Bachelor 2024/2025

Empirical Industrial Organization

Type: Elective course (HSE/NES Programme in Economics)

Area of studies: Economics

Delivered by: Department of Applied Economics

Where: Faculty of Economic Sciences

When: 3 year, 3 module

Mode of studies: offline

Open to: students of one campus

Instructors: Ekaterina Kazakova

Language: English

ECTS credits: 3

Course Syllabus

Abstract

Thiscourseisdesignedtointroducestudentstothebasictoolsfortheempiricalanalysisofindustriesandmarkets.Broadlyspeaking,empirical industrialorganization(EIO)combinesempiricalmethods,data,andmodels toanalyzeimperfectcompetitionandtheorganizationofmarkets.ModernmethodsoftheEIOarewidelyappliedindemandforecasting,mergerreview,antitrustlitigation,marketing,andotherrelatedfields.Moreover, the increasingavailabilityoffirm-andconsumer-leveldata(“bigdata”)opensnewempiricalquestions, that cannotbeansweredwithoutunderstandingthebasicsoftheEIOanalysis. Inthiscourse,wewillcovertraditionalempirical IOmodelsrelatedto •Demandestimationforhomogeneousproducts; •Discretedemandestimation; •Productionfunctionestimationandfirmproductivity; • Identificationofconduct; •Staticentry/exitmodels. Thecourse isassociatedtoexercisesessionsdevotedtopractical applications.Wewill replicatesomeof the empiricalworkhorsemodelsusingsoftwarelikeR(and, ifavailable,MATLAB).