Rating the Rich: An Ordinal Classification to Determine Which Rich Countries are Helping Poorer Ones the Most

Sianes, Antonio; Dorado-Moreno, Manuel; Hervás-Martı́nez, César

doi:10.1007/s11205-013-0270-6

Cited by 5 publications

(5 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…-Developing a classification model that overcomes the linearity of the model can be achieved by combining an ordinal classification model technique, here, the POM, with ANNs (Dorado-Moreno et al 2012;Sianes et al 2013). To eliminate problems such as duplication or correlation of the model's independent variables, we will incorporate an EA into our ANNs that is able, through mutation and selection operators, to reduce the influence of unused variables to zero in the overall model.…”

Section: Proposing a Methodological Alternative: A Non-linear Ordinal...mentioning

confidence: 99%

“…However, the KOF Index of Globalisation, like other indices of its type, is sometimes the subject of criticism (Lind 2010;Sianes et al 2013;Stapleton and Garrod 2007). In the next section, we summarise the main criticisms of the KOF Index and propose a solution to address most of them, in addition to improving the usefulness of such a proper indicator of the extent of globalisation.…”

Section: A Few Words About Globalisation and The World Todaymentioning

confidence: 99%

“…From outside to hyper-globalisation -First, it cannot be assumed that the proper mathematical form for combining the considered variables and indicators into one overall score is linear, particularly for large nations in which policy areas may interact significantly (Sianes et al 2013). Moreover, the use of a large number of indicators may lead to excessive coverage of certain dimensions, which risks the appearance of side effects (such as duplication and correlation), as some information might be recorded more than once and thus introduce distortion into the results (Lombaerde and Iapadre 2008).…”

Section: Adequacy Of the Kof Index Of Globalisationmentioning

confidence: 99%

“…Many real life problems require the classification of items into naturally ordered classes, they can be found in many areas, such as medical (Pérez-Ortiz et al 2013) or social (Sianes et al 2013). These problems are traditionally handled by conventional methods where the order relation is ignored.…”

Section: Ordinal Classificationmentioning

confidence: 99%

See 3 more Smart Citations

From outside to hyper-globalisation: an Artificial Neural Network ordinal classifier applied to measure the extent of globalisation

2015

Self Cite

View full text Add to dashboard Cite

Globalisation has become a key concept in the social sciences to understand the accelerating changes occurred in modern societies during recent decades. As a consequence, measuring the influence of globalisation on the economic, social and political aspects of nations has been a requirement. There are many indices at present to calculate the extent of globalisation reached by each country. However, most of the methods used to build those indices suffer certain methodological limitations that hinder the wider dissemination and usefulness of their results. As an alternative, in this paper, we propose a methodology for ordinal ranking of countries associated with their globalisation level, which gives us an easier and more useful information about the different levels where countries are regarding to this criteria. Among Computational Intelligence techniques, Artificial Neural Networks (ANNs) have become dominant modelling paradigm. We have built a novel non-linear ordinal classifier by combining the Proportional Odd Models (POM) with ANNs that is able to classify countries according to their level of globalisation in six classes, which range from hyperglobalised countries to countries that remain outside the process of globalisation. The results could not be more encouraging. Our experiments yield robust results and show better outcomes than alternative linear and non-linear ordinal classifiers, which raises the possibility of developing a model of classification that might overcome some of the limitations of the indices currently employed to measure globalisation.

show abstract

Section: Proposing a Methodological Alternative: A Non-linear Ordinal...mentioning

confidence: 99%

Section: A Few Words About Globalisation and The World Todaymentioning

confidence: 99%

Section: Adequacy Of the Kof Index Of Globalisationmentioning

confidence: 99%

Section: Ordinal Classificationmentioning

confidence: 99%

See 2 more Smart Citations

From outside to hyper-globalisation: an Artificial Neural Network ordinal classifier applied to measure the extent of globalisation

2015

Self Cite

View full text Add to dashboard Cite

show abstract

“…This way of measuring PCD fits perfectly with the definition given to PCD in this paper. It is true that the CDI, like the United Nations' human development index and other indexes of the kind, is subject to multiple criticisms (Picciotto, ; McGillivray, ; Sawada & Munenobu, ; Choudwury & Squire, ; Stapleton & Garrod, 2008; Sianes et al ., ). But, as Picciotto () concluded, ‘to be approximately right is better than to be precisely wrong’.…”

Section: Main Debates Regarding Policy Coherence For Development Withmentioning

confidence: 97%

Shedding Light On Policy Coherence for Development: A Conceptual Framework

Sianes

2013

J of Intl Development

Self Cite

View full text Add to dashboard Cite

Policy Coherence has undoubtedly been one of the catchwords in the international debate on development aid since the 1990s but, as many authors have stated, no generally accepted agreement has been reached on defining the concept. This paper performs a systematic review to date of the literature on Policy Coherence for Development, drawing a conceptual map aimed to put Policy Coherence for Development in its rightful place within the development aid system. Within this framework, some of the main debates on the topic will be outlined in order to contribute to the enhancement of Policy Coherence for Development.

show abstract

Sensitivity versus accuracy in ensemble models of Artificial Neural Networks from Multi-objective Evolutionary Algorithms

Fernández

Cruz-Ramírez

Hervás-Martı́nez

2016

Neural Comput & Applic

View full text Add to dashboard Cite

Rating the Rich: An Ordinal Classification to Determine Which Rich Countries are Helping Poorer Ones the Most

Cited by 5 publications

References 33 publications

From outside to hyper-globalisation: an Artificial Neural Network ordinal classifier applied to measure the extent of globalisation

From outside to hyper-globalisation: an Artificial Neural Network ordinal classifier applied to measure the extent of globalisation

Shedding Light On Policy Coherence for Development: A Conceptual Framework

Sensitivity versus accuracy in ensemble models of Artificial Neural Networks from Multi-objective Evolutionary Algorithms

Contact Info

Product

Resources

About