Exploiting sequential learning to estimate establishment-level productivity dynamics and decision rules
This paper develops a sequential learning estimator of production functions and productivity dynamics for unbalanced establishment panels. Extending an idea from the literature on dynamic industry models, establishments are uncertain about their own idiosyncratic productivities and update productivi...
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| Format: | Working paper |
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University of Oxford
2007
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