(This abstract was borrowed from another version of this item.)"> (This abstract was borrowed from another version of this item.)">
Nothing Special   »   [go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/zbw/vfsc22/264023.html
   My bibliography  Save this paper

Using Online Vacancy and Job Applicants' Data to Study Skills Dynamics

Author

Listed:
  • Bennett, Fidel
  • Escudero, Verónica
  • Liepmann, Hannah
  • Podjanin, Ana
Abstract
We assess whether online data on vacancies and applications to a job board are a suitable source for studying skills dynamics outside of Europe and the United States, where a rich literature has examined skills dynamics using online vacancy data. Yet, the knowledge on skills dynamics is scarce for other countries, irrespective of their level of development. We first propose a taxonomy that systematically aggregates three broad categories of skills – cognitive, socioemotional and manual – and fourteen commonly observed and recognizable skills sub-categories, which we define based on unique skills identified through keywords and expressions. Our aim is to develop a taxonomy that is comprehensive but succinct, suitable for the labour market realities of developing and emerging economies and adapted to online vacancies and applicants' data. Using machine-learning techniques, we then develop a methodology that allows implementing the skills taxonomy in online vacancy and applicants' data, thus capturing both the supply and the demand side. Implementing the methodology with Uruguayan data from the job board BuscoJobs, we assign skills to 64 per cent of applicants' employment spells and 94 per cent of vacancies. We consider this a successful implementation since the exploited text information often does not follow a standardized format. The advantage of our approach is its reliance on data that is currently available in many countries across the world, thereby allowing for country-specific analysis that does not need to assume that occupational skills bundles are the same across countries. To the best of our knowledge, we are the first to explore this approach in the context of emerging economies.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Bennett, Fidel & Escudero, Verónica & Liepmann, Hannah & Podjanin, Ana, 2022. "Using Online Vacancy and Job Applicants' Data to Study Skills Dynamics," VfS Annual Conference 2022 (Basel): Big Data in Economics 264023, Verein für Socialpolitik / German Economic Association.
    • Handle: RePEc:zbw:vfsc22:264023
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/264023/1/vfs-2022-pid-69499.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. David Deming & Lisa B. Kahn, 2018. "Skill Requirements across Firms and Labor Markets: Evidence from Job Postings for Professionals," Journal of Labor Economics, University of Chicago Press, vol. 36(S1), pages 337-369.
    2. Green, Francis & Ashton, David & Felstead, Alan, 2001. "Estimating the Determinants of Supply of Computing, Problem-Solving, Communication, Social, and Teamworking Skills," Oxford Economic Papers, Oxford University Press, vol. 53(3), pages 406-433, July.
    3. Jeremy Lise & Fabien Postel-Vinay, 2020. "Multidimensional Skills, Sorting, and Human Capital Accumulation," American Economic Review, American Economic Association, vol. 110(8), pages 2328-2376, August.
    4. Marinescu, Ioana & Skandalis, Daphné & Zhao, Daniel, 2021. "The impact of the Federal Pandemic Unemployment Compensation on job search and vacancy creation," Journal of Public Economics, Elsevier, vol. 200(C).
    5. Alicia Sasser Modestino & Daniel Shoag & Joshua Ballance, 2020. "Upskilling: Do Employers Demand Greater Skill When Workers Are Plentiful?," The Review of Economics and Statistics, MIT Press, vol. 102(4), pages 793-805, October.
    6. Paul Beaudry & David A. Green & Benjamin M. Sand, 2016. "The Great Reversal in the Demand for Skill and Cognitive Tasks," Journal of Labor Economics, University of Chicago Press, vol. 34(S1), pages 199-247.
    7. Lex Borghans & Bas Ter Weel & Bruce A. Weinberg, 2014. "People Skills and the Labor-Market Outcomes of Underrepresented Groups," ILR Review, Cornell University, ILR School, vol. 67(2), pages 287-334, April.
    8. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    9. Lex Borghans & Angela Lee Duckworth & James J. Heckman & Bas ter Weel, 2008. "The Economics and Psychology of Personality Traits," Journal of Human Resources, University of Wisconsin Press, vol. 43(4).
    10. Brad Hershbein & Lisa B. Kahn, 2018. "Do Recessions Accelerate Routine-Biased Technological Change? Evidence from Vacancy Postings," American Economic Review, American Economic Association, vol. 108(7), pages 1737-1772, July.
    11. Heckman, James J. & Kautz, Tim, 2012. "Hard evidence on soft skills," Labour Economics, Elsevier, vol. 19(4), pages 451-464.
    12. Arief Anshory Yusuf & Putri Riswani Halim, 2021. "Inequality and structural transformation in the changing nature of work: The case of Indonesia," WIDER Working Paper Series wp-2021-81, World Institute for Development Economic Research (UNU-WIDER).
    13. Tim Kautz & James J. Heckman & Ron Diris & Bas ter Weel & Lex Borghans, 2014. "Fostering and Measuring Skills: Improving Cognitive and Non-cognitive Skills to Promote Lifetime Success," OECD Education Working Papers 110, OECD Publishing.
    14. Catherine J. Weinberger, 2014. "The Increasing Complementarity between Cognitive and Social Skills," The Review of Economics and Statistics, MIT Press, vol. 96(5), pages 849-861, December.
    15. Rita K. Almeida & Carlos H. L, Corseuil & Jennifer Poole, 2017. "The Impact of Digital Technologies on Worker Tasks: Do Labor Policies Matter?," CESifo Working Paper Series 6798, CESifo.
    16. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    17. James J. Heckman & Jora Stixrud & Sergio Urzua, 2006. "The Effects of Cognitive and Noncognitive Abilities on Labor Market Outcomes and Social Behavior," Journal of Labor Economics, University of Chicago Press, vol. 24(3), pages 411-482, July.
    18. Erik Lindqvist & Roine Vestman, 2011. "The Labor Market Returns to Cognitive and Noncognitive Ability: Evidence from the Swedish Enlistment," American Economic Journal: Applied Economics, American Economic Association, vol. 3(1), pages 101-128, January.
    19. Maarten Goos & Alan Manning & Anna Salomons, 2014. "Explaining Job Polarization: Routine-Biased Technological Change and Offshoring," American Economic Review, American Economic Association, vol. 104(8), pages 2509-2526, August.
    20. Ioana Marinescu & Ronald Wolthoff, 2020. "Opening the Black Box of the Matching Function: The Power of Words," Journal of Labor Economics, University of Chicago Press, vol. 38(2), pages 535-568.
    21. Piotr Lewandowski & Albert Park & Wojciech Hardy & Yang Du & Saier Wu, 2022. "Technology, Skills, and Globalization: Explaining International Differences in Routine and Nonroutine Work Using Survey Data," The World Bank Economic Review, World Bank, vol. 36(3), pages 687-708.
    22. Ioana Marinescu & Roland Rathelot, 2018. "Mismatch Unemployment and the Geography of Job Search," American Economic Journal: Macroeconomics, American Economic Association, vol. 10(3), pages 42-70, July.
    23. Brunello, Giorgio & Schlotter, Martin, 2011. "Non Cognitive Skills and Personality Traits: Labour Market Relevance and their Development in Education & Training Systems," IZA Discussion Papers 5743, Institute of Labor Economics (IZA).
    24. Peter Q. Blair & David J. Deming, 2020. "Structural Increases in Skill Demand after the Great Recession," NBER Working Papers 26680, National Bureau of Economic Research, Inc.
    25. Dani Rodrik, 2018. "New Technologies, Global Value Chains, and the Developing Economies," CESifo Working Paper Series 7307, CESifo.
    26. Peter Q. Blair & David J. Deming, 2020. "Structural Increases in Demand for Skill after the Great Recession," AEA Papers and Proceedings, American Economic Association, vol. 110, pages 362-365, May.
    27. Reijnders, Laurie S.M. & de Vries, Gaaitzen J., 2018. "Technology, offshoring and the rise of non-routine jobs," Journal of Development Economics, Elsevier, vol. 135(C), pages 412-432.
    28. Chunbing Xing, 2021. "The changing nature of work and earnings inequality in China," WIDER Working Paper Series wp-2021-105, World Institute for Development Economic Research (UNU-WIDER).
    29. Ioana Marinescu & Daphné Skandalis, 2021. "Unemployment Insurance and Job Search Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 136(2), pages 887-931.
    30. Melissa Osborne & Herbert Gintis & Samuel Bowles, 2001. "The Determinants of Earnings: A Behavioral Approach," Journal of Economic Literature, American Economic Association, vol. 39(4), pages 1137-1176, December.
    31. Matthew Groh & Nandini Krishnan & David McKenzie & Tara Vishwanath, 2016. "The impact of soft skills training on female youth employment: evidence from a randomized experiment in Jordan," IZA Journal of Labor & Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 5(1), pages 1-23, December.
    32. David J Deming & Kadeem Noray, 2020. "Earnings Dynamics, Changing Job Skills, and STEM Careers," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(4), pages 1965-2005.
    33. Almeida,Rita Kullberg & Corseuil,Carlos H. L. & Poole,Jennifer Pamela, 2017. "The impact of digital technologies on routine tasks : do labor policies matter?," Policy Research Working Paper Series 8187, The World Bank.
    34. Matthew Gentzkow & Jesse M. Shapiro & Matt Taddy, 2019. "Measuring Group Differences in High‐Dimensional Choices: Method and Application to Congressional Speech," Econometrica, Econometric Society, vol. 87(4), pages 1307-1340, July.
    35. James J. Heckman & Alan B. Krueger, 2005. "Inequality in America: What Role for Human Capital Policies?," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262582600 edited by Benjamin M. Friedman, April.
    36. Rita K. Almeida & Ana M. Fernandes & Mariana Viollaz, 2020. "Software Adoption, Employment Composition, and the Skill Content of Occupations in Chilean Firms," Journal of Development Studies, Taylor & Francis Journals, vol. 56(1), pages 169-185, January.
    37. Nicolas A. Roys & Christopher R. Taber, 2019. "Skill Prices, Occupations, and Changes in the Wage Structure for Low Skilled Men," NBER Working Papers 26453, National Bureau of Economic Research, Inc.
    38. Irena Grugulis & Steven Vincent, 2009. "Whose skill is it anyway?," Work, Employment & Society, British Sociological Association, vol. 23(4), pages 597-615, December.
    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 Deming & Lisa B. Kahn, 2018. "Skill Requirements across Firms and Labor Markets: Evidence from Job Postings for Professionals," Journal of Labor Economics, University of Chicago Press, vol. 36(S1), pages 337-369.
    2. David J. Deming, 2017. "The Growing Importance of Social Skills in the Labor Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1593-1640.
    3. Lyu, Wenjing & Liu, Jin, 2021. "Soft skills, hard skills: What matters most? Evidence from job postings," Applied Energy, Elsevier, vol. 300(C).
    4. Eckhardt Bode & Stephan Brunow & Ingrid Ott & Alina Sorgner, 2019. "Worker Personality: Another Skill Bias beyond Education in the Digital Age," German Economic Review, Verein für Socialpolitik, vol. 20(4), pages 254-294, November.
    5. Arendt, Lukasz & Gałecka-Burdziak, Ewa & Núñez, Fernando & Pater, Robert & Usabiaga, Carlos, 2023. "Skills requirements across task-content groups in Poland: What online job offers tell us," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    6. Maciej Berk{e}sewicz & Herman Cherniaiev & Robert Pater, 2021. "Estimating the number of entities with vacancies using administrative and online data," Papers 2106.03263, arXiv.org.
    7. Usabiaga, Carlos & Núñez, Fernando & Arendt, Lukasz & Gałecka-Burdziak, Ewa & Pater, Robert, 2022. "Skill requirements and labour polarisation: An association analysis based on Polish online job offers," Economic Modelling, Elsevier, vol. 115(C).
    8. Consoli, Davide & Marin, Giovanni & Rentocchini, Francesco & Vona, Francesco, 2023. "Routinization, within-occupation task changes and long-run employment dynamics," Research Policy, Elsevier, vol. 52(1).
    9. Ziegler, Lennart, 2021. "Skill Demand and Wages. Evidence from Linked Vacancy Data," IZA Discussion Papers 14511, Institute of Labor Economics (IZA).
    10. Girsberger, Esther Mirjam & Koomen, Miriam & Krapf, Matthias, 2022. "Interpersonal, cognitive, and manual skills: How do they shape employment and wages?," Labour Economics, Elsevier, vol. 78(C).
    11. Brancatelli,Calogero & Marguerie,Alicia Charlene & Koettl-Brodmann,Stefanie, 2020. "Job Creation and Demand for Skills in Kosovo : What Can We Learn from Job Portal Data?," Policy Research Working Paper Series 9266, The World Bank.
    12. Blanas, Sotiris & Oikonomou, Rigas, 2023. "COVID-induced economic uncertainty, tasks and occupational demand," Labour Economics, Elsevier, vol. 81(C).
    13. Koomen, Miriam & Backes-Gellner, Uschi, 2022. "Occupational tasks and wage inequality in West Germany: A decomposition analysis," Labour Economics, Elsevier, vol. 79(C).
    14. Christina Langer & Simon Wiederhold, 2023. "The Value of Early-Career Skills," Working Papers 222, Bavarian Graduate Program in Economics (BGPE).
    15. Marcenaro-Gutierrez, O.D. & Lopez-Agudo, L.A. & Henriques, C.O., 2021. "Are soft skills conditioned by conflicting factors? A multiobjective programming approach to explore the trade-offs," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 18-40.
    16. Josten, Cecily & Krause, Helen & Lordan, Grace & Yeung, Brian, 2024. "What skills pay more? The changing demand and return to skills for professional workers," LSE Research Online Documents on Economics 121450, London School of Economics and Political Science, LSE Library.
    17. Laible, Marie-Christine & Anger, Silke & Baumann, Martina, 2020. "Personality Traits and Further Training," IAB-Discussion Paper 202034, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    18. Alekseeva, Liudmila & Azar, José & Giné, Mireia & Samila, Sampsa & Taska, Bledi, 2021. "The demand for AI skills in the labor market," Labour Economics, Elsevier, vol. 71(C).
    19. Chuan, Amanda & Zhang, Weilong, 2023. "Non-college Occupations, Workplace Routinization, and the Gender Gap in College Enrollment," IZA Discussion Papers 16089, Institute of Labor Economics (IZA).
    20. Chuan, A. & Zhang, W., 2021. "Non-College Occupations, Workplace Routinization, and the Gender Gap in College Enrollment," Cambridge Working Papers in Economics 2177, Faculty of Economics, University of Cambridge.

    More about this item

    JEL classification:

    • J20 - Labor and Demographic Economics - - Demand and Supply of Labor - - - General
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:zbw:vfsc22:264023. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/vfsocea.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.