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This article explores the discrepancies between poverty measurement using national accounts and household surveys, highlighting the advantages and limitations of each method. It also discusses the implications for poverty analysis and calls for improved and harmonized practices.
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Statistical Issues in Measuring Poverty from Non-Survey SourcesNATIONAL ACCOUNTS UN STATISTICS DIVISION Economic Statistics Branch National Accounts Section UNSD/NA/MR 1
Is poverty under or over estimated? • Two sources of aggregate welfare data: • National accounts (NA) • Per capita Household final consumption expenditure (HFCE) • Per capita Disposable income of households • Household surveys (HS) • Survey mean of consumption • Survey mean of income • Is survey mean typically lower than per capita HFCE?
Income versus expenditure in the poverty concept • Consumption surveys are far better than income surveys for poverty measurement • Households more willing to reveal their consumption rather than their income • Conceptualization of non-wage incomes • Recall periods
Some conceptual and measurement issues in National Accounts • Disposable income • Household final consumption • Two concepts • Household final consumption expenditure • Actual final consumption of households
Comparability between NA and HS estimate of disposable income • Recording of income of self employed persons • Imputed rent of owner occupied dwellings • Exhaustiveness adjustments • Compilation of disposable income in NA (Table 1.doc)
Comparability between NA and HS estimate of household consumption • HS provides information on household consumption at the lowest detailed level but • HS can not be directly used for NA estimates • Conceptual adjustments • Empirical adjustments
Conceptual adjustments • Differences in definitions and concepts • Households production for own final consumption • Services of owner occupied dwellings • Income in kind • Financial intermediation services indirectly measured • Insurance and pension fund services • Direct sales and purchases for business purposes • National concept • Diagram 1 (Diagram 1.doc)
Empirical adjustments • Differential non-response • High income households • Exhaustiveness • Data confrontation • Retail trade • Enterprise surveys • Others • Diagram 2 (Diagram 2.doc)
Actual final consumption of households • Shows who benefits from the consumption • Main objective is to enhance comparability of households final consumption across countries and over different time periods • Consists of : • Final consumption expenditure of households • Social transfers in kind from the Government • Social transfers in kind from NPISHs
International debate on non-compliance between NA and HS surveymeans • Why use national accounts data (Karshenas)? • There is significant relationship between the two measures but it is not always the case that national accounts consumption would be lower than survey-based mean consumption • National accounts-based estimates appear to be more plausible in relation to other non-monetary indicators of poverty • Calibration of survey means by using external NA based information as a scale factor for a removal of discrepancy
International debate on non-compliance between NA and HS surveymeans(cont.) • Why prefer household survey data (Deaton)? • Designed to directly measure individual welfare • Yes, under-reporting/non-compliance problems, but probably produce more accurate measure of living standard of the poor • No sound basis for using mean from NA and distribution from household survey for calibration to remove differences.
Conclusions • Discrepancy between NA and HS means has important implications for the analysis of poverty • NA data even not used for direct estimation of poverty might be of particular help in case of: • Outdated HS data • Missing HS • Practice of HS needs to be improved and harmonized