Asset-Based Measurement of Poverty Andrea Brandolini Banca d’Italia, Department for Structural Economic Analysis Silvia Magri Banca d’Italia, Department.

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Presentation transcript:

Asset-Based Measurement of Poverty Andrea Brandolini Banca d’Italia, Department for Structural Economic Analysis Silvia Magri Banca d’Italia, Department for Structural Economic Analysis Timothy M. Smeeding Institute for Research on Poverty and University of Wisconsin “European measures of income, poverty, and social exclusion recent developments and lessons for U.S. poverty measurement” APPAM - Special Pre-Conference Workshop 4 November 2009, Washington D.C.

The problem (1) Per capita GNI and net worth (US$, PPP, 2005)

The problem (1) Per capita GNI and net worth (US$, PPP, 2005)

How to account for wealth in measures of well-being –Here, focus on poverty Two reasons to go beyond purely income-based measure of poverty –Well-being: Income-poor have different living standards depending on net assets –Lifetime equity: chances in one’s life much depend on the set of opportunities open to a person which are, in turn, a function of the person’s endowments The problem (2)

Our aim –develop tools to monitor standard of living: how net worth affects households’ current economic well-being –relevant for social policy: assets may condition eligibility to means-tested public benefits Outline –Conceptual framework  Income-net worth  Asset poverty –Comparative results from the LWS Aim & Outline

Insufficiency of current income CY = Y + r NW Yincomes from labour, pensions, transfers r NWproperty incomes (r interest rate, NW net worth) Underestimates resources at individual’s disposal: in principle, people can spend all NW Total financial resources: FR = CY + NW = Y + (1+r) NW Conceptual framework (1)

NW Y Conceptual framework (2) Z poor if: CY = Y + r NW < Z → Y < Z – r NW Labour income Net worth poor if: FR = Y + (1+r) NW < Z → Y < Z – (1+r) NW

Intermediate solution Weisbrod and Hansen (1968): income-net worth –Convert net worth into constant flow of income, i.e. replace actual property incomes with n-year annuity value of net worth ρ n length of annuity AY = Y + ————— NW ρ interest rate 1 - (1+ρ) -n n → ∞only interest,AY=CY n = 1all net worth,AY=FR –n = life expectancy [hp: no wealth left at death] Conceptual framework (3)

NW Y Conceptual framework (4) Z Labour income Net worth n ↓n ↓

Theoretically neat solution but several measurement assumptions: –length of annuity –interest rate –wealth aggregate that is annuitized –treatment of couples –population subgroups whose wealth is annuitized –allowance for bequests/precautionary saving –poverty threshold Conceptual framework (5)

elderly look much better, on average Conceptual framework (6) Percentage annuity rate by age

Impose less structure on data  supplement income- based with asset-based poverty measures Exposure to potential risk → vulnerability more than poverty asset-poor = wealth < fraction of income poverty line Haveman and Wolff (2004) –Fraction = 1/4 –“net worth”: indicator of “long-run economic security of families” –“liquid assets”: indicator of “emergency fund availability” Conceptual framework (7)

NW Y Conceptual framework (8) Z Labour income Net worth Asset poor onlyAsset and income poor ζ Z

Application based on a novel database Luxembourg Wealth Study –Broadly comparable database containing wealth variables for 10 countries –Based on existing datasets harmonized ex post –Caution: wealth is difficult to measure, definitions vary across countries Some comparative results (1)

Some comparative results (2) Lower poverty ratios Country ranking unchanged, but biggest reduction in Italy Smaller effect if financial assets annuitized Narrowing of differences between US and Europe for the elderly (not shown) % SHARE OF POOR HOUSEHOLDS (head life expectancy, 2% rate, zero bequest, only heads 55+)

Some comparative results (3) Income & financial asset poor not terribly different from income poor Many households have little financial assets % SHARE OF POOR HOUSEHOLDS

Need to integrate wealth into the analysis of poverty and inequality Empirical problem: –income & wealth together –better wealth data –need ex ante standardization of methods and definitions Asset-related measures of poverty have distinctive informative value with respect to income-based statistics –Pools of asset-poor and income-poor do not coincide –Better understand properties of alternative indicators Conclusions

MANY THANKS FOR YOUR ATTENTION