생산특성 및 효율성 분석을 위한 거리함수의 추정방법 비교 = A Comparison of Distance Function Estimation Methods for Analyzing Production Characteristics and Efficiency

다국어 초록 (Multilingual Abstract)

Distance function introduced by Shephard (1953) can be used to describe multi-inputs
multi-outputs production technologies without price information. Estimated distance
functions have been used for analyzing the economies of scale, the substitutability of
inputs and outputs, the shadow prices of inputs and outputs, the tehcnical and allocative
efficiencies of production organizations. Distance functions can be estimated using
several techniques which include corrected ordinary least squares (COLS), stochastic
frontier analysis (SFA), linear programming model (LPM), and quadratic programming
model (QPM). In this paper we compared the merits and demerits of the four distance
function estimation methods from a theoretical standpoint. Also we applied the
estimation methods to the real data set used in some previous studies and we observed
a guideline which allow researchers to select an appropriate distance function estimation
method.

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