The Standardized World Income Inequality Database

By F. Solt. 2016

1,208 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/dd31f1439a0b80cb9447a112347836b3325e953e

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Citations in the corpus

Electricity access and income inequality in South Africa: Evidence from Bayesian and NARDL analyses (2020, methodology): “Based on the above justification, the four data series include access to electricity, GDP per capita, Control of Corruption (used as a proxy for measuring corruption) adopted from World Bank [1], while GINI household disposable income is adopted from Solt [57].”
This Mine is Mine! How Minerals Fuel Conflicts in Africa (2015, positive): “We focus on: ( i ) the Gini index of gross income distribution ( Solt 2014 ; ( ii ) ethnic and religious fractionalization or polarization ( Reynal-Querol 2014 ; and ( iii ) the presence of indigenous group in the cell.”
Drivers of Gendered Sectoral and Occupational Segregation in Developing Countries (2020, methodology): “…and total fertility rate are taken from the World Development Indicators (World Bank 2014); Religion data are from version 1.1 from the Correlates of War Project (Zeev and Henderson 2013), the Gini data are from (Solt 2016) and all other variables are calculated directly from the I2D2 database.”
The psychological consequences of income inequality (2017, background): “…work looking at the effects of inequality in other societies, such as the more autocratic or kleptocratic states, where inequality can be very high (Solt, 2016); furthermore, what work we know suggests that the patterns which hold in the West, such as the precise relationship between inequality…”
Economic Growth, Financial Development, and Income Inequality (2017, methodology): “Source: Authors’ calculations based on data from the Standardized World Income Inequality Database (SWIID) (Solt 2014) and World Bank, World Development Indicators online database (accessed 1 October 2014).”
The Influence of Tourism on Income Inequality (2020, background): “…in tourism is involved in self-employment or family business (mainly accommodation and restaurant services) (Carrascal Incera and Fernández 2015; Getz and Carlsen 2005) so that tourism development might not help in resolving the income inequality, if not accompanied by an appropriate fiscal…”
How Firms Shape Income Inequality: Stakeholder Power, Executive Decision Making, and the Structuring of Employment Relationships (2015, methodology): “2 Based on my own calculations on data taken from the Standardized World Income Inequality Database (Solt, 2014).”
Panel evidence on the impact of tourism growth on poverty, poverty gap and income inequality (2019, methodology): “One set of Gini coefficients was obtained from the World Development Indicators and the other set was from the Standardized World Income Inequality Data (SWIID) version 5.1 of Solt (2014).”
Redistribution, inequality, and growth: new evidence (2018, methodology): “39 We have also examined our results using a subsequently-available vintage of the Solt database (Solt 2016).”
Measuring Income Inequality Across Countries and Over Time: The Standardized World Income Inequality Database (2019, methodology): “10In previous versions of the SWIID, market and gross income were treated as a single welfare definition, and I am glad to finally be able to split them apart (cf. Solt 2016, 1272).”
Wealth Inequality and Monetary Policy (2016, neutral): “Source: Solt (2014).”
Globalization, Inequality, and Redistribution: Theory and Evidence (2017, neutral): “…Observations Gini Index of Market Income Level of Index SWIID 5.0: Solt (2014) 44.56 8.002 18.88 70.30 933 Redistribution Level of Index SWIID 5.0: Solt (2014) 6.551 6.492 –14.73 26.43 933 Economic Globalization Level of Index KOF: Dreher (2006a) 52.58 18.65 10.06 97.40 884 Social Globalization…”
Human capital and income inequality* (2018, methodology): “We rely on the Gini index of net income (that is, post-tax, post-transfer) taken from the Standardized World Income Inequality Database (SWIID) that Frederik Solt (2016) compiled.”