A Reduced-Form Model for Dynamic Efficiency Measurement: Application to Dairy Farms in Germany and The Netherlands
AbstractThe 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. Copyright 2010, Oxford University Press.
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Bibliographic InfoArticle provided by Agricultural and Applied Economics Association in its journal American Journal of Agricultural Economics.
Volume (Year): 93 (2010)
Issue (Month): 1 ()
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- Wagner, Christina & Huettel, Silke & Odening, Martin & Narayana, Rashmi, 2013. "Measuring Dynamic Efficiency under Uncertainty: An Application to German Dairy Farms," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149632, Agricultural and Applied Economics Association.
- Orea, L. & Steinbuks, J., 2012. "Estimating market power in homogenous product markets using a composed error model: application to the California electricity market," Cambridge Working Papers in Economics 1220, Faculty of Economics, University of Cambridge.
- Jorge E. Galán & Helena Veiga & Michael P. Wiper, 2013. "Bayesian analysis of dynamic effects in inefficiency : evidence from the Colombian banking sector," Statistics and Econometrics Working Papers ws131918, Universidad Carlos III, Departamento de Estadística y Econometría.
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