Method of Household Surveys and Characteristics of Surveyed Households: Comparison regarding Household Composition, Annual Income and Educational Attainment

Shinpei Sano, Shunji Tada and Manabu Yamamoto
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Shunji Tada: Researcher, Research and Co-ordination Department, Policy Research Institute, Ministry of Finance
Manabu Yamamoto: Former Researcher, Research and Co-ordination Department, Policy Research Institute, Ministry of Finance

Public Policy Review, 2015, vol. 11, issue 4, 505-530

Abstract: This paper identified the characteristics of various statistics and the points of attention at the time of usage by comparing household-related statistics compiled through different survey methods. Regarding households comprised of two or more members, there was not any significant difference in the average attributes of surveyed households. However, the distribution of household attributes varied depending on the survey method, and it is possible that the Comprehensive Survey of Living Conditions covers more non-average households than the National Survey of Family Income and Expenditure and the Family Income and Expenditure Survey. On the other hand, the proportion of single-person households was lower in the Comprehensive Survey of Living Conditions than in other statistics. Presumably, single- person households were underrepresented in the Comprehensive Survey of Living Conditions, which neither adopts substitute households nor uses ratio estimation. Regarding educational attainment, various statistics show mostly similar distributions. However, the presence of people with gunreported educational attainment h included in the Comprehensive Survey of Living Conditions and the Population Census makes comparison difficult. According to an estimation using cohort information included in the Population Census and the distribution of educational attainment levels included in the Labour Force Survey, people with unreported educational attainment are concentrated among people whose last school education was primary school or junior or senior high school. Excluding people with unreported educational attainment is deemed to be likely to generate a bias.

Keywords: household surveys; non-sampling error (search for similar items in EconPapers)
JEL-codes: C80 C83 (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (5)

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