Foster–Greer–Thorbecke indices

The Foster–Greer–Thorbecke indices are a family of poverty metrics. The most commonly used index from the family, FGT₂, puts higher weight on the poverty of the poorest individuals, making it a combined measure of poverty and income inequality and a popular choice within development economics. The indices were introduced in a 1984 paper by economists Erik Thorbecke, Joel Greer, and James Foster.^[1][2]

The individual indices within the family are derived by substituting different values of the parameter α into the following equation:

${\displaystyle FGT_{\alpha }={\frac {1}{N}}\sum _{i=1}^{H}\left({\frac {z-y_{i}}{z}}\right)^{\alpha }}$

where z is the poverty threshold, N is the number of people in the economy, H is the number of poor (those with incomes at or below z), y_i is the income of each individual i. If ${\displaystyle \alpha }$ is low then the FGT metric weights all the individuals with incomes below z roughly the same. The higher the value of α, the greater the weight place on the poorest individuals. The higher the FGT statistic, the more poverty there is in an economy.

FGT₀ and FGT₁

With α = 0, the formula reduces to the headcount ratio: the fraction of the population that lives below the poverty line.

${\displaystyle FGT_{0}={\frac {H}{N}}}$

With α = 1, the formula reduces to the poverty gap index.

${\displaystyle FGT_{1}={\frac {1}{N}}\sum _{i=1}^{H}\left({\frac {z-y_{i}}{z}}\right)}$

The FGT₁ can be rewritten as:

${\displaystyle FGT_{1}={\frac {H}{N}}\left({\frac {z-{\bar {y}}_{p}}{z}}\right)}$ ,

where ${\displaystyle {\bar {y}}_{p}=\sum _{i=1}^{H}{\frac {y_{i}}{H}}}$ is the average income of the poor. Thus, the FGT₁ can be expressed as the product of the FGT₀ and the average income gap of the poor.

FGT₂

While the two reduced indexes are widely used, the most common FGT-specific index in development economics is the α = 2 version, which is the lowest (whole) parameter to weigh income inequality along with poverty.

${\displaystyle FGT_{2}={\frac {1}{N}}\sum _{i=1}^{H}\left({\frac {z-y_{i}}{z}}\right)^{2}}$

The FGT₂ can be rewritten as:

${\displaystyle FGT_{2}={\frac {H}{N}}[\mu ^{2}+(1-\mu ^{2})C_{v}^{2}]}$

where C_v is the coefficient of variation among the incomes of the poor, H is the total number of the poor, and μ is given by:

${\displaystyle \mu ={\frac {1}{H}}\sum _{i=1}^{H}\left({\frac {z-y_{i}}{z}}\right)}$.

Other decompositions of the index are also possible.^[3] The only measure that combines FGT₀, FGT₁, and the Gini index is the Sen index.^{[citation needed]}

In Mexico, this version of the index was used to allocate federal government funds between regions for educational, health, and nutritional programs benefiting the poor. In 2010, the Government of Mexico adopted a multidimensional poverty measure based on a variant of the FGT measure that is to be used in targeting the allocation of social funds to poor households at the municipality level.^[4]

Notes

1. Foster, James; Joel Greer; Erik Thorbecke (1984). "A class of decomposable poverty measures". Econometrica. 3. 52 (3): 761–766. doi:10.2307/1913475. JSTOR 1913475.
2. James Foster; Joel Greer; Erik Thorbecke (28 May 2010). "The Foster–Greer–Thorbecke (FGT) poverty measures: 25 years later". The Journal of Economic Inequality. 8 (4): 491–524. doi:10.1007/s10888-010-9136-1. S2CID 154262151.
3. Mauricio Olavarria-Gambi: "Poverty Reduction in Chile: has economic growth been enough?" Archived 2009-09-20 at the Wayback Machine, Journal of Human Development, Vol. 4, No. 1, 2003
4. http://www.economics.cornell.edu/et17/ET-Short%20bio%202013.doc. {{cite web}}: Missing or empty |title= (help)