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Can Data and Machine Learning Change the Future of Basic Income Models? A Bayesian Belief Networks Approach

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  • Hamed Khalili

    (Research Group E-Government, Faculty of Computer Science, University of Koblenz, D-56070 Koblenz, Germany)

Abstract

Appeals to governments for implementing basic income are contemporary. The theoretical backgrounds of the basic income notion only prescribe transferring equal amounts to individuals irrespective of their specific attributes. However, the most recent basic income initiatives all around the world are attached to certain rules with regard to the attributes of the households. This approach is facing significant challenges to appropriately recognize vulnerable groups. A possible alternative for setting rules with regard to the welfare attributes of the households is to employ artificial intelligence algorithms that can process unprecedented amounts of data. Can integrating machine learning change the future of basic income by predicting households vulnerable to future poverty? In this paper, we utilize multidimensional and longitudinal welfare data comprising one and a half million individuals’ data and a Bayesian beliefs network approach to examine the feasibility of predicting households’ vulnerability to future poverty based on the existing households’ welfare attributes.

Suggested Citation

  • Hamed Khalili, 2024. "Can Data and Machine Learning Change the Future of Basic Income Models? A Bayesian Belief Networks Approach," Data, MDPI, vol. 9(2), pages 1-18, January.
    • Handle: RePEc:gam:jdataj:v:9:y:2024:i:2:p:18-:d:1324418
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    References listed on IDEAS

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    1. Simon Feeny & Lachlan McDonald, 2016. "Vulnerability to Multidimensional Poverty: Findings from Households in Melanesia," Journal of Development Studies, Taylor & Francis Journals, vol. 52(3), pages 447-464, March.
    2. Luc J. Christiaensen & Kalanidhi Subbarao, 2005. "Towards an Understanding of Household Vulnerability in Rural Kenya," Journal of African Economies, Centre for the Study of African Economies, vol. 14(4), pages 520-558, December.
    3. Gallardo, Mauricio, 2022. "Measuring vulnerability to multidimensional poverty with Bayesian network classifiers," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 492-512.
    4. Karl Widerquist, 2001. "Perspectives on the Guaranteed Income, Part II," Journal of Economic Issues, Taylor & Francis Journals, vol. 35(4), pages 1019-1030, December.
    5. Walter Bossert & Satya R. Chakravarty & Conchita D’Ambrosio, 2019. "Multidimensional Poverty and Material Deprivation with Discrete Data," Themes in Economics, in: Satya R. Chakravarty (ed.), Poverty, Social Exclusion and Stochastic Dominance, pages 191-209, Springer.
    6. Robert J. Van Der Veen, 1998. "Real Freedom versus Reciprocity: Competing Views on the Justice of Unconditional Basic Income," Political Studies, Political Studies Association, vol. 46(1), pages 140-163, March.
    7. Mauricio Gallardo, 2020. "Measuring Vulnerability to Multidimensional Poverty," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(1), pages 67-103, February.
    8. Cesar Calvo & Stefan Dercon, 2007. "Vulnerability to Poverty," CSAE Working Paper Series 2007-03, Centre for the Study of African Economies, University of Oxford.
    9. Lukas Salecker & Anar K. Ahmadov & Leyla Karimli, 2020. "Contrasting Monetary and Multidimensional Poverty Measures in a Low-Income Sub-Saharan African Country," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 151(2), pages 547-574, September.
    10. Lidia Ceriani & Chiara Gigliarano, 2020. "Multidimensional Well-Being: A Bayesian Networks Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(1), pages 237-263, November.
    11. Mauricio Gallardo, 2018. "Identifying Vulnerability To Poverty: A Critical Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 32(4), pages 1074-1105, September.
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