Health Equity and Financial Protection: Part II
Original Data Report N
mean
min
max
p1
p50
p99
N_unique
2,419
1.0
1.0
1.0
1.0
1.0
1.0
1
HH_expenditure (Total consumption)
2,419
6,886
504.6
100,956
1,503
5,567
26,334
2,418
hh_weight (Household weights)
2,419
1.0
0.8
1.5
0.8
0.9
1.5
5
direct_taxes
2,419
15.7
0.0
3,742
0.0
0.0
312
318
rescaled (Tax 1)
2,419
23.6
0.0
5,613
0.0
0.0
468
318
indirect_taxes
2,419
313
3.5
9,507
20.2
169
2,293
2,418
rescaled (Tax 2)
2,419
142
1.6
4,305
9.1
76.6
1,038
2,418
cigarette_tax
2,419
9.6
0.0
2,124
0.0
0.0
51.5
228
rescaled (Tax 3)
2,419
15.5
0.0
3,439
0.0
0.0
83.4
228
social_ins_contrib
2,419
28.4
0.0
765
0.0
6.2
186
987
rescaled (Social insurance contributions)
2,419
34.0
0.0
916
0.0
7.5
223
987
private_insurance
2,419
2.8
0.0
234
0.0
0.0
42.4
237
rescaled (Private insurance premiums)
2,419
29.2
0.0
2,474
0.0
0.0
449
237
oop
2,419
140
0.0
19,233
0.0
42.4
1,443
483
rescaled (Out-of-pocket)
2,419
274
0.0
37,675
0.0
83.1
2,827
483
region (Regions)
2,419
2.6
1.0
5.0
1.0
2.0
5.0
5
insured (Health insurance)
2,419
0.2
0.0
1.0
0.0
0.0
1.0
2
generated (Per capita consumption, gross)
2,419
6,886
505
100,955
1,504
5,567
26,336
2,418
generated (Per capita consumption, net)
2,419
6,367
400
100,712
1,381
5,191
23,376
2,418
Egypt 1997 hhsize (Household size)
the variable (and thus smaller than 99 percent of its values). Column βp50β represents the median, and βp99β represents the 99th percentile. The last column indicates the number of different values taken by each variable. Interpreting the Results Provided that they have been adequately prepared, the identification (ID) variables generally give the number of observations in the sample analyzed, which amounts to 2,419 in our example table. The out-of-pocket expenditures variable (oop) also has 2,419 observations and thus does not contain any missing values. Mean out-of-pocket expenditure amounts to LE 140 (Egyptian pounds) and ranges from LE 0 to LE 19,233. The median (LE 42.4) is smaller than the mean, which indicates the expected right-skewed distribution of health expenditure variables. The last column of the table usually makes it possible to identify categorical data. For instance, the variables βregionβ and βinsured,β respectively, take five and two different values.
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