ࡱ> dfcq` LUbjbjqPqP .X:: ###8($,T$2%(,%,%(T%T%T% t% %u1w1w1w1w1w1w1$ 3ht519q+T%T%q+q+1T%T%1E.E.E.q+0T%T%u1E.q+u1E.E.E.T%$ 0#,E..102E.6Y-6E.6E.\%j'XE.()%%%11-X%%%2q+q+q+q+DLL Indiaat the end of the Moghul rule (around 1750) Social groupPercentage of populationPercentage of total incomeIncome in terms of per capita mean Tribal economy1030.3Nobility, zamindars11515Merchants to sweepers17372.2Village economy72450.6Total1001001 Indiaat the end of the British rule (1947) Social groupPercentage of populationPercentage of total incomeIncome in terms of per capita mean Landless peasants1740.2Tribal economy720.3Sharecroppers, tenants29120.4Working land proprietors20180.9Petty traders, govt. & industrial workers17301.8Village renters9202.2Nobility, Indian capitalists0.9499.6British officials, traders0.06583.3Total1001001Note: Zamindars were large landowners. The data refer to the entire Indian subcontinent (todays India, Pakistan and Bangladesh). Income distribution data: The source of both data sets is Maddison (2002), which in turn are based on Maddison (1971: pp. 33 and 69). Maddison (2002) gives only population and income shares, but if we combine this information with Maddisons own estimates of GDI per capita for India (see below), we can calculate $PPP income estimates for each social group. Indian Moghul data present a particular problem because there are only 4 social classes given. Since their incomes are vastly different, and the largest group (72 percent; village economy) is in the middle of income distribution, probably spanning people with very different incomes, Gini2 is unusually some 27 percent higher than the minimum Gini (G2 is 48.9 vs. Gini minimum 38.5). Discussion: Note that a part (but only a part) of high Indian inequality around the time of the independence from Great Britain is caused by very high incomes of the British in India. According to Maddison, 0.06 percent of the population (British officials and businessmen) received 5 percent of total income which made their average per capita income more than $PPP 51,000 per year (and would place them in the top 5 percent of todays US income distribution). Yet, despite these incomes being extravagantly high, this is only a part of the story since the Gini without the British is still at a rather high level of 45 (as opposed to 48-49 with them). Consequently, the main cause of the very high inequality is a very low income level of the poor classes. One can also compare the without-the-British inequality in India in 1947 to the inequality results derived from the first Indian National Sample Survey (NSS) conducted in 1951. The expenditure-based NSS Gini is only 36. So(1) are expenditures significantly more equally distributed, compared to income, than we would expect (a conventional adjustment, suggested by Li, Squire and Zou (1998), is 5 to 6 Gini points while here the difference is 9 Gini points), or (2) is Maddison overestimating Indias 1947 inequality; or (3) is he underestimating income of Indias poor, or (4) did inequality go down by several Gini points between the end of the British raj and 1951? Population and area: The Indian population in 1750 is estimated from Maddison (2003: appendix HS-8, Table 8a, p. 256). Interpolation based on the data for 1700 and 1820. The population for 1947 is taken directly from Maddison (2003). For both dates, the area includes the entire Indian subcontinent (todays India, Pakistan and Bangladesh). Urbanization rate: For 1750, from Bergier and Matthieu (2002: Table 1, original sources given there). Obtained by interpolation from the urbanization rates of the Indian subcontinent of 11-13 % in 1700 and 9-12% in 1800. These latter rates are as given in Bairoch (1985, p. 513). For 1947, obtained as interpolation between the urbanization rate of 14.1% in 1941 and 17.6% in 1951 (Mohan, 1985: Table 1, p. 621). As a corroboration, for 1940, Bairoch (1985, p. 513) gives a range between 14 and 16 percent. Mean income in $PPP: From Maddison (2004). For around 1750, we assume the same income as in 1820 (the first year in Maddisons series). For 1947, the value is taken directly from Maddison (2004). REFERENCES Bairoch, Paul (1985), De Jricho Mexico: villes et economies dans l histoire, Paris: Arcades, Gallimard. Bergier, Jean Francois and Jon Matthieu (2002),  The Mountains in Urban Development, paper presented at the XIII World Congress of the International Economic History Association, Buenos Aires, July 2002. Available at  HYPERLINK "http://eh.net/XIIICongress/cd/papers/33BergierMathieu422.pdf#search=%22urbanization%20rate%20british%20india%22" http://eh.net/XIIICongress/cd/papers/33 BergierMathieu422.pdf#search=%22urbanization%20rate%20british%20india%22 Li, H., L. Squire and H.-f. Zou (1998), Explaining international and intertemporal variations in income inequality, The Economic Journal, 108: 26-43. Maddison, Angus (1971), Class structure and economic growth: India and Pakistan since the Moghuls, London: Allen and Unwin. Maddison, Angus (2002), The World Economy: Historical Statistics, Paris: OECD. Maddison, Angus (2004), World population, GDP and per capita GDP, 1-2000 AD, available at  HYPERLINK "http://www.ggdc.net/Maddison/content.shtml. " http://www.ggdc.net/Maddison/content.shtml. . Mohan, Rakesh (1985), Urbanization in Indias Future, Population and Development Review, 11, 4 (December): 619-45.  For the definitions of G1 and G2, see the main text.  See WIDER data set available at  HYPERLINK "http://www.wider.unu.edu/wiid/wiid.htm" http://www.wider.unu.edu/wiid/wiid.htm, available also at  HYPERLINK "http://econ.worldbank.org/projects/inequality" http://econ.worldbank.org/projects/inequality (all the Ginis dataset). 345=iov    M O W   3 4 h i Ƚ۱Ƚ۱hHiCJaJhHi56>*CJaJhJhHi56>*CJaJhJhHi6CJaJhhHiCJaJh:hhHiCJaJhHiCJaJhmjhHi5>*CJaJhHi5>*CJaJhEhHi56aJ4345B[v $$Ifa$gduXp $IfgduXp$h^h`a$gdHi$a$gdHi>UKU^UIII $$Ifa$gduXp $IfgduXpkd$$Ifl     \@ !     p               t0    644 la^UIII $$Ifa$gduXp $IfgduXpkd$$Ifl     \@ !    p            t0    644 la^UIII $$Ifa$gduXp $IfgduXpkd$$Ifl     \@ !   p         t0    644 la   ^UIII $$Ifa$gduXp $IfgduXpkdF$$Ifl     \@ !   p         t0    644 la     ^UIII $$Ifa$gduXp $IfgduXpkd $$Ifl     \@ !    p            t0    644 la   M N O \ ^NNNNNE $IfgduXp$h^h`a$gdHikd$$Ifl     \@ !     p            t0    644 la\ u RI $IfgduXpkd$$Ifl     \@ ,"     p          t     t0    644 la $$Ifa$gduXp ^UIII $$Ifa$gduXp $IfgduXpkdz$$Ifl     \@ ,"    p        t    t0    644 la ^UIII $$Ifa$gduXp $IfgduXpkdL$$Ifl     \@ ,"    p        t    t0    644 la    ^UIII $$Ifa$gduXp $IfgduXpkd$$Ifl     \@ ,"   p      t   t0    644 la  ) , / 3 ^UIII $$Ifa$gduXp $IfgduXpkd$$Ifl     \@ ,"   p      t   t0    644 la3 4 ^ a d h ^UIII $$Ifa$gduXp $IfgduXpkd$$Ifl     \@ ,"   p      t   t0    644 lah i y { ~ ^UIII $$Ifa$gduXp $IfgduXpkd $$Ifl     \@ ,"   p      t   t0    644 la ^UIII $$Ifa$gduXp $IfgduXpkdf $$Ifl     \@ ,"   p      t   t0    644 la ^UIII $$Ifa$gduXp $IfgduXpkd8 $$Ifl     \@ ,"   p      t   t0    644 la ^UIII $$Ifa$gduXp $IfgduXpkd $$Ifl     \@ ,"    p        t    t0    644 la h i STKL^QLGLLLLgdHigdHi h^h`gdHikd $$Ifl     \@ ,"     p        t    t0    644 la 0 = h i JKOPST^_'(ûûûûû~yoogb hHi5h5?hHi6jhHi0JU hHi6hihHi6hHi*jh1hHi0JB*CJUaJphhHiB*CJaJphh1hHiB*CJaJphhHiCJaJh:hhHiCJaJh:hhHi5CJaJhHi5CJaJhbhHi56hHiCJaJhBhHiCJaJ&EFEF02Pe|*E=U>U@UAUCU 7$8$H$gdHigdHi 0^`0gdHi$a$gdHigdHiEYgEZ[\_aor.02^P^_NOPĻı|q|h|hhHi0Jj hHiUjhHiU hEhHihEhHiPJ hChHihs]hHi6 hs]hHi hHi5PJh4 hHi5PJhGhHiPJ hHiPJh ihHiPJ h ihHi hfMhHih ihHi5 hhHi hHi5hHi hGhHi%JLTez}KLMyz{*+LM׿shYjh66hHiCJUaJh66hHiCJaJ!jh66hHi0JCJUaJjhHi0JUh%]h ihHi0JPJ(jh ihHiB* PJUphfh ihHiB* PJphf"jh ihHiB* PJUphf hHiPJh ihHiPJ hhHi hHi6hHi hEhHihEhHi6"M)*DEFT=U>U?UAUBUDUEUGUHUKULUdz}yqyqyqyqymh%]jhuXpUhuXphHiUjhHi0JU,jh66hHiB*CJUaJphh66hHiB*CJaJph&jh66hHiB*CJUaJphh66hHi0JCJaJjh66hHiCJUaJ#jh66hHiCJUaJh66hHiCJaJ And it could easily be argued that the difference ought to be less since data from social tables are very rough in that they assign the same income to an entire class of people and do not allow for the fact that some people from a mean-poorer class may have higher incomes than some people from a mean-richer class.     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