Macroeconometric Forecasting Essentials
Master statistical modeling and forecasting techniques to predict key macroeconomic variables using EViews software.
Master statistical modeling and forecasting techniques to predict key macroeconomic variables using EViews software.
This comprehensive course teaches advanced techniques for predicting macroeconomic variables through statistical modeling and analysis. Using EViews software, students learn to build and evaluate forecasting models for variables like inflation, growth, and consumption. The curriculum combines theoretical foundations with hands-on applications using real-world data from various countries. Participants gain practical experience in model building, policy analysis, and forecasting techniques, with access to temporary EViews licenses for hands-on practice. The course emphasizes both technical proficiency and practical application in economic policy analysis.
4.6
(48 ratings)
94,061 already enrolled
Instructors:
English
English
Powered by
What you'll learn
Master the fundamentals of macroeconometric modeling and forecasting
Develop proficiency in using EViews software for economic analysis
Understand time series data properties and stationarity concepts
Evaluate forecast uncertainty and compare competing models
Implement vector auto-regression models for structural analysis
Apply cointegration and error correction modeling techniques
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
Closed caption
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
Created by
Provided by
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 8 modules in this course
The course covers essential aspects of macroeconometric forecasting, from basic EViews software operations to advanced modeling techniques. Students learn about time series data properties, forecast uncertainty evaluation, vector auto-regressions (VARs), and cointegration concepts. The curriculum includes hands-on demonstrations using real economic data, focusing on practical applications of theoretical concepts. Special attention is given to model evaluation, error analysis, and structural breaks, culminating in a comprehensive case study of US private saving-consumption behavior.
EViews Basics
Module 1
Introduction to Forecasting with EViews
Module 2
Statistical Properties of Times Series Data
Module 3
Forecast Uncertainty and Model Evaluation
Module 4
Vector Auto-Regressions (VARs)
Module 5
Cointegration and Vector Error Correction Models
Module 6
Evaluating Regressions Models
Module 7
Final Assignment: Bringing It All Together
Module 8
Fee Structure
Instructors
4 Courses
IMF Senior Economist and Financial Education Expert
Adolfo Barajas currently holds the position of Senior Economist in the Institute for Capacity Development at the International Monetary Fund, where he specializes in teaching financial sector issues and macroeconomics. His distinguished career spans multiple roles within the IMF, including significant contributions to both the Western Hemisphere and Middle East and Central Asia departments. Prior to his IMF tenure, he gained valuable experience as a researcher at Colombia's central bank and at Fedesarrollo, a prestigious private think tank. His academic foundation combines a B.A. in economics from Universidad de los Andes with a Ph.D. from Stanford University. Throughout his career, Barajas has demonstrated expertise in various economic areas, including financial sector development, monetary policy, exchange rate regimes, dollarization, and financial inclusion, making him a respected voice in international economic policy and education.
1 Course
Distinguished IMF Economist and Econometrics Expert
Sam Ouliaris has established himself as a prominent figure in international economics, serving as the former Chief of the Internal Training Unit at the IMF's Institute for Capacity Development, where he was responsible for training IMF economist staff. His extensive career includes significant roles in the IMF's Research Department and Western Hemisphere Department, complemented by his academic position as a Professor of Economics at the National University of Singapore prior to 2011. With a Ph.D. in Economics from Yale University specializing in econometrics and macroeconomics, Ouliaris has made substantial contributions to economic literature, particularly in quantitative macroeconomic modeling and structural vector autoregressions. His expertise has been sought by various Asian ministries, including consultancy work for the Monetary Authority of Singapore and Bank Negara Malaysia. As an Australian national, he has authored significant publications on econometric methodology and macroeconomic forecasting, including a notable book on Quantitative Macroeconomic Modeling with Structural Vector Autoregressions. His teaching portfolio at the IMF has included comprehensive courses on macroeconomic forecasting, financial programming, and policy analysis, making him a key figure in building capacity among international economists and policymakers
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
4.6 course rating
48 ratings
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.