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A Reduced-Form Model for Dynamic Efficiency Measurement: Application to Dairy Farms in Germany and The Netherlands

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Author Info

  • Grigorios Emvalomatis
  • Spiro E. Stefanou
  • Alfons Oude Lansink

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. Copyright 2010, Oxford University Press.

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File URL: http://hdl.handle.net/10.1093/ajae/aaq125
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Bibliographic Info

Article provided by Agricultural and Applied Economics Association in its journal American Journal of Agricultural Economics.

Volume (Year): 93 (2010)
Issue (Month): 1 ()
Pages: 161-174

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Handle: RePEc:oup:ajagec:v:93:y:2010:i:1:p:161-174

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Cited by:
  1. 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.
  2. 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.
  3. 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.

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