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The effect of the cuts on government statistics and their use Radical Statistics’ working group on Reduced Statistics RSS conference, Telford, 5 Sept 2012.

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Presentation on theme: "The effect of the cuts on government statistics and their use Radical Statistics’ working group on Reduced Statistics RSS conference, Telford, 5 Sept 2012."— Presentation transcript:

1 The effect of the cuts on government statistics and their use Radical Statistics’ working group on Reduced Statistics RSS conference, Telford, 5 Sept 2012 Statistics for a change Social responsibility in statistics

2 UK official statistics: development Army and taxation WWII created the CSO Expansion of GSS in the 1970s Rayner Review and contraction 1980s 1990s-2000s expansion Legislation and its impact

3 Purposes of official statistics? Appraisal and evaluation of policies by civil servants and those working on government's behalf To support 'enterprise', 'knowledge', 'innovation' - statistics used for things from market to fundamental academic research Democratic accountability for the outcomes of policy, providing a basis for debate in the public sphere (for NGOs, think tanks, political parties or movements)

4 Measuring the production of statistics Inputs (expenditure) Staffing Activity (publications, series, surveys) Quality Effectiveness

5 Expenditure Comprehensive Spending Review 2010/11- 2014/15: reduce public expenditure in response to national economic debt Impossible to identify government spending on Statistics or Research – John Beddington to House of Lords Nov 2011: “has involved a team working for about four or five months to get as far as we have, and I have to question the allocation of resources”. – DfID commissioned research +59% 2010/11 to 2014/15 – DEFRA commissioned research -21% 2010/11 to 2014/15 – DWP commissioned research -20% in one year to 2011/12 – DCLG commissioned research -63% 2008/09 to 2011/12 Research Council spending -10% over 4 years in real terms

6 Expenditure – local government Budget 2011/12 : 10% below the out-turn in 2009/10 (IFS, 2012). – larger authorities serving the poorest areas suffering larger cuts – In half, Development and Planning functions cut by 40% or more “monitoring and evaluation roles appear to be one of the foremost casualties of back office efficiencies in many, if not all, authorities”. – “important implications for the development of an evidence base capable of facilitating understanding of the scale and impact of budget contraction.” Hastings et al., 2012, based on budget documents and interviews Half of local authority researchers experienced budget drops in their department in both 2010/11 and 2011/12 (LARIA/PMN, 2012) – Of the drops each year, a quarter are severe rather than moderate. “Achieving more with less” – Greatest challenge in 2011 (52%) and 2012 (42%)

7 Staffing A four-way table: – Economists – Statisticians – Operational Researchers – Researchers – Full time equivalent staff in each Government Department – March 2009, 2010, 2011, 2012, and estimated for current financial year – a) below Grade 6 level, b) at Grade 6 or above

8 Staffing: Government Statisticians, Economists, Social Researchers Economists Social Researchers Add 60-80 for SCS (Senior Civil Servants) Source: UKSA Committee on Official Statistics; headcounts

9 Central and local govt time series

10 Activity The TellUs Survey (Schools) – children and young people's views and self-reported behaviour The Citizenship Survey (DCLG) – race equality, faith, feelings about their community, volunteering and participation The Place Survey (DCLG) – National indicator set for evaluating local government performance Statistical series – All regional reporting by DCLG, the Electronic Survey of Empty Homes, Neighbourhood Statistics on Vacancies and Second Homes, and dwelling stock by Council Tax Band, Houses in Multiple Occupation, … – UKSA note cessations reported to the National Statistician

11 Number of National Statistics by Theme In the year to March... Deleted 2011- 12 (merged, ceased, lost status) 2008201020112012 A&E Agriculture and Environment 11612311128 B&E Business and Energy 3942461 C&J Crime and Justice 49554710 C&R Compendia and Reference 423 CES Children, Education and Schools 97 8616 Econ Economy 19518512544 Govt Government 4342335 HSC Health and Social Care 246284208102 LM Labour Market 3237341 Mig Migration 333 P&P People and Places 93726418 Pop Population 1051011159 S&W 11 T&T Travel and Transport 67886032 Total 119310851135932272 Reduction in Economy and Government oddly more than reported as deleted. Reduction in ad hoc analyses: 157 -> 120 -> 46

12 Quality Planned reductions in quality – Sample size of eg. household conditions survey The unplanned impact of reduced staff – Checks and validation – Engagement (morale) – Civil Service survey – Reorganisations have tended to interrupt and de-skill services Voluntary redundancy schemes tend to take the more experienced staff

13 Effectiveness Economic impact (Charles Beagrie Ltd & CSES, 2012) – The effects of withdrawing a service – ‘How much would you accept to not have this service?’ – The results valued the ESRC’s Economic and Social Data Service at five times more than the investment made to fund them. How to weight the opinions of different users? – The occasional user of benefit take-up statistics who finds them essential I think: not of practical help in the short term

14 Some features Easiest pruning – Commissioned research including surveys – Political hits – previous administration’s projects – Analysis rather than staff or core data Also the profession’s strategy to ‘retain capacity’ Coalition philosophy – Localism, let others do government, monitor themselves – Away with targets (setting them and missing them) – A market of services: led by demand not neediness Variation in impact – Government department DfID, MoD ↑, CLG, DWP, DfES, DEFRA ↓ – Local Government variation in decreases

15 William Farr 1807-1885 First ‘compiler of abstracts’ at General Register Office after civil registration began in England and Wales in 1837. Wrote commentaries on trends in births, deaths and population. Developed classifications of diseases and causes of death. ONS business plan 2012: Health analysis no longer a priority

16 What to expect – medium term Data without interpretation – Reduction in analysis – Open Data without validation – Vulnerable reputation of official statistics Diversity of state provision – Incompleteness and variety of administrative data – Standards, co-ordination, responsibility to self-monitor? Cumulative impact on democratic accountability – Equality agenda without benefit statistics take-up analyses – Public order agenda with reduced regional and local statistics Resignations at UKSA Statistics for a change Social responsibility in statistics

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