Applied Macroeconomics and Statistics
Study Course Implementer
Dzirciema street 16, Rīga, szf@rsu.lv
About Study Course
Objective
Preliminary Knowledge
Learning Outcomes
Knowledge
1.On completion of the course students: • can demonstrate knowledge of information – its role, types, acquisition possibilities, grouping, data processing methods; • understand the macroeconomic concept of the functioning of a market economy and its practical implications in line with recent developments; • know macroeconomic theories and their role in public policy and business; • understand the cyclical development of the economy and methods of regulation according to modern theories; • understand the role of international economic relations in the global economic system.
Skills
1.Students will be able to calculate, interpret and use macroeconomic indicators to assess the economic situation. Students will be able to carry out analysis of the macroeconomic equilibrium and its influencing factors, classify types and causes of unemployment and inflation, to reasonably discuss the use of fiscal and monetary policy instruments depending on the business cycle changes, to determine economic growth factors in the context of sustainable development. Students will be able to apply theoretical knowledge of macroeconomics for analysis of economic processes and business environment and for solution of topical problems, as well as for scientific research and professional work. Students will be able to reasonably discuss current issues of macroeconomics and their practical significance based on macroeconomic information analysis. To answer logically and reasonably the questions on the topics covered, to analyse the theoretical questions discussed in the lectures; will be able to understand and systematically summarise the main theoretical questions and regularities of statistics.
Competences
1.Students will be able to classify information data sets, perform economic interpretation of matrices, explain functional research algorithm, define financial mathematics concepts. Students will be able to analyse and interpret macroeconomic indicators, explain macroeconomic equilibrium research algorithm, characterise fiscal and monetary policy instruments and determine their application depending on the economic situation in the country, choose inflation and unemployment reduction tools, determine economic growth and living standard factors and indicators, to describe the competitive advantages of countries and their role in the global economy, to analyse exchange rate factors and international financial system concepts. Students will be able to analyse public policy and business environment using macroeconomic categories.
Assessment
Individual work
|
Title
|
% from total grade
|
Grade
|
|---|---|---|
|
1.
Individual work |
-
|
-
|
|
Literature analysis, summaries, homework, case studies, group work and presentation, individual report according to instructions and assignments given by the course leaders.
|
||
Examination
|
Title
|
% from total grade
|
Grade
|
|---|---|---|
|
1.
Examination |
-
|
-
|
|
50% of the final grade consists of the assessments of independent work, interim tests and examination on topics related to statistics:
Attendance of lectures and seminars: 5%
Activity and quality of answers in seminars: 15%
Summaries of the topics covered during lectures and seminars: 25%
Independent interim test: 25%
Exam Part 1: 30%
50% of the final grade consists of the assessments of independent work, interim tests and examination on topics related to macroeconomics:
Lecture and seminar attendance: 5%
Participation in seminars (activity and quality of answers, completion of tests, group work): 20%
Assessment of summaries and homework: 15%
Individual report: 20%
Exam Part 2: 40%
|
||
Study Course Theme Plan
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Macroeconomic Issues. Measuring macroeconomic performance.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
The different approaches to measuring GDP. Macroeconomic indicators.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Demand and supply.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Aggregate demand. Investment multiplier and its practical role.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
The role of the state in the market economy. Fiscal policy and its practical role.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
State budget. Government expenditure multiplier. Government debt.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Money. Banking system and monetary policy.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Money market. Money supply components. Money multiplier. The role of the banking sector in economic development and entrepreneurship.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Aggregate supply. Macroeconomic equilibrium. IS-LM model.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Impact of monetary policy on economic development and entrepreneurship. Practical implementation of IS LM model.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Macroeconomic instability. Inflation and unemployment. Business cycle. Economic growth.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Practical aspects of inflation and unemployment. Factors of economic growth.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
International economic relations. International trade. International monetary system.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
International economic relations. International trade. International monetary system.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
International economic relations. International trade. International monetary system.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
International economic relations. International trade. International monetary system.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
International economic relations. International trade. International monetary system.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Contemporary aspects of international trade. Development of international monetary relations. European Monetary Union.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Contemporary aspects of international trade. Development of international monetary relations. European Monetary Union.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Contemporary aspects of international trade. Development of international monetary relations. European Monetary Union.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Contemporary aspects of international trade. Development of international monetary relations. European Monetary Union.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Contemporary aspects of international trade. Development of international monetary relations. European Monetary Union.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Types of Data and Data Collection. Population and sample data. General ideas and types of sampling, optimal sample size determination.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Types of Data and Data Collection. Population and sample data. General ideas and types of sampling, optimal sample size determination.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Aim of the survey. Designing questionnaires: best practice, tips and common mistakes. Types of questions. Defining groups and intervals. Organizing qualitative and quantitative Data. Summary representation of data.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Aim of the survey. Designing questionnaires: best practice, tips and common mistakes. Types of questions. Defining groups and intervals. Organizing qualitative and quantitative Data. Summary representation of data.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Aim of the survey. Designing questionnaires: best practice, tips and common mistakes. Types of questions. Defining groups and intervals. Organizing qualitative and quantitative Data. Summary representation of data.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Aim of the survey. Designing questionnaires: best practice, tips and common mistakes. Types of questions. Defining groups and intervals. Organizing qualitative and quantitative Data. Summary representation of data.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Distributions of random variables. Exploring data: basic concepts of descriptive statistics, measures of central tendency (mean, median, mode and modal class) and measures of dispersion (range, interquartile range, variance and standard deviation), quartiles and percentiles.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Distributions of random variables. Exploring data: basic concepts of descriptive statistics, measures of central tendency (mean, median, mode and modal class) and measures of dispersion (range, interquartile range, variance and standard deviation), quartiles and percentiles.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Distributions of random variables. Exploring data: basic concepts of descriptive statistics, measures of central tendency (mean, median, mode and modal class) and measures of dispersion (range, interquartile range, variance and standard deviation), quartiles and percentiles.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Distributions of random variables. Exploring data: basic concepts of descriptive statistics, measures of central tendency (mean, median, mode and modal class) and measures of dispersion (range, interquartile range, variance and standard deviation), quartiles and percentiles.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Bivariate analyses. Correlation and covariance. Lines of best fit. Least-squares regression. The coefficient of determination.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Bivariate analyses. Correlation and covariance. Lines of best fit. Least-squares regression. The coefficient of determination.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Bivariate analyses. Correlation and covariance. Lines of best fit. Least-squares regression. The coefficient of determination.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Bivariate analyses. Correlation and covariance. Lines of best fit. Least-squares regression. The coefficient of determination.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Time series analysis. Moving average and exponential smoothing techniques. Seasonality. Use of a trend line and seasonal component in
prediction.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Time series analysis. Moving average and exponential smoothing techniques. Seasonality. Use of a trend line and seasonal component in
prediction.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Elementary concepts of probability theory. Treatment of mutually exclusive and independent events. Probability distributions for discrete and continuous random variables. Expectation (including expected profit and loss in simple games).
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Elementary concepts of probability theory. Treatment of mutually exclusive and independent events. Probability distributions for discrete and continuous random variables. Expectation (including expected profit and loss in simple games).
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Elementary concepts of probability theory. Treatment of mutually exclusive and independent events. Probability distributions for discrete and continuous random variables. Expectation (including expected profit and loss in simple games).
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Elementary concepts of probability theory. Treatment of mutually exclusive and independent events. Probability distributions for discrete and continuous random variables. Expectation (including expected profit and loss in simple games).
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Macroeconomic Issues. Measuring macroeconomic performance.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
The different approaches to measuring GDP. Macroeconomic indicators.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Aggregate demand. Investment multiplier and its practical role.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
The role of the state in the market economy. Fiscal policy and its practical role.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
State budget. Government expenditure multiplier. Government debt.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Money. Banking system and monetary policy.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Impact of monetary policy on economic development and entrepreneurship. Practical implementation of IS LM model.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
International economic relations. International trade. International monetary system.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Types of Data and Data Collection. Population and sample data. General ideas and types of sampling, optimal sample size determination.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Types of Data and Data Collection. Population and sample data. General ideas and types of sampling, optimal sample size determination.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Aim of the survey. Designing questionnaires: best practice, tips and common mistakes. Types of questions. Defining groups and intervals. Organizing qualitative and quantitative Data. Summary representation of data.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Aim of the survey. Designing questionnaires: best practice, tips and common mistakes. Types of questions. Defining groups and intervals. Organizing qualitative and quantitative Data. Summary representation of data.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Bivariate analyses. Correlation and covariance. Lines of best fit. Least-squares regression. The coefficient of determination.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Time series analysis. Moving average and exponential smoothing techniques. Seasonality. Use of a trend line and seasonal component in
prediction.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Elementary concepts of probability theory. Treatment of mutually exclusive and independent events. Probability distributions for discrete and continuous random variables. Expectation (including expected profit and loss in simple games).
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Elementary concepts of probability theory. Treatment of mutually exclusive and independent events. Probability distributions for discrete and continuous random variables. Expectation (including expected profit and loss in simple games).
|
Bibliography
Required Reading
Krugman, P. and Wells, R. Macroeconomics. 5th ed., NY: Macmillan Education, 2018.
Begg, D., Vemasca, G., Fisher, S. and Dornbush, R. Economics. Mc Graw-Hill book company, 11th ed., 2013.
Mankiw, N. G. Macroeconomics. Worth Publishers, 7th ed., 2015.
Statistika:
Koliškins, A., Volodko, I. un Antimirovs, M. Matemātika I tehnisko augstskolu studentiem. R: RTU, 2004-2005.
Koliškins, A., Volodko, I. un Antimirovs, M. Matemātika II tehnisko augstskolu studentiem. R: RTU, 2005.
Kronbergs, E., Rivža, P. un Bože, Dz. Augstākā matemātika, 1. daļa. R: Zvaigzne, 1988.
Kronbergs, E., Rivža, P. un Bože, Dz. Augstākā matemātika, 2. daļa. R: Zvaigzne, 1988.
Revina, I., Peļņa, M. un Bāliņa, S. Uzdevumu krājums matemātikā ekonomistiem. R: Zvaigzne ABC, 2002.
Additional Reading
Eteris, E. Latvia in Europe and the World. Growth Strategy for a New Centennial. 2018.
Statistika:
Arhipova, I. un Bāliņa, S. Statistika ar Excel ikvienam. 2.sēj. 1999, Rīga, Datorzinību centrs.
Krastiņš, O. Statistika un ekonometrija. Rīga, LR CSP, 1998.
Revina, I. Ekonometrija. Rīga, EuroFaculty, 2002.
Vasermanis, E. un Šķiltere, D. Varbūtību teorija un matemātiskā statistika. Rīga, LU, 2003.
Нименья, И.Н. Статистика, Санкт-Петербург, Издательский дом «Нева». 2004.