The impact of territorial factors on the total non-response error in the European Union – Survey on Income and Living Condition (EU-SILC)

Authors

  • Rosalia Castellano Università di Napoli “Parthenope”
  • Gennaro Punzo Università di Napoli “Parthenope”

DOI:

https://doi.org/10.6092/issn.1973-2201/3644

Abstract

This paper discusses a framework for the evaluation of accuracy of the Italian section of EU-SILC data with focus on non-sampling errors related to several components of the total non-response at household level. Following a classical hierarchical approach, classes of quality indicators are obtained by aggregating some ad hoc basic quality rates. Subsequently, in order to investigate the territorial perspective and its effects on the total nonresponse, one-way random effects ANOVA model and a multinomial logistic regression model are estimated. In this light, the work aims at exploring the main demographic and socio-economic factors potentially correlated with the survey participation at a subnational level. The final goal is sketching a territorial quality profile to identify those crucial areas with a more difficulty to be interviewed in order to define some ad hoc corrective interventions.

References

ABRAHAM K.G., MAITLAND A., BIANCHI S.M. (2006), Non-Response in the American Time Use Survey, “Public Opinion Quarterly”, 70 (5), pp. 676-703.

ATROSTIC B.K., BATES N., BURT G., SILBERSTEIN A. (2001), Nonresponse in U.S. Government Household Surveys: Consistent Measures, Recent Trends and New Insights, “Journal of Official Statistics”, 17 (2), pp. 209-226.

BANK OF ITALY (2008), Supplements to the Statistical Bulletin. Sample Surveys. Household Income and Wealth in 2006, XVIII, no. 7.

CECCARELLI C., CUTILLO A. (2006), Nuove metodologie di stima nell’indagine Istat su reddito e condizioni di vita: problemi aperti e prospettive, VIII Convegno Internazionale sui Metodi Quantitativi per le Scienze Applicate, Siena, 11-13 Settembre.

CLEMENCEAU A., MUSEUX J.M., BAUER M. (2006), EU-SILC (Community Statistics on Income and Living Conditions): Issues and Challenges. Eurostat and Statistics Finland International Conference: Comparative EU Statistics on Income and Living Conditions: Issues and Challenges, Helsinki, 6-7 November.

COUPER M.P., DE LEEUW E. (2003), Nonresponse in Cross-Cultural and Cross-National Surveys. Cross-Cultural Survey Methods, J. Harkness, F. Van de Vijver and P. Mohler (eds), New Jersey: John Wiley.

CURTIN R., PRESSER S., SINGER E. (2005), Changes in Telephone Survey Non-Response over the Past Quarter Century, “Public Opinion Quarterly”, 69, pp. 87-98.

DE HEER W. (1999), International Response Trends: Results of an International Survey, “Journal of Official Statistics”, 15, pp. 129-142.

DE LEEUW E. (1999), Special Issue on Survey Non-Response, “Journal of Official Statistics”, 15, pp. 127-350.

DE LEEUW E., DE HEER W. (2002), Trends in Household Survey Non-Response: A Longitudinal and International Comparison. In Survey Nonresponse, ed. R.M. Groves, D.A. Dillman, J.L. Eltinge and R.J. Little, New York: Wiley, pp. 41-54.

DREW J.D., GRAY G.B. (1991), Standard and Guidelines for Definition and Reporting of Non-Response to Surveys. Second International Workshop on Household Survey Non-Response, Washington, DC.

EATON W.W., ANTHONY J.C., TEPPER S., DRYMAN A. (1992), Psychopathology and Attrition in the Epidemiologic Catchment Area Surveys, “American Journal of Epidemiology”, 135, pp. 1051-1059.

EUROSTAT (2005), Standard Quality Indicators, doc/ESTAT/02/Quality/9/EN.

GOYDER J. (1987), The Silent Minority; Nonrespondents on Sample Surveys. Boulder, CO: Westview Press.

GOYDER J., LOCK J., MCNAIR T. (1992), Urbanization Effects on Survey Nonresponse: A Test Within and Across Cities, “Quality and Quantity”, 26, pp. 39-48.

GROVES R.M., COUPER M.P. (1998), Nonresponse in Household Interview Surveys, New York: John Wiley & Sons.

HIDIROGLOU M.A., DREW J.D., GRAY G.B. (1993), A Framework for Measuring and Reducing Non-Response in Surveys, “Survey Methodology”, 19, no. 1, pp. 81-94.

HOSMER D.W., LEMESHOW S. (2000), Applied Logistic Regression, Second Edition. New York: Wiley Interscience.

HOUSE J.S., WOLF S. (1978), Effects of Urban Residence on Interpersonal Trust and Helping Behavior, “Journal of Personality and Social Psychology”, 36, no. 9, pp. 1029-1043.

IVERSEN G.R., NORPOTH H. (1987), Analysis of Variance. Quantitative Applications in the Social Sciences. Sage University Paper, no. 1.

JACKSON S., BRASHERS D.E. (1994), Random Factors in ANOVA. Quantitative Applications in the Social Sciences. Sage University Paper, no. 98.

KVIZ F.J. (1977), Toward a Standard Definition of Response Rate, “Public Opinion Quarterly” (Summer), pp. 265-267.

LEPKOWSKI J.M., COUPER M.P. (2002), Nonresponse in the Second Wave of Longitudinal Household Surveys. In Survey Nonresponse, ed. R.M. Groves, D.A. Dillman, J.L. Eltinge and R.J. Little, New York: Wiley, pp. 259-272.

LESSLER J.T., KALSBEEK W.D. (1992), Nonsampling Error in Surveys. New York: John Wiley & Sons.

LYNN P., BEERTEN R., LAIHO J., MARTIN J. (2001), Recommended Standard Final Outcome Categories and Standard Definitions of Response Rate for Social Surveys. Working Papers of the Institute for Social and Economic Research, Colchester: University of Essex.

MOULTON B.R. (1990), An Illustration of a Pitfall in Estimating the Effects of Aggregate Variables on Micro Units, “Review of Economics and Statistics”, pp. 334-338.

OFFICIAL JOURNAL OF THE EUROPEAN UNION (2003), Regulation (EC) no. 1983/2003 of 7 November 2003 implementing Regulation (EC) n. 1177/2003 of the European Parliament and of the Council concerning Community Statistics on Income and Living Conditions (EU-SILC) as regards the list of target primary variables.

PARKER K.D., RAY M.C. (1990), Fear of Crime: An Assessment of Related Factors, “Sociological Spectrum”, 10, pp. 29-40.

PERACCHI F. (2002), The European Community Household Panel: A review, “Empirical Economics” 27, pp. 63-90.

PLATEK R., GRAY G.B. (1986), On the Definitions of Response Rates, “Survey Methodology”, 12, no.1, pp. 17-27.

QUINTANO C., CASTELLANO R., PUNZO G. (2007), Estimating Poverty in the Italian Provinces Using Small Area Estimation Models, “Metodoloski zvezki”, 4, no. 1, pp. 37-70.

RAO J.N.K. (2005), On Measuring the Quality of Survey Estimates, “International Statistical Review”, 73, no. 2, pp. 241-244.

SINGER J.D. (1998, Using SAS PROC MIXED to Fit Multilevel Models, Hierarchical Models, and Individual Growth Models, “Journal of Educational and Behavioral Statistics”, 24, no. 4, pp. 323-355.

THE AMERICAN ASSOCIATION FOR PUBLIC OPINION RESEARCH (2008), Standard Definitions: Final Dispositions of Case Codes and Outcome Rates for Surveys. 5th edition. AAPOR.

VERMA V. (2006), Issues in Data Quality and Comparability in EU-SILC. Eurostat and Statistics Finland International Conference: Comparative EU Statistics on Income and Living Conditions: Issues and Challenges, Helsinki, 6-7 November.

Downloads

Published

2012-06-30

How to Cite

Castellano, R., & Punzo, G. (2012). The impact of territorial factors on the total non-response error in the European Union – Survey on Income and Living Condition (EU-SILC). Statistica, 72(2), 211–233. https://doi.org/10.6092/issn.1973-2201/3644

Issue

Section

Articles