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Articles

Inference for the neighbourhood inequality index

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Pages 313-332 | Received 25 Jan 2019, Published online: 19 Oct 2020

Figures & data

Figure 1. Scaling and zonation effects on neighbourhood inequality.

Figure 1. Scaling and zonation effects on neighbourhood inequality.

Figure 2. Neighbourhood inequality in Chicago, IL, 2014, versus two counterfactual distributions.

Note: Author analysis of US Census and American Community Survey (ACS) data. Confidence intervals are at the 95% level. (a) NI(F0, d) - NI(F1, d), (b) NI(F0, d) - NI(F2, d).

Figure 2. Neighbourhood inequality in Chicago, IL, 2014, versus two counterfactual distributions.Note: Author analysis of US Census and American Community Survey (ACS) data. Confidence intervals are at the 95% level. (a) NI(F0, d) - NI(F1, d), (b) NI(F0, d) - NI(F2, d).

Table 1. Monte Carlo simulations of the size and power of dominance tests for NI curves that are based on the NI index SE approximations.

Figure 3. Trends in neighbourhood inequality in Chicago, IL.

Note: Author analysis of US Census and American Community Survey (ACS) data. Confidence intervals are at the 95% level.

Figure 3. Trends in neighbourhood inequality in Chicago, IL.Note: Author analysis of US Census and American Community Survey (ACS) data. Confidence intervals are at the 95% level.

Table 2. P-values for the null hypothesis of the type H01:NI(yt,d)=G(yt) and H02:NI(yt,d)=NI(yt,0.4), with t=1980,1990,2000,2014 and G(y1980)=0.434, G(y1990)=0.461, G(y2000)=0.473, G(y2014)=0.486.