Master
2024/2025
Empirical Market Analysis
Type:
Compulsory course (Data Analytics for Business and Economics)
Area of studies:
Economics
Delivered by:
Department of Economics
When:
2 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Master’s programme:
Data Analytics for Business and Economics
Language:
English
ECTS credits:
3
Course Syllabus
Abstract
The discipline "Empirics of Industrial Markets" aims to deepen students' knowledge of the analysis of industrial markets in the direction of empirical analysis of applied economic issues. The main topic is the empirical estimation of demand functions.Correct estimation of demand systems is important for improving decision making both at the level of an individual firm (what prices for goods to set?) and at the level of a market regulator (to allow a merger of firms or not?).In the course, we will consider both the classical approach based on the theory of a representative consumer, and the more modern approach based on discrete choice models that has gained popularity over the past 30 years. In this modern and rather realistic approach, it is assumed that consumers are heterogeneous (heterogeneous), the number of consumers is very large, but each individual consumer makes a choice only from a finite number of alternatives (chooses which product to buy).In addition, we will consider the methodology and tools for assessing production functions, as well as assessing the type of competition in the market.
Learning Objectives
- - introduce students to modern methodology and tools for estimating demand functions - introduce students to modern methodology and tools for assessing production functions - introduce students to the modern methodology for assessing the type of competition in the market - give an introduction to the field of structural econometrics - improve the general econometric culture of students
Expected Learning Outcomes
- - obtaining theoretical knowledge in the field of classical and modern approaches to estimating systems of demand functions
- - mastering a modern approach to estimating systems of demand functions in practice
- - obtaining theoretical knowledge in the field of evaluation of production functions
- - mastering practical skills in the field of assessing production functions
- - mastering practical skills in the field of assessing the type of competition in the market
- - increasing the overall econometric culture
- - obtaining theoretical knowledge in the field assessing the type of competition in the market
Course Contents
- Part 1. Introduction
- Part 2: Demand Function Estimation: Representative Consumer (Approach 1)
- Part 3. Demand Function Estimation: Discrete Choice (Approach 2)
- Part 4. Evaluation of the production function
- Part 5. Static models of competition in terms of prices and volumes, assessment of the type of competition
Bibliography
Recommended Core Bibliography
- Berry, S., Levinsohn, J., & Pakes, A. (1995). Automobile Prices in Market Equilibrium. Econometrica, (4), 841. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsrep&AN=edsrep.a.ecm.emetrp.v63y1995i4p841.90
- Olley, G. S., & Pakes, A. (1996). The Dynamics of Productivity in the Telecommunications Equipment Industry. Econometrica, (6), 1263. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsrep&AN=edsrep.a.ecm.emetrp.v64y1996i6p1263.97
- Steven T. Berry. (1994). Estimating Discrete-Choice Models of Product Differentiation. RAND Journal of Economics, (2), 242. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsrep&AN=edsrep.a.rje.randje.v25y1994isummerp242.262
Recommended Additional Bibliography
- Porter, R., & Armstrong, M. (2007). Handbook of Industrial Organization. Amsterdam: North Holland. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=207251