Income reporting behaviour in sample surveys
Abstract
This paper analyses respondents' behaviour when reporting their income sources in sample surveys and presents a method to deal with response error. Survey data relating to the number of earning recipients and to amounts received are validated using external information from administrative and statistical sources. Our findings suggest that the response bias on household income is about 12 per cent of reported figures. Misreporting is particularly severe for income from self-employment, financial assets and rents, as well as from secondary jobs. As to the distribution of response error, about 15 per cent of respondents show a high probability of misreporting. Misreporting is more diffuse among males, the older, the self-employed and respondents at the higher end of the earnings distribution.Download Info
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Paper provided by Bank of Italy, Economic Research and International Relations Area in its series Temi di discussione (Economic working papers) with number 777.Length:
Date of creation: Oct 2010
Date of revision:
Handle: RePEc:bdi:wptemi:td_777_10
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Related research
Keywords: income distribution; response error; item response theory; SHIW; data accuracy.;Find related papers by JEL classification:
- J65 - Labor and Demographic Economics - - Mobility, Unemployment, and Vacancies - - - Unemployment Insurance; Severance Pay; Plant Closings
- D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
- L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-11-20 (All new papers)
References
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Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Giovanni D'Alessio & Stefano Iezzi, 2013. "Household over-indebtedness: definition and measurement with Italian data," Questioni di Economia e Finanza (Occasional Papers) 149, Bank of Italy, Economic Research and International Relations Area.
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