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Foreign Aid and Domestic Tax: 
Multiple Sources, One Conclusion 
Paul Clist 
09/09/2014 
paul.clist@uea.ac.uk
Why do we care about Tax? 
1: short term, 
crowding out of aid revenue 
2: long-term, 
corrosion of governance 
2/7
Gupta et al (2003) 
“… while concessional loans are associated with 
higher levels of domestic revenue mobilization, 
the opposite is true of grants” 
Loan 0.011*** 
(3.05) 
(Loan)² -0.0001 
(-0.99) 
Grant -0.016*** 
(-5.00) 
(Grant)² 0.0004*** 
(5.07) 
1970-2000, 107 countries 
OLS with fixed or random 
effects 
RHS also includes agriculture, 
industry, GDP pc, Trade 
openess 
3/7
Clist & Morrissey (2009) 
Extend data by five years 
1970-2005 
‘trade’ →exports and imports 
(one-year lag on aid) 
Loan 1.25*** 
(3.57) 
(Loan)² -0.003* 
(-1.78) 
Grant -1.18*** 
(-5.42) 
(Grant)² 0.0003*** 
(1.49) 
This effect seems to be driven 
by the period 1970-1985 
(worst data) 
All types of aid is positive 
over 1985-2005 
Loan 1.69*** 
(3.90) 
(Loan)² 0.003 
(1.40) 
Grant 0.80*** 
(2.80) 
(Grant)² 0.0001 
(0.52) 
4/7
Benedek et al (2012) 
118 Countries, 1980-2009, up to 2589 obs. 
OLS and GMM 
“Overall... a negative association ... but this 
relationship appears to have weakened ...” 
Carter (2010, 2013) critique: 
• Endogeneity not dealt with 
• GMM really problematic 
5/7
In Clist (2014) I can't replicate Benedek et al 
Sample discrepancy e.g. 6 countries apparently in 
the Benedek et al dataset are not in the provided 
dataset. 
Large discrepancies between reported variables 
and reconstructed data e.g. trade openness mean 
of 18.75 (reported) 54 (mine). 
Larger problem: 
The dependent variable is actually taken from 7 
sources 
Average yearly difference for same country with 
same source: 1.3%, for different source: 4.9% 
One source measures all government revenue 
6/7
What to do? 
• Source coefficients/slopes/separate 
regressions → this is a problem 
• MIMIC model → no negative effect from 
aid grants 
• New data → there is no negative effect 
The only time I find a negative effect is 
contemporaneously for aid grants – ignoring 
endogeneity. Reverse causality seems a more 
plausible explanation. 
New data is much needed. 
7/7
• Gupta S, Clements B, Pivovarsky A, Tiongson E. 2004. 
Foreign aid and revenue response: does the composition 
of aid matter? Chapter 14. In Helping Countries Develop: 
The Role of Fiscal Policy, Gupta S, Clements B, Inchauste G 
(eds). International Monetary Fund: Washington DC; pp. 
385–406. 
• Clist, P., and O. Morrissey, 2011, “Aid and Tax Revenue: 
Signs of a Positive Effect since the 1980s,” Journal of 
International Development, 23, pp. 165–80. 
• Carter, P., 2013, Does Foreign Aid Displace Domestic 
Taxation?. Journal of Globalization and Development, 4(1) 
pp. 1-47. 
• Benedek, D., Crivelli, E., Gupta, S., and Muthoora, P. (2012) 
Foreign Aid and Revenue: Still a Crowding Out Effect?, IMF 
Working Paper, 186. 
• Clist, P. (2014) Foreign Aid and Domestic Tax: Multiple 
Sources, One Conclusion, ICTD Working Paper

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Foreign aid and domestic tax

  • 1. Foreign Aid and Domestic Tax: Multiple Sources, One Conclusion Paul Clist 09/09/2014 paul.clist@uea.ac.uk
  • 2. Why do we care about Tax? 1: short term, crowding out of aid revenue 2: long-term, corrosion of governance 2/7
  • 3. Gupta et al (2003) “… while concessional loans are associated with higher levels of domestic revenue mobilization, the opposite is true of grants” Loan 0.011*** (3.05) (Loan)² -0.0001 (-0.99) Grant -0.016*** (-5.00) (Grant)² 0.0004*** (5.07) 1970-2000, 107 countries OLS with fixed or random effects RHS also includes agriculture, industry, GDP pc, Trade openess 3/7
  • 4. Clist & Morrissey (2009) Extend data by five years 1970-2005 ‘trade’ →exports and imports (one-year lag on aid) Loan 1.25*** (3.57) (Loan)² -0.003* (-1.78) Grant -1.18*** (-5.42) (Grant)² 0.0003*** (1.49) This effect seems to be driven by the period 1970-1985 (worst data) All types of aid is positive over 1985-2005 Loan 1.69*** (3.90) (Loan)² 0.003 (1.40) Grant 0.80*** (2.80) (Grant)² 0.0001 (0.52) 4/7
  • 5. Benedek et al (2012) 118 Countries, 1980-2009, up to 2589 obs. OLS and GMM “Overall... a negative association ... but this relationship appears to have weakened ...” Carter (2010, 2013) critique: • Endogeneity not dealt with • GMM really problematic 5/7
  • 6. In Clist (2014) I can't replicate Benedek et al Sample discrepancy e.g. 6 countries apparently in the Benedek et al dataset are not in the provided dataset. Large discrepancies between reported variables and reconstructed data e.g. trade openness mean of 18.75 (reported) 54 (mine). Larger problem: The dependent variable is actually taken from 7 sources Average yearly difference for same country with same source: 1.3%, for different source: 4.9% One source measures all government revenue 6/7
  • 7. What to do? • Source coefficients/slopes/separate regressions → this is a problem • MIMIC model → no negative effect from aid grants • New data → there is no negative effect The only time I find a negative effect is contemporaneously for aid grants – ignoring endogeneity. Reverse causality seems a more plausible explanation. New data is much needed. 7/7
  • 8. • Gupta S, Clements B, Pivovarsky A, Tiongson E. 2004. Foreign aid and revenue response: does the composition of aid matter? Chapter 14. In Helping Countries Develop: The Role of Fiscal Policy, Gupta S, Clements B, Inchauste G (eds). International Monetary Fund: Washington DC; pp. 385–406. • Clist, P., and O. Morrissey, 2011, “Aid and Tax Revenue: Signs of a Positive Effect since the 1980s,” Journal of International Development, 23, pp. 165–80. • Carter, P., 2013, Does Foreign Aid Displace Domestic Taxation?. Journal of Globalization and Development, 4(1) pp. 1-47. • Benedek, D., Crivelli, E., Gupta, S., and Muthoora, P. (2012) Foreign Aid and Revenue: Still a Crowding Out Effect?, IMF Working Paper, 186. • Clist, P. (2014) Foreign Aid and Domestic Tax: Multiple Sources, One Conclusion, ICTD Working Paper