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Mean log deviation

In statistics and econometrics, the mean log deviation (MLD) is a measure of income inequality. The MLD is zero when everyone has the same income, and takes larger positive values as incomes become more unequal, especially at the high end.

Definition edit

The MLD of household income has been defined as[1]

 

where N is the number of households,   is the income of household i, and   is the mean of  . Naturally the same formula can be used for positive variables other than income and for units of observation other than households.

Equivalent definitions are

 

where   is the mean of ln(x). The last definition shows that MLD is nonnegative, since   by Jensen's inequality.

MLD has been called "the standard deviation of ln(x)",[1] (SDL) but this is not correct. The SDL is

 

and this is not equal to the MLD.

In particular, if a random variable   follows a log-normal distribution with mean and standard deviation of   being   and  , respectively, then

 

Thus, asymptotically, MLD converges to:

 

For the standard log-normal, SDL converges to 1 while MLD converges to 1/2.

Related statistics edit

The MLD is a special case of the generalized entropy index. Specifically, the MLD is the generalized entropy index with α=0.

References edit

  1. ^ a b Jonathan Haughton and Shahidur R. Khandker. 2009. The Handbook on Poverty and Inequality. Washington, DC: The World Bank.

External links edit

mean, deviation, statistics, econometrics, mean, deviation, measure, income, inequality, zero, when, everyone, same, income, takes, larger, positive, values, incomes, become, more, unequal, especially, high, contents, definition, related, statistics, reference. In statistics and econometrics the mean log deviation MLD is a measure of income inequality The MLD is zero when everyone has the same income and takes larger positive values as incomes become more unequal especially at the high end Contents 1 Definition 2 Related statistics 3 References 4 External linksDefinition editThe MLD of household income has been defined as 1 M L D 1 N i 1 N ln x x i displaystyle mathrm MLD frac 1 N sum i 1 N ln frac overline x x i nbsp where N is the number of households x i displaystyle x i nbsp is the income of household i and x displaystyle overline x nbsp is the mean of x i displaystyle x i nbsp Naturally the same formula can be used for positive variables other than income and for units of observation other than households Equivalent definitions are M L D 1 N i 1 N ln x ln x i ln x ln x displaystyle mathrm MLD frac 1 N sum i 1 N ln overline x ln x i ln overline x overline ln x nbsp where ln x displaystyle overline ln x nbsp is the mean of ln x The last definition shows that MLD is nonnegative since ln x ln x displaystyle ln overline x geq overline ln x nbsp by Jensen s inequality MLD has been called the standard deviation of ln x 1 SDL but this is not correct The SDL is S D L 1 N i 1 N ln x i ln x 2 displaystyle mathrm SDL sqrt frac 1 N sum i 1 N ln x i overline ln x 2 nbsp and this is not equal to the MLD In particular if a random variable X displaystyle X nbsp follows a log normal distribution with mean and standard deviation of log X displaystyle log X nbsp being m displaystyle mu nbsp and s displaystyle sigma nbsp respectively then E X exp m s 2 2 displaystyle EX exp mu sigma 2 2 nbsp Thus asymptotically MLD converges to ln exp m s 2 2 m s 2 2 displaystyle ln exp mu sigma 2 2 mu sigma 2 2 nbsp For the standard log normal SDL converges to 1 while MLD converges to 1 2 Related statistics editThe MLD is a special case of the generalized entropy index Specifically the MLD is the generalized entropy index with a 0 References edit a b Jonathan Haughton and Shahidur R Khandker 2009 The Handbook on Poverty and Inequality Washington DC The World Bank External links editUS Census Bureau Mean Log Deviation MLD Retrieved from https en wikipedia org w index php title Mean log deviation amp oldid 1190604314, wikipedia, wiki, book, books, library,

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