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Macroeconomic Statistics

Virtual : Consumer Price Index-Advanced (CPI-A)

Deadline passed

Session No.: CE 22.07V

Location: Kuwait City, Kuwait

Date: January 24-27, 2022 (1 week)

Delivery Method: Virtual Training

Primary Language: English

Interpretation Language: Arabic

    Target Audience

    Compilers of consumer price indexes (CPIs).

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    Qualifications

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

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    Course Description

    This course, presented by the Statistics Department, is intended to broaden participants’ understanding of the concepts and methods of compiling CPIs. It provides an overview of the index number theory and its practical implications in terms of choosing the index number formula at lower and higher levels of aggregation. The course covers the sources and methods for developing weights and sampling areas, items, outlets, and varieties. New and emerging data sources as well as new collection technologies are discussed. Frontier issues including how to better measure the digital economy are included. Linkages to the 2008 SNA are highlighted, including the related principles of scope, coverage, and valuation. 

    The course covers the following topics:

    • calculating elementary and upper-level indexes;
    • methods for handling temporarily and permanently missing prices; 
    • introducing new outlets, items, and varieties;
    • adjusting prices for quality changes;
    • chaining and linking indexes with updated weighting structures; and
    • meeting data users’ needs to ensure relevancy.

    The course follows the principles and recommendations of the CPI Manual (2020).

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    Course Objectives

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

    • Apply recommended index calculation methods.
    • Apply methods for dealing with such index compilation challenges such as unavailable items, quality change, and keeping an index up to date.
    • Assess how well a CPI meets international guidelines for best practice.
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