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Management as a Technology?

Listed author(s):
  • Nicholas Bloom

    ()

    (Stanford University - Department of Economics)

  • Raffaella Sadun

    ()

    (Harvard Business School, Strategy Unit)

  • John Van Reenen

    ()

    (London School of Economics)

Are some management practices akin to a technology that can explain firm and national productivity, or do they simply reflect contingent management styles? We collect data on core management practices from over 11,000 firms in 34 countries. We find large cross-country differences in the adoption of management practices, with the US having the highest size-weighted average management score. We present a formal model of "Management as a Technology", and structurally estimate it using panel data to recover parameters including the depreciation rate and adjustment costs of managerial capital (both found to be larger than for tangible non-managerial capital). Our model also predicts (i) a positive impact of management on firm performance; (ii) a positive relationship between product market competition and average management quality (part of which stems from the larger covariance between management with firm size as competition strengthens); and (iii) a rise in the level and a fall in the dispersion of management with firm age. We find strong empirical support for all of these predictions in our data. Finally, building on our model, we find that differences in management practices account for about 30% of total factor productivity differences both between countries and within countries across firms.

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Paper provided by Harvard Business School in its series Harvard Business School Working Papers with number 16-133.

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Length: 81 pages
Date of creation: May 2016
Date of revision: Oct 2017
Handle: RePEc:hbs:wpaper:16-133
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  1. Luis Garicano & Claire Lelarge & John Van Reenen, 2016. "Firm Size Distortions and the Productivity Distribution: Evidence from France," American Economic Review, American Economic Association, vol. 106(11), pages 3439-3479, November.
  2. Kalemli-Ozcan, Sebnem & Sorensen, Bent E. & Villegas-Sanchez, Carolina & Volosovych, Vadym & Yesiltas, Sevcan, 2015. "How to construct nationally representative firm level data from the ORBIS global database," CEPR Discussion Papers 10829, C.E.P.R. Discussion Papers.
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