Aid Volatility and Poverty Traps

Pierre-Richard Agénor () and Joshua Aizenman ()

No 13400, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: This paper studies the impact of aid volatility in a two-period model where production may occur with either a traditional or a modern technology. Public spending is productive and "time to build" requires expenditure in both periods for the modern technology to be used. The possibility of a poverty trap induced by high aid volatility is first examined in a benchmark case where taxation is absent. The analysis is then extended to account for self insurance (taking the form of a first-period contingency fund) financed through taxation. An increase in aid volatility is shown to raise the optimal contingency fund. But if future aid also depends on the size of the contingency fund (as a result of a moral hazard effect on donors' behavior), the optimal policy may entail no self insurance.

JEL-codes: F35 H54 O19 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-dev
Date: 2007-09
Note: ITI
View list of references

Downloads: (external link)
http://www.nber.org/papers/w13400.pdf (application/pdf)
Access to the full text is generally limited to series subscribers, however if the top level domain of the client browser is in a developing country or transition economy free access is provided. More information about subscriptions and free access is available at http://www.nber.org/wwphelp.html.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: http://EconPapers.repec.org/RePEc:nbr:nberwo:13400

Ordering information: This working paper can be ordered from
http://www.nber.org/papers/w13400
The price is Paper copy available by mail.

Access Statistics for this paper

More papers in NBER Working Papers from National Bureau of Economic Research, Inc
Address: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.
Contact information at EDIRC.
Series data maintained by ().