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Local Government Resource Allocation: The Approach In Wales

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Title: Local Government Resource Allocation: The Approach In Wales


1
Local Government Resource AllocationThe
Approach In Wales
  • Anthony Whiffen and Gareth Thomas
  • Local Government Finance, Welsh Assembly
    Government

2
Presentation Outline
  • Rationale for resource allocation formulae
  • Development of Local Government Formula
  • the Welsh context
  • using regression
  • using hierarchical modelling
  • future issues

3
Main Local Government Functions
  • Education
  • Social Services
  • Transport
  • Planning

4
Three possible resource allocation mechanisms
  • according to the size of bids from local areas
  • according to historical precedent
  • on the basis of some independent measure of need
    (formula)

5
Why use formulae? (1)
  • reflect factors driving need to spend on
    particular services
  • authorities unable to influence SSA
  • authorities funded on equal footing
  • minimises the need for judgement

6
Why use formulae? (2)
  • transparent
  • fair
  • updated annually
  • relatively economical to administer

7
Formulae development - the Welsh context
  • 1996 Local Government in Wales reorganised
  • 1998-2000 Independent Review of Formula
  • 1999 (Welsh Assembly established)
  • 1999 (Partnership Council established)
  • 2001-02 First Settlement with New Formula
  • 2001-06 Revisions continue following Review

8
Formulae development - the Welsh context
9
Resource Allocation using a formula
  • Need to Spend - 3 main drivers
  • Main client group (e.g. population, pupil
    numbers)
  • Deprivation (e.g. Income Support claimants,
    people with long-term illness)
  • Population dispersion

10
Aim discover a common pattern in the spending
responses of local government to the
characteristics of the population
  • to what extent did higher spending go with larger
    populations?
  • to what extent did higher spending go with
    particular types of deprivation?
  • to what extent does higher spending go with
    population dispersion?

11
Formula development process
  • Establish relevant client group / population

12
Establishing a client group
13
Formula development process
  • Establish relevant client group / population
  • Test other variables using SPSS
  • Scatter graphs
  • Simple Regression
  • Stepwise procedure
  • or use Hierarchical Regression

14
Regression Results
15
Issues/Problems with formulae
  • Intuitive
  • Collinearity
  • Extreme values
  • No model (local policies and efficiency)

16
Hierarchical modelling
  • Independent review recommended using small area
    data and hierrarchical regression modelling
  • Further study commissioned from York University
    assessing feasibility of data collection and
    application modelling technique

17
Advantages of using Hierarchical Modelling
(Hepple Rees (1998))
  • identifies casual relationships between variables
  • improves response between variables
  • filters higher level effects
  • truer reflection of relationship between need
    indicators and spend
  • the ecological fallacy

18
The Ecological Fallacy
19
MLM
  • Example of services used in
  • Personal Social Services (PSS)
  • Children and young persons
  • Younger adults
  • Older adults
  • Education
  • Pre and primary teaching
  • Secondary teaching
  • Form of relationship Yij ?o ?1xij uj eij

20
Example Older Adults PSS
  • Ward based costs and client numbers basic unit of
    analysis. Data Unit PM forms)
  • Unit costs on type of care domiciliary,
    residential and nursing
  • Client data DoB, gender, home postcode,care
    costs per week, hours per week

21
Postcoding
  • Over 30,000 clients in 868 wards
  • Based on 2004 administrative boundaries
  • 8.4 with no or incomplete postcode
  • 3 authorities omitted due to poor recording of
    postcodes

22
Building The Model
  • Over 30 variables tested (deprivation, population
    and sparsity)

23
Final Model
  • Variables adding explanatory power of model
    included.
  • 33.06 Persons aged 65 and over with a limiting
    long-term illness
  • 31.15 Persons aged 65 and over living alone
  • 20.75 Persons aged 85 and over
  • 15.04 Income support recipients aged 65 and
    over

24
Transparency
  • All formula changes agreed by DSG
  • Commonly available datasets used
  • Greater transparency in recent years
  • Green book published since 2005-06 including
    internet
  • Increased and wider scrutiny

25
Future issues
  • Review of Deprivation and Sparsity
  • Review of Education Funding
  • Three Year Settlements

26
Further Reading
  • Capitation funding in the public sector,
  • Journal of the Royal Statistical Society Series
    A (Statistics in Society), 2001, vol. 164, no. 2,
    pp. 217-257(41)
  • Hepple Rees (1998) Standard Spending
    Assessments and Multilevel Modelling. A Report
    for the Department of the Environment, Transport
    the Regions (Bristol Geoeconomics Research)
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