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The effect of learning by hiring on productivity

Author

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  • Pierpaolo Parrotta
  • Dario Pozzoli

Abstract

This work studies the phenomenon of inter- rm labor mobility as potential channel of knowledge transfer. Using data from the Danish employer-employee register, covering the period 1995-2005, it investigates how the knowledge embed- ded into recruited workers, coming from other rms, contributes to the process of knowledge di usion and boosts rms productivity. Speci cally, estimating both parametric (Cobb-Douglas) and semi-parametric production functions (Olley and Pakes, 1996; Levinsohn and Petrin, 2003), the impact of recruited technicians and highly educated workers on total factor productivity at the rm level is found to be signi cantly positive. A matching analysis, which allows for contin- uous treatment e ect evaluation (Hirano and Imbens, 2004), corroborates this nding.
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Suggested Citation

  • Pierpaolo Parrotta & Dario Pozzoli, 2012. "The effect of learning by hiring on productivity," RAND Journal of Economics, RAND Corporation, vol. 43(1), pages 167-185, March.
    • Handle: RePEc:bla:randje:v:43:y:2012:i:1:p:167-185
    DOI: j.1756-2171.2012.00161.x
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    1. Stephen Bond & Måns Söderbom, 2005. "Adjustment Costs and the Identification of Cobb Douglas Production Functions," Economics Papers 2005-W04, Economics Group, Nuffield College, University of Oxford.
    2. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(2), pages 317-341.
    3. Michele Cincera, 2005. "Firms' productivity growth and R&D spillovers: An analysis of alternative technological proximity measures," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 14(8), pages 657-682.
    4. Wooldridge, Jeffrey M., 2009. "On estimating firm-level production functions using proxy variables to control for unobservables," Economics Letters, Elsevier, vol. 104(3), pages 112-114, September.
    5. Petit, Maria Luisa & Tolwinski, Boleslaw, 1997. "Technology sharing cartels and industrial structure," International Journal of Industrial Organization, Elsevier, vol. 15(1), pages 77-101, February.
    6. Richard Blundell & Stephen Bond, 2000. "GMM Estimation with persistent panel data: an application to production functions," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 321-340.
    7. Stephen Bond & Måns Söderbom, 2005. "Adjustment Costs and the Identification of Cobb Douglas Production Functions," Economics Series Working Papers 2005-W04, University of Oxford, Department of Economics.
    8. Amil Petrin & Brian P. Poi & James Levinsohn, 2004. "Production function estimation in Stata using inputs to control for unobservables," Stata Journal, StataCorp LP, vol. 4(2), pages 113-123, June.
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    More about this item

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • J33 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Compensation Packages; Payment Methods
    • J38 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Public Policy
    • J51 - Labor and Demographic Economics - - Labor-Management Relations, Trade Unions, and Collective Bargaining - - - Trade Unions: Objectives, Structure, and Effects

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