IDEAS home Printed from https://ideas.repec.org/a/spr/izalbr/v4y2015i1p1-2010.1186-s40172-015-0034-4.html
   My bibliography  Save this article

Using online vacancies and web surveys to analyse the labour market: a methodological inquiry

Author

Listed:
  • Lucia Kureková
  • Miroslav Beblavý
  • Anna Thum-Thysen

Abstract

This paper discusses methodological issues arising from the use of online job vacancy data and voluntary web-based surveys to analyse the labour market. We highlight the advantages and possible disadvantages of using online data and suggest strategies for overcoming selected methodological issues. We underline the difficulties in adjusting for representativeness of online job vacancies, but nevertheless argue that this rich source of data should be exploited. JEL codes: E4, J2 Copyright Kureková et al. 2015

Suggested Citation

  • Lucia Kureková & Miroslav Beblavý & Anna Thum-Thysen, 2015. "Using online vacancies and web surveys to analyse the labour market: a methodological inquiry," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-20, December.
  • Handle: RePEc:spr:izalbr:v:4:y:2015:i:1:p:1-20:10.1186/s40172-015-0034-4
    DOI: 10.1186/s40172-015-0034-4
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1186/s40172-015-0034-4
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1186/s40172-015-0034-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Andriana Bellou, 2015. "The impact of Internet diffusion on marriage rates: evidence from the broadband market," Journal of Population Economics, Springer;European Society for Population Economics, vol. 28(2), pages 265-297, April.
    2. Nikolaos Askitas & Klaus F. Zimmermann, 2009. "Google Econometrics and Unemployment Forecasting," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 55(2), pages 107-120.
    3. Nikolaos Askitas & Klaus F. Zimmermann, 2015. "The internet as a data source for advancement in social sciences," International Journal of Manpower, Emerald Group Publishing Limited, vol. 36(1), pages 2-12, April.
    4. repec:wyi:journl:002164 is not listed on IDEAS
    5. Kailing Shen & Peter Kuhn, 2013. "Do Chinese Employers Avoid Hiring Overqualified Workers? Evidence from an Internet Job Board," Research in Labor Economics, in: Labor Market Issues in China, pages 1-30, Emerald Group Publishing Limited.
    6. Janna Besamusca & Kea Tijdens, 2015. "Comparing collective bargaining agreements for developing countries," International Journal of Manpower, Emerald Group Publishing Limited, vol. 36(1), pages 86-102, April.
    7. Peter Kuhn & Kailing Shen, 2013. "Gender Discrimination in Job Ads: Evidence from China," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(1), pages 287-336.
    8. Peter Kuhn & Hani Mansour, 2014. "Is Internet Job Search Still Ineffective?," Economic Journal, Royal Economic Society, vol. 124(581), pages 1213-1233, December.
    9. Benjamin Edelman, 2012. "Using Internet Data for Economic Research," Journal of Economic Perspectives, American Economic Association, vol. 26(2), pages 189-206, Spring.
    10. van Ours, Jan & Ridder, Geert, 1992. "Vacancies and the Recruitment of New Employees," Journal of Labor Economics, University of Chicago Press, vol. 10(2), pages 138-155, April.
    11. Peter Kuhn, 2014. "The internet as a labor market matchmaker," IZA World of Labor, Institute of Labor Economics (IZA), pages 1-18, May.
    12. Matthias Schonlau & Arthur van Soest & Arie Kapteyn & Mick Couper, 2009. "Selection Bias in Web Surveys and the Use of Propensity Scores," Sociological Methods & Research, , vol. 37(3), pages 291-318, February.
    13. repec:aia:aiaswp:wp76 is not listed on IDEAS
    14. Martin Guzi & Pablo de Pedraza García, 2015. "A web survey analysis of subjective well-being," International Journal of Manpower, Emerald Group Publishing Limited, vol. 36(1), pages 48-67, April.
    15. Margaret Maurer-Fazio, 2012. "Ethnic discrimination in China's internet job board labor market," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 1(1), pages 1-24, December.
    16. repec:iza:izawol:journl:y:2014:p:18 is not listed on IDEAS
    17. Constantin Mang, 2012. "Online Job Search and Matching Quality," ifo Working Paper Series 147, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    18. Michelle Jackson, 2001. "Non-Meritocratic Job Requirements and the Reproduction of Class Inequality: An Investigation," Work, Employment & Society, British Sociological Association, vol. 15(3), pages 619-630, September.
    19. Maurer-Fazio, Margaret & Lei, Lei, 2014. ""As Rare as a Panda": How Facial Attractiveness, Gender, and Occupation Affect Interview Callbacks at Chinese Firms," IZA Discussion Papers 8605, Institute of Labor Economics (IZA).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Pietro Giorgio Lovaglio & Mario Mezzanzanica & Emilio Colombo, 2020. "Comparing time series characteristics of official and web job vacancy data," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(1), pages 85-98, February.
    2. Raymundo M. Campos-Vázquez & Julio César Martínez Sánchez, 2024. "Habilidades buscadas por las empresas en el mercado laboral mexicano: un análisis de las ofertas laborales publicadas en internet/Skills sought by companies in the Mexican labor market: An analysis o," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 39(2), pages 243–278-2.
    3. Natalia Shmatko & Galina Volkova, 2020. "Bridging the Skill Gap in Robotics: Global and National Environment," SAGE Open, , vol. 10(3), pages 21582440209, September.
    4. Piróg Danuta & Hibszer Adam, 2023. "Which Skills are the Most Prized? Analysing Monetary Value of Geographers’ Skills on the Labour Market in Six European Countries," Quaestiones Geographicae, Sciendo, vol. 42(4), pages 63-79, December.
    5. He, Chuan & Mau, Karsten & Xu, Mingzhi, 2021. "Trade Shocks and Firms Hiring Decisions: Evidence from Vacancy Postings of Chinese Firms in the Trade War," Labour Economics, Elsevier, vol. 71(C).
    6. Zhou, Jinyan & Du, Ping & Zhao, Wen & Feng, Siche, 2022. "Skill requirements and remunerations in the private teacher labor market: Estimations with online advertisements in China," International Journal of Educational Development, Elsevier, vol. 92(C).
    7. Mamertino, Mariano & Sinclair, Tara M., 2019. "Migration and online job search: A gravity model approach," Economics Letters, Elsevier, vol. 181(C), pages 51-53.
    8. Jyldyz Djumalieva & Antonio Lima & Cath Sleeman, 2018. "Classifying Occupations According to Their Skill Requirements in Job Advertisements," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2018-04, Economic Statistics Centre of Excellence (ESCoE).
    9. Brencic, Vera & McGee, Andrew, 2023. "Employers’ Demand for Personality Traits and Provision of Incentives," Working Papers 2023-14, University of Alberta, Department of Economics.
    10. Kimberly Scharf & Oleksandr Talavera & Linh Vi, 2023. "Gender Differences in Returns to Beauty," Discussion Papers 23-08, Department of Economics, University of Birmingham.
    11. Pablo de Pedraza & Martin Guzi & Kea Tijdens, 2020. "Life satisfaction of employees, labour market tightness and matching efficiency," International Journal of Manpower, Emerald Group Publishing Limited, vol. 42(3), pages 341-355, July.
    12. Kalee Burns & Julie L. Hotchkiss, 2023. "The Role of Social Costs in Response to Labor Market Opportunities: Differences across Race," FRB Atlanta Working Paper 2023-7, Federal Reserve Bank of Atlanta.
    13. Ahood Almaleh & Muhammad Ahtisham Aslam & Kawther Saeedi & Naif Radi Aljohani, 2019. "Align My Curriculum: A Framework to Bridge the Gap between Acquired University Curriculum and Required Market Skills," Sustainability, MDPI, vol. 11(9), pages 1-13, May.
    14. Pedro S. Martins, 2017. "Clicking towards Mozambique's New Jobs: A research note," Working Papers 85, Queen Mary, University of London, School of Business and Management, Centre for Globalisation Research.
    15. Pablo de Pedraza & Martin Guzi & Kea Tijdens, 2020. "Life Dissatisfaction and Anxiety in COVID-19 pandemic," MUNI ECON Working Papers 2020-03, Masaryk University, revised Feb 2023.
    16. 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.
    17. Leonardo Fabio Morales & Carlos Ospino & Nicole Amaral, 2021. "Online Vacancies and its Role in Labor Market Performance," Borradores de Economia 1174, Banco de la Republica de Colombia.
    18. Tara Sinclair & Mariano Mamertino, 2016. "Online Job Search and Migration Intentions Across EU Member States," Working Papers 2016-5, The George Washington University, Institute for International Economic Policy.
    19. Faryna, Oleksandr & Pham, Tho & Talavera, Oleksandr & Tsapin, Andriy, 2022. "Wage and unemployment: Evidence from online job vacancy data," Journal of Comparative Economics, Elsevier, vol. 50(1), pages 52-70.
    20. Pietro Giorgio Lovaglio, 2022. "Do job vacancies variations anticipate employment variations by sector? Some preliminary evidence from Italy," LABOUR, CEIS, vol. 36(1), pages 71-93, March.
    21. Kureková, Lucia Mýtna & Žilin?íková, Zuzana, 2016. "What is the Value of Foreign Work Experience? Analysing Online CV Data in Slovakia," IZA Discussion Papers 9921, Institute of Labor Economics (IZA).

    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. Simionescu, Mihaela & Zimmermann, Klaus F., 2017. "Big Data and Unemployment Analysis," GLO Discussion Paper Series 81, Global Labor Organization (GLO).
    2. Fabo, B., 2017. "Towards an understanding of job matching using web data," Other publications TiSEM b8b877f2-ae6a-495f-b6cc-9, Tilburg University, School of Economics and Management.
    3. Nikolaos Askitas & Klaus F. Zimmermann, 2015. "The internet as a data source for advancement in social sciences," International Journal of Manpower, Emerald Group Publishing Limited, vol. 36(1), pages 2-12, April.
    4. Brian Fabo & Miroslav Beblavý & Karolien Lenaerts, 2017. "The importance of foreign language skills in the labour markets of Central and Eastern Europe: assessment based on data from online job portals," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 44(3), pages 487-508, August.
    5. Kureková, Lucia Mýtna & Beblavy, Miroslav & Thum, Anna-Elisabeth, 2014. "Using Internet Data to Analyse the Labour Market: A Methodological Enquiry," IZA Discussion Papers 8555, Institute of Labor Economics (IZA).
    6. Karolien Lenaerts & Miroslav Beblavý & Brian Fabo, 2016. "Prospects for utilisation of non-vacancy Internet data in labour market analysis—an overview," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 5(1), pages 1-18, December.
    7. Blazquez, Desamparados & Domenech, Josep, 2018. "Big Data sources and methods for social and economic analyses," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 99-113.
    8. Beblavý, Miroslav & Fabo, Brian & Lenaerts, Karolien, 2016. "Skills Requirements for the 30 Most-Frequently Advertised Occupations in the United States: An analysis based on online vacancy data," CEPS Papers 11406, Centre for European Policy Studies.
    9. Beblavý, Miroslav & Fabo, Brian & Lenaerts, Karolien, 2016. "Demand for Digital Skills in the US Labour Market: The IT Skills Pyramid," CEPS Papers 12055, Centre for European Policy Studies.
    10. D’Amuri, Francesco & Marcucci, Juri, 2017. "The predictive power of Google searches in forecasting US unemployment," International Journal of Forecasting, Elsevier, vol. 33(4), pages 801-816.
    11. Xin Zhao & Yishuo Jiao & Dan Wu, 2022. "The impact of Internet use on labor wage distortions: Empirical Evidence From China," SAGE Open, , vol. 12(2), pages 21582440221, May.
    12. Nuarpear Lekfuangfu & Voraprapa Nakavachara & Paphatsorn Sawaengsuksant, 2017. "Glancing at Labour Market Mismatch with User-generated Internet Data," PIER Discussion Papers 53, Puey Ungphakorn Institute for Economic Research.
    13. Peter Kuhn, 2014. "The internet as a labor market matchmaker," IZA World of Labor, Institute of Labor Economics (IZA), pages 1-18, May.
    14. Asgari, Mahdi & Nemati, Mehdi & Zheng, Yuqing, 2018. "Nowcasting Food Stock Movement using Food Safety Related Web Search Queries," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266323, Southern Agricultural Economics Association.
    15. Peter Kuhn & Kailing Shen, 2015. "Do employers prefer migrant workers? Evidence from a Chinese job board," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-31, December.
    16. Edward P. Lazear & Kathryn L. Shaw & Christopher T. Stanton, 2016. "Who Gets Hired? The Importance of Finding an Open Slot," NBER Working Papers 22202, National Bureau of Economic Research, Inc.
    17. Button, Patrick & Walker, Brigham, 2020. "Employment discrimination against Indigenous Peoples in the United States: Evidence from a field experiment," Labour Economics, Elsevier, vol. 65(C).
    18. Gürtzgen, Nicole & (né Nolte), André Diegmann & Pohlan, Laura & van den Berg, Gerard J., 2021. "Do digital information technologies help unemployed job seekers find a job? Evidence from the broadband internet expansion in Germany," European Economic Review, Elsevier, vol. 132(C).
    19. Czernich, Nina, 2014. "Does broadband internet reduce the unemployment rate? Evidence for Germany," Information Economics and Policy, Elsevier, vol. 29(C), pages 32-45.

    More about this item

    Keywords

    Internet; Job; Labour market; Methodology; Occupation; Online; Representativeness; Vacancy;
    All these keywords.

    JEL classification:

    • E4 - Macroeconomics and Monetary Economics - - Money and Interest Rates
    • J2 - Labor and Demographic Economics - - Demand and Supply of Labor

    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:spr:izalbr:v:4:y:2015:i:1:p:1-20:10.1186/s40172-015-0034-4. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.