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Course Detail

Degree
Master
Standard Academic Year
Half
Course delivery methods
face-to-face
Subject
Biological sciences
Program
School
College of Bio-Resources & Agriculture
Department
Campus
Main Campus
Classroom
Course Offering Year
Course Offering Month
September - January
Weekday and Period
Wednesday 7,8,9
Capacity
20
Credits
3
Language
English
Course Number
AGEC7072

Efficiency and Productivity Analysis National Taiwan University

Course Overview

1. INTRODUCTION

1. Introduction

2. Some Informal Definitions

3. Overview of Methods

4. Outline of Chapters

5. What is Your Economics Background?

Learning Achievement

The purpose of this course is to introduce four major methods and their applications in the measurement of efficiency and productivity growth. The four major methods are: least-squares econometric production models, index numbers, data envelopment analysis (DEA), and stochastic frontiers analysis. The basic concepts, characteristics and limitations of each methodology will be elaborated. Numeric exercises and case studies will be provided. Specifically, major items includes: 1) Basic concepts of production theory and their applications. 2) Production function, cost function, profit function and duality. 3) Empirical applications of Production function, cost function, profit function. 4) Introduction and applications of index numbers and total factor productivity 5) Introduction and applications of Data Envelopment Analysis 6) Introduction and applications of Stochastic Frontier Analysis 7) Introduction and applications of GAMS、SHAZAM、SAS and related softwares in the measurement of efficiency and productivity growth

Competence

Course prerequisites

*Restrict to international students.

Grading Philosophy

Course schedule

Course type

Online Course Requirement

Instructor

Shih Hsun Hsu

Other information

Graduate Institute of Agricultural Economics

Site for Inquiry

Please inquire about the courses at the address below.

Email address: http://www.agec.ntu.edu.tw/main.php?lang=en&Trad2Simp=n