Aid econometrics: Lessons from a stochastic growth model

B-Tier
Journal: Journal of International Money and Finance
Year: 2017
Volume: 77
Issue: C
Pages: 216-232

Score contribution per author:

2.018 = (α=2.02 / 1 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

This paper evaluates the standard empirical methods employed in the study of foreign aid, when the data generating process is a calibrated stochastic growth model in which aid recipients make optimal investment and consumption decisions. When recipients receive a stochastic flow of aid and wish to smooth consumption, standard methods fail to distinguish between the response to transient and permanent aid shocks, and hence yield misleading results concerning the object of interest to policy makers: the long-run impact of aid.

Technical Details

RePEc Handle
repec:eee:jimfin:v:77:y:2017:i:c:p:216-232
Journal Field
International
Author Count
1
Added to Database
2026-01-25