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Reda Cherif, Sam Ouliaris, Adolfo Barajas, Adina Popescu, Jorge Restrepo, Dmitry Plotnikov, and Mikhail Pranovich

In this macroeconomics course, you will learn to predict macroeconomic variables such as inflation, growth or consumption, and to create statistical models in economics and use them to predict responses to economic policy.

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In this macroeconomics course, you will learn to predict macroeconomic variables such as inflation, growth or consumption, and to create statistical models in economics and use them to predict responses to economic policy.

You will learn from hands-on demonstrations of model-building, forecasting and policy analysis, using data sets from a wide variety of countries. Demonstrations and applications will be conducted using EViews —a popular software for estimating and simulating forecasting models on Windows. Free, temporary licenses for EViews will be made available for the duration of the course.

Macroeconometric Forecasting is offered by the IMF with financial support from the Government of Japan.

What you'll learn

  • Evaluation of macroeconometric models
  • Forecasting of uncertainty and forecasting for policy analysis
  • Properties of time series data and model design
  • Dynamic specification and the use of vector auto-regression models (VARs) and error correction models (VECMs)

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What's inside

Learning objectives

  • Evaluation of macroeconometric models
  • Forecasting of uncertainty and forecasting for policy analysis
  • Properties of time series data and model design
  • Dynamic specification and the use of vector auto-regression models (vars) and error correction models (vecms)

Syllabus

Module 1: EViews Basics (Optional) Review of the main EViews commands to manage data.
Module 2: Introduction to Forecasting with EViews Introduction to the EViews model simulator to estimate and forecast multiple equation models.
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Module 3: Statistical Properties of Times Series Data The concept of stationarity is defined as well as how to test for it. Box-Jenkins (ARMA) methodology to study time series is introduced.
Module 4: Forecast Uncertainty and Model Evaluation How best to choose between forecasts from competing models or sources. Participants will learn the main forecast evaluation statistics and how to calculate them in EViews.
Module 5: Vector Auto-Regressions (VARs) Understand VARs, how they used for forecasting and structural analysis, and how to estimate a well-specified VAR and generate forecasts.
Module 6: Cointegration and Vector Error Correction Models (VECMs) Define and understand the concept of cointegration among unit-root variables and its implications for forecasting. Learn how to test for cointegration using the Johansen method and how to estimate and forecast using a VECM.
Module 7: Evaluating Regressions Models What does it mean to have a “good model” (model evaluation and key model assumptions) and the consequences for forecasting. Introduction to model testing and dealing with error irregularities and structural breaks.
Module 8: Final Assignment: Bringing It All Together An overview of the techniques studied is provided using a case study focused on private saving-consumption behavior in the U.S. before and after the global financial crisis.

Good to know

Know what's good
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Examines macroeconometric forecasting models commonly utilized in industry
Taught by economists recognized for their work in macroeconometrics
Supported by the International Monetary Fund with financial support from the Government of Japan
Develops skills useful for work as an economist and for study in economics
Uses EViews, industry-standard software for macroeconometric modeling
Provides temporary, free licenses for EViews for course duration

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Reviews summary

Polarizing macroeconometric course

Learners are sharply divided on the quality of this course, with one review highly praising the professional macroeconometrics and economists from IMF instructors, but another review harshly criticizing the heavy focus on EViews instead of macroeconometrics.
Course instructors are economists from the IMF.
"Very good teachers (economists from IMF)!"
Course emphasizes EViews software over macroeconometrics.
"It is more a course about eviews than about macroeconometry."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Macroeconometric Forecasting with these activities:
Review Regression Analysis and Time Series Concepts
Refresh your knowledge on regression analysis and time series concepts, which are prerequisites for this course.
Browse courses on Regression Analysis
Show steps
  • Review your notes or textbooks on regression analysis
  • Practice solving regression problems
  • Review your notes or textbooks on time series analysis
  • Practice analyzing time series data
Organize and Review Course Materials
Enhance your understanding of the course content by organizing and reviewing the materials provided.
Browse courses on Review
Show steps
  • Gather all course materials.
  • Organize the materials into logical sections.
  • Review the materials regularly.
Review 'Macroeconomic Forecasting Principles and Applications'
Gain in-depth knowledge and practical insights on macroeconomic forecasting principles and applications.
Show steps
  • Read the book thoroughly, taking notes and highlighting important concepts
  • Summarize each chapter in your own words
  • Complete the exercises and review the solutions provided in the book
Ten other activities
Expand to see all activities and additional details
Show all 13 activities
Review the Key Concepts of Macroeconomic Forecasting
Build a firm foundation in the concepts of macroeconomic forecasting before the course starts.
Show steps
  • Watch the video lectures and read the corresponding textbooks on basic concepts of macroeconomics
  • Complete the self-assessment quiz to test your understanding
Compile Resources on Macroeconomic Forecasting
Organize and expand your knowledge base by compiling a collection of valuable resources on macroeconomic forecasting.
Show steps
  • Search for online articles, books, and other resources on macroeconomic forecasting
  • Create a list of the most relevant and informative resources
  • Organize the resources into categories or topics
Discuss Course Concepts with Peers
Enhance your understanding of the course concepts by discussing them with your peers.
Browse courses on Collaboration
Show steps
  • Find a study partner or group.
  • Schedule regular study sessions.
  • Discuss the course concepts.
  • Work together to solve problems.
Attend a Conference or Webinar on Macroeconomic Forecasting
Connect with experts and learn about the latest trends in macroeconomic forecasting.
Show steps
  • Research upcoming conferences or webinars on macroeconomic forecasting
  • Register for an event that aligns with your interests
  • Attend the event and actively participate in discussions
Practice Estimating Macroeconomic Variables
Reinforce your understanding of the methods for estimating macroeconomic variables used in the course.
Show steps
  • Find a dataset with macroeconomic variables.
  • Choose a variable to estimate.
  • Select an appropriate estimation method.
  • Estimate the model.
  • Validate the model.
Macroeconomic Model Building Project
Apply the econometrics and modeling techniques learned in the course to a real-world macroeconomic problem.
Show steps
  • Identify a macroeconomic problem or issue to analyze.
  • Gather and clean data relevant to the problem.
  • Build a macroeconomic model using EViews to represent the problem.
  • Estimate the model and analyze the results.
  • Use the model to make forecasts or policy recommendations.
Practice with Time Series Analysis and Forecasting Models
Sharpen your skills in applying time series analysis and building forecasting models, which are essential for macroeconomic forecasting.
Show steps
  • Work through the practice problems on time series analysis
  • Build a simple forecasting model using EViews
  • Evaluate the performance of the model and refine it if necessary
Develop a Forecasting Model for a Specific Economic Indicator
Apply the forecasting techniques learned in the course to a real-world economic problem.
Show steps
  • Identify an economic indicator to forecast.
  • Gather the necessary data.
  • Choose an appropriate forecasting method.
  • Develop the forecasting model.
  • Evaluate the model's performance.
Build a Forecasting Model for a Specific Economic Indicator
Apply your knowledge and skills to a practical project, enhancing your ability to develop and evaluate forecasting models.
Show steps
  • Identify a specific economic indicator to forecast
  • Gather and clean the necessary data
  • Build a forecasting model using EViews
  • Evaluate the performance of the model and make adjustments as needed
  • Use the model to make forecasts and analyze the results
Develop a Case Study on Macroeconomic Forecasting
Apply your knowledge to a real-world scenario, which will significantly enhance your understanding and practical skills in macroeconomic forecasting.
Show steps
  • Choose a specific macroeconomic phenomenon to forecast
  • Collect and analyze relevant data
  • Build a forecasting model using EViews
  • Interpret the results and discuss the implications
  • Present your findings in a written report

Career center

Learners who complete Macroeconometric Forecasting will develop knowledge and skills that may be useful to these careers:
Quantitative Analyst
Quantitative Analysts use their skills in mathematics, statistics, and computer programming to develop and implement financial models. This course provides a solid foundation in macroeconomic forecasting, which is essential for Quantitative Analysts. The course covers topics such as time series analysis, VARs, VECMs, and model evaluation. This knowledge will help Quantitative Analysts to develop accurate and reliable financial models.
Economist
Economists study economic data to understand economic trends and make predictions about the future of the economy. This course provides a comprehensive overview of macroeconomic forecasting, which is essential for Economists. The course covers topics such as time series analysis, VARs, VECMs, and model evaluation. This knowledge will help Economists to develop accurate economic forecasts, which are used to inform government policy and business decisions.
Risk Manager
Risk Managers identify, assess, and mitigate risks to an organization's financial health. This course provides a comprehensive overview of macroeconomic forecasting, which is essential for Risk Managers. The course covers topics such as time series analysis, VARs, VECMs, and model evaluation. This knowledge will help Risk Managers to forecast economic trends and make informed decisions about how to mitigate risks.
Consultant
Consultants provide advice and expertise to organizations on a wide range of topics, including economics, finance, and strategy. This course provides a comprehensive overview of macroeconomic forecasting, which is essential for Consultants. The course covers topics such as time series analysis, VARs, VECMs, and model evaluation. This knowledge will help Consultants to provide accurate and reliable advice to their clients.
Financial Analyst
Financial Analysts use their expertise to provide financial information and advice to individuals, companies, and institutions. This course helps build a foundation in macroeconomic models, which can be used to analyze economic data and make predictions about economic trends. This information is essential for making sound investment decisions. Additionally, the course covers topics such as forecasting uncertainty and model evaluation, which are critical skills for Financial Analysts.
Actuary
Actuaries use their skills in mathematics, statistics, and finance to assess and manage risks. This course provides a solid foundation in macroeconomic forecasting, which is essential for Actuaries. The course covers topics such as time series analysis, VARs, VECMs, and model evaluation. This knowledge will help Actuaries to develop accurate and reliable risk models.
Investment Banker
Investment Bankers help companies raise capital and provide financial advice. This course provides a comprehensive overview of macroeconomic forecasting, which is essential for Investment Bankers. The course covers topics such as time series analysis, VARs, VECMs, and model evaluation. This knowledge will help Investment Bankers to make informed decisions about how to raise capital and provide financial advice to their clients.
Data Scientist
Data Scientists use their skills in statistics, machine learning, and computer programming to extract insights from data. This course provides a solid foundation in time series analysis and forecasting, which are essential skills for Data Scientists. The course also covers topics such as model building and evaluation, which are critical for developing accurate and reliable forecasting models.
Financial Planner
Financial Planners help individuals and families plan for their financial future. This course provides a solid foundation in macroeconomic forecasting, which is essential for Financial Planners. The course covers topics such as time series analysis, VARs, VECMs, and model evaluation. This knowledge will help Financial Planners to make informed decisions about how to invest their clients' money.
Market Researcher
Market Researchers collect and analyze data to understand consumer behavior and market trends. This course provides a solid foundation in macroeconomic forecasting, which is essential for Market Researchers. The course covers topics such as time series analysis, VARs, VECMs, and model evaluation. This knowledge will help Market Researchers to forecast consumer behavior and market trends.
Personal Financial Advisor
Personal Financial Advisors provide financial advice to individuals and families. This course may be useful for Personal Financial Advisors who want to develop a deeper understanding of macroeconomic trends and their impact on personal finances. The course covers topics such as time series analysis, VARs, VECMs, and model evaluation. This knowledge may be useful for Personal Financial Advisors who want to provide more informed advice to their clients.
Loan Officer
Loan Officers help borrowers obtain loans. This course may be useful for Loan Officers who want to develop a deeper understanding of macroeconomic trends and their impact on loan demand. The course covers topics such as time series analysis, VARs, VECMs, and model evaluation. This knowledge may be useful for Loan Officers who want to make more informed decisions about how to approve loans.
Credit Analyst
Credit Analysts assess the creditworthiness of borrowers. This course may be useful for Credit Analysts who want to develop a deeper understanding of macroeconomic trends and their impact on creditworthiness. The course covers topics such as time series analysis, VARs, VECMs, and model evaluation. This knowledge may be useful for Credit Analysts who want to make more informed decisions about how to assess creditworthiness.
Budget Analyst
Budget Analysts prepare and manage budgets for businesses and organizations. This course may be useful for Budget Analysts who want to develop a deeper understanding of macroeconomic trends and their impact on budgets. The course covers topics such as time series analysis, VARs, VECMs, and model evaluation. This knowledge may be useful for Budget Analysts who want to make more informed decisions about how to allocate resources.
Accountant
Accountants prepare and maintain financial records for businesses and organizations. This course may be useful for Accountants who want to develop a deeper understanding of macroeconomic trends and their impact on businesses. The course covers topics such as time series analysis, VARs, VECMs, and model evaluation. This knowledge may be useful for Accountants who want to provide more informed advice to their clients.

Reading list

We've selected ten books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Macroeconometric Forecasting.
Provides a comprehensive introduction to econometric analysis of time series data. It covers a wide range of topics, including stationarity, unit roots, cointegration, VARs, and VECMs.
Provides a comprehensive introduction to time series analysis using state space methods. It covers a wide range of topics, including Kalman filtering, smoothing, and forecasting.
More advanced coverage of the topics covered in the IMF's Macroeconometric Forecasting course, which could serve as additional reading.
This is another standard econometrics textbook, which covers a wide range of econometrics topics and provides students with solid background in econometrics.
Aims to build the modeling and statistical skills needed to conduct empirical research in economics, which complements IMF's Macroeconometric Forecasting by providing a broader coverage of statistical methods and modeling.
Standard textbook on econometrics, covers a range of econometrics topics, and is also written at a level making it useful as either prerequisite knowledge or additional reading.
Focuses on time series analysis by state space methods, and while not an exact fit for IMF's Macroeconometric Forecasting course, it could serve as additional reading for those interested in state space methods.
Uses a conversational style to provide the necessary statistical and economic background of econometrics, and has been used as supplementary reading in a number of economics courses.
Provides an applied introduction to econometrics in R, which would serve as either prerequisite knowledge or additional reading for this course.

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