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Francesco Carbonero

Personal Details

First Name:Francesco
Middle Name:
Last Name:Carbonero
Suffix:
RePEc Short-ID:pca1275
[This author has chosen not to make the email address public]
http://www.iab.de/754/section.aspx/Mitarbeiter/9996381

Affiliation

(90%) Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche
Università degli Studi di Torino

Torino, Italy
http://www.esomas.unito.it/
RePEc:edi:dstorit (more details at EDIRC)

(10%) International Labour Organization (ILO)
United Nations

Genève, Switzerland
http://www.ilo.org/
RePEc:edi:ilounch (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Software

Working papers

  1. Francesco Carbonero & Jeremy Davies & Ekkehard Ernst & Sayantan Ghosal & Leaza McSorley, 2021. "Anxiety, Expectations Stabilization and Intertemporal Markets: Theory, Evidence and Policy," Working Papers 2021_12, Business School - Economics, University of Glasgow.
  2. Carbonero, Francesco & Scicchitano, Sergio, 2021. "Labour and technology at the time of Covid-19. Can artificial intelligence mitigate the need for proximity?," GLO Discussion Paper Series 765, Global Labor Organization (GLO).
  3. Carbonero, Francesco & Davies, Jeremy & Ernst, Ekkehard & Fossen, Frank M. & Samaan, Daniel & Sorgner, Alina, 2021. "The Impact of Artificial Intelligence on Labor Markets in Developing Countries: A New Method with an Illustration for Lao PDR and Viet Nam," IZA Discussion Papers 14944, Institute of Labor Economics (IZA).
  4. Carbonero, Francesco & Ernst, Ekkehard & Weber, Enzo, 2020. "Robots worldwide: the impact of automation on employment and trade," IAB-Discussion Paper 202007, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
  5. Carbonero, Francesco & Gartner, Hermann, 2017. "Inspecting the relation of search cost and search duration for new hires," FAU Discussion Papers in Economics 21/2017, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
  6. Francesco Carbonero & Christian Offermanns & Enzo Weber, 2017. "The Trend in Labour Income Share: the Role of Technological Change and Imperfect Labour Markets," Working Papers 173, Bavarian Graduate Program in Economics (BGPE).
  7. Carbonero, Francesco & Offermanns, Christian J. & Weber, Enzo, 2017. "The fall of the labour income share: the role of technological change and imperfect labour markets," IAB-Discussion Paper 201728, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

Articles

  1. Francesco Carbonero & Jeremy Davies & Ekkehard Ernst & Frank M. Fossen & Daniel Samaan & Alina Sorgner, 2023. "The impact of artificial intelligence on labor markets in developing countries: a new method with an illustration for Lao PDR and urban Viet Nam," Journal of Evolutionary Economics, Springer, vol. 33(3), pages 707-736, July.
  2. Francesco Carbonero & Christian Offermans & Enzo Weber, 2023. "The Fall of the Labor Income Share: the Role of Technological Change and Hiring Frictions," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 49, pages 251-268, July.
  3. Carbonero, Francesco & Gartner, Hermann, 2022. "A Note On The Relation Between Search Costs And Search Duration For New Hires," Macroeconomic Dynamics, Cambridge University Press, vol. 26(1), pages 263-276, January.
  4. Christian Hutter & Francesco Carbonero & Sabine Klinger & Carsten Trenkler & Enzo Weber, 2022. "Which factors were behind Germany's labour market upswing? A data‐driven approach," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(5), pages 1052-1076, October.
  5. Carbonero, Francesco & Devicienti, Francesco & Manello, Alessandro & Vannoni, Davide, 2021. "Women on board and firm export attitudes: Evidence from Italy," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 159-175.

Software components

  1. Francesco Carbonero & Enzo Weber & Christian Offermans, 2022. "Code and data files for "The Fall of the Labor Income Share: the Role of Technological Change and Hiring Frictions"," Computer Codes 20-123, Review of Economic Dynamics.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Carbonero, Francesco & Scicchitano, Sergio, 2021. "Labour and technology at the time of Covid-19. Can artificial intelligence mitigate the need for proximity?," GLO Discussion Paper Series 765, Global Labor Organization (GLO).

    Cited by:

    1. Ainaa, Carmen & Brunetti, Irene & Mussida, Chiara & Scicchitano, Sergio, 2021. "Who lost the most? Distributive effects of COVID-19 pandemic," GLO Discussion Paper Series 829, Global Labor Organization (GLO).
    2. Liliana Cuccu & Vicente Royuela & Sergio Scicchitano, 2023. ""Navigating the Precarious Path: Understanding the Dualisation of the Italian Labour Market through the Lens of Involuntary Part-Time Employment"," IREA Working Papers 202314, University of Barcelona, Research Institute of Applied Economics, revised Oct 2023.
    3. Schettino, Francesco & Scicchitano, Sergio & Suppa, Domenico, 2024. "COVID 19 and Wage Polarization: A task based approach," GLO Discussion Paper Series 1398, Global Labor Organization (GLO).
    4. Caselli, Mauro & Fracasso, Andrea, 2021. "Covid-19 and Technology," GLO Discussion Paper Series 1001, Global Labor Organization (GLO).

  2. Carbonero, Francesco & Ernst, Ekkehard & Weber, Enzo, 2020. "Robots worldwide: the impact of automation on employment and trade," IAB-Discussion Paper 202007, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

    Cited by:

    1. Naude, Wim, 2019. "The race against the robots and the fallacy of the giant cheesecake: Immediate and imagined impacts of artificial intelligence," MERIT Working Papers 2019-005, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    2. Filippo Belloc & Gabriel Burdin & Fabio Landini, 2023. "Advanced Technologies and Worker Voice," Economica, London School of Economics and Political Science, vol. 90(357), pages 1-38, January.
    3. José-Ignacio Antón & Enrique Fernández-Macías & Rudolf Winter-Ebmer, 2020. "Does robotization affect job quality? Evidence from European regional labour markets," CDL Aging, Health, Labor working papers 2020-20, The Christian Doppler (CD) Laboratory Aging, Health, and the Labor Market, Johannes Kepler University Linz, Austria.
    4. Chen, Shih-Chih & Jiang, Wei & Ma, Yin, 2020. "Decent work in a transition economy: An empirical study of employees in China," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    5. Kariem Soliman, 2021. "Are Industrial Robots a new GPT? A Panel Study of Nine European Countries with Capital and Quality-adjusted Industrial Robots as Drivers of Labour Productivity Growth," EIIW Discussion paper disbei307, Universitätsbibliothek Wuppertal, University Library.
    6. Klump, Rainer & Jurkat, Anne & Schneider, Florian, 2021. "Tracking the rise of robots: A survey of the IFR database and its applications," MPRA Paper 107909, University Library of Munich, Germany.
    7. Guendalina Anzolin, 2021. "Automation and its Employment Effects: A Literature Review of Automotive and Garment Sectors," JRC Working Papers on Labour, Education and Technology 2021-16, Joint Research Centre.
    8. Stemmler, Henry, 2019. "Does automation lead to de-industrialization in emerging economies? Evidence from Brazil," University of Göttingen Working Papers in Economics 382, University of Goettingen, Department of Economics.
    9. M. Battisti & M. Del Gatto & A. F. Gravina & C. F. Parmeter, 2021. "Robots versus labor skills: a complementarity/substitutability analysis," Working Paper CRENoS 202104, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    10. Enrique Fernandez-Macias & David Klenert & Jose-Ignacio Anton, 2020. "Not so disruptive yet? Characteristics, distribution and determinants of robots in Europe," JRC Working Papers on Labour, Education and Technology 2020-03, Joint Research Centre.
    11. Davide Dottori, 2021. "Robots and employment: evidence from Italy," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(2), pages 739-795, July.
    12. Bobanović, Mieta, 2021. "Germany And The United Kingdom: Under The Shadow Of The Great Decoupling," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, vol. 12(2), pages 147-155.
    13. Huang, Keqi & Liu, Qiren & Tang, Chengjian, 2023. "Which firms benefit from robot adoption? Evidence from China," Journal of Asian Economics, Elsevier, vol. 86(C).
    14. García, Carlos J. & González, Wildo D. & Rivera, Tiare, 2024. "Robots at work in emerging developing countries: How bad could it be?," Labour Economics, Elsevier, vol. 87(C).
    15. Bastos, Paulo & Artuc, Erhan & Rijkers, Bob, 2020. "Robots, Tasks, and Trade," CEPR Discussion Papers 14487, C.E.P.R. Discussion Papers.
    16. Jasmine Mondolo, 2022. "The composite link between technological change and employment: A survey of the literature," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1027-1068, September.
    17. Jongchang Ahn & Soonki Jeong & Donghan Lee, 2023. "Research on the Items of Importance and Satisfaction for Employability in the Korean Information Communication Technology Sector," Sustainability, MDPI, vol. 15(16), pages 1-20, August.
    18. Faber, Marius, 2020. "Robots and reshoring: Evidence from Mexican labor markets," Journal of International Economics, Elsevier, vol. 127(C).
    19. Carbonero, Francesco & Ernst, Ekkehard & Weber, Enzo, 2020. "Robots worldwide: the impact of automation on employment and trade," IAB-Discussion Paper 202007, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    20. Praveen Jha & Preksha Mishra, 2022. "Persistent Vulnerabilities in the World of Work and Contemporary Capitalism: Some Reflections on India," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 65(2), pages 347-372, June.
    21. Rekha Ravindran & Suresh Babu Manalaya, 2023. "Does Premature Deindustrialisation Stall Growth? Evidence from Sub-Saharan Africa," Progress in Development Studies, , vol. 23(1), pages 65-81, January.
    22. Martin Krzywdzinski, 2021. "Automation, digitalization, and changes in occupational structures in the automobile industry in Germany, Japan, and the United States: a brief history from the early 1990s until 2018 [Managing fle," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 30(3), pages 499-535.
    23. Zhang, Yi & Wang, Ting & Liu, Chun, 2024. "Beyond the modern productivity paradox: The effect of robotics technology on firm-level total factor productivity in China," Journal of Asian Economics, Elsevier, vol. 90(C).
    24. Angelo d’Errico & Chiara Ardito & Roberto Leombruni & Fulvio Ricceri & Giuseppe Costa & Carlotta Sacerdote & Anna Odone, 2022. "Working Conditions and Health Among Italian Ageing Workers," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 162(3), pages 1043-1067, August.
    25. Jung, Jin Hwa & Lim, Dong-Geon, 2020. "Industrial robots, employment growth, and labor cost: A simultaneous equation analysis," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    26. Mutascu, Mihai, 2021. "Artificial intelligence and unemployment: New insights," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 653-667.
    27. Barbieri, Laura & Mussida, Chiara & Piva, Mariacristina & Vivarelli, Marco, 2019. "Testing the employment and skill impact of new technologies: A survey and some methodological issues," MERIT Working Papers 2019-032, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    28. Guarascio, Dario & Piccirillo, Alessandro & Reljic, Jelena, 2024. "Will robot replace workers? Assessing the impact of robots on employment and wages with meta-analysis," GLO Discussion Paper Series 1395, Global Labor Organization (GLO).
    29. Filippi, Emilia & Bannò, Mariasole & Trento, Sandro, 2023. "Automation technologies and their impact on employment: A review, synthesis and future research agenda," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    30. Martin Labaj & Materj Vitalos, 2019. "Automation and labor demand in European countries: A task-based approach to wage bill decomposition," Department of Economic Policy Working Paper Series 021, Department of Economic Policy, Faculty of National Economy, University of Economics in Bratislava.
    31. Bacchetta, Marc & Bekkers, Eddy & Piermartini, Roberta & Rubinova, Stela & Stolzenburg, Victor & Xu, Ankai, 2021. "COVID-19 and global value chains: A discussion of arguments on value chain organization and the role of the WTO," WTO Staff Working Papers ERSD-2021-3, World Trade Organization (WTO), Economic Research and Statistics Division.
    32. Fuchs Martina, 2020. "Does the Digitalization of Manufacturing Boost a ‘Smart’ Era of Capital Accumulation?," ZFW – Advances in Economic Geography, De Gruyter, vol. 64(2), pages 47-57, June.
    33. Belloc, Filippo & Burdin, Gabriel & Landini, Fabio, 2022. "Robots, Digitalization, and Worker Voice," GLO Discussion Paper Series 1038, Global Labor Organization (GLO).
    34. Luis R. Diaz Pavez & Inmaculada Martinez-Zarzoso, 2023. "The impact of local and foreign automation on labor market outcomes in emerging countries," Working Papers 2023.01, International Network for Economic Research - INFER.
    35. Belloc, Filippo & Burdin, Gabriel & Landini, Fabio, 2020. "Robots and Worker Voice: An Empirical Exploration," IZA Discussion Papers 13799, Institute of Labor Economics (IZA).
    36. Wang, Ting & Zhang, Yi & Liu, Chun, 2024. "Robot adoption and employment adjustment: Firm-level evidence from China," China Economic Review, Elsevier, vol. 84(C).
    37. Wolter, Marc Ingo & Mönnig, Anke & Maier, Tobias & Schneemann, Christian & Steeg, Stefanie & Weber, Enzo & Zika, Gerd, 2021. "Langfristige Folgen der Covid-19-Pandemie für Wirtschaft, Branchen und Berufe," IAB-Forschungsbericht 202102, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    38. Pinheiro, Alexandra & Sochirca, Elena & Afonso, Oscar & Neves, Pedro Cunha, 2023. "Automation and off(re)shoring: A meta-regression analysis," International Journal of Production Economics, Elsevier, vol. 264(C).
    39. Astrid Krenz & Holger Strulik, 2021. "Quantifying reshoring at the macro‐level—Measurement and applications," Growth and Change, Wiley Blackwell, vol. 52(3), pages 1200-1229, September.
    40. Alguacil Marí, María Teresa & Lo Turco, Alessia & Martínez-Zarzoso, Inmaculada, 2020. "What is so special about robots and trade?," University of Göttingen Working Papers in Economics 410, University of Goettingen, Department of Economics.
    41. Azmeh, Shamel & Nguyen, Huong & Kuhn, Marlene, 2022. "Automation and industrialisation through global value chains: North Africa in the German automotive wiring harness industry," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 125-138.
    42. Fan, Haichao & Hu, Yichuan & Tang, Lixin, 2021. "Labor costs and the adoption of robots in China," Journal of Economic Behavior & Organization, Elsevier, vol. 186(C), pages 608-631.
    43. Rapan Florian & Rapan Ivona, 2021. "Robots – A Strategic Solution from Recovery to Resilience," RAIS Conference Proceedings 2021 0092, Research Association for Interdisciplinary Studies.
    44. Hutter, Christian & Weber, Enzo, 2021. "Labour market miracle, productivity debacle: Measuring the effects of skill-biased and skill-neutral technical change," Economic Modelling, Elsevier, vol. 102(C).
    45. Hidalgo, Camila & Micco, Alejandro, 2024. "Computerization, offshoring and trade: The effect on developing countries," World Development, Elsevier, vol. 180(C).
    46. Chi Gong & Xianghui Yang & Hongru Tan & Xiaoye Lu, 2023. "Industrial Robots, Economic Growth, and Sustainable Development in an Aging Society," Sustainability, MDPI, vol. 15(5), pages 1-12, March.
    47. Liu, Liang & Yang, Kun & Fujii, Hidemichi & Liu, Jun, 2021. "Artificial Intelligence and Energy Intensity in China’s Industrial Sector: Effect and Transmission Channel," MPRA Paper 106333, University Library of Munich, Germany.

  3. Carbonero, Francesco & Gartner, Hermann, 2017. "Inspecting the relation of search cost and search duration for new hires," FAU Discussion Papers in Economics 21/2017, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.

    Cited by:

    1. Bossler, Mario & Gürtzgen, Nicole & Kubis, Alexander & Küfner, Benjamin & Lochner, Benjamin, 2020. "The IAB Job Vacancy Survey: design and research potential," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 54(1), pages 1-13.
    2. Hutter, Christian & Klinger, Sabine & Trenkler, Carsten & Weber, Enzo, 2019. "Which factors are behind Germany's labour market upswing?," IAB-Discussion Paper 201920, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    3. Carbonero, Francesco & Offermanns, Christian J. & Weber, Enzo, 2017. "The fall of the labour income share: the role of technological change and imperfect labour markets," IAB-Discussion Paper 201728, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    4. Francesco Carbonero & Christian Offermanns & Enzo Weber, 2017. "The Trend in Labour Income Share: the Role of Technological Change and Imperfect Labour Markets," Working Papers 173, Bavarian Graduate Program in Economics (BGPE).

  4. Francesco Carbonero & Christian Offermanns & Enzo Weber, 2017. "The Trend in Labour Income Share: the Role of Technological Change and Imperfect Labour Markets," Working Papers 173, Bavarian Graduate Program in Economics (BGPE).

    Cited by:

    1. Carbonero, Francesco & Ernst, Ekkehard & Weber, Enzo, 2020. "Robots worldwide: the impact of automation on employment and trade," IAB-Discussion Paper 202007, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    2. Gómez-Plana Antonio G. & Latorre María C., 2019. "Digitalization, Multinationals and Employment: An Empirical Analysis of Their Causal Relationships," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(3), pages 399-439, June.
    3. Hutter, Christian & Weber, Enzo, 2021. "Labour market miracle, productivity debacle: Measuring the effects of skill-biased and skill-neutral technical change," Economic Modelling, Elsevier, vol. 102(C).

  5. Carbonero, Francesco & Offermanns, Christian J. & Weber, Enzo, 2017. "The fall of the labour income share: the role of technological change and imperfect labour markets," IAB-Discussion Paper 201728, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

    Cited by:

    1. Osiander, Christopher & Stephan, Gesine, 2018. "Unter welchen Bedingungen würden sich Beschäftigte weiterbilden? : Ergebnisse eines faktoriellen Surveys," IAB-Discussion Paper 201804, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    2. Carbonero, Francesco & Ernst, Ekkehard & Weber, Enzo, 2020. "Robots worldwide: the impact of automation on employment and trade," IAB-Discussion Paper 202007, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    3. Gómez-Plana Antonio G. & Latorre María C., 2019. "Digitalization, Multinationals and Employment: An Empirical Analysis of Their Causal Relationships," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(3), pages 399-439, June.
    4. Hutter, Christian & Weber, Enzo, 2021. "Labour market miracle, productivity debacle: Measuring the effects of skill-biased and skill-neutral technical change," Economic Modelling, Elsevier, vol. 102(C).

Articles

  1. Francesco Carbonero & Christian Offermans & Enzo Weber, 2023. "The Fall of the Labor Income Share: the Role of Technological Change and Hiring Frictions," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 49, pages 251-268, July.

    Cited by:

    1. Yu, Fan & Zheng, Shilin & Zheng, Shuhong & Guo, Chenhao, 2024. "Does carbon ETS affect the distribution of labor's slice of the factor income pie? From the low carbon transition perspective," Energy Economics, Elsevier, vol. 134(C).

  2. Christian Hutter & Francesco Carbonero & Sabine Klinger & Carsten Trenkler & Enzo Weber, 2022. "Which factors were behind Germany's labour market upswing? A data‐driven approach," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(5), pages 1052-1076, October.

    Cited by:

    1. Christian Merkl & Timo Sauerbier, 2023. "Public Employment Agency Reform, Matching Efficiency, and German Unemployment," SOEPpapers on Multidisciplinary Panel Data Research 1185, DIW Berlin, The German Socio-Economic Panel (SOEP).

  3. Carbonero, Francesco & Devicienti, Francesco & Manello, Alessandro & Vannoni, Davide, 2021. "Women on board and firm export attitudes: Evidence from Italy," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 159-175.

    Cited by:

    1. Astrid Kunze & Katrin Scharfenkamp, 2022. "Gender Diversity, Gender in the Boardroom and Gender Quotas," CESifo Working Paper Series 10077, CESifo.
    2. Yunyan Wei, 2024. "Gender matters: board gender diversity and firms’ export resilience," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    3. Jérémie Bertrand & Aurore Burietz, 2023. "(Loan) price and (loan officer) prejudice," Post-Print hal-04130884, HAL.
    4. Schoonjans, Eline & Hottenrott, Hanna & Buchwald, Achim, 2023. "Welcome on board? Appointment dynamics of women as directors," ZEW Discussion Papers 23-005, ZEW - Leibniz Centre for European Economic Research.
    5. Kunze, Astrid & Scharfenkamp, Katrin, 2022. "Gender Diversity, Labour in the Boardroom and Gender Quotas," IZA Discussion Papers 15691, Institute of Labor Economics (IZA).
    6. Kunze, Astrid & Katrin Scharfenkamp, Katrin, 2022. "Gender diversity, labour in the boardroom and gender quotas," Discussion Paper Series in Economics 16/2022, Norwegian School of Economics, Department of Economics.
    7. Aljughaiman, Abdullah A. & Cao, Ngan Duong & Trinh, Vu Quang & Albarrak, Mohammed & Vo, Xuan Vinh, 2023. "Does gender diversity affect financial strength differently in conventional and Islamic banks? Evidence from MENA countries," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
    8. Schoonjans, Eline, 2024. "From diversity to sustainability: Environmental and social spillover effects of board gender quotas," Journal of Economic Behavior & Organization, Elsevier, vol. 222(C), pages 314-331.
    9. Barbara Pistoresi & Erica Poma & Alberto Rinaldi, 2022. "Gender quota on corporate boards in Italy: spillover effects and financial performance," Department of Economics 0208, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".

Software components

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Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 8 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-BIG: Big Data (3) 2021-02-01 2021-07-12 2022-01-31. Author is listed
  2. NEP-MAC: Macroeconomics (3) 2017-11-05 2018-01-08 2021-07-12. Author is listed
  3. NEP-TID: Technology and Industrial Dynamics (3) 2017-09-24 2020-11-23 2022-01-31. Author is listed
  4. NEP-INT: International Trade (2) 2019-01-14 2020-11-23. Author is listed
  5. NEP-ORE: Operations Research (2) 2021-07-12 2022-01-31. Author is listed
  6. NEP-CMP: Computational Economics (1) 2022-01-31
  7. NEP-EUR: Microeconomic European Issues (1) 2017-09-24
  8. NEP-LAB: Labour Economics (1) 2017-09-24
  9. NEP-LMA: Labor Markets - Supply, Demand, and Wages (1) 2022-01-31
  10. NEP-SEA: South East Asia (1) 2022-01-31

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