2017
DOI: 10.1007/s11205-017-1672-7
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Differences Between Household Income from Surveys and Registers and How These Affect the Poverty Headcount: Evidence from the Austrian SILC

Abstract: We take advantage of the fact that for the Austrian SILC 2008–2011, two data sources are available in parallel for the same households: register-based and survey-based income data. Thus, we aim to explain which households tend to under- or over-report their household income by estimating multinomial logit and OLS models with covariates referring to the interview situation, employment status and socio-demographic household characteristics. Furthermore, we analyze source-specific differences in the distribution … Show more

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Cited by 26 publications
(18 citation statements)
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“…In addition, surveys reflect individuals' self-reported information, which is likely to be biased by people's imprecise memories (Andreoni, 2006;Bekkers & Wiepking, 2006) and socially desired answering behavior. In fact, lower income groups generally underreport their income (Angel, 2018;Meyer & Sullivan, 2003), effectively increasing the proportion of income donated, while those with higher income usually overrate it (Angel, 2018). Moreover, voluntary surveys are prone to a non-response bias when it comes to individuals with higher incomes.…”
Section: Variation In Results Based On Sample Analyzedmentioning
confidence: 99%
“…In addition, surveys reflect individuals' self-reported information, which is likely to be biased by people's imprecise memories (Andreoni, 2006;Bekkers & Wiepking, 2006) and socially desired answering behavior. In fact, lower income groups generally underreport their income (Angel, 2018;Meyer & Sullivan, 2003), effectively increasing the proportion of income donated, while those with higher income usually overrate it (Angel, 2018). Moreover, voluntary surveys are prone to a non-response bias when it comes to individuals with higher incomes.…”
Section: Variation In Results Based On Sample Analyzedmentioning
confidence: 99%
“…Other studies support the better-respondent hypothesis. Over waves, respondents respond more honestly (Struminskaya 2016), more accurately (Angel et al 2017), and are less likely to give socially desirable answers (Waterton and Lievesley 1989).…”
Section: Panel Conditioningmentioning
confidence: 99%
“…It is suspected that the respondents may worry about the income tax issue and, thus, did not declare their real income level. Relevant research pointed out that the information obtained by respondents in the questionnaire survey and the results of government surveys have a certain degree of non-random error and may lead to research bias [78][79][80]. Therefore, there is possibly a non-random error of the information provided by the respondents of this research.…”
Section: Questionnaire Surveymentioning
confidence: 92%