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Module H4 Session 2 Guidance for Trainers Module H4 Session 2 Guidance for Trainers Discussions Discussion 1 In Table 3, what is the real output figure for 2007? A. 1928 million US$ What is the percentage increase in real output between 2005 and 2007? A. 11% Roughly how much of the percentage increase in nominal output between 2005 and 2007 is attributable to price increases? A. Nominal output increased by 17.0%, while real output increased by 11.4%, so about one-third of the increase in nominal output is attributable to price increases. Exercises Exercise 1 For students in countries using the fixed base year method, the aim is to find out what are the problems associated with choosing base years, why new base years are often needed after a period of several years, and what are the implications of ‘rebasing’. For those in countries using the annual chain-linking method, the aim is to understand the method and why it was chosen in preference to the older fixed base year approach. The following definition adapted from Soo and Charmokly (2003) may be helpful to trainers: In annual chain-linking, the base year is updated every year as opposed to the fixed base method where the base year is updated every five years. Calculations are carried in previous years’ prices (PYP) and the aggregated PYPs are chain-linked together to give ‘chained volume measures’ (CVM). Chained Volume Measures (CVM) This is the term which used to describe components of real GDP. UK GDP is now given in CVM rather than ‘constant prices’ associated with a base year. Previous Years’ Prices (PYP) Values in previous years’ prices (and referenced to the previous year) as opposed to values in current or constant prices. Soo, A. and Charmokly, Z. (2003): ‘The application of annual chain-linking to the Gross National Income system’ in Economic Trends, Office for National Statistics, April 2003. Available at: www.statistics.gov.uk/articles/economic_trends/ETApr03Soo.pdf SADC Course in Statistics Module H4 Session 2 Guidance – Page 1 Module H4 Session 2 Guidance for Trainers Exercise 2 The students should use the links to tables of GDP and GNI by country on the page introducing Quick Reference Tables in the Data section of the World Bank website1 http://web.worldbank.org/WBSITE/EXTERNAL/DATASTATISTICS/0,,contentMDK :20399244~menuPK:1504474~pagePK:64133150~piPK:64133175~theSitePK:239419,00. html to construct a table like the one below. You could suggest that they include the countries which I have listed in the example table, or get the students to choose for themselves. Ask them to include their own country/ies. Example table: GNI and GDP for selected countries, 2006 GNI, Atlas method (million US$) GDP (million US$) GNI/GDP USA 13,446,031 13,201,819 102% Japan 4,899,966 4,340,133 113% S Africa 255,333 254,992 100% Chile 114,885 145,841 79% Bangladesh 69,921 61,961 113% El Salvador 17,782 18,306 97% DR Congo 7,742 8,543 91% Mozambique 6,924 7,608 91% Mauritius 6,833 6,448 106% Madagascar 5,343 5,499 97% You should then ask the students what might be the reasons for big differences between GNI and GDP. In order to guide the discussion, you should be aware that normally: 1 GNI > GDP i) when residents have substantial investments abroad from which This link was current at July 2007. If it has changed, use a search engine to find it. SADC Course in Statistics Module H4 Session 2 Guidance – Page 2 Module H4 Session 2 Guidance for Trainers they receive income (as in Japan, which has many multinational companies operating abroad), and/or ii) when there are large numbers of migrant workers abroad sending home remittances (as in Bangladesh), and/or iii) if the country is receiving large inflows of foreign aid. GNI < GDP when the country has attracted large amounts of foreign investment, so income is flowing out of the country to foreign investors (as in Chile). If you have time, it would be good to ask the students to investigate the case of their own country – if you/they can obtain a breakdown of income inflows and outflows. Note that: (a) in some cases, there may be large inflows and large outflows which are cancelling each other out so that GNI and GDP are similar (as in El Salvador). Alternatively, GNI and GDP may be similar simply because there is little income flowing in or out! (b) part of the differences may be caused by the use of the Atlas method to measure GNI. The third part of the exercise asks students to think about why GDP is more commonly used as an indicator by policymakers than GNI. This should be an open discussion. Bear in mind that GDP is essentially a measure of what the country produces. GNI on the other hand, is a measure of the country’s ‘wealth’ – even if some of it is produced abroad rather than within the country. This alone may be enough to justify preferring GDP as a more ‘fundamental’ measure: it reflects the underlying strength of the economy in terms of production. With regard to GNI, if GNI > GDP, perhaps there may be questions about the sustainability of the position? And if GNI < GDP, perhaps the country’s leaders prefer to play down how much of the income from national production is going abroad! Exercise 3 This exercise needs no special guidance. The aim is to get the students to understand what the PPP approach does to GDP and GDP per capita figures, and to think carefully about the implications of using PPP. Is it a useful approach? Is it too complicated? SADC Course in Statistics Module H4 Session 2 Guidance – Page 3