-world examples including case studies from the COVID-19 pandemic, Peter van Bergeijk presents profound insights into how downplaying these errors undermines the scientific rigour of economic analysis, and outlines how to manage uncertainty in economic analysis moving forward.Global in scope, the book reflects on the current problematic practices within economics, including measurement errors in the analysis of GDP, inflation, trade and employment. Chapters examine key case studies from advanced and developing countries, detailing how the persistence of measurement error impacted the assessment of these events at the time and in retrospect. The author further identifies the best practices for the assessment of error in statistics and equips the reader with the tools to self-assess inaccuracies in economic data in a way that improves evidence-based analysis and decision-making processes.Championing a fresh perspective on econometrics, this book is vital for scholars and students of economics, data science and research methods. Additionally, policy analysts and data producers will value this books perspective on the reliability of their data and its provision of problem-solving strategies. FORMAT Hardcover CONDITION Brand New Author Biography Peter A.G. van Bergeijk, Professor of International Economics and Macroeconomics, International Institute of Social Studies, Erasmus University, The Hague, the Netherlands Table of Contents Contents:Preface1 Introduction: measurement error in economics2 Measuring measurement error3 The pervasiveness of measurement error4 Did the Great Recession happen?5 Lockdown statistics6 Dealing with inaccuracy7 ConclusionsReferences Review A thought-provoking reminder that measuring our economy is not an exact science. This book is a compelling invitation to economists and statisticians to collaborate and increase transparency about the size of measurement error in economic data, so that these data are used responsibly for analysis and policy making. -- Fabienne Fortanier, Director of Statistics, De Nederlandsche Bank, The NetherlandsHomo numerus needs to be tamed. It is not that quantitative analysis should be abandoned, only that precise data allied with precise language and absent of caveats can mislead. This book provides ample evidence and offers guidance on addressing these issues, challenging the myth that measurement error is an exclusively Global South problem. This important antidote goes beyond economics of relevance to public policy analysis generally. -- James Mitchell, University of Edinburgh, UKIn times when disinformation damages the functioning of democracies, a book about honest – that is, scientific – communication about economic statistics is very welcome. This book invites producers and users of economic data to be more transparent about the inevitable inaccuracies in their figures and how you can report these inaccuracies. -- Marcel Boumans, Utrecht University, the Netherlands Details ISBN1802207848 Year 2024 ISBN-13 9781802207842 Format Hardcover Subtitle Why and How We Could Do Better Country of Publication United Kingdom Publisher Edward Elgar Publishing Ltd Imprint Edward Elgar Publishing Ltd Place of Publication Cheltenham Author Peter A.G. van Bergeijk Audience Professional & Vocational Pages 228 Publication Date 2024-06-21 UK Release Date 2024-06-21 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! 30 DAY RETURN POLICY No questions asked, 30 day returns! FREE DELIVERY No matter where you are in the UK, delivery is free. SECURE PAYMENT Peace of mind by paying through PayPal and eBay Buyer Protection TheNile_Item_ID:161859460;

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