IDEAS home Printed from https://ideas.repec.org/p/red/sed006/504.html
   My bibliography  Save this paper

Career Choice and Wage Growth

Author

Listed:
  • Ronni Pavan

    (Economics University of Rochester)

Abstract

This paper develops and estimates a search model in which career-specific and firm-specific matches determine job mobility and wage growth. Each worker-firm and worker-career relationship is characterized by a match that evolves stochastically over time. At each period, a worker has three options. He can: 1) stay at his current firm, 2) draw a new firm-specific match by changing employer or 3) change career by drawing a new career and firm-specific match. I calculate the likelihood function treating the model as a non-Gaussian state-space model where the unobserved state variables are the firm and career matches and the non-gaussianity is due to the selection process. I use the structural estimates to calculate ex-ante and ex-post returns to firm tenure or career experience. The implied estimates of the returns are different from the estimates that I would find using standard IV techniques. In order to understand the causes of these differences, I show that these IV techniques are not able to consistently estimate the parameters of a search model like the one presented in this paper.

Suggested Citation

  • Ronni Pavan, 2006. "Career Choice and Wage Growth," 2006 Meeting Papers 504, Society for Economic Dynamics.
  • Handle: RePEc:red:sed006:504
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Bowlus, Audra J. & Liu, Huju, 2013. "The contributions of search and human capital to earnings growth over the life cycle," European Economic Review, Elsevier, vol. 64(C), pages 305-331.
    2. Gueorgui Kambourov & Iourii Manovskii, 2009. "Occupational Specificity Of Human Capital," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 50(1), pages 63-115, February.
    3. Nathaniel Baum-Snow & Ronni Pavan, 2012. "Understanding the City Size Wage Gap," Review of Economic Studies, Oxford University Press, vol. 79(1), pages 88-127.
    4. Nathaniel Baum-Snow & Ronni Pavan, 2012. "Understanding the City Size Wage Gap," Review of Economic Studies, Oxford University Press, vol. 79(1), pages 88-127.
    5. Shintaro Yamaguchi, 2012. "Tasks and Heterogeneous Human Capital," Journal of Labor Economics, University of Chicago Press, vol. 30(1), pages 1-53.
    6. Alexandros Zangelidis, 2008. "Occupational And Industry Specificity Of Human Capital In The British Labour Market," Scottish Journal of Political Economy, Scottish Economic Society, vol. 55(4), pages 420-443, September.
    7. Wiebke Schulz & Ineke Maas, 2010. "Studying historical occupational careers with multilevel growth models," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 23(24), pages 669-696.
    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. Gabriel M. Ahlfeldt & Stephen J. Redding & Daniel M. Sturm & Nikolaus Wolf, 2015. "The Economics of Density: Evidence From the Berlin Wall," Econometrica, Econometric Society, vol. 83, pages 2127-2189, November.
    2. Alessia Matano & Paolo Naticchioni, 2009. "Wage distribution and the spatial sorting of workers and firms," Working Papers - Dipartimento di Economia 8-DEISFOL, Dipartimento di Economia, Sapienza University of Rome, revised 2009.
    3. Marcus Berliant & Chia-Ming Yu, 2015. "Locational Signaling And Agglomeration," Journal of Regional Science, Wiley Blackwell, vol. 55(5), pages 757-773, November.
    4. Combes, Pierre-Philippe & Duranton, Gilles & Gobillon, Laurent & Roux, Sébastien, 2012. "Sorting and local wage and skill distributions in France," Regional Science and Urban Economics, Elsevier, vol. 42(6), pages 913-930.
    5. De la Roca, Jorge, 2017. "Selection in initial and return migration: Evidence from moves across Spanish cities," Journal of Urban Economics, Elsevier, vol. 100(C), pages 33-53.
    6. Susumu Imai & Derek Stacey & Casey Warman, 2019. "From engineer to taxi driver? Language proficiency and the occupational skills of immigrants," Canadian Journal of Economics, Canadian Economics Association, vol. 52(3), pages 914-953, August.
    7. Ralph Stinebrickner & Todd Stinebrickner & Paul Sullivan, 2019. "Job Tasks, Time Allocation, and Wages," Journal of Labor Economics, University of Chicago Press, vol. 37(2), pages 399-433.
    8. Eduardo Levy Yeyati, 2020. "Specificity of Human Capital: An Occupation Space Based on Job-to-Job Transitions," CID Working Papers 379, Center for International Development at Harvard University.
    9. Simonetta Longhi & Mark Taylor, 2013. "Occupational Change and Mobility Among Employed and Unemployed Job Seekers," Scottish Journal of Political Economy, Scottish Economic Society, vol. 60(1), pages 71-100, February.
    10. Alessia Matano & Paolo Naticchioni, 2016. "What Drives The Urban Wage Premium? Evidence Along The Wage Distribution," Journal of Regional Science, Wiley Blackwell, vol. 56(2), pages 191-209, March.
    11. Yamamura, Eiji & Ohtake, Fumio, 2021. "Firm-specific human capital in different market conditions: Evidence from the Japanese football league," Japan and the World Economy, Elsevier, vol. 58(C).
    12. Sérgio Lagoa & Fátima Suleman, 2016. "Industry- and occupation-specific human capital: evidence from displaced workers," International Journal of Manpower, Emerald Group Publishing, vol. 37(1), pages 44-68, April.
    13. By Barbara Mueller & Jürg Schweri, 2015. "How specific is apprenticeship training? Evidence from inter-firm and occupational mobility after graduation," Oxford Economic Papers, Oxford University Press, vol. 67(4), pages 1057-1077.
    14. Sullivan, Paul, 2010. "Empirical evidence on occupation and industry specific human capital," Labour Economics, Elsevier, vol. 17(3), pages 567-580, June.
    15. Kritkorn Nawakitphaitoon & Russell Ormiston, 2016. "The estimation methods of occupational skills transferability [Die Methoden zur Einschätzung der Übertragbarkeit beruflicher Kompetenzen]," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 49(4), pages 317-327, December.
    16. Colin Caines & Florian Hoffmann & Gueorgui Kambourov, 2017. "Complex-Task Biased Technological Change and the Labor Market," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 25, pages 298-319, April.
    17. Carl Sanders, 2012. "Skill Uncertainty, Skill Accumulation, and Occupational Choice," 2012 Meeting Papers 633, Society for Economic Dynamics.
    18. Matthias Wrede, 2013. "Heterogeneous skills and homogeneous land: segmentation and agglomeration," Journal of Economic Geography, Oxford University Press, vol. 13(5), pages 767-798, September.
    19. Jorge De La Roca & Diego Puga, 2017. "Learning by Working in Big Cities," Review of Economic Studies, Oxford University Press, vol. 84(1), pages 106-142.
    20. Carl Sanders & Christopher Taber, 2012. "Life-Cycle Wage Growth and Heterogeneous Human Capital," Annual Review of Economics, Annual Reviews, vol. 4(1), pages 399-425, July.

    More about this item

    Keywords

    Career choice; wage growth; structural estimation; job mobility;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • 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
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

    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:red:sed006:504. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/sedddea.html .

    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: Christian Zimmermann (email available below). General contact details of provider: https://edirc.repec.org/data/sedddea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.