Department of Applied Economics

We use cookies in order to improve the quality and usability of the HSE website. More information about the use of cookies is available here, and the regulations on processing personal data can be found here. By continuing to use the site, you hereby confirm that you have been informed of the use of cookies by the HSE website and agree with our rules for processing personal data. You may disable cookies in your browser settings.

✖

Regular version of the site

Events

Apr 25 – Apr 26

7th Conference "Applied Econometrics"

All events

Publications

Book

Academic Star Wars: Excellence Initiatives in Global Perspective
In press

Yudkevich Maria, Altbach P. G., Salmi J.

Cambridge: MIT Press, 2023.

Article

The accessibility of higher education for urban and rural students in post-socialist Russia
In press

Prakhov I., Gadzaonov A.

Higher Education. 2025. P. 1-25.

Book chapter

Science or industry: Improving the quality of the Russian higher education system

Panova A., Slepyh V.

In bk.: Vocation, Technology & Education. Vol. 1. Iss. 4. Shenzhen Polytechnic University, 2024.

Working paper

Living Standards in the USSR during the Interwar Period

Voskoboynikov I.

Economics/EC. WP BRP. Высшая школа экономики, 2023. No. 264.

All publications

109028, Moscow
Pokrovsky blvd. 11,
Room S-527
Phone: (495) 772-95-99 ext.27502, 27503, 27498

Administration

Department Head – Svetlana B. Avdasheva

Deputy Department Head – Liudmila S. Zasimova

Manager – Maxim Shevelev

Faculty of Economic Sciences

Department of Applied Economics

Delivered by:: Department of Applied Economics

Type:: Elective course

When:: 1 year, 4 module

Instructor

Sheluntcova, Maria

Full Syllabus Ask Question

Abstract

● This course is devoted to binary choice models that are central in applied econometrics. We deal with the situation when the potential outcomes are discrete, i.e. the presence or absence of some quality of the object in question. It might also be the decision of an individual to perform or not to perform any action. The scope of application of these models is very wide. Classical examples are the problems of forecasting companies' defaults, employment equations, modeling the level of education, and many other problems of identifying the determinants of a certain choice and predicting its probability. In addition, we consider models with truncated dependent variable. The course includes Tobin and Heckman models that enables us to deal with truncated samples and selection bias. The course is applied in nature. Analysis of course’s topics is based on numerical examples. At the seminars, students use statistical software, i.e. STATA.

Learning Objectives

The main goal of the course is to explore methods of analyzing microeconomic data. This includes estimating binary choice models and truncated regression models on the basis of statistical software package. Students will know the areas of application of the studied models, as well as the methods of checking the adequacy of these models with real data. Prerequisites are probability theory, statistics and econometrics.

Expected Learning Outcomes

Students should be able to estimate and interpret probit and logit models as well as marginal effects.
Students should be able to estimate multinominal logit and probit models
Students should be able to estimate Tobit and Selection models
Students should be able to use weighted least squares method to estimate probability under various assumptions about the distribution of random errors.
Students should know when to apply Minimum Chi-square method and how to interpret the results.

Course Contents

Binary choice models
Ordered choice models
System of binary choice equations with correlated errors
Truncated and censored regression models
Multiple choice models

Assessment Elements

Individual home task
Final written exam for 80 minutes
Exam will be carried out in LMS. Students must have personal computer with internet access to download individual tasks. Exam will be in an open book format.
Individual home task
Final written exam for 80 minutes
Exam will be carried out in LMS. Students must have personal computer with internet access to download individual tasks. Exam will be in an open book format.

Interim Assessment

2021/2022 4th module
0.3 * Final written exam for 80 minutes + 0.7 * Individual home task

Bibliography

Recommended Core Bibliography

Cameron, A. C., & Trivedi, P. K. (2005). Microeconometrics : Methods and Applications. New York, NY: Cambridge University Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=138992

Recommended Additional Bibliography

A. Colin Cameron, & Pravin K. Trivedi. (2010). Microeconometrics Using Stata, Revised Edition. StataCorp LP. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsrep&AN=edsrep.b.tsj.spbook.musr

Authors

SHELUNTSOVA MARINA ALEKSANDROVNA

Models With Qualitative Dependent Variables