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Measuring match quality using subjective data

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Abstract

We examine whether data routinely collected in household surveys and surveys of workers can be used to construct a measure of underlying match quality between worker and firm which helps test matching models and predict subsequent labour market outcomes of workers. We use subjective data from employees both on reported levels of job satisfaction with various aspects of the current job and on whether they would like a new job with a new employer to construct a measure of underlying match quality. We then use this to test several implications of matching models relating to wage-tenure profiles, wages, and separations.

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  • Priscila Ferreira & Mark Taylor, 2010. "Measuring match quality using subjective data," NIMA Working Papers 40, Núcleo de Investigação em Microeconomia Aplicada (NIMA), Universidade do Minho.
    • Handle: RePEc:nim:nimawp:40/2010
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    Cited by:

    1. Eike Emrich & Christian Pierdzioch, 2016. "Volunteering, Match Quality, and Internet Use," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 136(2), pages 199-226.
    2. Barmby, Tim & Bryson, Alex & Eberth, Barbara, 2012. "Human capital, matching and job satisfaction," Economics Letters, Elsevier, vol. 117(3), pages 548-551.
    3. Antonia Asenjo & Verónica Escudero & Hannah Liepmann, 2024. "Why Should we Integrate Income and Employment Support? A Conceptual and Empirical Investigation," Journal of Development Studies, Taylor & Francis Journals, vol. 60(1), pages 1-29, January.
    4. Gaetano Lisi, 2018. "Job satisfaction, time allocation and labour supply," Working Papers 2018-04, Universita' di Cassino, Dipartimento di Economia e Giurisprudenza.
    5. Constantin Mang, 2016. "Market Consequences of ICT Innovations," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 70.
    6. Yi Zhang & Martin Salm & Arthur Soest, 2021. "The effect of training on workers’ perceived job match quality," Empirical Economics, Springer, vol. 60(5), pages 2477-2498, May.
    7. Gaetano Lisi, 2018. "Job satisfaction, job match quality and labour supply decisions," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 65(4), pages 489-505, December.
    8. Marta Silva & Luis Filipe Martins & Helena Lopes, 2015. "Asymmetric labour market reforms and wage growth with fixed-term contracts: does learning about match quality matter?," Working Papers Series 2 15-04, ISCTE-IUL, Business Research Unit (BRU-IUL).
    9. 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.
    10. Kampkötter, Patrick & Petters, Lea M. & Sliwka, Dirk, 2021. "Employee identification and wages – on the economics of “Affective Commitment”," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 608-626.
    11. David C. Ribar & Mark Wooden, 2020. "Four Dimensions of Quality in Australian Jobs," The Economic Record, The Economic Society of Australia, vol. 96(S1), pages 26-49, June.
    12. LIU Yang, 2019. "Relative Wages and Job Satisfaction of Migrant Workers: An Economic Perspective Using Data from Japan," Discussion papers 19033, Research Institute of Economy, Trade and Industry (RIETI).
    13. Zubanov, Nick & Shakina, Elena, 2023. "Performance Costs and Benefits of Collective Turnover: A Theory-Driven Measurement Framework and Applications," IZA Discussion Papers 16413, Institute of Labor Economics (IZA).
    14. Adam Ayaita & Christian Grund & Lisa Pütz, 2022. "Job Placement via Private vs. Public Employment Agencies: Investigating Selection Effects and Job Match Quality in Germany," Schmalenbach Journal of Business Research, Springer, vol. 74(2), pages 137-162, June.
    15. Berlingieri, Francesco & Erdsiek, Daniel, 2012. "How relevant is job mismatch for German graduates?," ZEW Discussion Papers 12-075, ZEW - Leibniz Centre for European Economic Research.
    16. Yang, Yanlin & Shao, Xu, 2018. "Understanding industrialization and employment quality changes in China: Development of a qualitative measurement," China Economic Review, Elsevier, vol. 47(C), pages 274-281.
    17. Barmby, Tim & Bryson, Alex & Eberth, Barbara, 2012. "Human capital, matching and job satisfaction," Economics Letters, Elsevier, vol. 117(3), pages 548-551.

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    More about this item

    Keywords

    panel data; wages; job mobility; match effects; BHPS;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • J28 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Safety; Job Satisfaction; Related Public Policy
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion
    • J63 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Turnover; Vacancies; Layoffs

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