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# Economic and Social Statistics

2019/2020
Учебный год
ENG
Обучение ведется на английском языке
3
Кредиты

#### Автор программы

Баек Кунь Мин
Статус:
Курс обязательный
Когда читается:
3-й курс, 1 модуль

### Course Syllabus

#### Abstract

This course will introduce students to statistical data commonly used in social science. First, a short introduction into principles of collecting and using data from various data sources will be made. Further, data sources on six topics which include: labor market, household welfare, poverty and inequality, health, education and economic development will be studied. Lectures would include overview of appropriate data sources, indicators and statistical measures common to the field and their possible implementation. Seminars would involve discussion of data available in various databases, methodological issues and calculations in Stata using micro-level data sources. Students will be given sample dataset to calculate and analyze indicators discussed at the lectures. At the end of each seminar a short test will be held (overall, 7 tests). A final project would involve a report on selected country&topic statistics. A final exam would include test questions on studied topics and a task that involves STATA calculations.

#### Learning Objectives

• Understand basic principles of collecting and using data from various statistical sources
• Familiarize with main statistical indicators used in different fields of social science
• Introduce basic programming tools in STATA programming package

#### Expected Learning Outcomes

• know commonly used data sources, their advantages and limitations
• be able to run descriptive analysis using Stata statistical package
• know definitions and calculation methods of various statistical indicators in the covered fields of social science
• be able to apply statistical indicators for analysis of socio-economic situation of regions and countries and comparative analysis

#### Course Contents

• Introduction to economic and social statistics
Definition of statistics. Goals of statistics. Consumers of statistical information. Role of statistics in social science research. Flows of statistical information (levels of statistics: international, national, regional, micro-level). Key statistical terms. Planning a statistical investigation. Statistical data collection methods: core advantages and disadvantages. Data quality criteria. International statistical standards. Statistics of international organizations. Russian statistical system. Seminar: Introduction to Stata, introduction to statistical data bases
• Household welfare
Household welfare in country’s national accounts. Measures of household material wellbeing: household assets, asset index, income, consumption expenditure. Comparison of the measures. Subjective measures of household material wellbeing. Household welfare in Russian statistics. Seminar: Calculation of household wealth indicators using Household Budget Survey (Rosstat)
• Poverty and inequality
Absolute, relative and subjective poverty lines. Poverty measures: Foster- Greer-Thorbecke indices, Watts index. Poverty statistics in Russia. Inequality measures: Gini index, decile dispersion ratio, generalized entropy. Inequality tendencies in Russia. Seminar: Poverty and inequality calculation using Household Budget Survey (Rosstat)
• Economic development&growth
Gross Domestic Product: concept, methods, problems of application. GDP structure. Monetary alternatives to GDP. Multi-dimensional measures of development. Multi-dimensional measures vs GDP. Seminar: Better Life Index. Correspondence with GDP per capita.
• Education
Individual and aggregate measures of education (Level of education, Content of education, Learning outcomes and quality of education). International Standard Classification of Education. Assessments of learning outcomes. Life-long learning and on-the-job training. Educational system indicators (Enrollment and completion, Funding, Teachers & learning environment) Seminar: Application of International Standard Classification of Education to Russian educational system. Global Studies of Student Achievement.
• Health
Goals and importance of health observation. Health-related Sustainable Development Goals (SDGs) and statistical indicators. International classifications in health statistics. Public level indicators of health: Health status indicators, Risk factors indicators, Service coverage indicators, Health systems indicators. Individual level indicators of health. Sources of health statistics in international and in Russian practice. Seminar: Correspondence between objective and subjective health characteristics in The Russia Longitudinal Monitoring Survey - Higher School of Economics
• Labour market
International standards of labour statistics (ILO, SNA). ILO statistical concept of work and definitions of key labour market indicators. International classifications in labour market statistics (ISCO, ICSE, ISIC) and their analogues in Russia. Sources of labour market statistics in international and in Russian practice. Indicators of employment, working time and earnings used in Russia: key methodological issues (differences between indicators) and tendencies. Labour productivity as an indicator of economy efficiency. Seminar: Calculation of employment rate, unemployment rate and participation rate using Russian Labour Force Survey

#### Assessment Elements

• Weekly tests
Weekly tests consist of around 8-10 multiple-choice and open questions on lecture content and few questions on results of STATA calculations performed at the seminar. Tests can be completed only during the seminar. Tests are closed-book
• Final test
Examination lasts 120 min and consists of around 30-40 multiple-choice and open questions on lectures and seminars content (80% of points) and STATA calculations (20% of points). Exam is closed-book, no materials are allowed at the exam. An exception is a list of main STATA commands distributed by the professor.
• Course project
Project is prepared in a group up to 3 students, the topic is the choice of group and need not (but may be) approved by the instructor. Project outcome is a text and a presentation. By the end of the second week of the course group should appoint the date of presentation according to chosen broad topic. Deadline for the text is 3 days before scheduled presentation day (e.g. if presentation is 05.10, the deadline is 23:59 02.10). Grades are published after all presentations have been delivered. Language: Rus/Eng
• Seminar activity

#### Interim Assessment

• Interim assessment (1 module)
0.25 * Course project + 0.5 * Final test + 0.1 * Seminar activity + 0.15 * Weekly tests

#### Recommended Core Bibliography

• Под ред. Башкатова Б.И., Суринова А. Е.-МЕЖДУНАРОДНАЯ СТАТИСТИКА 3-е изд., пер. и доп. Учебник для бакалавриата и магистратуры-М.:Издательство Юрайт,2019-593-Бакалавр и магистр. Академический курс-978-5-534-10635-0: -Текст электронный // ЭБС Юрайт - https://biblio-online.ru/book/mezhdunarodnaya-statistika-442574