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Producing economic statistics and advice for Scotland Highland Economic Forum October 2009 Sandy Stewart Senior Statistician Scottish Government Office of the Chief Economic Adviser Contents • Producing statistics and economic advice for Scotland • Scottish Issues • Sub-Scotland Data and Analysis • Modelling Sub-Scotland GVA – output and income approaches • Planning – looking to the future discussion Producing economic statistics and advice Office of the Chief Economic Adviser Producing Statistics Short term indicators GDP Trade statistics GCS/IME SNAP National Accounts/ GERS/ Tax Modelling/ Budget advice Input-Output/ Impact studies and modelling Business Statistics Micro analysis/ IDBR/ABI/R&D Labour Market UK NATIONAL ACCOUNTS UK ENV ACCOUNTS SNAP UK GDP(E) Family Spending HHFCE Global Connections Investment Stock change Scot GDP(E) AEA Inventories by product AEA by Scottish industry LFS UK INPUT-OUTPUT Environmental Extensions UK GDP(I) Regional Accounts STES, ASHE ABI1, ABI2 PAYE Property Prices Taxes & Subsidies Scot GDP(I) Impact Assessments SCOT INPUT-OUTPUT UK GDP(P) MPI MIDDS FSI ONS HMT BERR Scot GDP(P) CGE Models HMT: COINS, PESA, CRA Scot IME Scot Global Connections Survey Symmetric tables, IxI PxP, Leontief Inverses Scot : Government Expenditure and Revenues Scotland ONS : PSA, QNA HMRC SPI FRS BERR Labour Market Extensions Scottish Issues Issue 1 – Meeting Users needs – Ministers – routine publications and ad-hoc demands – want more and earlier – statistical and non-statistical products – Council of Economic Advisers – recommendation 21 “the quality of economic statistics in Scotland does not yet meet the needs of government. We welcome the many steps which are being taken to improve the situation and have drawn special attention in this chapter to some of the areas which we believe should receive priority in these developments: • • • • • • the financial services sector the oil and gas sector depreciation and environmental statistics output prices, especially in the export sector the public sector alternatives measures to GDP” – Media and public – critical, but strong underlying political interest – Local knowledge – more extensive sub-Scotland analysis required Recent press comments • “This tardiness in the publication of Scottish Government (GDP) statistics is a continuing scandal” – Scotsman 21/4/09 • “Scotland’s GDP numbers: An amazing case of statistical mince” – Scotsman 22/4/09 – criticism of chain-linking (Delphic mysteries) and seasonal adjustment (need peaks and troughs) • But there were some anomalies in the GDP figures ..” – Scotsman 23/4/09 Issue 2 – Dependency on UK data – reporting units not determined by geography – need for survey boosts (can be expensive!) – programme dependent on UK programme • Purchases inquiry • National accounts re-engineering – local considerations need to be balanced with national considerations – Allsopp developments welcomed – especially GVA(P) Issue 3 – SIC 2007 • • • • Implications for all our statistical products Need for major (?) system re-writes No real scope for delays to publications Need to scope requirements and consider resource implications Issue 4 - Resources • Already over-stretched • Vacancies – recruitment problems for qualified professional staff • Tightening of budgets • Make better use of ONS methodology directorate (e.g. SNAP review of deflators) • Need to work with others to “pool” information and peer review outputs. Sub-Scotland data and analysis ONS – Regional GVA – 1. • NUTS3 geographies – Caithness & Sutherland, Ross & Cromarty – Inverness & Nairn and Moray, Badenoch & Strathspey – Lochaber, Skye & Lochalsh and Argyll and the Islands – Eilean Siar – Orkney Islands – Shetland Islands • Annual data – 1995 – 2006 latest available. ONS – Regional GVA – 2. • Industries – – – – – – Agriculture, Forestry and Fishing Production Construction Distribution, Transport and Communication Business Services and Finance Public administration, education, health and other services. – Total GVA • Income components – Compensation of employees – Gross Operating Surpluses Highlands & Islands GVA per head 120 Highlands and Islands Caithness & Sutherland and Ross & Cromarty 100 Inverness & Nairn and Moray, Badenoch & Strathspey UK=100 80 Lochaber, Skye & Lochalsh and Argyll and the Islands 60 Eilean Siar (Western Isles) Orkney Islands 40 Shetland Islands 20 Scotland 0 1995 1996 1997 1998 1999 2000 2001 Year 2002 2003 2004 2005 2006 ONS Regional Gross Disposable Household Income NOMIS – Labour Market • Contents – population, working age population – employment, unemployment, economic inactivity – occupations, qualifications, earnings – benefits & claimants • Employment x Earnings can be used to proxy Compensation of Employees – largest income component of GDP. Modelling Sub-Scotland GVA – output and income approaches Experimental GVA (output based) in constant basic prices for Highland Local Authority 140.0 130.0 Index (2003=100) 120.0 110.0 100.0 90.0 80.0 70.0 60.0 1 2 3 4 2003 1 2 3 4 1 2004 2 3 4 1 2005 2 3 4 2006 Year / Quarter Agriculture, Forestry and Fishing Construction Production Services Total GDP Experimental regional GVA (1) • Initial research determined that a ‘bottom-up’ approach using the source data used in the National GVA measure is not possible. – The samples are drawn to provide UK-level statistics – Taking a Scottish extract is not without its difficulties, notably business units spanning the border – Breaking this down further by L.A. leads to incredibly small and inherently volatile samples (and estimates). – The current panel-estimation approach used in manufacturing is completely incapable of producing regional (sub-Scotland) estimates. Experimental regional GVA (2) • • Hybrid ‘top-down’ approach trialled (during 2007). The approach used 3 main data-sources: 1. Quarterly GVA (Scotland) – used as a National constraint for regional estimates 2. Inter-Departmental Business Register (IDBR) – provided employment growth by industry/L.A. 3. Annual Business Inquiry – provided benchmark levels of GVA by local authority in addition to regional labour productivity by industry. • In essence, relative movements in ‘2’ and ‘3’ were used to apportion overall growth in ‘1’ to each region. Experimental regional GVA (3) • In short: – – – – • Estimation never repeated after initial trial – – • The estimates are artificial; modelled using a range of indicators not really intended to be used in this way. No new primary data used in the estimates Pragmatically, the best estimates that could be achieved with the current data Some plausible results achieved, some less so Was clear that a vast amount of (IDBR) data-cleaning would be required for initial development Ongoing requirement to actively track changes in IDBR employment against other non-statistical information (newspapers, news releases, local knowledge) to ensure that regional trends were plausible Would require a significant investment of resources with no guarantee of success. GVA (Income approach) • SNAP project – builds on Regional Accounts methodologies • Currently produced as experimental statistics for Scotland – see SNAP website www.scotland.gov.uk/SNAP • Proxy data for income components available locally – employment, earnings • Modelling – combine output and income analysis where appropriate – augment with local knowledge Year quart 2009 2008 2008 2007 2007 2006 2006 2005 2005 2004 2004 2003 2003 2002 2002 2001 2001 2000 2000 1999 1999 1998 1998 2005=100 GDPO and GDPI - Scotland 110.0 105.0 100.0 95.0 GDPO GDPI 90.0 85.0 80.0 Planning – looking to the future Topics for discussion • OCEA need to know how our data are being used – or not used • Need to understand how you use data from ONS, HMRC, OGDs • Sharing local knowledge – peer review of outputs • Need to collect supplementary data • Need to develop a modelling framework