Research Article

Interpretability of Composite Indicators Based on Principal Components

Table 5

Impact of constraints on loadings and pillar characteristics.

PillarInput IDConventional loadingsCorrelation with pillarLoadings with constraintCorrelation with pillar
S1S2S1S2

Panel A: Uganda data set
ABS1–0.150.580.300.001.000.59
20.40–0.330.140.360.000.31
50.490.340.740.530.000.56
60.20–0.48–0.170.150.000.09
70.550.270.740.580.000.62
Variance explained1.301.161.291.00
AST10.400.730.400.73
20.350.640.350.64
30.350.650.350.65
40.370.690.370.69
Variance explained1.851.85
SSN10.53–0.030.520.650.000.58
20.56–0.180.460.640.000.55
3–0.42–0.10–0.490.001.000.57
40.070.980.680.060.000.05
Variance explained1.291.001.211.00
AC10.380.420.740.530.000.57
20.180.720.690.350.000.43
40.35–0.310.220.350.000.31
50.44–0.120.460.470.000.41
6–0.420.31–0.310.001.000.46
Variance explained1.511.101.341.00

Panel B: Chad data set
ABS10.600.000.540.600.73
20.270.670.730.270.32
30.420.160.490.420.51
40.32–0.070.230.320.39
80.34–0.66–0.190.340.41
Variance explained1.211.101.21
AST10.57–0.100.640.570.85
20.490.340.810.490.73
30.31–0.600.010.310.46
40.110.670.550.110.16
Variance explained1.511.071.51
SSN20.560.650.560.65
30.390.450.390.45
50.630.730.630.73
Variance explained1.151.15
AC20.690.000.520.700.000.50
3–0.430.790.230.001.000.69
40.550.620.840.700.000.51
Variance explained1.031.001.021.00