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Margarida Martins

This course, presented by the Statistics Department, teaches you how to compile timely and high-quality Quarterly National Accounts (QNA) and High-Frequency Indicators of Economic Activity (HFIEAs). The course presents the concepts, data sources, and compilation techniques needed for producing QNA and HFIEAs, covering both theoretical and practical compilation issues. It introduces participants to benchmarking, seasonal adjustment techniques, as well as volume estimates; and explains the application of these techniques to time series data. The course also discussed how to identify and assess available data sources, use real-time series databases to assess the quality, and implement a suitable revisions policy for compiling QNA and HFIEAs.

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This course, presented by the Statistics Department, teaches you how to compile timely and high-quality Quarterly National Accounts (QNA) and High-Frequency Indicators of Economic Activity (HFIEAs). The course presents the concepts, data sources, and compilation techniques needed for producing QNA and HFIEAs, covering both theoretical and practical compilation issues. It introduces participants to benchmarking, seasonal adjustment techniques, as well as volume estimates; and explains the application of these techniques to time series data. The course also discussed how to identify and assess available data sources, use real-time series databases to assess the quality, and implement a suitable revisions policy for compiling QNA and HFIEAs.

What you'll learn

Upon completion of the course, participants should be able to:

  • Recognize the role, scope, uses, and compilation frameworks for QNA and HFIEAs.
  • Review available data sources for compiling QNA and HFIEAs.
  • Explain the use of volume measures and the basic relation between value, quantity, and price—expanding on how to detect and address issues such as the need for updated weights; and recognizing the loss of additivity for chain-linked volume estimates.
  • Apply basic techniques for compiling benchmarked series and filling data gaps.
  • Apply basic seasonal adjustment techniques to time series, based on good seasonal adjustment practices.
  • Describe a balanced revisions policy taking into consideration how a related real-time database can be used to assess the reliability of the QNA and HFIEA estimates.

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What's inside

Learning objectives

  • Recognize the role, scope, uses, and compilation frameworks for qna and hfieas.
  • Review available data sources for compiling qna and hfieas.
  • Explain the use of volume measures and the basic relation between value, quantity, and price—expanding on how to detect and address issues such as the need for updated weights; and recognizing the loss of additivity for chain-linked volume estimates.
  • Apply basic techniques for compiling benchmarked series and filling data gaps.
  • Apply basic seasonal adjustment techniques to time series, based on good seasonal adjustment practices.
  • Describe a balanced revisions policy taking into consideration how a related real-time database can be used to assess the reliability of the qna and hfiea estimates.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Makes use of real-world data sources
Taught by instructors who have experience in the field
Presents important concepts such as how data is balanced and revised
Explores the role, uses, and compilation frameworks for QNA and HFIEAs
Requires learners to be familiar with relevant data sources
Advises learners to take other courses first as prerequisites

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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 Quarterly National Accounts and High-Frequency Indicators of Economic Activity with these activities:
Follow tutorials on seasonal adjustment techniques
Expand your knowledge of seasonal adjustment techniques by following online tutorials.
Browse courses on Seasonal Adjustment
Show steps
  • Find tutorials on seasonal adjustment techniques.
  • Follow the steps in the tutorials.
  • Apply the techniques to your own time series data.
Practice time series data analysis
Practice analyzing time series data to solidify your understanding of data compilation techniques.
Browse courses on Time Series Analysis
Show steps
  • Find a dataset with time series data.
  • Plot the data and identify any trends or patterns.
  • Apply different time series analysis techniques to the data.
  • Interpret the results of your analysis.
Create a presentation on QNA and HFIEA compilation
Improve your understanding of QNA and HFIEA compilation by creating a presentation that explains the concepts and techniques involved.
Show steps
  • Research QNA and HFIEA compilation techniques.
  • Create a presentation outline.
  • Develop visuals and examples to illustrate your points.
  • Practice delivering your presentation.
Show all three activities

Career center

Learners who complete Quarterly National Accounts and High-Frequency Indicators of Economic Activity will develop knowledge and skills that may be useful to these careers:
Economist
Economists study how economies work and how economic decisions are made by individuals, businesses, and governments. They analyze data to understand economic trends and forecast future economic conditions. This course can help economists develop the skills they need to compile and analyze economic data, including quarterly national accounts and high-frequency indicators of economic activity. This course can also help economists understand the role of economic data in informing economic policy decisions.
Market Research Analyst
Market research analysts study market trends and consumer behavior to help businesses make informed decisions about product development, marketing, and sales. This course can help market research analysts develop the skills they need to collect, analyze, and interpret economic data. This course can also help market research analysts understand how economic conditions can affect consumer behavior.
Financial Analyst
Financial analysts study financial data to make recommendations about investments. They use economic data to assess the performance of companies and industries. This course can help financial analysts develop the skills they need to collect, analyze, and interpret economic data. This course can also help financial analysts understand how economic conditions can affect the financial markets.
Business Analyst
Business analysts study business processes to identify opportunities for improvement. They use economic data to understand the market and competitive landscape. This course can help business analysts develop the skills they need to collect, analyze, and interpret economic data. This course can also help business analysts understand how economic conditions can affect businesses.
Data Analyst
Data analysts study data to identify trends and patterns. They use economic data to understand economic conditions and forecast future trends. This course can help data analysts develop the skills they need to collect, analyze, and interpret economic data. This course can also help data analysts understand how economic conditions can affect different sectors of the economy.
Statistician
Statisticians study the collection, analysis, interpretation, and presentation of data. They use economic data to understand economic trends and forecast future economic conditions. This course can help statisticians develop the skills they need to compile and analyze economic data. This course can also help statisticians understand the role of economic data in informing economic policy decisions.
Actuary
Actuaries study the financial implications of risk and uncertainty. They use economic data to assess the risks associated with different investments and insurance products. This course can help actuaries develop the skills they need to collect, analyze, and interpret economic data. This course can also help actuaries understand how economic conditions can affect the insurance industry.
Consultant
Consultants provide advice to businesses and organizations on a variety of topics, including economics. They use economic data to understand the market and competitive landscape. This course can help consultants develop the skills they need to collect, analyze, and interpret economic data. This course can also help consultants understand how economic conditions can affect businesses and organizations.
Policy Analyst
Policy analysts study the impact of government policies on the economy and society. They use economic data to evaluate the effectiveness of different policies. This course can help policy analysts develop the skills they need to collect, analyze, and interpret economic data. This course can also help policy analysts understand how economic conditions can affect different sectors of the economy.
Journalist
Journalists report on current events and issues. They use economic data to understand the economic impact of news events. This course can help journalists develop the skills they need to collect, analyze, and interpret economic data. This course can also help journalists understand how economic conditions can affect different sectors of the economy.
Teacher
Teachers educate students about a variety of subjects, including economics. They use economic data to help students understand economic concepts and how the economy works. This course can help teachers develop the skills they need to collect, analyze, and interpret economic data. This course can also help teachers understand how economic conditions can affect the education sector.
Librarian
Librarians help people find and access information. They use economic data to understand the information needs of their patrons. This course can help librarians develop the skills they need to collect, analyze, and interpret economic data. This course can also help librarians understand how economic conditions can affect the library sector.
Archivist
Archivists preserve and manage historical documents and artifacts. They use economic data to understand the economic history of a particular region or time period. This course can help archivists develop the skills they need to collect, analyze, and interpret economic data. This course can also help archivists understand how economic conditions can affect the archival sector.
Museum curator
Museum curators oversee the collections of museums. They use economic data to understand the economic value of museum collections. This course can help museum curators develop the skills they need to collect, analyze, and interpret economic data. This course can also help museum curators understand how economic conditions can affect the museum sector.
Nonprofit Manager
Nonprofit managers oversee the operations of nonprofit organizations. They use economic data to understand the economic impact of their organizations. This course can help nonprofit managers develop the skills they need to collect, analyze, and interpret economic data. This course can also help nonprofit managers understand how economic conditions can affect the nonprofit sector.

Reading list

We've selected 11 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 Quarterly National Accounts and High-Frequency Indicators of Economic Activity.
An exhaustive overview of the US National Income and Product Accounts, this reference provides a thorough grounding in their principles and definitions. Especially useful for additional reading on the US implementation of these accounts.
A key text of real-world practices and theoretical foundations for compiling quarterly national accounts. It is especially useful for practitioners compiling QNA.
The international standard for national accounting. While not strictly limited to QNA and HFIEA, it provides grounding for many of the concepts and methodologies discussed in the course.
A comprehensive textbook covering the full range of forecasting techniques, including a chapter on seasonal adjustment.
A concise guide to analyzing time series data with the R programming language. It covers a range of topics, including seasonal adjustment.
A textbook suitable for advanced undergraduate or graduate students. It provides a comprehensive survey current time series econometric methods, including a chapter on seasonal adjustment.
This textbooks aims to equip readers with theoretical and practical tools for analyzing economic data, including time series data. It includes topics such as regression analysis, time series analysis, and forecasting, assuming a background in multivariate calculus and linear algebra.
This popular textbook for advanced undergraduate and graduate students provides a clear and concise introduction to econometrics. It includes a chapter on time series analysis.
A graduate textbook that provides a comprehensive overview of econometric theory and methods. It includes a chapter on time series.
A classic book on economic time series forecasting. While much of the focus is on univariate time series analysis with univariate forecasting methods, it also covers topics such as vector autoregressions, cointegration and structural modeling.

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