gogo

How data quality affects our understanding of the earnings distribution (Record no. 50937)

MARC details
000 -LEADER
fixed length control field 04909nam a22006015i 4500
001 - CONTROL NUMBER
control field 978-981-19-3639-5
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220929150238.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220702s2022 si | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789811936395
Local codes 978-981-19-3639-5
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-981-19-3639-5
Source of number or code doi
072 #7 - SUBJECT CATEGORY CODE
Subject category code PBT
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code MAT029000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code PBT
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.5
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Daniels, Reza Che.
9 (RLIN) 111448
245 10 - TITLE STATEMENT
Title How data quality affects our understanding of the earnings distribution
Medium [electronic resource] /
Statement of responsibility, etc. by Reza Che Daniels.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2022.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Singapore :
Name of producer, publisher, distributor, manufacturer Springer Nature Singapore :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2022.
300 ## - PHYSICAL DESCRIPTION
Extent XX, 114 p. 11 illus., 5 illus. in color.
Other physical details online resource.
336 ## - CONTENT TYPE
Content type code txt
337 ## - MEDIA TYPE
Media type code c
338 ## - CARRIER TYPE
Carrier type code cr
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Introduction -- A Framework for Investigating Micro Data Quality, with Application to South African Labour Market Household Surveys -- Questionnaire Design and Response Propensities for Labour Income Micro Data -- Univariate Multiple Imputation for Coarse Employee Income Data -- Conclusion: How Data Quality Affects our Understanding of the Earnings Distribution.
506 0# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open Access
520 ## - SUMMARY, ETC.
Summary, etc. 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 Africa's 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 model for 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. .
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Statistics .
9 (RLIN) 107603
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Sampling (Statistics).
9 (RLIN) 111449
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Quantitative research.
9 (RLIN) 111070
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Africa-Economic conditions.
9 (RLIN) 111450
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Africa-History.
9 (RLIN) 111451
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Statistical Theory and Methods.
9 (RLIN) 111452
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Survey Methodology.
9 (RLIN) 111453
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data Analysis and Big Data.
9 (RLIN) 111071
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Methodology of Data Collection and Processing.
9 (RLIN) 111454
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element African Economics.
9 (RLIN) 111455
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element African History.
9 (RLIN) 111456
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
9 (RLIN) 107205
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9789811936388
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9789811936401
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9789811936418
856 40 - ELECTRONIC LOCATION AND ACCESS
Link text Link to Springer open access ebook
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-981-19-3639-5">https://doi.org/10.1007/978-981-19-3639-5</a>
856 40 - ELECTRONIC LOCATION AND ACCESS
Link text Send a message to library staff if access to this online resource is unavailable
Uniform Resource Identifier <a href="https://tinyurl.com/52eeu77j">https://tinyurl.com/52eeu77j</a>
912 ## -
-- ZDB-2-SMA
912 ## -
-- ZDB-2-SXMS
912 ## -
-- ZDB-2-SOB

No items available.

Powered by Koha