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International Data on Measuring Management Practices

Author

Listed:
  • Nicholas Bloom
  • Renata Lemos
  • Raffaella Sadun
  • Daniela Scur
  • John Van Reenen
Abstract
We examine methods used to survey firms on their management and organizational practices. We contrast the strengths and weaknesses of "open ended questions" (like the World Management Survey) with "closed questions" (like the MOPS). For this type of data, open ended questions give higher quality responses, but are more costly than closed question-based surveys.

Suggested Citation

  • Nicholas Bloom & Renata Lemos & Raffaella Sadun & Daniela Scur & John Van Reenen, 2016. "International Data on Measuring Management Practices," CEP Occasional Papers 46, Centre for Economic Performance, LSE.
    • Handle: RePEc:cep:cepops:46
    as

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    File URL: https://cep.lse.ac.uk/pubs/download/occasional/op046.pdf
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    References listed on IDEAS

    as
    1. Nicholas Bloom & Renata Lemos & Raffaella Sadun & Daniela Scur & John Van Reenen, 2014. "The New Empirical Economics of Management," NBER Working Papers 20102, National Bureau of Economic Research, Inc.
    2. Nicholas Bloom & Helena Schweiger & John Van Reenen, 2012. "The land that lean manufacturing forgot?," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 20(4), pages 593-635, October.
    3. Marianne Bertrand & Antoinette Schoar, 2003. "Managing with Style: The Effect of Managers on Firm Policies," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(4), pages 1169-1208.
    4. Nicholas Bloom & Erik Brynjolfsson & Lucia Foster & Ron Jarmin & Itay Saporta-Eksten & John Van Reenen, 2013. "Management in America," Working Papers 13-01, Center for Economic Studies, U.S. Census Bureau.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    management practices; international data;

    JEL classification:

    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General

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