IDEAS home Printed from https://ideas.repec.org/a/gam/jdataj/v9y2024i2p18-d1324418.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2306-5729/9/2/18/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2306-5729/9/2/18/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. Cesar Calvo & Stefan Dercon, 2007. "Vulnerability to Poverty," CSAE Working Paper Series 2007-03, Centre for the Study of African Economies, University of Oxford.
    4. Mauricio Gallardo, 2018. "Identifying Vulnerability To Poverty: A Critical Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 32(4), pages 1074-1105, September.
    5. 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.
    6. Karl Widerquist, 2001. "Perspectives on the Guaranteed Income, Part II," Journal of Economic Issues, Taylor & Francis Journals, vol. 35(4), pages 1019-1030, December.
    7. 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.
    8. 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.
    9. 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.
    10. Gallardo, Mauricio, 2022. "Measuring vulnerability to multidimensional poverty with Bayesian network classifiers," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 492-512.
    11. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gallardo, Mauricio, 2022. "Measuring vulnerability to multidimensional poverty with Bayesian network classifiers," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 492-512.
    2. Jhon Edwar Hernández & Blanca Zuluaga, 2022. "Vulnerability to Multidimensional Poverty: An Application to Colombian Households," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(1), pages 345-371, November.
    3. Mauricio Gallardo & María Emma Santos & Pablo Villatoro & Vicky Pizarro, 2021. "Measuring vulnerability to multidimensional poverty in Latin América," Asociación Argentina de Economía Política: Working Papers 4476, Asociación Argentina de Economía Política.
    4. Anh Thu Quang Pham & Pundarik Mukhopadhaya & Ha Vu, 2021. "Estimating poverty and vulnerability to monetary and non-monetary poverty: the case of Vietnam," Empirical Economics, Springer, vol. 61(6), pages 3125-3177, December.
    5. Mingyue Liu & Lulu Yuan & Yifu Zhao, 2024. "Risk of Returning to Multidimensional Poverty and Its Influencing Factors among Relocated Households for Poverty Alleviation in China," Agriculture, MDPI, vol. 14(6), pages 1-19, June.
    6. Sunil Khosla & Pradyot Ranjan Jena, 2023. "Using Multidimensional Poverty Measure to Target Right Beneficiaries to Achieve Sustainable Development Goal-1 in India," Indian Journal of Human Development, , vol. 17(2), pages 290-309, August.
    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. Prieto Suarez, Joaquin, 2023. "Degrees of vulnerability to poverty: a low-income dynamics approach for Chile," LSE Research Online Documents on Economics 121993, London School of Economics and Political Science, LSE Library.
    9. repec:ehl:lserod:121085 is not listed on IDEAS
    10. Antonio Acconcia & Maria Carannante & Michelangelo Misuraca & Germana Scepi, 2020. "Measuring Vulnerability to Poverty with Latent Transition Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 151(1), pages 1-31, August.
    11. Mousumi Das, 2021. "Vulnerability to Food Insecurity: A Decomposition Exercise for Rural India using the Expected Utility Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 156(1), pages 167-199, July.
    12. Barriga Cabanillas, Oscar & Bossuroy, Thomas & Corral Rodas, Paul Andres & Rodriguez Castelan, Carlos & Skoufias, Emmanuel, 2024. "Sustaining Poverty Gains: A Vulnerability Map to Guide Social Policy," IZA Discussion Papers 17193, Institute of Labor Economics (IZA).
    13. Joaquín Prieto, 2024. "Degrees of vulnerability to poverty: A low-income dynamics approach for Chile," Working Papers 666, ECINEQ, Society for the Study of Economic Inequality.
    14. Joaquín Prieto, 2024. "Degrees of vulnerability to poverty: a low-income dynamics approach for Chile," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 22(4), pages 1069-1107, December.
    15. Emiliano Magrini & Pierluigi Montalbano, 2012. "Trade openness and vulnerability to poverty: Vietnam in the long-run (1992-2008)," Working Paper Series 3512, Department of Economics, University of Sussex Business School.
    16. Cesar Calvo & Stefan Dercon, 2013. "Vulnerability to individual and aggregate poverty," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 41(4), pages 721-740, October.
    17. Gallardo, Mauricio, 2013. "Using the downside mean-semideviation for measuring vulnerability to poverty," Economics Letters, Elsevier, vol. 120(3), pages 416-418.
    18. Merz, Joachim & Scherg, Bettina, 2021. "Time, Income and Subjective Well-Being - 20 Years of Interdependent Multidimensional Polarization in Germany," IZA Discussion Papers 14870, Institute of Labor Economics (IZA).
    19. Hai-Anh H. Dang & Kseniya Abanokova & Michael M. Lokshin, 2023. "Life Satisfaction, Subjective Wealth, and Adaptation to Vulnerability in the Russian Federation during 2002-2019," Hacienda Pública Española / Review of Public Economics, IEF, vol. 247(4), pages 125-153, December.
    20. Alfani, Federica & Dabalen, Andrew & Fisker, Peter & Molini, Vasco, 2019. "Vulnerability to stunting in the West African Sahel," Food Policy, Elsevier, vol. 83(C), pages 39-47.
    21. Hardeweg, Bernd & Wagener, Andreas & Waibel, Hermann, 2013. "A distributional approach to comparing vulnerability, applied to rural provinces in Thailand and Vietnam," Journal of Asian Economics, Elsevier, vol. 25(C), pages 53-65.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jdataj:v:9:y:2024:i:2:p:18-:d:1324418. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.