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CPS1254 Yu Jin et al.
coefficient is essentially a relative value, this paper argues that there is no need
to adjust inflation; secondly, the Gini coefficient of household income is
calculated by personal income data, so the results may be different from those
calculated by per capita household income in most studies. However, the
conclusion is the same that the income Gini coefficient has a tendency to
increase, which shows that the measurement of income Gini coefficient in this
paper is scientific and reasonable.

Table 1 Measurement of inequality of opportunity
Year 2003 2005 2006 2008 2010 2011 2012 2013

Gini 0.427 0.450 0.440 0.457 0.612 0.570 0.546 0.529
coefficient
Part A absolute value
Method1 0.129 0.153 0.126 0.169 0.383 0.337 0.317 0.307
Method2 0.112 0.150 0.135 0.162 0.375 0.362 0.365 0.369
Method3 0.129 0.154 0.128 0.167 0.373 0.332 0.314 0.306
Part B relative value
Method1 0.302 0.341 0.286 0.369 0.626 0.592 0.581 0.581

Method2 0.263 0.334 0.306 0.356 0.612 0.635 0.668 0.697
Method3 0.302 0.341 0.292 0.365 0.609 0.583 0.575 0.577
Sample 4151 4796 3501 2922 6415 3357 7213 6021
size

Explanation: Part A is the absolute value of calculating inequality of
opportunity, Part B is the relative value of calculating inequality of opportunity.
At the same time, Method1、Method2、 Method3 represent three kinds of
counterfactual distribution construction techniques respectively:
nonparametric methods of C ࿕ecc ࿕i and Peragine(2010), the combination
of nonparametric and parametric methods of Ferreira and Gignoux（2011）
and new technical methods proposed by Jiang Qichuan and Zhang Kezhong
(2015）.In addition, the results of the 200 bootstrap tests for all the estimates
in this paper are significant.
0.65

0.6 0.61
0.57
0.55 0.55
0.5
0.5 3
0.45 0.45 0.44 0.46
0.43
0.4
2003 2005 2006 2008 2010 2011 2012 2013
Figure 1 The trend of change of Gini coefficient of residents' income from 2003 to 2013

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