Stochastic productivity measurement |
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Authors: | Robert G. Chambers |
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Affiliation: | (1) University of Maryland, 2200 Symons Hall, College Park, MD 20742, USA |
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Abstract: | Stochastic productivity indicators are defined, and superlative measures of these indicators are derived. It is shown that, in the presence of complete markets or a common-expectations equilibrium, differences in the market values of firms are superlative indicators of cross-sectional productivity differences. Exactness results are used to decompose nonstochastic productivity indicators into a measure of true productivity change and a measure of ‘luck’. The decomposition is illustrated empirically. |
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Keywords: | Productivity measurement Uncertainty Risk |
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