Combining administrative and survey data to improve income measurement

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11640%2F21%3A00583726" target="_blank" >RIV/00216208:11640/21:00583726 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1002/9781119272076.ch12" target="_blank" >http://dx.doi.org/10.1002/9781119272076.ch12</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/9781119272076.ch12" target="_blank" >10.1002/9781119272076.ch12</a>

Result language
angličtina
Original language name
Combining administrative and survey data to improve income measurement
Original language description
This chapter reviews how combining administrative and survey data can improve survey accuracy. It emphasizes recent research on government income transfer programs and discusses the advantages of administrative data and record linkage for data users in academia and policy. The chapter shows how linked data can be used to estimate total survey error and decompose it into key components, such as generalized coverage error, item nonresponse error, and measurement error. It then discusses each of these three error sources. The chapter summarizes how linked data can be used to examine the nature and consequences of errors, reviews the evidence on the extent of error and discusses how data linkage can contribute to improving the problem. It provides an illustration of how data linkage can improve measures of poverty and the income distribution. The chapter discusses likely effects of errors in the linked variable and reviews ways to assess and improve data accuracy.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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