Progressively targeted cash transfers remain the dominant policy response to chronic poverty in developing countries. But are there alternative social protection policies that might have larger poverty impacts over time for the same public expenditure? To explore this question, this paper develops a dynamic stochastic model of consumption and asset accumulation by households that confront a non-convex production technology and missing financial markets.
The model demonstrates that a hybrid social protection policy, which devotes resources to funding “state of the world contingent transfers” (SWCTs) to vulnerable, but non-poor households in the wake of negative shocks, can result in lower rates of poverty in the medium term than does a conventional cash transfer policy. We also explore the prospects for using subsidized index insurance as a way to implement SWCTs and find that an insurance-based hybrid policy can result in lower total public expenditures than a conventional cash transfer social protection program.
This paper appears in the volume The Economics of Poverty Traps (U. of Chicago, 2018).