Apr 18, 2022

Apr 22, 2022

Course Number:

Application Deadline

Feb 28, 2022

Virtual : Producer, Export, and Import Price Statistics (PEI)

April 18 - April 22

Target Audience

Compilers of producer price indexes (PPIs) and export-import price indexes (XMPIs).


Participants are expected to have a degree in economics or statistics; or equivalent experience.

Course Description

This course, presented by the Statistics Department, is intended to deepen participants’ understanding of the concepts and methods of compiling PPIs and XMPIs. It provides an overview of the steps of index compilation including establishing index weights, sampling establishments, selecting and specifying transactions to be priced, calculating indexes, and disseminating the results. The role of price indexes as deflators in the 2008 SNA is analyzed, as are related principles of scope, coverage, and valuation. Issues related to expanding coverage of the services sectors are emphasized, including an overview of pricing methods for information and communication technology, transportation, distributive trade, and tourism services.

The course covers the following topics:

  • calculating elementary aggregate indexes with and without item weights;
  • methods for handling temporarily and permanently missing items; 
  • chaining and linking indexes with updated weighting structures; 
  • compiling export-import indexes using the hybrid methodology; and
  • expanding coverage of the services sectors.

The course follows the principles and recommended practices in the PPI (2004) and XMPI (2009) manuals.

Course Objectives

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

  • Apply specific principles to develop and update index weights. 
  • Calculate price indexes based on collected prices and weights.
  • Apply methods for dealing with index compilation challenges such as unavailable items, quality change, and item substitution.
  • Define and identify the pricing methods to be used for services activities.
  • Identify suitable data sources to support the compilation of reliable XMPIs.
Language: English
Application process: Please apply online