Fiscal dominance and inflation: evidence from Sub-Saharan Africa*
https://doi.org/10.3326/pse.48.3.5 | Published online: September 3, 2024 Figure 1
Sub-Saharan Africa: quantitative limits on central bank lending, 2017 (percent of sample)
Sources: Central Bank Legislation Database (CBLD); national authorities; and IMF staff
calculations.
Figure 2
Sub-Saharan Africa: central bank lending to government, 2001-17
Sources: CBLD; International Financial Statistics (IFS); World Economic Outlook (WEO);
national authorities; and IMF staff calculations.
Figure 3
Sub-Saharan Africa: fiscal dominance, 2001-17
Sources: CBLD; national authorities; MFS; WEO; and IMF staff calculations.
Table 1
Sub-Saharan Africa: Descriptive Statistics, 2001-17 (percent; otherwise indicated)
Table 2
Sub-Saharan Africa: determinants of central bank lending, 2001-17
Table 3
Sub-Saharan Africa: descriptive statistics, 2001-17 (in percent)
Sources: WEO; IFS; and IMF staff calculations. Figure 4
Sub-Saharan Africa: impact of central bank financing on money, the exchange rate, and inflation
Notes: The figure shows the impulse response functions for a one unit innovation in the ratio of
central bank loans to GDP and presents both the point estimates and the 68 and 90 percent confidence
intervals around them.
Table A1
Sub-Saharan Africa: central bank acts, 2017
Sources: National Authorities; and Central Bank Legislation Database (CBLD). Table A2
Determinants of central bank lending: treating the fiscal deficit as endogenous
Table A3
Determinants of central bank lending: total claims
Table A4
Determinants of central bank lending: change in central bank loans
Table A5
Determinants of central bank lending: additional explanatory variables
Notes: Sovereign risk measures the risk of debt distress using the ratings from the IMF’s Debt Sustainability Analysis (=0 if the rating is “Low”; =1 if the rating is
“Moderate”=2 if the rating is “High”=3 if the rating is “In debt distress”). Eurobond access is a dummy (=1 if the country has previously issued a Eurobond, 0 otherwise). Table A6
Determinants of central bank lending: dynamic bias least squares dummy estimators
Table A7
Number of observations (countries) in each local projection
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