National Accounts Statistics (NAS)

Course Details

Start: April 29, 2019

End: May 3, 2019

Course Number: SA19.28

Course Name: National Accounts Statistics (NAS)

Language: English

Location: New Delhi, India 

Application Process: By Nomination





Target Audience

The workshop is intended for government officials who are integrally involved in the compilation of national accounts statistics, or, would benefit from the knowledge of the concepts, principles, sources, and methods used to compile National Accounts Statistics. This training is for Indian officials only.


Participants are expected to possess a degree in accounting, the social sciences, or a related field and/or have relevant work experience, and have proficiency in Microsoft EXCEL and WORD.

Course Description

This one-week course will be presented by experts from the International Monetary Fund’s Statistics Department. The course will be based on the System of National Accounts 2008 (2008 SNA) and the Quarterly National Accounts Manual, 2017. The course will cover the following topics: national accounts concepts, methods, and framework; estimating Gross Domestic Product using the expenditure, production and income approach; interpretation of National Accounts Statistics; supply and use tables; data sources and indicators; price and volume measures; estimation processing systems; revision policies; and business process documentation. The course will feature interactive lectures and hands-on exercises that enable participants to operationalize what they learn.

The main lectures and workshops include:

(i) Production accounts: measurement of output; intermediate consumption, and value added (gross domestic product (GDP)).

(ii) The sequence of accounts from the production account to balance sheets.

(iii) Supply and use tables.

(iv) The non-observed/informal economy.

(v) Source data for compiling annual and quarterly estimates of GDP using production (economic activities) and expenditure approaches.

(vi) Preparation of GDP volume measures: double deflation; volume extrapolation; and chain linking.