Description: Classification of the Functions of Government (COFOG) is a classification defined by the United Nations Statistics Division and adapted to the IMF government finance statistics (GFS) reporting framework. COFOG enables trends in government expenditure by function (e.g., defense or education) or policy purposes to be examined over time. The value of this is that expenditure by functions of government of different countries can be compared. Participants will gain an understanding of how the ten functions of government as described in the GFSM 2014 are classified, how to categorize expenditure data to generate a functional split will be explained and how it should reconcile with the economic classification of expenditure data used in the GFS. Participants should feel comfortable to present and discuss relevant data of their own country. Practical exercises with participants working in random groups will feature throughout the course enabling them to be able to appropriately categorize expenditure data to the correct functional categories.
Description: This course, presented by the IMF Statistics Department, is intended to broaden participants’ understanding of the theory and practice of compiling CPIs, PPIs, and XMPIs. It covers the index number theory and its practical implications in terms of the choice of the index number formula at lower and higher levels of aggregation. The course also covers methods for sampling and collecting data from retail outlets and enterprises. The role of price indexes as deflators in the 2008 SNA is analyzed, as are related principles of scope, coverage, and valuation. There are sessions on the following topics: methods for handling temporarily and permanently unavailable items; adjusting prices for quality changes, including new products, establishments, and outlets; and chaining and linking indexes with updated weighting structures.The course follows the principles and recommended practices in the CPI (2004), PPI (2004), and XMPI (2009) manuals.
Target Audience: Experienced compilers of consumer price indexes (CPIs), producer price indexes (PPIs), or export-import price indexes (XMPIs).
Description: The value of national SDG data and metadata platforms is greatly increased by the incorporation of open data principles and data interoperability standards. These principles and standards allow users to seamlessly access, integrate, analyze and use SDG data for decision making. Thus, building on the outcome of the Conference, the United Nations Statistics Division has worked closely with various partners in multiple initiatives to promote and enable the implementation of open data and interoperability for SDG data reporting.