A model of the determinants of expenditure on children's personal social services
Every year the United Kingdom central government assesses the relative spending needs of English local authorities in respect of the services for which is it responsible. This is done by estimating a Standard Spending Assessment (SSA) for each service, which is intended to indicate the spending requirements of an authority if it were to adopt a standard level of services, given the circumstances in its area. In practice, statistical methods are used to develop SSAs for most services. This report describes the findings of a study designed to review the methods for setting SSAs for a single service: personal social services (PSS) for children, which in 1995/96 accounting for about £1.8 billion of expenditure (4.4% of total local government expenditure). The study was commissioned by the Department of Health and undertaken by a consortium which comprised The University of York, MORI and the National Children’s Bureau. The study was guided by a technical advisory group, comprising representatives from the local authority associations and the Department of Health. In seeking to limit the length of the report, the authors have necessarily omitted a great deal of the technical material produced in the course of the study. We understand that the Department of Health is willing to make this material and the data used in the study available to interested parties, subject to certain confidentiality restrictions. Existing methodology for constructing SSAs had been the subject of some criticism, both in general and specifically in respect of children’s PSS. This document reports the results of a study designed to apply a radically new statistical approach to estimating the SSA for children’s PSS. Previous methods were based on statistical analysis of local authority aggregate data. In contrast, this study is based on an analysis of PSS spending in 1,036 small areas (with populations of about 10,000) within 25 local authorities. A relatively new statistical method known as multilevel modelling, which was originally developed in the educational sector, was used for this purpose.
|Date of creation:||Dec 1997|
|Date of revision:|
|Contact details of provider:|| Postal: |
Phone: (01904) 321401
Fax: (0)1904 323759
Web page: http://www.york.ac.uk/che
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Richard Blundell & Frank Windmeijer, 1997.
"Cluster effects and simultaneity in multilevel models,"
John Wiley & Sons, Ltd., vol. 6(4), pages 439-443.
- Richard Blundell & Frank Windmeijer, 1997. "Cluster effects and simultaneity in multilevel models," IFS Working Papers W97/05, Institute for Fiscal Studies.
When requesting a correction, please mention this item's handle: RePEc:chy:respap:30cheop. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Frances Sharp)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.