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Income Source Confusion Using the SILC.

Christopher Robert Bollinger1, Iva Valentinova Tasseva2

  • 1Gatton Endowed Professor and University Research Professor, Department of Economics, Gatton College of Business and Economics, University of Kentucky, Lexington, KY, US.

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|September 14, 2023
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Summary

Many individuals misreport unemployment benefits and earnings in surveys. This income source confusion, particularly reporting unemployment benefits as earnings, biases estimates of education returns and creates sample bias in job training research.

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Area of Science:

  • Economics
  • Labor Economics
  • Survey Methodology

Background:

  • Household surveys are crucial for economic research.
  • Accurate income reporting is vital for reliable statistical analysis.
  • Previous research has highlighted potential biases in self-reported income data.

Purpose of the Study:

  • To assess the extent and structure of misreporting in Austrian unemployment benefits and earnings data.
  • To analyze the impact of misreporting on economic estimators, specifically Mincer wage equations.
  • To identify how income source confusion affects the estimation of returns to education and job training.

Main Methods:

  • Utilized linked Austrian household survey data (EU-SILC 2008-2011) and administrative records.
  • Assessed misreporting of unemployment benefits and earnings.
  • Estimated standard Mincer wage equations to demonstrate the impact of misreporting.

Main Results:

  • Significant underreporting of participation in unemployment programs was documented.
  • Respondents inflated earnings during periods of unemployment compensation.
  • Misreporting led to downward bias in estimated returns to education.

Conclusions:

  • Income source confusion in surveys significantly distorts economic estimates.
  • Failure to accurately report unemployment benefits biases key labor market analyses.
  • Improved survey design and data linkage are necessary to mitigate these biases.