15
or conditional distribution of income, therefore includes
earned income here. The regression of property owners’total
income on their wealth can be studied on the basis of
Dutch data"^(fig. 3). The regression is linear, and homo-
scedastic; the correlation coefficient is 0,5, the re
gression coefficient is 0.626^0.004 (data for 1962/63).
The regression coefficient corresponds to our k. That
k O can be explained in the first place by the presumed
fact that with increasing wealth earned income is less
and less important; in the second place perhaps by the
fact that income from shares which dominates for the
larger wealth does not]contain the undistributed profits.
Since the Pareto coefficient for wealth was 1.38 in 1962/63,
we should expect it to be 2.20 for income on the basis of
the theory. In reality it was 2.08. A better correspondence
is hardly to be expected, since the wealth distribution at
that time has been distorted by the stock exchange boom
(see / /). 2 ^
A similar calculation with Swedish data gives very un
satisfactory results, although the regression line is
linear and homoscedastic. This may be explained by the
guess that the classification of income (which stops at
1 ^See / 1 /
2)
Since the holding of shares increases strongly with the