Abstract
This chapter addresses the discrepancy between stated intentions to move and actual mobility behavior. In previous research, two methodologies can be distinguished concerning the linkage between stated intentions and actual behavior: the cross-sectional approach and the longitudinal approach. In this chapter it is argued that a longitudinal research method in which the same group of respondents is followed in time is to be preferred when one wants to gain insight into the relationship between stated intentions to move and actual moving behavior. Using a unique longitudinal data-set in which survey data from the Housing Demand Survey 2002 are enriched with longitudinal register data from the Social Statistical Database (SSD) it is shown how characteristics and circumstances at one point in time hamper or stimulate actual mobility behavior at a later point in time. The longitudinal analysis shows that the extent to which people behave in accordance to their stated intentions to move is mainly affected by the urgency of the intention to move. The underlying triggers for moving and tenure preferences also play a role; particularly those who want to move out of homeownership have a high probability of realizing their intention to move. Furthermore, restrictions that stem from the household and housing career as well as a lack of housing opportunities in the search location may hamper the execution of stated intentions to move. Surprisingly, the realization of stated intentions to move is hardly affected by socio-economic characteristics such as income.
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Notes
- 1.
The total effect is the summation of the main effects and the interaction effect. For example, the total effect for homeowners (1) with a preference to move to a rental home (0): 0.357*(1) + 0.176*(0) – 0.365*(1*0) = 0.357; the corresponding predicted odds ratio is 1.429 (e0.357).
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Acknowledgments
I am very grateful to my two supervisors, Clara Mulder and Dorien Manting, for their highly valuable comments on earlier drafts of this chapter. Furthermore, I would like to thank Frank van Oort for his help with the macro-zoning of regions in the Netherlands, and Statistics Netherlands who allowed us to use data from the Social Statistical Database (SSD). The use of the SSD was possible due to the joint cooperation of Statistics Netherlands and the Netherlands Environmental Assessment Agency.
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Appendix 1 Descriptive statistics of dependent and independent variables in the multivariate analysis for filterers (N = 11730)
Appendix 1 Descriptive statistics of dependent and independent variables in the multivariate analysis for filterers (N = 11730)
Frequency (%) | Of whom moved (%) | |
---|---|---|
Moving behavior (dependent variable) | ||
Did not move within 2 year period | 8,019 (68.4) | |
Moved within 2 year period | 3,711 (31.6) | |
Characteristics of intention to move and housing preferences | ||
Urgency of intention to move | ||
Less urgent intention | 9,281 (79.1) | 25.7 |
Urgent intention | 2,449 (20.9) | 54.3 |
Reason for moving | ||
Demographic event | 1,713 (14.6) | 33.7 |
Housing | 6,129 (52.3) | 31.2 |
Work or education | 859 (7.3) | 33.1 |
Other reason | 3,029 (25.8) | 31.0 |
Preferred tenure | ||
Wish to rent | 5,165 (44.0) | 30.3 |
Wish to own | 6,565 (56.0) | 32.7 |
Preferred type of housing | ||
Wish for apartment | 3,231 (27.5) | 30.8 |
Wish for single family home | 8,499 (72.5) | 32.0 |
Preferred search location | ||
Randstad | 5,485 (46.8) | 30.8 |
Intermediate zone | 3,393 (28.9) | 31.7 |
National periphery | 2,852 (24.3) | 33.1 |
Resources and restrictions | ||
Income | ||
Lowest quartile | 2,646 (22.6) | 30.0 |
Second quartile | 3,272 (27.9) | 29.8 |
Third quartile | 2,914 (24.8) | 32.7 |
Highest quartile | 2,898 (24.7) | 34.1 |
Level of education | ||
Up to lower secondary | 4,414 (37.6) | 28.2 |
Higher secondary or medium vocational | 3,741 (31.9) | 33.0 |
Higher vocational or university | 3,575 (30.5) | 34.5 |
Employment status | ||
Employed | 7,897 (67.3) | 33.3 |
Not employed | 3,833 (32.7) | 28.3 |
Expected household composition | ||
Single | 2,975 (25.4) | 29.2 |
Couple without children | 4,207 (35.9) | 35.7 |
Family with children | 4,548 (38.8) | 29.5 |
Current tenure | ||
Renter | 6,972 (59.4) | 32.4 |
Owner | 4,758 (40.6) | 30.5 |
Other individual and housing characteristics | ||
Age | ||
<25 | 980 (8.4) | 43.7 |
25–34 | 3,959 (33.8) | 38.5 |
35–44 | 2,843 (24.2) | 27.4 |
45–54 | 1,728 (14.7) | 23.6 |
55–64 | 1,133 (9.7) | 21.8 |
≥65 | 1,087 (9.3) | 30.0 |
Ethnicity | ||
Native-born | 9,210 (78.5) | 32.2 |
Non-western immigrant | 1,470 (12.5) | 28.8 |
Western immigrant | 1,050 (9.0) | 30.2 |
Perceived health | ||
Healthy | 9,607 (81.9) | 32.8 |
Reasonably healthy | 1,135 (9.7) | 25.2 |
Less healthy | 988 (8.4) | 27.3 |
Type of home | ||
Apartment | 5,341 (45.5) | 35.6 |
Single family home | 6,389 (54.5) | 28.3 |
Crowding | ||
Crowded | 2,425 (20.7) | 34.4 |
Not crowded | 3,286 (28.0) | 32.8 |
Spacious | 6,019 (51.3) | 29.9 |
Satisfaction with home | ||
Satisfied | 8,224 (70.1) | 30.6 |
Not satisfied or dissatisfied | 1,924 (16.4) | 31.4 |
Dissatisfied | 1,582 (13.5) | 37.4 |
Satisfaction with neighborhood | ||
Satisfied | 7,706 (65.7) | 31.9 |
Neither satisfied nor dissatisfied | 1,715 (14.6) | 29.6 |
Dissatisfied | 2,309 (19.7) | 32.4 |
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de Groot, C. (2011). Longitudinal Analysis. In: Jansen, S., Coolen, H., Goetgeluk, R. (eds) The Measurement and Analysis of Housing Preference and Choice. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-8894-9_10
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