UID:
edocfu_9958108000302883
Format:
1 online resource (15 p.)
ISBN:
1-4623-2959-4
,
1-4527-5415-2
,
1-283-51594-6
,
1-4519-1162-9
,
9786613828392
Series Statement:
IMF working paper ; WP/07/145
Content:
Regressions in a number of recent papers written by staff members of the World Bank and the IMF rely on an interaction variable (IAV) to establish the effects of foreign aid on economic growth or the reduction of poverty. The common assumption in these papers is that if the coefficient of this IAV is statistically significant, then both of its components have a significant effect on the dependent variable. That assumption is not justified in its generality, and this paper develops two techniques that show a high probability that in at least two of the three studies analyzed one of the components of the IAV may not have a significant effect.
Note:
"June 2007".
,
Table of Contents; I. Introduction; II. Easterly's Model; III. Critique of Easterly's Model; Tables; 1. Significance of 1,000 Coefficients for Growth times Artificial Program Variable Full Sample; 2. Significance of 1,000 Coefficients for Growth times Artificial Program Variable Sample Without Transition Countries; 3. Effect of Growth on Poverty; IV. Implications of Our Findings; 4. T-Ratios of the Interaction Variable for Different Exponents of (a) the Aid/GDP Ratio, Keeping the Labor Intensity Ratio Constant, and (b) the Labor Intensity Ratio, Keeping the Aid/GDP Ratio Constant
,
5. Frequency of Significant Coefficients for IAV with Randomized Labor Intensity RatiosV. Conclusion; References
,
English
Additional Edition:
ISBN 1-4518-6709-3
Language:
English
Bookmarklink