 Checking date: 20/05/2022

Course: 2022/2023

Mathematical optimization for Economics
(13444)
Study: Bachelor in Economics (202)

Coordinating teacher: RINCON ZAPATERO, JUAN PABLO

Department assigned to the subject: Department of Economics

Type: Compulsory
ECTS Credits: 3.0 ECTS

Course:
Semester:

Requirements (Subjects that are assumed to be known)
Introductoy Mathematics for Economics Mathematics for Economics I
Objectives
This subject provides the quantitative instruments that are needed to pose and analyze economic problems with the aid of a formal model. In working toward the above goal the student will acquire the following competences and skills. Regarding the contents of the course, the student will be able of: - Understand the tools of mathematical analysis used in the resolution of otimization problems - Analyze economic models set as optimization problems without constraints, with equality constraints, or with inequality constraints - Know how to interpret the Lagrange and the Khun-Tucker multipliers, to make comparative statics in economics problems and to use the Envelope Theorem to make qualitative study of optimization problems, with a view to economic applications. Pertaining the general competences or skills, in the class the student will develop: - The ability to address economic problems by means of abstract models. - The ability to solve the above formal models. - The ability to interpret and classify the different solutions and apply the appropriate conclusions to social contexts. - The ability to use the basic tools that are need in the modern analysis of economic problems. Through out the course, the student should maintain: - An inquisitive attitude when developing logical reasoning, being able to tell apart a proof from an example. - An entrepreneurial and imaginative attitude towards the cases studied. - A critical attitude towards the formal results and their applicability in social contexts.
Skills and learning outcomes
Description of contents: programme
Topic 1: Optimization without constraints - Optimization in open sets. First and second order necessary conditions. Second order sufficient conditions. - Global extrema of concave/convex functions. Topic 2: Optimization with equality constraints - Local and global relative extremum. Lagrangian and Lagrange multipliers. First order necessary conditions. Second order sufficient conditions. - Optimization of concave/convex functions with equality constraints. - Economic interpretation of the Lagrange multipliers. Topic 3: Optimization with inequality constraints - Formulation of the problem. Kuhn-Tucker necessary and sufficient conditions - Comparative statics: value function and Envelope Theorem. - Convex programming. - Economic interpretation of the Kuhn-Tucker multipliers.
Learning activities and methodology
The course lectures will be based on combining theoretical explanations with several practical exercises. The students should attempt to solve the exercises by themselves, before they are addressed in class. Student participation is considered very important in order to acquire the skills needed to pose and solve economic models.
Assessment System
• % end-of-term-examination 60
• % of continuous assessment (assigments, laboratory, practicals...) 40
Calendar of Continuous assessment
Basic Bibliography
• Alpha C. Chiang y Kevin Wainwright. Fundamental methods of mathematical economics. Mc Graw Hill, 2006.
• Knut Sydsaeter y Peter J. Hammond. Mathematics for economic analysis. Prentice Hall, 1995.

The course syllabus may change due academic events or other reasons.