本課程介紹效率(efficiency)與生產力(productivity)分析的四個主要研究方法，即最小平方計量生產分析法(least-squares econometric production models)、指數分析法(index numbers)、資料包絡分析法(data envelopment analysis, 簡稱DEA)、隨機邊界分析法(stochastic frontiers analysis, 簡稱SFA)。本課程將對每個研究方法的基本理論、特點、應用與限制詳加介紹，並以實際投入產出資料與運算來說明其基本觀念，並討論其重要的延伸。本課程並將每個研究方法的重要參考文獻與應用做一般性介紹。本課程理論與應用並重，與效率與生產力分析相關的軟體程式，例如SHAZAM、GAMS、TFPIP、DEAP、FRONTIER等軟體程式將在課堂上加以說明與示範。

軟體程式:
(1) TFPIP、DEAP、FRONTIER等套裝軟體程式。
(2) GAMS: Release 2.25, 1992, Washington, D.C.: GAMS Development Corp. 本程式置於臺灣大學農業經濟學研究所電腦室，請向電腦室 諸秀姬小姐申請使用。

I. INTRODUCTION
1. Introduction
2. Some Informal Definitions
3. Overview of Methods
4. Outline of Chapters
5. What is Your Economics Background?
II. REVIEW OF PRODUCTION ECONOMICS
1. Introduction
2. Production Functions
3. Transformation Functions
4. Cost Functions
5. Revenue Functions
6. Profit Functions
7. Conclusions
III. PRODUCTIVITY AND EFFICIENCY MEASUREMENT CONCEPTS
1. Introduction
2. Set Theoretic Representation of a Production Technology
3. Output and Input Distance Functions
4. Efficiency Measurement using Distance, Cost and Revenue Functions
5. Measuring Productivity and Productivity Change
6. Conclusions
IV. INDEX NUMBERS AND PRODUCTIVITY MEASUREMENT
1. Introduction
2. Conceptual Framework and Notation
3. Formulae for Price Index Numbers
4. Quantity Index Numbers
5. Properties of Index Numbers: The Test Approach
6. The Economic-Theoretic Approach
7. A Simple Numerical Example
8. Transitivity in Multilateral Comparisons
9. TFP Change Measurement Using Index Numbers
10. Empirical Application: Australian National Railways
11. Conclusions
V. DATA AND MEASUREMENT ISSUES
1. Introduction
2. Outputs
3. Inputs
4. Prices
5. Comparisons over Time
6. Output Aggregates for Sectoral and Economy-wide Comparisons
7. Cross-Country Comparisons of Productivity
8. Data Editing and Errors
9. Conclusions
VI. DATA ENVELOPMENT ANALYSIS (DEA)
1. Introduction
2. The Constant Returns to Scale (CRS) DEA Model
3. The Variable Returns to Scale (VRS) Model and Scale Efficiencies
4. Input and Output Orientations
5. Conclusions
VII. ADDITIONAL TOPICS ON DATA ENVELOPMENT ANALYSIS
1. Introduction
2. Price Information and Allocative Efficiency
3. Non-Discretionary Variables
4. Adjusting for the Environment
5. Input Congestion
6. Treatment of Slacks
7. Additional Methods
8. Empirical Application: Australian Universities
9. Conclusions
VIII. ECONOMETRIC ESTIMATION OF PRODUCTION TECHNOLOGIES
1. Introduction
2. Production, Cost and Profit Functions
3. Single Equation Estimation
4. Imposing Equality Constraints
5. Hypothesis Testing
6. Systems Estimation
7. Inequality Constraints
8. The Bayesian Approach
9. Simulation Methods
10. Conclusions
IX. STOCHASTIC FRONTIER ANALYSIS
1. Introduction
2. The Stochastic Production Frontier
3. Estimating the Parameters
4. Predicting Technical Efficiency
5. Hypothesis Testing
6. Conclusions
X. ADDITIONAL TOPICS ON STOCHASTIC FRONTIER ANALYSIS
1. Introduction
2. Distance Functions
3. Cost Frontiers
4. Decomposing Cost Efficiency
5. Scale Efficiency
6. Panel Data Models
7. Accounting for the Production Environment
8. The Bayesian Approach
9. Conclusions
XI. THE CALCULATION AND DECOMPOSITION OF PRODUCTIVITY CHANGE USING FROUNTIER METHODS
1. Introduction
2. The Malmquist TFP Index and Panel Data
3. Calculation using DEA Frontiers
4. Calculation using SFA Frontiers
5. An Empirical Application
6. Conclusions
XII. CONCLUSIONS
1. Summary of Methods
2. Relative Merits of the Methods
3. Some Final Points