scholarly journals The Analysis and the Measurement of Poverty: An Interval-Based Composite Indicator

2021 ◽  
Author(s):  
FEEM RPS Submitter ◽  
Carlo Drago
Keyword(s):  
Composite Indicator ◽  
Measurement Of Poverty

scholarly journals The Analysis and the Measurement of Poverty: An Interval Based Composite Indicator Approach

2020 ◽  
Author(s):  
Carlo Drago
Keyword(s):  
Monte Carlo Simulation ◽  
Composite Indicator ◽  
Composite Indicators ◽  
Crucial Issue ◽  
Distinct Factor ◽  
Indicator Approach ◽  
Statistical Indicators ◽  
Consistent Measurement ◽  
Random Configuration ◽  
Measurement Of Poverty

The analysis and measurement of poverty is a crucial issue in the field of social science. Poverty is a multidimensional notion that can be measured using composite indicators relevant to synthesizing statistical indicators. Subjective choices could, however, affect these indicators. We propose interval-based composite indicators to avoid the problem, enabling us in this context to obtain robust and reliable measures. Based on a relevant conceptual model of poverty we have identified, we will consider all the various factors identified. Then, considering a different random configuration of the various factors, we will compute a different composite indicator. We can obtain a different interval for each region based on the distinct factor choices on the different assumptions for constructing the composite indicator. So we will create an interval-based composite indicator based on the results obtained by the Monte-Carlo simulation of all the different assumptions. The different intervals can be compared, and various rankings for poverty can be obtained. For their parameters, such as center, minimum, maximum, and range, the poverty interval composite indicator can be considered and compared. The results demonstrate a relevant and consistent measurement of the indicator and the shadow sector's relevant impact on the final measures.

One Market, One Number? A Composite Indicator Assessment of EU Internal Market Dynamics

2005 ◽  
Author(s):  
Laurens Cherchye ◽  
C.A. Knox Lovell ◽  
Wim Moesen ◽  
Tom Van Puyenbroeck
Keyword(s):  
Composite Indicator ◽  
Internal Market ◽  
Market Dynamics

Spatial polarization of peripheral territories of Stavropol Krai on the level of social and economic development

2018 ◽  
Vol 35 (4) ◽  
pp. 32-37
Author(s):  
M. U. Kazakov
Keyword(s):  
Economic Policy ◽  
Economic Development ◽  
Economic System ◽  
Special Interest ◽  
Composite Indicator ◽  
Natural Process ◽  
Diagnostic Approach ◽  
Social And Economic Development ◽  
System Differentiation ◽  
Stavropol Krai

The research of a condition of peripheral territories is of special interest within formation of a spatial paradigm of development of regional social and economic system. Differentiation of level of social and economic development of peripheral territories is natural process and is subject to complex studying for formation of adequate instruments of management within spatial social and economic policy. In article special attention is paid to formation of system and diagnostic approach for identification of level of social and economic development of territories on the basis of the composite indicator and also to justification and calculation of indicators of unevenness of development of peripheral territories.

scholarly journals To Weight or Not to Weight, That Is the Question: The Design of a Composite Indicator of Landscape Fragmentation

2021 ◽  
Vol 11 (7) ◽  
pp. 3208
Author(s):  
Andrea De Montis ◽  
Vittorio Serra ◽  
Giovanna Calia ◽  
Daniele Trogu ◽  
Antonio Ledda
Keyword(s):  
Principal Component Analysis ◽  
Geometric Mean ◽  
Composite Index ◽  
Weighted Average ◽  
Principal Component ◽  
Expert Judgment ◽  
Landscape Fragmentation ◽  
Composite Indicator ◽  
Per Se ◽  
Higher Sensitivity

Composite indicators (CIs), i.e., combinations of many indicators in a unique synthetizing measure, are useful for disentangling multisector phenomena. Prominent questions concern indicators’ weighting, which implies time-consuming activities and should be properly justified. Landscape fragmentation (LF), the subdivision of habitats in smaller and more isolated patches, has been studied through the composite index of landscape fragmentation (CILF). It was originally proposed by us as an unweighted combination of three LF indicators for the study of the phenomenon in Sardinia, Italy. In this paper, we aim at presenting a weighted release of the CILF and at developing the Hamletian question of whether weighting is worthwhile or not. We focus on the sensitivity of the composite to different algorithms combining three weighting patterns (equalization, extraction by principal component analysis, and expert judgment) and three indicators aggregation rules (weighted average mean, weighted geometric mean, and weighted generalized geometric mean). The exercise provides the reader with meaningful results. Higher sensitivity values signal that the effort of weighting leads to more informative composites. Otherwise, high robustness does not mean that weighting was not worthwhile. Weighting per se can be beneficial for more acceptable and viable decisional processes.

scholarly journals Accounting for benefits from natural capital: Applying a novel composite indicator framework to the marine environment

2021 ◽  
Vol 50 ◽  
pp. 101308
Author(s):  
Emily Stebbings ◽  
Tara Hooper ◽  
Melanie C. Austen ◽  
Eleni Papathanasopoulou ◽  
Xiaoyu Yan
Keyword(s):  
Marine Environment ◽  
Natural Capital ◽  
Composite Indicator ◽  
Indicator Framework

The Role of CPS Nonresponse in the Measurement of Poverty

2015 ◽  
Vol 110 (511) ◽  
pp. 935-945 ◽  
Author(s):  
Charles Hokayem ◽  
Christopher Bollinger ◽  
James P. Ziliak
Keyword(s):  
Measurement Of Poverty

Information Theoretic Competitiveness Composite Indicator at Micro Level

2014 ◽  
Vol 123 (2) ◽  
pp. 349-370
Author(s):  
Rosa Bernardini Papalia ◽  
Pinuccia Calia ◽  
Carlo Filippucci
Keyword(s):  
Composite Indicator ◽  
Information Theoretic ◽  
Micro Level
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