Idea is to outline basic model, a la Singh et al via Bardhan & Udry. Show that separation is implied by basic model. Discuss how to estimate demand system, labor supply, all in an environment with no risk.
Idea: What can go wrong? If there's risk, separation fails. Ways to test separation. Discuss concrete methods for testing for separation using a LSMS dataset.
Idea: Effects of risk; measurement of risk. Models of full risk-sharing; interpretation of multipliers; relationship to interest rates.
Idea: How to test for full risk sharing.
Idea: Cover basic static model with no uncertainty
Idea: Cover intra-household problem with time and uncertainty.
Idea: Ideally, we could just observe everyone's preferences, assets, etc. Adopt a notion of cardinal utility, and estimate discounted expected utility.
Idea: Since observing everything is too hard, see what we can do with good panel data on household expenditures.
Idea: Inequality is the best we can do with just cross-sectional data. With repeated cross-sections, we can construct artificial cohorts; with additional structure from theory on evolution of distribution, can do Deaton-Paxson or Ligon (2008) sorts of exercises.
Without decent cross-sectional data (perhaps under-reporting at the top end), poverty measures may be a reasonably robust way to get at welfare. Or not.
Date: 2008-11-24 07:12:17 PST
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