Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Evaluation as a General Approach to Problem Driven Mathematical Modeling Kapitel lesen Erstes Kapitel lesen

2014 | OriginalPaper | Buchkapitel

9. Partial Orders in Socio-economics: A Practical Challenge for Poset Theorists or a Cultural Challenge for Social Scientists?

verfasst von : Marco Fattore, Filomena Maggino

Erschienen in: Multi-indicator Systems and Modelling in Partial Order

Verlag: Springer New York

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

In this “position paper” we discuss the potential role of partial order theory in socio-economic statistics and social indicators construction. We maintain that the use of concepts and tools from poset theory is needed and urgent to improve currently adopted methodologies, which often prove ineffective for exploiting ordinal data. We also point out that the difficulties in spreading partial order tools are cultural in nature, and that some open-mindedness is needed among social scientists. We address these issues introducing some examples of open questions in socio-economic data analysis: (i) the problem of multidimensional poverty evaluation, (ii) the problem of assessing inequality and societal polarization, and (iii) the problem of clustering in multidimensional ordinal datasets.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Coordination of Contrariety and Ambiguity in Comparative Compositional Contexts: Balance of Normalized Definitive Status in Multi-indicator Systems
Nächstes Kapitel Ranking Hazardous Chemicals with a Heuristic Approach to Reduce Isolated Objects in Hasse Diagrams
Fußnoten
1
In this paper, we often use terms like “complex” or “complexity.” We use them informally, to mean problems or systems that cannot easily be solved, reduced or described, as they are made of many linked elements or facets. Perhaps the formal definition of complexity which is closest in spirit to the way we employ the term is that of “Kolmogorov complexity,” used in algorithmic information theory. However, we stress that this is only an analogy.
 
2
Measuring inflation should involve also measuring services and it is quite debatable how to precisely define the concept of quantity in this case.
 
4
These so-called scaling tools range from simply coding and using ordinal scores as integers, to running complex numerical algorithms, like in the Gifi homogeneity analysis (Michailides and de Leeuw 1998), or using various regression or model-based approaches.
 
5
Whenever cutoffs or thresholds are involved in the assessment, benchmarks are de facto introduced.
 
6
That is, the smallest set of profiles with the cited property.
 
7
Here, we assume that the lower the scores, the worse off the individual.
 
8
In Fattore et al. [2012], e.g., it is also suggested how the classical notion of “weighting” variables may be translated into purely poset terms.
 
9
This threshold has been chosen for exemplification purposes only.
 
10
The Abul Naga and Yalcin index is computed setting \( \alpha =\beta =1\), while the Generalized Entropy is computed setting a = 0.
 
Literatur
Alkire S, Foster J (2011) Counting and multidimensional poverty measurement. J Publ Econ 96(7–8):476–487CrossRef
Alkire S, Foster J (2011) Understandings and misunderstandings of multidimensional poverty measurement. J Econ Inequal 9(2):289–314CrossRef
Abul Naga R, Yalcin T (2008) Inequality measurement for ordered response health data. J Health Econ 27:1614–1625CrossRef
Allison RA, Foster J (2004) Measuring health inequality using qualitative data. J Health Econ 23:505–524CrossRef
Apouey B (2007) Measuring health polarization with self-assessed health data. Health Econ 16:875–894CrossRef
Davey BA, Priestley HA (2002) Introduction to lattices and order. Cambridge University Press, New York
Doorslaer van E, Jones AM (2003) Inequalities in self-reported health: validation of a new approach to measurement. J Health Econ 22:61–87CrossRef
Ercolani MG, Jenkins SP (1998) The polarisation of work and the distribution of income in Britain, Institute for Labour Research and ESRC Research Centre on Micro-Social Change University of Essex, UK
Fattore M, Brüggemann R, Owsiński J (2011) Using poset theory to compare fuzzy multidimensional material deprivation across regions. In: Ingrassia S, Rocci R, Vichi M (eds) New perspectives in statistical modeling and data analysis, Springer, Berlin, Heidelberg
Fattore M, Maggino F, Greselin F (2011) Socio-economic evaluation with ordinal variables: integrating counting and poset approaches. Statistica & Applicazioni, Special Issue, 31–42
Fattore M, Maggino F, Colombo E (2012) From composite indicators to partial order: evaluating socio-economic phenomena through ordinal data. In: Maggino F, Nuvolati G (eds) Quality of life in Italy: research and reflections. Social indicators research series, vol 48. Springer, the Netherlands
Fusco A, Silber J (2011) Ordinal Variables and the Measurement of Polarization. CEPS/INSTEAD Working Paper 2011–2033
Gigliarano C, Mosler K (2009) Constructing indices of multivariate polarization. J Econ Inequal 7:435–460CrossRef
Gregg P, Wadsworth J (2004) Two sides to every story: measuring the polarisation of work. CEP discussion paper No 632, London School of Economics and Political Science
Lustig N (2011) Multidimensional indices of achievements and poverty: what do we gain and what do we lose? An introduction to JOEI Forum on multidimensional poverty. J Econ Inequal 9(2):227–234MathSciNetCrossRef
Maasoumi E (1999) The measurement and decomposition of multi-dimensional inequality. Econometrica 54:771–779
Madden D (2010) Ordinal and cardinal measures of health inequality: an empirical comparison. Health Econ 19:243–250CrossRef
Lones AM, Rice N, Robone S, Dias PS (2010) Inequality and polarisation in health systems’ responsiveness: a cross-country analysis. HEDG Working Paper 10/27
Permanyer I (2012) The conceptualization and measurement of social polarization. J Econ Inequal 10:45–74CrossRef
Ravaillon M (2011) On multidimensional indices of poverty. J Econ Inequal 9(2):235–248CrossRef
Ripley DP (2005) Pattern recognition and neural networks. Cambridge University Press, Cambridge
Tsui K (1986) Multidimensional inequality and multidimensional generalized entropy measures: an axiomatic derivation. Soc Choice Welfare 16:145–157MathSciNetCrossRef
Vermunt JK, Magidson J (2002) Latent class cluster analysis. In: Applied latent class analysis. Cambridge University Press, Cambridge, pp 89–106CrossRef
Vittadini G (1989) Indeterminacy problems in the Lisrel model. Multivariate Behav Res 24(4):397–414CrossRef
Vittadini G, Minotti SC, Fattore M, Lovaglio PG (2007) On the relationships among latent variables and residuals in PLS path modeling: the formative-reflective scheme. Comput Stat Data Anal 51:5828–5846MathSciNetCrossRefMATH
Wolfson MC (1994) When inequalities diverge. Am Econ Rev 84(5):353–358
Zhang X, Kanbur R (2001) What difference do polarisation measures make? An application to China. J Dev Stud 37(3):85–98CrossRef
Metadaten
Titel
Partial Orders in Socio-economics: A Practical Challenge for Poset Theorists or a Cultural Challenge for Social Scientists?
verfasst von
Marco Fattore
Filomena Maggino
Copyright-Jahr
2014
Verlag
Springer New York
Buch
Multi-indicator Systems and Modelling in Partial Order

Print ISBN: 978-1-4614-8222-2

Electronic ISBN: 978-1-4614-8223-9

Copyright-Jahr: 2014

DOI
https://doi.org/10.1007/978-1-4614-8223-9_9