Household Modelling and Forecasting-Dynamic Approaches with Use of Linked Census Data
Datos Bibliográficos
| ID | 4936621 |
|---|---|
| Autores | M Murphy (0000-0002-6160-2756), Mike Murphy (0000-0002-8379-3813, London School of Economics and Political Science, autor de correspondencia), Michelle Murphy (0000-0001-5173-1717, London School of Economics and Political Science) |
| Año | 1991 |
| Volumen | 23 |
| Número | 6 |
| Páginas | 885-902 |
| Fecha de publicación | 1991-06-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Environment and Planning A Economy and Space (JOURNAL) |
| Identificadores de la revista | ISSN: 0308-518X • E-ISSN: 1472-3409 |
| Editorial | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1068/a230885 |
| PMID | 12284182 |
| OpenAlex | W2168030982 |
| Idioma | EN |
| Citas recibidas | 7 |
| Referencias citadas | 28 |
Household projections produced by official agencies usually use the headship rate method, based on the proportion of people designated as 'head of household' (or 'reference person') in various sex, age, and family categories. Reasons are discussed why this method has been criticised in recent years: the headship method does not incorporate any behavioural assumptions or dynamic aspects; only the characteristics of the head are included explicitly; and the concept of 'head' is thought to be incompatible with more egalitarian household roles. The advantages of dynamic models are discussed, and a number of alternative dynamic models of household formation and dissolution are presented. The data source used is the Office of Population Censuses and Surveys 1% longitudinal study, which contains linked information on 500000 people in the 1971 and 1981 England and Wales Censuses of Population
Census · Demographic analysis · Econometrics · Economics · Geography · Operations research · Population · Regional science · Sociology · Computer Science · demographic modeling and climate adaptation · Demography · Engineering · Global Health Care Issues · Insurance, Mortality, Demography, Risk Management
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| Obras citantes distintas | 7 |
|---|---|
| Citas por año | 0,2 |
| Intervalo de citas | 1991 - 2022 (32) |
| Velocidad de citación | historical |
| Altamente citado | No |
| Tipos de cita | Neutras: 5 |