Combining administrative and survey data to improve income measurement

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Combining administrative and survey data to improve income measurement

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Combining administrative and survey data to improve income measurement

Popis výsledku anglicky

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.

Druh

C - Kapitola v odborné knize

CEP obor

—

OECD FORD obor

50202 - Applied Economics, Econometrics

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název knihy nebo sborníku

Administrative Records for Survey Methodology

ISBN

978-1-119-27204-5

Počet stran výsledku

26

Strana od-do

297-322

Počet stran knihy

354

Název nakladatele

John Wiley & Sons, Inc.

Místo vydání

Hoboken, NJ

Kód UT WoS kapitoly

—