Measuring management practices

Delis, Manthos D. and Tsionas, Mike G. (2018) Measuring management practices. International Journal of Production Economics, 199. pp. 65-77. ISSN 0925-5273

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Abstract

Good management practices are remarkably difficult to robustly measure, especially when unique data on firms and their managers are not available. We propose a new model estimated with Bayesian techniques that requires only the usual accounting data on inputs and outputs and thus can be applied to any firm. We show that our management practices estimates are more than 90% correlated with existing state-of-the-art measures from a very specialized data set by Bloom and Van Reenen (2007). We also obtain very high correlations when conducting an extensive Monte Carlo analysis. Finally, we show that frontier-based methods previously used to estimate management practices do not provide good approximations.

Item Type:

Journal Article

Journal or Publication Title:

International Journal of Production Economics

Additional Information:

This is the author’s version of a work that was accepted for publication in International Journal of Production Economics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in International Journal of Production Economics, 199, 2018 DOI: 10.1016/j.ijpe.2018.02.006

Uncontrolled Keywords:

/dk/atira/pure/subjectarea/asjc/1400/1400

Subjects:

?? management practicesproductivitycost efficiencybayesian methodsgeneral business,management and accountingeconomics and econometricsmanagement science and operations researchindustrial and manufacturing engineeringbusiness, management and accounting(all) ??

Departments:

Lancaster University Management School > Economics

ID Code:

123824

Deposited By:

ep_importer_pure

Deposited On:

01 Mar 2018 14:42

Refereed?:

Yes

Published?:

Published