Measuring economic vulnerability: a Structural Equation Modeling approach
This page collects data and further results from Ambra Altimari, Simona Balzano, and Gennaro Zezza "Measuring economic vulnerability: A Structural Equation Modeling approach"
In this work we propone alternative measures of economic vulnerability, which are compared to the Economic Vulnerability Index
We have four indices: the first two are weighted averages, while the next two are estimated using the Partial Least Squares - Structural Equation Modeling (PLS-SEM) approach.
The following variables are the components of the EVI index. They can be downloaded from the FERDi page
Code |
Variable |
Definition |
Avail. |
Source |
POP |
Population, total. Log transformation |
Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin. The values are midyear estimates. |
1975-2013 |
UN-PD |
REMOTE |
Distance from main world markets - adjusted for landlockedness |
Remoteness is measured as a weighted average of the distance to the main world markets. Weights are given by the minimum average distance to a significant fraction of the world market and choose the threshold of one third. The minimum distance is the minimum average distance to reach a given size of the world markets. It fits requirements, because it is an exogenous measure and weights differ for each country. Guillaumont (2007b) |
1975-2013 |
CEPII; UNSD-NA |
EXPCON |
Concentration and diversification indices of merchandise exports and imports by country |
Export concentration measures the degree of market concentration. We use the standardized Herfindahl-Hirschmann index published by UNCTAD. Values vary between 0 and 1, with 0 corresponding to absence of concentration (maximum diversification), 1 corresponding to maximum concentration. |
1975-2013 |
UNCTAD Stat |
AGRSH |
Share of Agriculture, Forestry and Fishing in GDP |
Calculated dividing the value added of agriculture, hunting, forestry and fishing by the total gross value added of all sectors in the economy |
1975-2013 |
UNSD-NA |
COAST |
Share of population in low elevated coastal zones |
Calculated by dividing the number of people living in areas contiguous to the coast with an elevation of less than five meters by the total population of the country |
1990-2013 |
CIESIN |
VICTIMS |
Population affected by natural disasters |
Total affected are people that have been injured, affected and left homeless after a disaster are included in this category. |
1979-2013 |
EM-DAT |
AGRINST |
Instability of agricultural productions |
Calculated by estimating the trend of agricultural production by a mixed-trend linear regression and using the standard deviation of the difference between trend and actual values as a measure of instability |
1980-2013 |
FAOSTAT |
EXPINST |
Instability of total exports |
Instability of total exports measures the volatility of total exports of goods and services. It is a proxy for the risk of shocks in the exports revenues. Calculated by estimating the trend of export earnings by a mixed-trend linear regression and using the standard deviation of the difference between trend and actual values as a measure of instability |
1990-2013 |
UNSD-NA |
Code |
Variable |
Definition |
Avail. |
Source |
SURFACE |
Surface area (sq. km). Logs |
Surface area is a country's total area, including areas under inland bodies of water and some coastal waterways. Following the procedure in Feindouno-Goujon (2015) we chose a lower bound for surface at 1000sq.km, and an upper bound at 2.5 million sq.km. The final index is obtained from |
1960-2016 |
WB-WDI |
IMPCONC |
Concentration index for imports |
Import concentration measures the degree of market concentration. We use the standardized Herfindahl-Hirschmann index published by UNCTAD. Values vary between 0 and 1, with 0 corresponding to absence of concentration (maximum diversification), 1 corresponding to maximum concentration. |
1995-2016 |
UNCTAD Stat |
FDI |
Foreign direct investment, net inflows (% of GDP) |
Incoming FDI may help finance investment and growth, but reliance on FDI may increase the probability of being hit by an adverse financial shock. When net incoming FDI were negative, they have been set to zero. We assume that FDI affect both exposure and resilience |
1970-2016 |
WB-WDI |
AID |
Official Development Assistance and Official Aid (% of GDP) |
Net official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institutions, and by non-DAC countries to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. It includes loans with a grant element of at least 25 percent (calculated at a rate of discount of 10 percent). |
1960-2015 |
WB-WDI |
FDEBT |
Net flows on external debt, public and publicly guaranteed (% of GDP) |
Public and publicly guaranteed long-term debt are aggregated. Public debt is an external obligation of a public debtor, including the national government, a political subdivision (or an agency of either), and autonomous public bodies. Publicly guaranteed debt is an external obligation of a private debtor that is guaranteed for repayment by a public entity. Net flows (or net lending or net disbursements) received by the borrower during the year are disbursements minus principal repayments. Long-term external debt is defined as debt that has an original or extended maturity of more than one year and that is owed to nonresidents by residents of an economy and repayable in currency, goods, or services. Data are in current U.S. dollars, scaled by GDP in current U.S. dollars. We set to zero negative values, before computing the index. |
1970-2016 |
WB-WDI |
DEBTS |
Debt service on external debt, public and publicly guaranteed (% of GDP) |
Public and publicly guaranteed debt service is the sum of principal repayments and interest actually paid in currency, goods, or services on long-term obligations of public debtors and long-term private obligations guaranteed by a public entity. Data are in current U.S. dollars, scaled by GDP in current U.S. dollars. We chose to apply an upper bound to 200 percent of GDP |
1970-2016 |
WB-WDI |
GFCF |
Gross fixed capital formation (% of GDP) |
Gross fixed capital formation includes land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, offices, hospitals, private residential dwellings, and commercial and industrial buildings. According to the 1993 SNA, net acquisitions of valuables are also considered capital formation. Data are in current U.S. dollars, scaled by GDP in current U.S. dollars. |
1970-2016 |
WB-WDI |
CC |
Control of corruption |
Control of Corruption captures perceptions of the extent to which public power is exercised for private gain, including both petty and grand forms of corruption, as well as "capture" of the state by elites and private interests. Estimate gives the country's score on the aggregate indicator, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5. |
1996-2016 |
WB-WGI |
GE |
Government effectiveness |
Government Effectiveness captures perceptions of the quality of public services, the quality of the civil service and the degree of its independence from political pressures, the quality of policy formulation and implementation, and the credibility of the government's commitment to such policies. Estimate gives the country's score on the aggregate indicator, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5. |
1996-2016 |
WB-WGI |
PS |
Political stability |
Political Stability and Absence of Violence/Terrorism captures perceptions of the likelihood that the government will be destabilized or overthrown by unconstitutional or violent means, including politically-motivated violence and terrorism. Estimate gives the country's score on the aggregate indicator, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5. |
1996-2016 |
WB-WGI |
RL |
Rule of Law |
Rule of Law captures perceptions of the extent to which agents have confidence in and abide by the rules of society, and in particular the quality of contract enforcement, property rights, the police, and the courts, as well as the likelihood of crime and violence. Estimate gives the country's score on the aggregate indicator, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5. |
1996-2016 |
WB-WGI |
RQ |
Regulatory Quality |
Regulatory Quality captures perceptions of the ability of the government to formulate and implement sound policies and regulations that permit and promote private sector development. Estimate gives the country's score on the aggregate indicator, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5. |
1996-2016 |
WB-WGI |
VA |
Voice and Accountability |
Voice and Accountability captures perceptions of the extent to which a country's citizens are able to participate in selecting their government, as well as freedom of expression, freedom of association, and a free media. Estimate gives the country's score on the aggregate indicator, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5. |
1996-2016 |
WB-WGI |
The PLS-SEM methodology does not allow for missing observations. In order to prevent a large loss in countries/years, we filled some gaps in the variables, as detailed below.
Assumptions to reduce the number of missing observations
Variable | Country interested | Years | Procedure adopted |
---|---|---|---|
Population size | Eritrea | 2012-2013 | Estimated on recent growth rates |
Net FDI inflow | Burundi | 2002-2003 | Set at zero |
Bhutan | 1998 | interpolated | |
Bhutan | 2000-2001 | interpolated | |
Algeria | 1995 | Same as 1996 | |
Eritrea | 1995 | Same as 1996 | |
Eritrea | 2012-2013 | Set at zero | |
Gambia | 1998-99 | interpolated | |
Lebanon | 1995-1999 | Set at zero | |
Libya | 2011-2013 | Set at zero | |
Nepal | 1995 | Same as 1996 | |
Sao Tome | 1995-2000 | Set at zero | |
Net Aid | Bahamas | 2005-2013 | Set at zero |
Gabon | 2012-2013 | Set equal to 2011 | |
Korea | 2005-2013 | Set at zero | |
Sri Lanka | 2012-2013 | Set equal to 2011 | |
Oman | 2011-2013 | Set at zero | |
Qatar | 2005-2013 | Set at zero | |
Saudi Ara | 1995-2000 | Set at zero | |
Saudi Ara | 2010-2013 | Set at zero | |
Trinidad a | 2011-2013 | Set equal to 2010 | |
Net flows on ext.debt | Gabon | 2012-2013 | Estimated from WB data |
Sri Lanka | 2012-2013 | Estimated from WB data | |
Saudi Arabia | 1995-2000 | Set at zero | |
Debt service on GDP | Gabon | 2012-2013 | Estimated from WB data |
Sri Lanka | 2012-2013 | Estimated from WB data | |
Saudi Arabia | 1995-2000 | Set at zero | |
Gross fixed capital formation | Angola | 1995 | Same as 1996 |
Cabo Verde | 1995-2005 | Estimated from India (regression) | |
Djibouti | 2008-2013 | Estimated from Madagascar (regression) | |
Eritrea | 2012-2013 | Average of past three years | |
Ethiopia | 1995-2011 | Taken from IMF | |
Fiji | 2009-2012 | Estimated from IMF | |
Laos | 1995-1999 | Estimated from regression (ECA) | |
Lybia | 2009-2013 | Estimated from changes in IMF data (not comparable...) | |
Lesotho | 1995-2006 | Estimated from changes in IMF data (notcomparable...) | |
Maldives | all | Taken from IMF | |
Nicaragua | 1995-2005 | Estimated from IMF | |
Papua New Guinea | 2005-2013 | Estimated from changes in Solomon Islands (not comparable...) | |
Solomon I | 1995-1997 | Estimated from changes in IMF data (not comparable...) | |
Solomon I | 2007-2013 | Estimated from changes in IMF data (not comparable...) | |
Sao Tome | 1995-2000 | Estimated from changes in Gabon data (not comparable...) | |
Sao Tome | 2001-2013 | Taken from IMF | |
Tonga | 2013 | Equal to 2012 | |
Zambia | 1995-2009 | Estimated from changes in IMF data (similar) | |
% affected by natural disasters | Eritrea | 2012-2013 | Set at zero |
Governance variables | All countries | 1995/1997/1999/2001 | Equal to value next year |
Web site data updated on January 2, 2018. Data for the paper last updated on September 13, 2017.