Comparing Wealth – Data quality of the HFCS

The Household Finance and Consumption Survey (HFCS) provides information about house-hold wealth (real and financial assets as well as liabilities) from 15 Euro-countries around the year 2010 (first wave). The survey will be the central dataset in this topic in the future. However, several aspects p...

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Main Authors: Anita Tiefensee, Markus M. Grabka
Format: Article
Language:English
Published: European Survey Research Association 2016-08-01
Series:Survey Research Methods
Subjects:
Online Access:https://ojs.ub.uni-konstanz.de/srm/article/view/6305
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spelling doaj-1dd71dac5c614e3fb81bfe5ff1d9acb22020-11-24T21:15:39ZengEuropean Survey Research AssociationSurvey Research Methods1864-33611864-33612016-08-0110211914210.18148/srm/2016.v10i2.63056119Comparing Wealth – Data quality of the HFCSAnita Tiefensee0Markus M. Grabka1Hertie School of GovernanceDIW Berlin & TU BerlinThe Household Finance and Consumption Survey (HFCS) provides information about house-hold wealth (real and financial assets as well as liabilities) from 15 Euro-countries around the year 2010 (first wave). The survey will be the central dataset in this topic in the future. However, several aspects point to potential methodological constraints regarding cross-country comparability. Therefore the aim of this paper is to get a better insight in the data quality of this important data source. The framework for our analysis is the “Guidelines for Micro Statistics on Household Wealth” from the OECD (2013). We have two main focuses: First, we present a synopsis of cross-country differences, which is the core of the paper. We compare the sampling processes, the interview modes, the oversampling techniques, the unit and item non-response rates and how it is dealt with them via weighting and imputation as well as further points which might restrict cross-country comparability of net wealth. We classify the individual country behavior and evaluate the impact on net wealth. Second, we give a first insight in the selectivity of item non-response in a cross-national setting. We make use of logit models to identify differences in characteristics as well as item non-response patterns across countries.https://ojs.ub.uni-konstanz.de/srm/article/view/6305Household Finance and Consumption Survey (HFCS)data qualitycross-country comparabilityitem non-response
collection DOAJ
language English
format Article
sources DOAJ
author Anita Tiefensee
Markus M. Grabka
spellingShingle Anita Tiefensee
Markus M. Grabka
Comparing Wealth – Data quality of the HFCS
Survey Research Methods
Household Finance and Consumption Survey (HFCS)
data quality
cross-country comparability
item non-response
author_facet Anita Tiefensee
Markus M. Grabka
author_sort Anita Tiefensee
title Comparing Wealth – Data quality of the HFCS
title_short Comparing Wealth – Data quality of the HFCS
title_full Comparing Wealth – Data quality of the HFCS
title_fullStr Comparing Wealth – Data quality of the HFCS
title_full_unstemmed Comparing Wealth – Data quality of the HFCS
title_sort comparing wealth – data quality of the hfcs
publisher European Survey Research Association
series Survey Research Methods
issn 1864-3361
1864-3361
publishDate 2016-08-01
description The Household Finance and Consumption Survey (HFCS) provides information about house-hold wealth (real and financial assets as well as liabilities) from 15 Euro-countries around the year 2010 (first wave). The survey will be the central dataset in this topic in the future. However, several aspects point to potential methodological constraints regarding cross-country comparability. Therefore the aim of this paper is to get a better insight in the data quality of this important data source. The framework for our analysis is the “Guidelines for Micro Statistics on Household Wealth” from the OECD (2013). We have two main focuses: First, we present a synopsis of cross-country differences, which is the core of the paper. We compare the sampling processes, the interview modes, the oversampling techniques, the unit and item non-response rates and how it is dealt with them via weighting and imputation as well as further points which might restrict cross-country comparability of net wealth. We classify the individual country behavior and evaluate the impact on net wealth. Second, we give a first insight in the selectivity of item non-response in a cross-national setting. We make use of logit models to identify differences in characteristics as well as item non-response patterns across countries.
topic Household Finance and Consumption Survey (HFCS)
data quality
cross-country comparability
item non-response
url https://ojs.ub.uni-konstanz.de/srm/article/view/6305
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