Assessing Subjective Well-being in Wide Populations. A Posetic Approach. . .
261
Table A.1 (continued)
Profile
MPI
Profile
MPI
Profile
MPI
Profile
MPI
Profile
MPI
22112
90.2
31212
94.3
32113
99.5
13313
105.1
32323
119.5
32111
90.2
21213
94.3
12313
99.6
12233
105.2
22333
119.8
31121
90.2
11232
94.3
23113
99.6
21233
105.3
33323
119.8
21131
90.3
22113
94.5
13213
99.8
11333
105.4
33332
119.9
31112
90.3
21132
94.6
12133
99.8
13133
105.4
33233
120.0
21311
90.4
11322
94.6
11233
100.1
31223
105.4
32333
120.0
12122
90.4
31113
94.7
13312
101.0
31133
105.5
23333
120.0
21212
90.4
21123
94.8
22223
101.2
22133
105.5
33333
121.1
11321
90.4
12213
94.9
12322
101.3
33321
111.2
12221
90.5
11313
95.0
22322
101.5
23331
111.4
11222
90.5
11223
95.5
21323
101.7
23223
111.5
21122
90.5
23221
96.8
23212
101.7
32331
111.5
11132
90.5
22321
97.1
12323
101.8
23232
111.5
11123
90.6
32311
97.2
22313
101.8
13332
111.8
12212
90.6
13231
97.3
22213
102.6
33222
111.9
References
Alaimo, L. S. (2020). Complexity of social phenomena: Measurements, analysis, representations
and synthesis. Unpublished doctoral dissertation, University of Rome “La Sapienza”, Rome,
Italy.
Alaimo, L. S., & Maggino, F. (2020). Sustainable development goals indicators at territorial level:
Conceptual and methodological issues—The Italian perspective. Social Indicators Research,
147, 383–341. https://doi.org/10.1007/s11205-019-02162-4.
Alaimo, L. S., Arcagni, A., Fattore, M., & Maggino, M. (2020a). Synthesis of multi-indicator
system over time: A Poset-based approach. Social Indicators Research. https://doi.org/10.1007/
s11205-020-02398-5.
Alaimo, L. S., Arcagni, A., Fattore, M., Maggino, M., & Quondamstefano, V. (2020b). Measuring
equitable and sustainable well-being in Italian regions: The non-aggregative approach. Social
Indicatros Research. https://doi.org/10.1007/s11205-020-02388-7.
Alaimo, L. S., Ciacci, A., & Ivaldi, E. (2020c). Measuring sustainable development by nonaggregative approach. Social Indicators Research. https://doi.org/10.1007/s11205-020-023570.
Alkire, S., Foster, J. E., Seth, S., Santos, M. E., Roche, J. M., & Ballon, P. (2015). Multidimensional
Poverty Measurement and Analysis: Chapter 5 – The Alkire-Foster Counting Methodology
(OPHI Working Paper N. 86). Oxford: Oxford Poverty & Human Development Initiative.
Internet resource. https://ophi.org.uk/resources/ophi-working-papers.
Annoni, P., & Bruggemann, R. (2009). Exploring partial order of European countries. Social
Indicators Research, 92(3), 471–487. https://doi.org/10.1007/s11205-008-9298-4
Arcagni, A., & Fattore, M. (2018). parsec: Partial orders in socio-economics. R package version
1.2.1. https://CRAN.R-project.org/package=parsec
Arcagni, A., Barbiano di Belgiojoso, E., Fattore, M., & Rimoldi, S. M. L. (2019). Multidimensional
analysis of deprivation and fragility patterns of migrants in Lombardy, using partially ordered
sets and self-organizing maps. Social Indicators Research, 141(2), 551–579. https://doi.org/
10.1007/s11205-018-1856-9
261
Table A.1 (continued)
Profile
MPI
Profile
MPI
Profile
MPI
Profile
MPI
Profile
MPI
22112
90.2
31212
94.3
32113
99.5
13313
105.1
32323
119.5
32111
90.2
21213
94.3
12313
99.6
12233
105.2
22333
119.8
31121
90.2
11232
94.3
23113
99.6
21233
105.3
33323
119.8
21131
90.3
22113
94.5
13213
99.8
11333
105.4
33332
119.9
31112
90.3
21132
94.6
12133
99.8
13133
105.4
33233
120.0
21311
90.4
11322
94.6
11233
100.1
31223
105.4
32333
120.0
12122
90.4
31113
94.7
13312
101.0
31133
105.5
23333
120.0
21212
90.4
21123
94.8
22223
101.2
22133
105.5
33333
121.1
11321
90.4
12213
94.9
12322
101.3
33321
111.2
12221
90.5
11313
95.0
22322
101.5
23331
111.4
11222
90.5
11223
95.5
21323
101.7
23223
111.5
21122
90.5
23221
96.8
23212
101.7
32331
111.5
11132
90.5
22321
97.1
12323
101.8
23232
111.5
11123
90.6
32311
97.2
22313
101.8
13332
111.8
12212
90.6
13231
97.3
22213
102.6
33222
111.9
References
Alaimo, L. S. (2020). Complexity of social phenomena: Measurements, analysis, representations
and synthesis. Unpublished doctoral dissertation, University of Rome “La Sapienza”, Rome,
Italy.
Alaimo, L. S., & Maggino, F. (2020). Sustainable development goals indicators at territorial level:
Conceptual and methodological issues—The Italian perspective. Social Indicators Research,
147, 383–341. https://doi.org/10.1007/s11205-019-02162-4.
Alaimo, L. S., Arcagni, A., Fattore, M., & Maggino, M. (2020a). Synthesis of multi-indicator
system over time: A Poset-based approach. Social Indicators Research. https://doi.org/10.1007/
s11205-020-02398-5.
Alaimo, L. S., Arcagni, A., Fattore, M., Maggino, M., & Quondamstefano, V. (2020b). Measuring
equitable and sustainable well-being in Italian regions: The non-aggregative approach. Social
Indicatros Research. https://doi.org/10.1007/s11205-020-02388-7.
Alaimo, L. S., Ciacci, A., & Ivaldi, E. (2020c). Measuring sustainable development by nonaggregative approach. Social Indicators Research. https://doi.org/10.1007/s11205-020-023570.
Alkire, S., Foster, J. E., Seth, S., Santos, M. E., Roche, J. M., & Ballon, P. (2015). Multidimensional
Poverty Measurement and Analysis: Chapter 5 – The Alkire-Foster Counting Methodology
(OPHI Working Paper N. 86). Oxford: Oxford Poverty & Human Development Initiative.
Internet resource. https://ophi.org.uk/resources/ophi-working-papers.
Annoni, P., & Bruggemann, R. (2009). Exploring partial order of European countries. Social
Indicators Research, 92(3), 471–487. https://doi.org/10.1007/s11205-008-9298-4
Arcagni, A., & Fattore, M. (2018). parsec: Partial orders in socio-economics. R package version
1.2.1. https://CRAN.R-project.org/package=parsec
Arcagni, A., Barbiano di Belgiojoso, E., Fattore, M., & Rimoldi, S. M. L. (2019). Multidimensional
analysis of deprivation and fragility patterns of migrants in Lombardy, using partially ordered
sets and self-organizing maps. Social Indicators Research, 141(2), 551–579. https://doi.org/
10.1007/s11205-018-1856-9