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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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 |
work_keys_str_mv |
AT anitatiefensee comparingwealthdataqualityofthehfcs AT markusmgrabka comparingwealthdataqualityofthehfcs |
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