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Friday, September 11, 2015

Measuring Productivity

In K@W: Key issue, that I have yet to see done very well.   Or in a standard way that can bear continuous monitoring.  Likely due to the context rapidly changing.

" ..When a company undergoes a technological change — such as introducing robots or reorganizing the workflow in manufacturing — does it mainly make individual workers more productive because they will be able to churn out more widgets per hour? Or does it make all factors of production equally more productive — workers can produce more widgets, state-of-the-art equipment can accomplish tasks faster, materials that can be sourced more efficiently are used, among others?

Macroeconomists assume that technological change is biased and increases labor productivity alone, while the literature on productivity assumes that it increases the productivity of all factors equally, or that technological change is Hicks neutral. A new paper, “Measuring the Bias of Technological Change,” from Ulrich Doraszelski, Wharton professor of business economics and public policy, and Jordi Jaumandreu, senior academic researcher at Boston University, shows that the truth is somewhere in between  .... " 

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