Informing Policy-Making at Sub-Local Authority Spatial Levels
Using Small Area Micro-Data from the 2001 Census
Bibliographic Data
| ID | 6301911 |
|---|---|
| Authors | Mark Brown (0000-0003-4098-2929), Chris Gardiner (0000-0002-2318-0062), C H Gardiner (0000-0002-4373-5395) |
| Year | 2004 |
| Volume | 30 |
| Issue | 1 |
| Pages | 74-87 |
| Publication date | 2004-03-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Local Government Studies (JOURNAL) |
| Journal identifiers | ISSN: 0300-3930 • E-ISSN: 1743-9388 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/0300393042000230939 |
| OpenAlex | W2026618355 |
| Language | EN |
| Citations received | 1 |
This article discusses how the release of small area microdata (SAM) from the 2001 UK Population Census could help provide better information in the policy-making process at sub-local authority spatial levels. An experimental set of SAM from the 1991 Census, provided by National Statistics, was used to develop a methodology which can provide SAM estimates of the effects of area at ward level, and can separate these spatial effects from compositional influences due to characteristics of the local area population. These SAM-based results appear to be at variance with census tabular data. It is concluded that 2001 Census SAM could provide an important further source of information for improved policy and target setting at the local area level
American Community Survey · Census · Geography · Local authority · Microdata (statistics · Political science · Population · Regional science · Small area estimation · Sociology · Statistics · demographic modeling and climate adaptation · Demography · Mathematics · Migration, Aging, and Tourism Studies · Public Administration · Rural development and sustainability
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,05 |
| Citation span | 2007 - 2007 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |