National Accounts Statistics (NAS) - Bangladesh

Course Details

Start: November 4, 2018

End: November 8, 2018

Course Number: SA 18.51

Course Name: National Accounts Statistics (NAS)  - Bangladesh

Language: English

Location: Dhaka, Bangladesh 

Application Process: By Nomination





Target Audience

The workshop is intended for Bangladesh government officials who are integrally involved in the compilation or utilization of national accounts statistics. Participants should be suppliers of statistics that are used to compile national accounts statistics, national accounts statistics compilers, or users of national accounts statistics for official policy-making purposes.


Participants are expected to have a bachelor’s degree, with backgrounds in economics, accounting, or related fields.

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; supply and use tables; data sources and indicators (annual and quarterly), including use of benchmarking techniques; price and volume measures, including chain linking; 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 nonobserved/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.