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Published online by Cambridge University Press: 28 April 2015
Cost and volume data used in long-run cost studies often are observations from a single cross-section on firms or the average of multiple observations for each firm [1, 3, 5]. Averaging costs and volume over a time series is designed to eliminate the effect of short-run disturbances on the estimated long-run cost function. This practice results in a loss of information on the cost effects of short-run disturbances and significantly reduces the potential degrees of freedom that could result from pooling cross-sectional time-series data. In order to pool data, binary variables for each firm previously have been used to account for short-run fixed firm effects [4].