Description: How Data Quality Affects our Understanding of the Earnings Distribution by Reza Che Daniels Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description This open access book demonstrates how data quality issues affect all surveys and proposes methods that can be utilised to deal with the observable components of survey error in a statistically sound manner. Publisher Description This open access book demonstrates how data quality issues affect all surveys and proposes methods that can be utilised to deal with the observable components of survey error in a statistically sound manner. This book begins by profiling the post-Apartheid period in South Africas history when the sampling frame and survey methodology for household surveys was undergoing periodic changes due to the changing geopolitical landscape in the country. This book profiles how different components of error had disproportionate magnitudes in different survey years, including coverage error, sampling error, nonresponse error, measurement error, processing error and adjustment error. The parameters of interest concern the earnings distribution, but despite this outcome of interest, the discussion is generalizable to any question in a random sample survey of households or firms.This book then investigates questionnaire design and item nonresponse by building a response propensity modelfor the employee income question in two South African labour market surveys: the October Household Survey (OHS, 1997-1999) and the Labour Force Survey (LFS, 2000-2003). This time period isolates a period of changing questionnaire design for the income question. Finally, this book is concerned with how to employee income data with a mixture of continuous data, bounded response data and nonresponse. A variable with this mixture of data types is called coarse data. Because the income question consists of two parts -- an initial, exact income question and a bounded income follow-up question -- the resulting statistical distribution of employee income is both continuous and discrete. The book shows researchers how to appropriately deal with coarse income data using multiple imputation.The take-home message from this book is that researchers have a responsibility to treat data quality concerns in a statistically sound manner, rather than making adjustments to public-use data in arbitrary ways, often underpinned by undefensible assumptions about an implicit unobservable loss function in the data. The demonstration of how this can be done provides a replicable concept map with applicable methods that can be utilised in any sample survey. Author Biography Reza Che Daniels is Associate Professor in the School of Economics, University of Cape Town. He was one of the Principal Investigators of the National Income Dynamics Study (NIDS), South Africas first nationally representative longitudinal household survey. He is also one of the Principal Investigators of the NIDS-Coronavirus Rapid Mobile Survey (NIDS-CRAM), which uses a sub-sample of the NIDS to monitor the impact of COVID-19 in South Africa. Details ISBN 9811936382 ISBN-13 9789811936388 Title How Data Quality Affects our Understanding of the Earnings Distribution Author Reza Che Daniels Format Hardcover Year 2022 Pages 114 Edition 1st Publisher Springer Verlag, Singapore GE_Item_ID:151370431; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 72.35 USD
Location: Fairfield, Ohio
End Time: 2025-01-25T06:23:15.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
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ISBN-13: 9789811936388
Book Title: How Data Quality Affects our Understanding of the Earnings Distri
Number of Pages: Xx, 114 Pages
Publication Name: How Data Quality Affects Our Understanding of the Earnings Distribution
Language: English
Publisher: Springer
Subject: Probability & Statistics / General, Africa / General, Economics / General, International / General, Databases / General
Publication Year: 2022
Item Weight: 13.3 Oz
Type: Textbook
Subject Area: Mathematics, Computers, Business & Economics, History
Author: Reza Che Daniels
Item Length: 9.3 in
Item Width: 6.1 in
Format: Hardcover
