Abstract
Demographic behaviour with respect to household formation and dissolution is both motivational and situational. Very few household models deal with either motive or situation. This chapter sketches an approach to incorporate aspects of the situation in the modelling effort. At the intra-regional level the housing market has the most pervasive effects on processes of household evolution. In turn, household evolution is an important driving force behind housing market transactions. Some household events, like leaving the parental home, or a separation, imply a residential move of at least one of the persons involved and are therefore dependent on the availability and accessibility of a dwelling vacancy. Other household events, like the death of a single person, generate vacancies in the housing stock.
The SONAR model is an event-driven dynamic simulation model of both household evolution and housing market transactions at the local (municipal) level, which can be applied to any user-defined combination of municipalities in the Netherlands. The model supplies full detail on household events that either imply a move (event-dependence) or increase the propensity to move (state-dependence) and on the intensity and outcome of housing market search. The generation and allocation of vacant dwellings is part of the housing market search algorithm and feed-back effects on household evolution can be traced. Policy measures with respect to the number and composition of dwelling construction and housing allocation can be evaluated in terms of the redistributive effects of dwellings over households.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Akkerman, A. (1985), The household Composition Matrix as a Notion in Multi-Regional Forecasts of Population and Households, Environment and Planning A, Vol. 17 (3), pp. 355–371.
Feuter, H. (1991), Voorlopers bij Demografische Verandering, NIDI Report 22, NIDI: The Hague.
Vos, S., and A. Palloni (1989) Formal Models and Methods of Kinship and Household Organization, Population Index, Vol. 55 (2), pp. 174–198.
Doe (1988), Estimates of Numbers of Households in England, the Regions, Counties, Metro-politan District and London Burroughs, Department of the Environment: London.
Ferment, B. (1986), De Invloed van Economische Factoren op de Huishoudensvorming, Strategisch Marktonderzoek: Delft.
Ferment, B. (1990), The Influence of Economic Factors on Household Formation. In: R. Cliquet, G. Dooghe, J. de Jong Gierveld and F. van Poppel (eds.) Population and Family in the Low Countries VI, NIDI CBGS Publications 18, NIDI: The Hague.
Goetgeluk, R., P. Hooimeuer and F. Dieleman (1990), Household Formation and Access to Housing, mimeographed, Faculty of Geographical Sciences, Utrecht University.
Harsman, B., and F. Snickars (1984), A Method for Disaggregate Household Forecasts, Tijdschnft voor Economische en Sociale Geografie, Vol. 74 (4), pp. 282–290.
Haurin, D., P. Hendershot and D. Kuvt (1991), The Impact of Real Rents and Wages on Household Formation, Working Paper, Centre for Real Estate Education and Research, Ohio State University.
Heida, H. (1991), Het PRIMOS Huishouden Model: Aanpassing en Uitbreiding, Ministerie van VROM: The Hague.
Heida, H., and H. Gordun (1985), PRIMOS Huishoudensmodel, Ministerie van VROM: The Hague.
Heida, H. and H. DEN Otter (1988), QUATRO: Modellen voor de Vooruitberekening van de Woningvraag naar Type en Grootte, INRO/TNO: Delft.
Hooimeuer, P., and M. Linde (1988), Vergnjzing, Individualisering en de Woningmarkt, Ph.D. Thesis, Faculty of Spatial Sciences, Utrecht University.
Keilman, N.W. (1985), Internal and External Consistency in Multidimensional Population Projection Models, Environment and Planning A, Vol. 17, pp. 1473–1498.
Hooeilman, N.W. (1988), Dynamic Household Models. In: N. Keilman, A. Kuusten and A. Vossen (eds.) Modelling Household Formation and Dissolution, Clarendon Press: Oxford.
Kemman, N.W. (1990), Uncertainty in National Population Forecasting: Issues, Backgrounds, Analyses, Recommendations, Swets and Zeitlinger: Amsterdam/Lisse.
Klaus, J. and P. Hooimeuer (1993), Inkomen en Ouderschap: een Longitudinale Analyse, Supplement bij de Sociaal-Economische Maandstatistiek, 1993 /4, pp. 15–24.
Leering, D. and W. Relou (1991), De Schatting van de Basismatrix, INRO/TNO: Delft.
Mulder, C.H. (1993), Migration Dynamics: A Life Course Approach, Thesis Publishers: Amsterdam.
Rima, A., and L. van Wissen (1987), A Model of Household Relocation, Ph.D. Thesis, Vrije Universiteit Amsterdam.
Kaa, D. (1987), Europe’s Second Demographic Transition, Population Bulletin, Vol. 42 (1).
Fulpen, J. (1985), Volkshuisvesting in Economisch en Demografisch Perspectief, Staatsuitgeverij: The Hague.
Imhoff, E. (1992), A General Characterization of Consistency Algorithms in Multi-dimensional Demographic Projection Models, Population Studies, Vol. 46 (1), pp. 159–169.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1995 Springer Science+Business Media New York
About this chapter
Cite this chapter
Hooimeijer, P., Heida, H. (1995). Household Projections and Housing Market Behaviour. In: van Imhoff, E., Kuijsten, A., Hooimeijer, P., van Wissen, L. (eds) Household Demography and Household Modeling. The Plenum Series on Demographic Methods and Population Analysis. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-5424-7_13
Download citation
DOI: https://doi.org/10.1007/978-1-4757-5424-7_13
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-3251-8
Online ISBN: 978-1-4757-5424-7
eBook Packages: Springer Book Archive