NTU Course
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Microeconomic Theory (Ⅱ) B

Offered in 113-2

  • Serial Number

    59179

  • Course Number

    ECON8813

  • Course Identifier

    323 M0840

  • No Class

  • 2 Credits

  • Compulsory

    GRADUATE INSTITUTE OF ECONOMICS

      Compulsory

    • GRADUATE INSTITUTE OF ECONOMICS

  • JUNROK PARK

  • Intensive Course

    Week 9, 10, 11, 12, 13, 14, 15, 16

  • Mon 7, 8, 9 / Wed 9, 10

  • 社科研607

  • Type 1

  • 20 Student Quota

    NTU 20

  • No Specialization Program

  • English
  • NTU COOL
  • Core Capabilities and Curriculum Planning
  • Notes
    The course is conducted in English。Intensive courses。A required course for Ph.D. students. WED9,10 is the TA session. Prerequisites: ECON7009 (Introduction to Quantitative Methods).Intensive course (Week 9~ Week 16)
  • Limits on Course Adding / Dropping

    • Restriction: MA students and beyond or Restriction: Ph. D students

  • NTU Enrollment Status

    Enrolled
    0/20
    Other Depts
    0/0
    Remaining
    0
    Registered
    0
  • Course Description
    This class will introduce students to the problems of moral hazard and asymmetric information. We show how these forces can undermine the efficiency of markets and discuss how contracting can help address these problems. This class focuses on developing common tools, and draws applications from labor economics, industrial organization and public economics.
  • Course Objective
    By the end of the course, students are expected to understand the basic toolkits of mechanism design and contract theory to formalize economic concepts and ideas.
  • Course Requirement
    Students are expected to understand undergraduate level Microeconomic theory and standard solution techniques for constrained optimization problems.
  • Expected weekly study hours after class
    Please see the syllabus at https://www.dropbox.com/scl/fi/ww21hp7ga5fi4598q1wzh/syllabus_graduate_micro2B.pdf?rlkey=kz2ggl97ggmljqgnc6ki23d91&dl=0
  • Office Hour
  • Designated Reading
  • References
  • Grading
  • Adjustment methods for students
  • Course Schedule