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Quarterly National Accounts in IRAN Objectives of Presentation Quarterly national accounts in Iran Scope and coverage of QNA, Data sources for compiling QNA, Benchmarking techniques in use, Seasonal adjustment methods used, Price and volume measures, Revision policy and dissemination practices. 2 Quarterly National Accounts in Iran In 2002, the preliminary steps for preparing Quarterly National Accounts were taken by the Statistical Center of Iran(SCI) and QNA was calculated within the framework of a research project conducted for the period of 1991-2005. In 2008, previous research has been revised on the basis of “Quarterly National Accounts Manual, IMF, 2001) particularly in the field of coverage level of details and supplementary indicators and the quarterly national accounts were calculated by the SCI for several years after 2006. In 2012, for the first time, a Quarterly Accounts Group was established in the Statistical Center of Iran. This Group has been continuously engaged in preparing and publishing Quarterly National Accounts. 3 Scope and Coverage of QNA In order to calculate quarterly estimates of GDP we are using two approaches (production and expenditure): 1. Value added and GDP in current and constant prices by industry 2. Expenditures of the GDP in current and constant prices following To estimate the value added and GDP by industry, in the first step, the activities in the alphabetical ISIC rev3.1 (12 activities) were checked and by considering available data sources and usual methods in the annual national accounts, indicators and related quantities have been identified. Then, based on the bottomup method, coverage level of the 12 activities were determined and broken down to computable components. Finally 42 industries were used in QNA calculation of GDP. In each industry, suitable indicators and quantities, have been used to estimate quarterly output based on the Denton Method and then the value added is calculated assuming a fixed equal ratio between the intermediate consumption and output. 4 Calculation method in GDP by expenditure is similar to estimations in the production approach. The Estimation and Dissemination Levels of Quarterly Quantities for GDP by Industry Row dissemination level Estimation level Farming and horticulture 1 Animal husbandry Agriculture, hunting, forestry forestry 2 3 4 Fishing Oil and gas quarrying Mining Manufacturing Fishing Mining and quarrying Manufacturing Electricity supply 5 Gas distribution Electricity, gas and water supply Water supply 6 Construction Wholesale and retail trade 7 Hotels Restaurants Construction Wholesale and retail trade, hotels and restaurants Transport via railways Other land transports Transport via pipelines 8 Water transport Air transport 5 Support Transport Post and telecommunications Transport, storage and communications The Estimation and Dissemination Levels of Quarterly Quantities for GDP by Industry Row Estimation level dissemination level Bank 9 Other Financial intermediation Financial intermediation Insurance Real estate activities with own property Real estate activities with leased property 10 Non- residential property activities Real estate, renting and business activities Real estate activities on a fee or contract basis renting and business activities Public administration Defense Compulsory social security activities 11 Primary education Public administration and defense; Secondary education compulsory social security, Higher education Other education Education, Health and social work Human health activities Veterinary activities Social work activities Recreational, cultural and sporting activities 12 6 Religious and political Other service activities Other community, social and personal service activities The Estimation and Dissemination Levels of Quarterly Quantities for GDP by Expenditure Row Estimation level dissemination level Household final consumption expenditure 1 final consumption expenditures of nonprofit Private final consumption expenditure institutions serving households (NPISHs) 2 Government consumption expenditures 3 Gross fixed capital formation on construction General government consumption expenditure Gross fixed capital formation on construction Gross fixed capital formation on Machinery and 4 equipment Gross fixed capital formation on other assets Gross fixed capital formation on Machinery and equipment Export of oil Non-oil exports 5 Export of services import of goods import of services 7 6 Export of goods and services Changes in inventories and data discriminations import of goods and services Changes in inventories and data discriminations Data Sources for Compiling QNA Indicators for GDP by industry activity Data sources/indicators • Agricultural production index (based on Statistical Survey on farm gate Prices Agriculture, hunting, forestry of Products and Costs of Agriculture Services in Rural Areas); • Information from annual accounts; • Government budget • PPI components Fishing • Value / size of catches • PPI components • Registered data received from Oil Ministry ( including export, Refinery Mining and quarrying feedstock and gas extraction); • Mineral production index (based on Statistical Survey on Production Price and Amount of Mineral Activity) Manufacturing • Industrial production index ( based on Statistical Survey on Production Price and Amount of Industrial Activity) • Registered data received from organizations (including quantity / value of Electricity, gas and water supply 8 sales; • Gas and condensate export • PPI /CPI components Data Sources for Compiling QNA Indicators for GDP by industry activity Data sources/indicators • Private sector investment in construction ; Construction • Government budget; • The number of construction permits issued • PPI components • Iranian Urban and Rural Household Income and Expenditure Survey; Wholesale and retail trade, hotels and restaurants, • Quarterly output from agriculture , fishing, mining and industrial activities; • Nights spent in hotels • PPI /CPI components • Number of passengers transported; • volume of goods transported; Transport, storage and communications • volume/cost of oil and Petroleum products transported; • quantity /cost of parcel; • Iranian Urban and Rural Household Income and Expenditure Survey • PPI components 9 Data Sources for Compiling QNA Indicators for GDP by industry activity Data sources/indicators • Value of loans/deposits; Financial intermediation • Number /value of traded shares; • Number of insurance; produced premium by classes • PPI components • Iranian Urban and Rural Household Income and Real estate, renting and business activities Expenditure Survey; • Real estate transactions • PPI components Public administration and defense; compulsory social security, Education, Health and social work • Government budget; • Iranian Urban and Rural Household Income and Expenditure Survey • PPI components Other community, social and personal service activities 10 • Iranian Urban and Rural Household Income and Expenditure Survey • PPI components Indicators for GDP by Type of Expenditure Description Private final consumption expenditure General government consumption expenditure fixed capital formation Exports and imports of goods and services 11 Main Indirect Sources • Iranian Urban and Rural Household Income and Expenditure Survey • Data from government accounts • Activities results from production approach; • The value of imported capital goods • Customs (volume and unit values) Benchmarking Techniques According to IMF 2001 manual, we are using Denton Benchmarking Technique to calculate quarterly estimates,. Also in order to increase the speed and accuracy of computing activities, the SCI has tried to apply the methods, indexes, patterns, software, results and documentations as a unified package. In addition, we have developed a special software in order to develop the data in Excel. This helps to modify and improve methods for estimating each activity or expenditure components, in an easy and independent manner. 12 Seasonal Adjustment Methods In order to do seasonal adjustments on time series, a separate study has been conducted by the Statistical Center of Iran. We used “TRAMO/SEATS(Bank of Spain)” method and “Demetra+” software to calculate seasonal adjustments, but the results have not been published by the SCI yet due to the fact that we were not sure about the accuracy of results and method. We hope that this workshop could help us to improve our calculation methods. 13 Price and Volume Measures Index of agricultural production Source: Statistical Survey on farm gate Prices of Products and Costs of Agriculture Services in Rural Region. Interval: seasonal Coverage level: More than 1500 villages of the country in different provinces. Price and quantity of production 45 farming products, 34 horticultural products, 21 animal husbandry products. Calculation method: chain-linking Estimation level: 1-farming 2- horticulture 3- animal husbandry 160 300 140 250 120 200 100 80 150 60 100 40 50 20 0 14 0 Agriculture farming horticulture animal husbandry Price and volume measures Index of Industrial production Source: Statistical Survey on Producer Price and Amount of Industrial Activities. Interval: Seasonal Coverage level : 1879 industrial establishment Calculation method: chain-linking Estimation level: Two digits ISIC 120 100 80 60 Index of Industrial production — 15 Price and Volume measures Index of mineral production Source Statistical Survey on Producer Price and Amount of Mineral Activities. Interval: Seasonal Coverage level : About 320 operating mines Calculation method: chain-linking Estimation level: Two digits ISIC 105 100 95 90 Index of mineral production — 16 Revision Policy and Dissemination Practices • Initial estimate: 2 to 3 months after the end of the quarter • Revised estimate: 5 to 6 months after the end of the quarter It should be mentioned that all QNA estimates by the SCI are revised after finalization of annual national accounts. 17 Thank you