Abstract
The stochastic distance function model is extended to allow for the inefficiency component of the error term to be autocorrelated, as implied by a dynamic model of firm behavior. The autocorrelation parameter can then be interpreted as a measure of the persistence of inefficiency. The model is viewed from a state-space perspective, and Kalman filtering techniques are proposed for estimation. The model is applied to two panels of dairy farms from Germany and the Netherlands. The results suggest a very high degree of persistence of inefficiency through time.
| Original language | English |
|---|---|
| Pages (from-to) | 161-174 |
| Number of pages | 14 |
| Journal | American Journal of Agricultural Economics |
| Volume | 93 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1 Jan 2011 |
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