Back Matter
Author:
Mr. Valerio Crispolti
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Ms. Era Dabla-Norris
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Mr. Jun I Kim
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Ms. Kazuko Shirono
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Mr. George C. Tsibouris
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Abstract

The event study analysis is based on a panel of 71 LICs (Table A1.1). The sample period spans from 1980 to 2007 for the analysis of past shock episodes and from 2007 to 2010 for the impact of the current global financial crisis. The data used for the event study analysis (1980–2007) mainly come from the April 2010 World Economic Outlook (WEO) database, with a few exceptions that are documented below (http://www.imf.org/external/pubs/ft/weo/2010/01/index.htm). For the period from 2007–10 the data were updated with the September 2011 WEO (http://www.imf.org/external/pubs/ft/weo/2011/02/weodata/index.aspx). To reduce the number of missing observations, historical data on per capita consumption were reconstructed using growth rates from the Penn World Tables (version 6.3); (http://pwt.econ.upenn.edu/php_site/pwt63/pwt63_form.php).

Appendix 1: Data Sources and Definitions: Event Study Analysis

The event study analysis is based on a panel of 71 LICs (Table A1.1). The sample period spans from 1980 to 2007 for the analysis of past shock episodes and from 2007 to 2010 for the impact of the current global financial crisis. The data used for the event study analysis (1980–2007) mainly come from the April 2010 World Economic Outlook (WEO) database, with a few exceptions that are documented below (http://www.imf.org/external/pubs/ft/weo/2010/01/index.htm). For the period from 2007–10 the data were updated with the September 2011 WEO (http://www.imf.org/external/pubs/ft/weo/2011/02/weodata/index.aspx). To reduce the number of missing observations, historical data on per capita consumption were reconstructed using growth rates from the Penn World Tables (version 6.3); (http://pwt.econ.upenn.edu/php_site/pwt63/pwt63_form.php).

Table A1.1.

List of Countries and Structural Characteristics of the Economy

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Source: IMF staff calculations.

As defined by the April 2010 World Economic Outlook.

Countries that on average had a share of commodity imports to total merchandise imports exceeding 40 percent over the sample period.

Countries that on average had a debt-to-GDP ratio exceeding 50 percent over the sample period.

Shock Variables

Aid flows are expressed in millions of U.S. dollars and exclude debt relief. Data are available from the OECD. Stat database at http://stats.oecd.org/Index.aspx.

A climatic event involves extreme temperature, drought, or wildfire as defined by the Centre for Research on the Epidemiology of Disasters. It must meet at least one of the following criteria: (1) 10 or more people reported killed, (2) 100 or more people reported affected, (3) a declaration of a state of emergency, (4) or a call for international assistance. Data are available through the International Disaster Database (http://www.emdat.be/database).

External-demand conditions are proxied with real GDP growth in trading partners as reported in the April 2010 Global Economic Environment database (IMF internal database).

FDI inflows are expressed in millions of U.S. dollars and taken from the April 2010 WEO database.

The terms-of-trade index is for goods only and comes from the April 2010 WEO database.

Economic Variables

The dummy for the exchange rate regime is based on Ghosh, Gulde, and Wolf (2002) and updated with the IMF’s Annual Report on Exchange Arrangements and Exchange Restrictions (AREAER) database.

The series capturing the presence of a financial program with the IMF comes from Dreher (2006) and is updated with the Monitoring of Fund Arrangements (MONA) database, at http://www.imf.org/external/np/pdr/mona/index.aspx.

External variables (such as current account, imports, and stock of international reserves) are expressed in billions of U.S. dollars and come from the April 2010 WEO for the period 1980–2007 and from the September 2011 WEO for the analysis on the global financial crisis.

Domestic variables, such as real GDP growth, real per capita consumption growth, real per capita investment, real per capita absorption, and overall fiscal balance, are also taken from the April 2010 and September 2011 WEO database. The overall fiscal balance variable is expressed in millions of national currency.

The data on the debt-to-GDP ratios come from Lane and Milesi-Ferretti’s database (2007) and are available at http://www.philiplane.org/EWN.html. Summary statistics on the variables used are provided in Table A2.3.

Appendix 2: Robustness Analysis

This appendix provides a robustness check for the event study analysis using alternative definitions of shocks and related losses. In particular, shocks were redefined in terms of a different threshold (i.e. 25th percentile) to capture a broader range of events and still control for heterogeneity among LICs, and a different distribution (i.e., whole sample) to abstract from a country’s specific circumstances while maintaining the focus on rare events. Furthermore, costs associated with shocks were recomputed, differentiating between “closed” and “open” events in each country to assess whether permanent factors might bias the analysis. A “closed” event is defined as a situation in which a country’s “shock” growth index catches up with its “no-shock” index within the sample period. By contrast, an “open” event (corresponding to some notion of permanence) is identified by a case in which the “shock” index is consistently above or below the “no-shock” index.

The results based on the 25th percentile threshold confirm previous findings.1 Compared to the analysis based on the 10th percentile threshold, shock episodes were more frequent and had a smaller size, but their relative importance did not change significantly (Table A2.1). Furthermore, the role of international reserves in buffering domestic economic activity was broadly confirmed, although the magnitude and duration of costs somewhat differed from the previous analysis (Figure A2.1). In particular, countries with reserve coverage above three months of imports prior to the shock event did not experience any loss in terms of forgone GDP growth after an external demand shock. Similarly, countries with higher reserve buffers suffered lower consumption losses under all shocks, particularly terms-of-trade shocks.

Table A2.1.

Frequency and Size of Shocks (25th percentile)

(Average values)

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Source: IMF staff calculations; World Economic Outlook April 2010. Note: FDI: foreign direct investment.

In percentage points of GDP.

Figure A2.1.
Figure A2.1.

Costs of External Shocks by Variable and Type of Shock (25th percentile)

(Losses computed with respect to pre-shock trend in percentage points; median values)

Sources: IMF, World Economic Outlook, April 2010; and IMF staff calculations.

Looking at shock episodes for the entire sample distribution did not alter the results.2 In this case, shocks were less frequent but larger in size, reflecting the fact that the bottom 10th percentile of the whole-sample distribution comprises events that are generally larger than those falling below the bottom 10th percentile of country-specific distributions (Table A2.2). Results based on this approach were broadly in line with the previous analysis, including the potential role of reserves as a buffer against external shocks. Except for shocks to FDI flows, costs in terms of GDP growth were insignificant for countries with reserve coverage above three months of imports prior to the shock event (Figure A2.2). Likewise, economies with reserves of more than three months of imports were better able to smooth consumption in the aftermath of shocks.

Table A2.2.

Frequency and Size of Shocks (Whole-Sample Distribution)

(Average values)

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Sources: IMF, World Economic Outlook, April 2010; and IMF staff calculations. Note: FDI: foreign direct investment.

In percentage points of GDP.

Figure A2.2.
Figure A2.2.

Costs of External Shocks by Variable and Type of Shock (Whole-Sample Distribution)

(Losses computed with respect to pre-shock trend in percentage points; median values)

Source: IMF, World Economic Outlook, April 2010; and IMF staff calculations.

The analysis did not seem to be biased by permanent factors. Specifically, cumulative losses associated with “closed” events were broadly consistent with those presented earlier. However, the magnitude of losses was generally smaller and their duration shorter, particularly for GDP losses as a result of external demand shocks, and consumption losses as a result of terms-of-trade shocks (Figure A2.3). This suggests that the role of international reserves as a buffer against external shocks is not significantly affected by the inclusion of permanent factors (i.e., “open” events) in the analysis.

Figure A2.3.
Figure A2.3.

Macroeconomic Performance by Level of Reserves and Structural Characteristics (“Closed” Events)

(Losses computed with respect to pre-shock trend in percentage points; median values)

Sources: IMF, World Economic Outlook, April 2010; and IMF staff calculations.
Table A2.3.

Macroeconomic Variables (1980–2007): Summary Statistics

(Percentage changes unless otherwise indicated; average values)

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Source: IMF staff calculations; World Economic Outlook April 2010.
Table A2.4.

Macroeconomic Impact of Shocks

(Annual percentage changes unless otherwise indicated; median values)

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Sources: IMF, World Economic Outlook, April 2010; and IMF staff calculations. Note: FDI: foreign direct investment.
Figure A2.4.
Figure A2.4.
Figure A2.4.

GDP and Consumption Costs by Type of Shock

(Losses computed with respect to pre-shock trend; median values; duration up to ten years)

Sources: IMF, World Economic Outlook, April 2010; and IMF staff calculations.
Figure A2.5.
Figure A2.5.
Figure A2.5.

GDP Costs by Type of Shock and Level of Reserves

(Losses computed with respect to pre-shock trend; median values; duration up to ten years)

Sources: IMF, World Economic Outlook, April 2010; and IMF staff calculations.
Figure A2.6.
Figure A2.6.
Figure A2.6.

Consumption Costs by Type of Shock and Level of Reserves

(Losses computed with respect to pre-shock trend; median values; duration up to ten years)

Sources: IMF, World Economic Outlook, April 2010; and IMF staff calculations.
Table A2.5.

SDR Allocations

(In millions of SDRs)

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Source: IMF, http://www.imf.org/external/np/tre/sdr/proposal/2009/0709.htm.

Countries that will receive allocations for the first time as a result of both the General and Special SDR Allocation.

Table A2.6.

Macroeconomic Impact of the Crisis

(Percent annual change unless other wise indicated; median values)

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Source: IMF, World Economic Outlook, September 2011; and IMF staff calculations.

Appendix 3: Data and Robustness Analysis of Optimal Reserves

This appendix discusses data sources for the regressions reported in Chapter 5, as well as the calibration exercise in Chapter 6, and reports robustness checks for the regression results.

Data

Growth variables

The growth rates of real GDP per capita, real consumption per capita, and real absorption per capita are all taken from the IMF’s World Economic Outlook (WEO) database. Real absorption was constructed using the data on real consumption and investment from the WEO database.

External shocks

External shock variables, namely, terms of trade, external demand, FDI, aid, remittances, and climatic events, are taken from the event study analysis discussed in Chapter 4. See Appendix 1 for data sources for these variables.

Fiscal policy

Four variables were considered as fiscal policy variables: government expenditure to GDP, government revenue to GDP, fiscal (overall) balance to GDP, and nominal revenue growth. Government expenditure, revenue, and overall balance, as well as nominal GDP, are all taken from the WEO database.

Monetary policy

Consumer Price Index (CPI) inflation and broad money growth rate were considered as monetary policy variables. Data on CPI inflation and broad money are taken from the WEO database.

External vulnerability

Two variables, current account deficit to GDP and external debt to GDP, were considered to capture external vulnerability. Current account deficit and external debt are both taken from the WEO database.

Openness

Trade openness was measured by the share of exports and imports in GDP, with data on exports and imports taken from the WEO database. Financial openness was also considered, using the share of foreign assets and liabilities in GDP. The data on the stock of foreign assets and liabilities are taken from Lane and Milesi-Ferretti (2007).

Financial development

Broad money to GDP and private credit to GDP were considered to measure financial sector development. The data on broad money and private credit are taken from the WEO database.

Exchange rate regime

Various measures of exchange rate regimes, both de facto and de jure regimes, were considered in the regression analysis, including Ghosh, Gulde, and Wolf (2002), Reinhart and Rogoff (2004), and the IMF’s Annual Report on Exchange Arrangements and Exchange Restrictions (AREAER) database (www.imfareaer.org).

Institutions

CPIA index was used to measure institutional quality. The data on CPIA are taken from the World Bank at http://www.worldbank.org/ida/IRAI-2011.html.

International reserves

The data on international reserves are taken from the WEO database. Both import coverage and the share of reserves in GDP were considered.

IMF program

The IMF program dummy was taken from Dreher (2006) and updated using the IMF database.

Robustness Analysis

Table A3.1. reports the robustness of the probit regression across various subsamples. We find that the reserves variable remains highly significant and of the expected sign, except when the sample is reduced substantially by dropping African countries. Table A3.2. further reports the probit estimation results using real consumption per capita drops as the relevant dependent variable. The results are similar to those for absorption drops: The coefficients on reserves are statistically significant and of the expected sign, and broadly similar across specifications and estimation methods. These results are also robust across various subsamples.

Table A3.1.

Absorption Drop Probit Regression: Robustness Check

(Panel probit regression, 1990–2007)

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Source: IMF staff estimates. Note: Standard errors are in parentheses. *, **, and *** indicate statistical significance at 10 percent, 5 percent, and 1 percent, respectively. Regional country groups are defined as follows: AFR: Africa; MCD: Middle East and Central Asia; EUR:Europe; APD: Asia Pacific; and WHD:Western Hemisphere. CPIA: Country Policy and Institutional Assessment.
Table A3.2.

Probability of Consumption Drops

(Panel probit regression, 1990–2007)

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Source: IMF staff estimates. Note: Standard errors are in parentheses. *, **, and *** indicate statistical significance at 10 percent, 5 percent, and 1 percent, respectively. Regional country groups are defined as follows: AFR: Africa; MCD: Middle East and Central Asia; EUR: Europe; APD: Asia Pacific; and WHD: Western Hemisphere.

Table A3.3. summarizes the robustness checks for the fixed-effects ordinary least squares (OLS) regressions for absorption loss across various subsamples. The regression results are again robust to different ways of cutting the sample. In particular, the reserve variable remains significant, with the expected sign across most specifications. Table A3.4. reports robustness checks for the fixed effects OLS regressions with consumption losses as the relevant dependent variable. Reserves and the exchange rate regime are statistically significant and largely robust to different sample restrictions, but other variables are either insignificant or only marginally significant.

Table A3.3.

Absorption Loss Regression: Robustness Check

(Fixed effects regression with the probit sample)

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Source: IMF staff estimates. Note: Robust standard errors are in parentheses. *, **, and *** indicate statistical significance at 10 percent, 5 percent, and 1 percent, respectively. All specifications include country fixed effects, but they are not reported in the table. Regional country groups are defined as follows: AFR: Africa; MCD: Middle East and Central Asia; EUR: Europe; APD: Asia Pacific; WHD: Western Hemisphere. FDI: foreign direct investment.
Table A3.4.

Consumption Loss Regression

(Fixed effects regression with the probit sample)

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Source: IMF staff estimates Note: Robust standard errors are in parentheses. *, **, and *** indicate statistical significance at 10 percent, 5 percent, and 1 percent, respectively. All specifications include country fixed effects, but they are not reported in the table. Regional country groups are defined as follows: AFR: Africa; MCD: Middle East and Central Asia; EUR: Europe; APD: Asia Pacific; and WHD: Western Hemisphere. FDI: foreign direct investment.

In sum, both the probit and the fixed-effects OLS regression results are broadly robust to various sample restrictions for both real absorption and consumption per capita. Lastly, Table A3.5. reports sensitivity analysis of calibration results, using various parameter assumptions, as discussed in Chapter 6.

Table A3.5.

Sensitivity Analysis of Calibrated Optimal Reserves

(In months of imports)

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Source: IMF staff estimates. Note: Country groups are defined as follows: AFR: Africa; COM: commodity exporters; Non-COM: non-commodity exporters; and FRG: fragile states. Data type indicates shock values considered are for the bottom 5th (Bot 5), 10th (Bot 10), or 25th (Bot 25) percentile of the group-specific distribution instead of the median.
1

Results for shocks to climatic conditions are not available due to data limitations.

2

The threshold used for this exercise is still the 10th percentile of the distribution. Due to data limitations, results for shocks to climatic conditions are not available.

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Index

[Page numbers followed by f, n or t refer to figures, footnotes or tables, respectively.]

A

Absorption

  • crisis definition, 27–28

  • historical patterns in LICs, 44–46t

  • loss regression, 31t, 33, 60, 62t

  • reserve coverage effects on shock outcomes, 14, 18f, 31-32, 33, 37, 60, 62t

  • role of reserve holdings, 37

  • See also Crisis

Advanced and emerging markets

  • cost of holding reserves, 25

  • reserve accumulation trends, 20, 20f

  • shock risk in, 3, 25

Agriculture sector, 3, 4f

Aid. See Foreign direct investment and aid

B

Broad money coverage, 20–21, 23

C

Climatic shocks

  • definition, 38

  • geographical distribution, 9

  • in island economies, 12

  • outcomes, 9, 12, 12f, 42t, 47–49t, 50–55f

  • reserve coverage effects in mediating, 54–55f

  • risk, 8

Commodity-exporting and -importing countries

  • effectiveness of reserves in mediating shock effects in, 16, 17–19, 18f, 43, 43f, 54–55f

  • reserve adequacy in, 34

  • reserve coverage trends, 23, 23t

  • shock outcomes in, 12, 1, 9, 9n, 13, 37, 47–48t, 50–51f, 52–53f, 57t

Consumption

  • crisis conditions, 28, 28t

  • effects of recent global financial crisis, 16–19, 17f, 18f

  • historical patterns in LICs, 44–46t

  • loss regression, 62t

  • outcomes of shocks in LICs, 6, 6f, 9, 12, 13f, 16f, 50–51f

  • probability, 61t

  • reserve coverage effects on shock outcomes, 14, 14f, 16, 18f, 54–55f

Cost of external shocks

  • absorption losses, 31t, 31-32, 33, 37, 60, 62t

  • event study analysis, 7–8, 7n, 8f

  • modeling methodology, 2, 25–28

  • output losses, 5, 6f

  • reserve depletion, 9, 15f

  • structural characteristics of country and, 1, 2, 7, 8, 9, 11f, 12, 15f, 16, 16f, 37

  • by type of shock, 12f, 37, 41f, 42f, 47–49t, 50–55f

  • welfare losses, 6

  • See also Growth outcomes of shocks

Country Policy and Institutional Assessment, 28, 28n.

  • See also Policy and institutional quality

Crisis

  • definition, 27–28

  • determinants of absorption loss severity, 31–32

  • growth rate outcomes, 28t

  • probability factors, 28–30, 29t, 30f, 30t

E

East Asia, 9

Eastern Europe, 9

Emerging markets. See Advanced

  • and emerging markets

Event study analysis, 7–8, 38

  • robustness, 41–43, 60, 60t

Exchange rate policies

  • consumption drop probability and, 61t

  • crisis probability and, 28–30, 30f, 30t

  • crisis severity and, 31–32, 31t

  • data sources, 8n, 38, 58

  • reserve accumulation trends and, 21, 22f, 23

  • reserve adequacy and, 2, 16, 21, 34, 35f, 36, 54f

  • shock effects and, 1, 2, 6, 7, 8, 9, 12, 13, 16, 37, 47t, 50f, 52f, 54f

External-demand shocks

  • data sources, 38

  • definition, 7

  • outcomes, 9, 12, 12f, 13f, 16f, 41f, 42f, 42t, 43f, 47–49t, 50–55f

  • reserve coverage effects in mediating, 13, 14, 14f, 15f, 54–55f

  • size and severity, 27f

External shocks, generally

  • data sources, 38, 58

  • definition, 7, 7f, 7n, 26–27, 41

  • forms of, 3, 3t, 7, 26, 27f. See also specific form

  • frequency, 3, 3t, 8–9, 9t, 10t, 42t

  • geographic distribution, 9, 10t

  • probability modeling, 25–26

  • size and severity, 9, 9t, 10t, 27f, 42t

  • trends, 4–5

  • vulnerability of low-income countries, 1, 3–5, 37

  • See also Costs of external shocks

F

Foreign direct investment and aid

  • absorption loss mitigation in shocks from, 31, 31t

  • data sources, 38

  • frequency of shocks to, 8, 9

  • geographic distribution of shocks to, 9

  • historical patterns in LICs, 44–46t

  • outcomes of shocks in, 9, 12, 12f, 42t, 47–49t, 50–55f

  • reserve coverage effects in mediating shocks to, 13, 14, 54–55f

  • size and severity of shocks, 9, 27f

  • vulnerability of LICs to shocks in, 25

Fragile states, reserve adequacy in, 2, 33, 34, 36

G

Global financial crisis (2007–10), 4, 7, 16–19

Globalization, 4–5, 5f

Government debt

  • cost of shock and, 37

  • crisis probability and, 28, 29, 30t

  • data sources, 40

  • historical patterns in LICs, 44–46t

Growth outcomes of shocks

  • crisis probability, 28

  • data sources, 38–40, 58

  • effects of recent global financial crisis, 16–19, 17f, 18f

  • event study analysis, 7–8, 7n

  • loss regression, 62–63t

  • macroeconomic volatility and, 6, 6f, 9–13, 11f, 37

  • mechanism, 5–6

  • positive shocks, 4, 5

  • reserve coverage effects, 13–14, 14f, 18f

  • by shock type, 12f, 50–55f

  • structural characteristics of country and, 12, 13f, 16f

H

Heavily-indebted LICs

  • definition, 9n

  • reserve coverage effects in mediating shocks in, 16, 17–19, 18f, 55f

  • shock outcomes, 49t, 51f, 53f, 58t

I

International Monetary Fund programs

  • consumption drop probability and, 61t

  • crisis probability in countries with, 28–29, 30f, 30t

  • data sources, 38, 60

  • reserve adequacy in countries with, 34

  • reserve coverage effects in mediating shocks in countries with, 55f

  • SDR allocations, 17, 36, 56t

  • shock outcomes in countries with, 2, 8n, 9, 12, 13, 16, 17–19, 18f, 49t, 51f, 53f, 58t

International reserves

  • costs of recent global financial crisis, 16–17, 17f

  • data sources, 58

  • effects of shocks on, 9, 15f, 16, 16f

  • historical patterns in LICs, 44–46t

  • nonprecautionary role, 1n

  • opportunity cost of, 6, 21–23, 25

  • rationale for holding, 1, 6, 13, 25, 37

  • as self-insurance, 26

  • See also Reserve adequacy

Investment

  • effects of shocks, 5–6

  • historical patterns in LICs, 44–46t

  • in mediating shock effects, 14

  • reserve coverage effects on shock outcomes, 17, 18f

  • See also Foreign direct investment and aid

Island countries

  • reserve coverage effects in mediating shocks in, 16, 17, 18f, 55f

  • shock outcomes in, 1, 9, 12, 13, 48t, 51f, 53f, 57t

L

Latin America, 9

LICs. See Low income countries

Low income countries (LICs)

  • cost of reserve holding, 25

  • definition, 1

  • effects of global financial crisis, 16–19

  • global integration, 4–5, 5f

  • list of, 38–40t

  • macroeconomic volatility, 6, 6f, 44–46t

  • reserve coverage trends, 20–21, 23–24, 23t, 24f

  • structural characteristics of, 38–40t

  • vulnerability to external shocks, 1, 2, 3–5, 25, 37

  • See also Cost of external shocks; Heavily-indebted LICs

M

Macroeconomic functioning

  • historical patterns in LICs, 44–46t

  • shock impacts, 6, 6f, 9–13, 11f, 37, 43f, 47–49t, 57–58t

Market concentration, 4f

Middle East, 9

N

Natural disasters, 3

Net benefit of holding reserves, 25–26

O

Oil-exporting countries

  • list of, 38–40t

  • reserve coverage effects in mediating shocks in, 54f

  • reserve coverage trends, 21, 22f

  • shock outcomes in, 48t, 50f, 52f, 57t

P

Policy and institutional quality

  • crisis probability and, 28, 29, 30t

  • data sources, 58

  • reserve adequacy and, 34–35, 35f

Political shocks. See Socio-political shocks

Positive shocks

  • government spending and, 4

  • growth outcomes, 5

Pre-shock trends, 8n, 37

R

Reserve adequacy

  • assessment methodology, 1–2, 7–8, 25–28, 33–34, 38–40

  • consumption drop probability and, 61t

  • cost of holding reserves in assessment of, 33, 34

  • crisis probability and, 28–30, 29t, 30f, 30t

  • crisis severity and, 31, 31t

  • demand modeling for calculation of, 21–23

  • effectiveness in mediating shock outcomes, 13–14, 14f, 54–55f, 57–58t

  • effects of global financial crisis mediated by, 17

  • import coverage, 1, 2, 13, 14, 16, 17, 20–21, 34, 37

  • recent trends, 20–21, 20f, 22f, 23–24, 23t

  • regional comparison, 23–24, 24f

  • research findings, 1, 2, 34–36, 37

  • structural characteristics of economy as factor in, 17–19, 18f, 34–36, 43f

  • See also International reserves, generally

S

Shocks. See Cost of external shocks; External shocks, generally

Socio-political shocks, 3, 6

Sub-Saharan Africa, 5, 9, 21

T

Terms-of-trade shocks

  • absorption loss mitigation, 31, 31t

  • data sources, 38

  • definition, 7

  • frequency, 3, 8–9

  • global distribution, 4f

  • outcomes, 9, 11f, 12, 12f, 16f, 37, 41f, 42f, 42t, 43f, 47–49t, 50–55f

  • reserve coverage effects in mediating, 14, 14f, 15f, 16, 54–55f

  • size and severity, 27, 27f

Trade

  • export concentration, 4f

  • import coverage of reserves, 1, 2

  • outcomes of recent global financial crisis in external balances, 16

  • sources of vulnerability to shocks, 3–4, 4f

  • See also Commodity-exporting and -importing countries; External demand shocks; Terms-of-trade shocks

  • Collapse
  • Expand
  • View in gallery
    Figure A2.1.

    Costs of External Shocks by Variable and Type of Shock (25th percentile)

    (Losses computed with respect to pre-shock trend in percentage points; median values)

  • View in gallery
    Figure A2.2.

    Costs of External Shocks by Variable and Type of Shock (Whole-Sample Distribution)

    (Losses computed with respect to pre-shock trend in percentage points; median values)

  • View in gallery
    Figure A2.3.

    Macroeconomic Performance by Level of Reserves and Structural Characteristics (“Closed” Events)

    (Losses computed with respect to pre-shock trend in percentage points; median values)

  • View in gallery
    Figure A2.4.

    GDP and Consumption Costs by Type of Shock

    (Losses computed with respect to pre-shock trend; median values; duration up to ten years)

  • View in gallery
    Figure A2.5.

    GDP Costs by Type of Shock and Level of Reserves

    (Losses computed with respect to pre-shock trend; median values; duration up to ten years)

  • View in gallery
    Figure A2.6.

    Consumption Costs by Type of Shock and Level of Reserves

    (Losses computed with respect to pre-shock trend; median values; duration up to ten years)

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