IDEAS home Printed from https://ideas.repec.org/p/wbk/wboper/37657.html
   My bibliography  Save this paper

Brazil Poverty and Equity Assessment

Author

Listed:
  • World Bank

Abstract

No abstract is available for this item.

Suggested Citation

  • World Bank, 2022. "Brazil Poverty and Equity Assessment," World Bank Publications - Reports 37657, The World Bank Group.
  • Handle: RePEc:wbk:wboper:37657
    as

    Download full text from publisher

    File URL: https://openknowledge.worldbank.org/bitstreams/19298bfa-067d-504c-8e34-00b20e3139d2/download
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David H. Autor, 2019. "Work of the Past, Work of the Future," AEA Papers and Proceedings, American Economic Association, vol. 109, pages 1-32, May.
    2. Daron Acemoglu & Pascual Restrepo, 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 3-30, Spring.
    3. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    4. World Bank, 2020. "The Human Capital Index 2020 Update," World Bank Publications - Books, The World Bank Group, number 34432.
    5. Andre Loureiro & Louisee Cruz & Ildo Lautharte & David K. Evans, 2020. "The State of Ceara in Brazil is a Role Model for Reducing Learning Poverty," World Bank Publications - Reports 34156, The World Bank Group.
    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. David Kunst, 2019. "Deskilling among Manufacturing Production Workers," Tinbergen Institute Discussion Papers 19-050/VI, Tinbergen Institute, revised 30 Dec 2020.
    2. Raphael Auer & David Köpfer & Josef Švéda & Raphael A. Auer, 2024. "The Rise of Generative AI: Modelling Exposure, Substitution, and Inequality Effects on the US Labour Market," CESifo Working Paper Series 11410, CESifo.
    3. Katya Klinova & Anton Korinek, 2021. "AI and Shared Prosperity," Papers 2105.08475, arXiv.org.
    4. Barth, Erling & Davis, James C. & Freeman, Richard B. & McElheran, Kristina, 2023. "Twisting the demand curve: Digitalization and the older workforce," Journal of Econometrics, Elsevier, vol. 233(2), pages 443-467.
    5. Czarnitzki, Dirk & Fernández, Gastón P. & Rammer, Christian, 2023. "Artificial intelligence and firm-level productivity," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 188-205.
    6. Bauluz, Luis & Bukowski, Pawel & Fransham, Mark & Lee, Annie Seong & López Forero, Margarita & Novokmet, Filip & Breau, Sébastien & Lee, Neil & Malgouyres, Clément & Schularick, Moritz & Verdugo, Greg, 2023. "Spatial wage inequality in North America and Western Europe: changes between and within local labour markets 1975-2019," LSE Research Online Documents on Economics 121290, London School of Economics and Political Science, LSE Library.
    7. Lee Ohanian & Musa Orak & Shihan Shen, 2023. "Revisiting Capital-Skill Complementarity, Inequality, and Labor Share," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 51, pages 479-505, December.
    8. Lu, Jing & Xiao, Qinglan & Wang, Taoxuan, 2023. "Does the digital economy generate a gender dividend for female employment? Evidence from China," Telecommunications Policy, Elsevier, vol. 47(6).
    9. Montobbio, Fabio & Staccioli, Jacopo & Virgillito, Maria Enrica & Vivarelli, Marco, 2022. "Robots and the origin of their labour-saving impact," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    10. Aniruddh Mohan & Parth Vaishnav, 2022. "Impact of automation on long haul trucking operator-hours in the United States," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-10, December.
    11. Gries, Thomas & Naudé, Wim, 2022. "Modelling artificial intelligence in economics," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 56, pages 1-12.
    12. Davide Antonioli & Alberto Marzucchi & Francesco Rentocchini & Simone Vannuccini, 2022. "Robot Adoption and Innovation Activities (last revised: December 2023)," Munich Papers in Political Economy 21, Munich School of Politics and Public Policy and the School of Management at the Technical University of Munich.
    13. Maha Kalai & Hamdi Becha & Kamel Helali, 2024. "Effect of artificial intelligence on economic growth in European countries: a symmetric and asymmetric cointegration based on linear and non-linear ARDL approach," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 13(1), pages 1-37, December.
    14. Aisa, Rosa & Cabeza, Josefina & Martin, Jorge, 2023. "Automation and aging: The impact on older workers in the workforce," The Journal of the Economics of Ageing, Elsevier, vol. 26(C).
    15. Mélika Ben Salem, 2021. "The future of labour segmentation after Covid-19," Post-Print hal-04176303, HAL.
    16. Yuki, Kazuhiro, 2012. "Mechanization, task assignment, and inequality," MPRA Paper 37754, University Library of Munich, Germany.
    17. Huanan Liu & Yan Wang & Zhoufu Yan, 2024. "Artificial Intelligence and Food Processing Firms Productivity: Evidence from China," Sustainability, MDPI, vol. 16(14), pages 1-18, July.
    18. José-Ignacio Antón & David Klenert & Enrique Fernández-Macías & Maria Cesira Urzì Brancati & Georgios Alaveras, 2022. "The labour market impact of robotisation in Europe," European Journal of Industrial Relations, , vol. 28(3), pages 317-339, September.
    19. Su, Chi-Wei & Yuan, Xi & Umar, Muhammad & Lobonţ, Oana-Ramona, 2022. "Does technological innovation bring destruction or creation to the labor market?," Technology in Society, Elsevier, vol. 68(C).
    20. Wang, Heting & Wang, Huijuan & Guan, Rong, 2024. "Digitalization of industries and labor mobility in China," China Economic Review, Elsevier, vol. 87(C).

    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:wbk:wboper:37657. 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: Tal Ayalon (email available below). General contact details of provider: https://edirc.repec.org/data/dvewbus.html .

    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.