Estimating Household Permanent Income from Ownership of Physical Assets
Estimation of permanent income from household surveys has been used for poverty surveillance and the examination of causal processes at the household-level in low- and middle- income countries. While previous approaches are appropriate for within-country comparisons, we estimate internationally and temporally comparable household permanent income. We develop a strategy for estimating a household wealth index that is comparable across multiple countries and multiple time periods. We use a latent variable approach to estimate an absolute measure of wealth from survey data detailing asset ownership. We validate the approach using survey data from three countries in the Living Standards Measure Study that has both expenditure and asset information. The wealth estimates have correlations of 0.75, 0.70 and 0.68 with household expenditure reported in LSMS South Africa 1994, Tanzania 2004 and Peru 1994, respectively. Egypt 1988 and 2005 Demographic and Health Surveys were used to demonstrate trends in household wealth across time.
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- Erich Battistin & Richard Blundell & Arthur Lewbel, 2007.
"Why is Consumption More Log Normal Than Income? Gibrat's Law Revisited,"
Boston College Working Papers in Economics
671, Boston College Department of Economics.
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- Erich Battistin & Richard Blundell & Arthur Lewbel, 2007. "Why is consumption more log normal than income? Gibrat's law revisited," IFS Working Papers W07/08, Institute for Fiscal Studies.
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