PAPANEK - KYN: Flatenning the Kuznets Curve

Table 4.

Fitted Values of Gini and Share

A. Income Distribution Statistics
at various per capita Incomes

Per capita	Gini		Share of Poorest 40 Percent
income	Regr. 1	Regr. 4	Regr. 1	Regr. 4
$80	0.45	0.42	14.7	16.2
$100	0.45	0.43	14.6	15.8
$200	0.46	0.45	14.3	14.9
$300	0.46	0.45	14.3	14.6
$400	0.46	0.45	14.5	14.6
$500	0.45	0.45	14.7	14.6
$600	0.44	0.45	15.0	14.6
$700	0.44	0.44	15.2	14.7
$800	0.43	0.44	15.4	14.8
$900	0.43	0.44	15.6	14.9
$1000	0.42	0.43	15.8	15.0
$ 2000	0.37	0.40	17.5	15.9
$3000	0.34	0.38	18.8	16.8
$4000	0.31	0.36	19.9	17.4
$5000	0.29	0.34	20.7	18.1

The regression equations are taken from Table 2 and Table 3 respectively. Regression 1 uses only the Kuznets Curve and definitional dummy variables and Regression 4 has all other explanatory variables except regional dummies. The fitted values of Gini and Share are representative of the mean (for our sample) of income distribution statistics at the given leve l of income

B. Per Capita Income with the Greatest Predicted Inequality

Regression	Gini	Share
Used	All Countries	Pakistan Excluding
1	213	211
2	191	197
3	452	562
4	316	429
5	310	373

Per capita income in 1964 U.S. Dollars.