WIID Companion (March 2021): data selection

Author(s):  
Carlos Gradín

This document is part of a series of technical notes describing the compilation of a new companion database that complements the World Income Inequality Database (WIID). It aims at facilitating the analysis of inequality as well as progress in achieving the global goal of reducing inequality within and across countries. This new dataset also includes an annual series reporting the income distribution at the percentile level for all citizens in the world, regardless of where they live, from 1950 to the present. This technical note describes the first stage in constructing the first version of the companion datasets: data selection. It provides an overview of the approach followed in the selection of the series from different sources with information on income distribution and inequality that best represent each country and period. It also discusses the general criteria used and their implementation, which are illustrated with a few country examples.

2021 ◽  
Author(s):  
Carlos Gradín

This document is part of a series of technical notes describing the compilation of a new companion database that complements the World Income Inequality Database. It aims at facilitating the analysis of inequality as well as progress in achieving the global goal of reducing inequality within and across countries. This new dataset also includes an annual series reporting the income distribution at the percentile level for all citizens in the world, regardless of where they live, since 1950 to present. A previous note described the selection of income distribution series. Since these series may differ across welfare concepts and other methods used, this technical note describes the second stage, constructing integrated and standardized country series. It discusses all the necessary adjustments conducted to construct the final series for each country, with consistent estimates of the distribution of net income per capita over the entire period for which information is available. This is mainly divided into two stages. First, integrating country series by interlinking series that overlap over time, then using a more general regression-based approach.


2021 ◽  
Author(s):  
Carlos Gradín

This document is part of a series of technical notes describing the compilation of a new companion database that complements the UNU-WIDER World Income Inequality Database. It aims at facilitating the analysis of inequality as well as progress in achieving the global goal of reducing inequality within and across countries. This new dataset includes an annual series reporting the income distribution at the percentile level for all citizens in the world, regardless of where they live, from 1950 to the present. The global distribution is displayed along with the country-level information used to produce it. The dataset also includes estimates of various global absolute and relative inequality measures, and the income share of key population groups. All estimates are further disaggregated by the contribution of inequalities within and between countries, as well as by each country’s geographical region and income group. While previous technical notes described the selection of country income distribution series and the integration and standardization process to overcome the heterogeneity in original welfare concepts and other methods, I here describe all the necessary additional steps and assumptions made to construct the new global dataset.


2015 ◽  
Vol 9 (6) ◽  
pp. 79-82 ◽  
Author(s):  
Morteza Nemati ◽  
Ghasem Raisi

Nowadays, improvement in income distribution and poverty eradication and hence low inequality are served as the main objectives of economic and social development strategy even prior than primary tasks of governments. to manifest importance of income distribution, some economists adopt income inequality and income distribution in society as criteria for economic system of the community, although these criteria and measures are theoretical for the economic system and this varies from the perspective of different people, however, it denotes on  importance of income distribution among individuals. The main objective of this study was to evaluate the effect of economic growth on income inequality in the selection of low-income developing countries.To this end, using panel data and data for 28 developing countries over the period 1990-2010 the relationship between GDP and the Gini coefficient was examined. The results indicate that as per hypothesis Kuznets in the early stages of growth, income inequality increases and then it declines in later stage.


Author(s):  
Salvador Miranda Lima ◽  
José Moreira

The emergence of the World Wide Web made available massive amounts of data. This data, created and disseminated from many different sources, is prepared and linked in a way that is well-suited for display purposes, but automation, integration, interoperability or context-oriented search can hardly be implemented. Hence, the Semantic Web aims at promoting global information integration and semantic interoperability, through the use of metadata, ontologies and inference mechanisms. This chapter presents a Semantic Model for Tourism (SeMoT), designed for building Semantic Web enabled applications for the planning and management of touristic itineraries, taking into account the new requirements of more demanding and culturally evolved tourists. It includes an introduction to relevant tourism concepts, an overview of current trends in Web Semantics research and a presentation of the architecture, main features and a selection of representative ontologies that compose the SeMoT.


2020 ◽  
Vol 52 (3) ◽  
pp. 359-393
Author(s):  
Andŕe Albuquerque Sant' Anna ◽  
Leonardo Weller

Did the threat of communism influence income distribution in developed capitalist economies during the Cold War? This article addresses this question by testing whether income inequality in OECD countries was related to events linked to the spread of communism—revolutions and Soviet interventions—around the world. We argue that the threat of the spread of communism acted as an incentive for the elites and governments to keep economic inequality low. This article provides an empirical contribution to the recent literature on inequality, which highlights the role of domestic institutions but ignores the role of the Cold War in redistributing income. We find a robust relationship between income inequality and the distance to communist events. The results, reinforced by cases studied, suggest that the spread of communism fostered income redistribution deals between domestic elites and workers. Finally, we show that these effects were reinforced by strong unions and the presence of strong communist parties.


Debris along coastlines is a global issue as it affects ecosystem, human health, tourism and economy; thus, requires more attention from town planners, policy makers and researchers. Various studies have been conducted around the world to identify and quantify the debris, its sources and mitigation strategies; however, it is a pioneer study of its kind in Brunei Darussalam. The current study involves selection of different beaches, debris collection and its physical analysis. Brunei Darussalam has 161 km long coast along South China Sea and the debris was collected from four different beaches in the month of May considering different sources related to anthropogenic, riverine and sea-based activities. The selected areas for study were 110x30 m2 and collected samples were categorized by number, weight, size and colour. By number, large amount of plastic (91.46%) was found on all four beaches followed by miscellaneous materials. As, the most abundant type of debris was plastic, hence it was further classified on the basis of size and colour. Most of the materials found on these beaches were the result from land based human activities, but the contribution of debris through the waterways is also significant.


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