What leads to measurement errors? Evidence from reports of program participation in three surveys

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985998%3A_____%2F24%3A00604591" target="_blank" >RIV/67985998:_____/24:00604591 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216208:11640/24:00585322

Výsledek na webu

<a href="https://doi.org/10.1016/j.jeconom.2023.105581" target="_blank" >https://doi.org/10.1016/j.jeconom.2023.105581</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.jeconom.2023.105581" target="_blank" >10.1016/j.jeconom.2023.105581</a>

Jazyk výsledku

angličtina

Název v původním jazyce

What leads to measurement errors? Evidence from reports of program participation in three surveys

Popis výsledku v původním jazyce

Measurement errors are often a large source of bias in survey data. Lack of knowledge of the determinants of such errors makes it difficult to reduce the extent of errors when collecting data and to assess the validity of analyses using the data. We study the determinants of reporting error using high quality administrative data on government transfers linked to three major U.S. surveys. Our results support several theories of misreporting: Errors are related to event recall, forward and backward telescoping, salience of receipt, the stigma of reporting participation in welfare programs and respondent's degree of cooperation with the survey overall. We provide evidence on how survey design choices affect reporting errors. Our findings help survey users to gauge the reliability of their data and to devise estimation strategies that can correct for systematic errors, such as instrumental variable approaches. Understanding survey errors allows researchers collecting survey data to reduce them by improving survey design. Our results indicate that survey design should take into account that higher response rates as well as collecting more detailed information may have negative effects on survey accuracy.

Název v anglickém jazyce

What leads to measurement errors? Evidence from reports of program participation in three surveys

Popis výsledku anglicky

Measurement errors are often a large source of bias in survey data. Lack of knowledge of the determinants of such errors makes it difficult to reduce the extent of errors when collecting data and to assess the validity of analyses using the data. We study the determinants of reporting error using high quality administrative data on government transfers linked to three major U.S. surveys. Our results support several theories of misreporting: Errors are related to event recall, forward and backward telescoping, salience of receipt, the stigma of reporting participation in welfare programs and respondent's degree of cooperation with the survey overall. We provide evidence on how survey design choices affect reporting errors. Our findings help survey users to gauge the reliability of their data and to devise estimation strategies that can correct for systematic errors, such as instrumental variable approaches. Understanding survey errors allows researchers collecting survey data to reduce them by improving survey design. Our results indicate that survey design should take into account that higher response rates as well as collecting more detailed information may have negative effects on survey accuracy.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50201 - Economic Theory

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název periodika

Journal of Econometrics

ISSN

0304-4076

e-ISSN

1872-6895

Svazek periodika

238

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

19

Strana od-do

105581

Kód UT WoS článku

001129514300001

EID výsledku v databázi Scopus

2-s2.0-85178438464