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Better Information for Regional Government. Marie Cruddas, Minda Phillips & Pete Brodie, ONS. Presented by Martin Brand, ONS Methodology Directorate. Outline of Presentation. The Neighbourhood Statistics Programme Background Topics and data sources Estimating for small areas
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Better Information for Regional Government Marie Cruddas, Minda Phillips & Pete Brodie, ONS. Presented by Martin Brand, ONS Methodology Directorate
Outline of Presentation • The Neighbourhood Statistics Programme • Background • Topics and data sources • Estimating for small areas • Allsopp Review • Background • Recommendations • Developments
Neighbourhood Statistics - The Need “…anyone can wander through some of these [deprived] areas and know that something is very badly wrong – but the government has never set out to record or analyse the issues in a comprehensive way.…” PAT 18 Report on Better Information
What is Neighbourhood Statistics? A service designed to meet the needs of the National Strategy for Neighbourhood Renewal. “The absence of information about neighbourhoods has produced a series of failings at national, local and community level…policies can easily be misdesigned or mistargeted….and important trends have been missed”.
What does Neighbourhood Statistics offer? Publicly available internet access to - • Neighbourhood Profiles; • Thematically map any data; • Point location of services; • Library of datasets to view or download; • Pick and mix variables from different datasets; • Time series analysis; and • Create your own area. http://neighbourhood.statistics.gov.uk
Topics and data sources 13 main topic areas relating to deprivation. Two examples are; 1. Work Deprivation: • Business and economic activity data, work-related benefits claimants, and participation on government training programmes. • Data sets include; • Benefit claimants (administative source) • Occupational group (Census) • Counts of enterprises by industry group (Business Register) • Employment rate (Survey)
Topics and data sources 2. Economic Deprivation: • Data relating to economic activity, poverty and the provision of selected welfare benefits. • Data sets include; • Income support claimants (administrative source) • Child benefit claimants (administrative source) • Household income (model based estimates)
Model-Based Estimation for Small Areas • Census, survey and administrative sources do not cover all requirements • Statistical techniques used to produce estimates for small areas when "standard" survey estimates for these areas are unreliable or cannot be calculated. - Ghosh and Rao (1994) and Rao (1999). • Use models to "borrow strength" over space, over time or from correlation with auxiliary information provided by administrative or Census sources
Small Area Estimates of Income • Survey Data • Family Resource Survey (FRS) • Household total and net income • Sample size 21,000 households in 3,375 wards • Covariate Data • 2001 Census • Department for Work and Pensions benefit claimant count data • HM Land Registry dwelling price data • Council tax data • Regional indicators • Estimation • Multi-level model • Model-based estimates for 9,275 wards • Published as experimental statistics
NeSS - Future Direction and Developments • ‘First Stop Shop’; • Increased use of administrative data; • Improved analytical capacity; • Ongoing improvements to usability; and • Use of new technologies.
Allsopp Review – 2004 • Review of Statistics for Economic Policymaking • To assess the demand for and provision of regional information, and • examine whether official economic statistics adequately reflect changing UK economic structure
Allsopp Review – 2004 Recommendations relating to regional statistics • Improvements to regional data • Good quality and timely estimates of annual Gross Value Added for regions • Make more use of administrative data • Expand micro-economic and sub-regional data through the infrastructure used by NeSS • Give greater access to the ONS business related administrative data
Developments • Development of new Business Register Employment Survey (BRES) • to inform the register • to provide the basis for the annual employment estimates • Access to Administrative Data for small businesses, eg • Corporation Tax • VAT
Developments - BRES Improved data • new questionnaire to improve data quality • employment size and turnover measure at LU level • Improved validation and imputation • Improved stratification • complexity of business • FTE instead of headcount • “unusual” businesses defined using admin data • Improved regional estimation • marginal level calibration • winsorisation
Developments - Regional Statisticians ONS has established a presence in the 9 English regions. • work with regional partners on collaborative projects and provide advice of the use of official statistics; • gather information to improve the quality of ONS data and processes; • quality assure final estimates of regional Gross Value Added (GVA); • help improve the quality of the Inter-Departmental Business Register (IDBR) and business survey data; • provide access to IDBR data; and • provide a first point of ONS contact for key regional bodies.