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Housing allowances, mobility and crowded living: the Norwegian case

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Abstract

Housing allowances should enable economically weak households to accommodate in good quality housing. Utilizing a special feature of the Norwegian housing allowance system, we study how housing allowances affect the incidence of crowded living and mobility. We investigate housing market behavior in a treatment group in a situation in which variations in housing situation feeds directly into variations in the amount of housing allowances received. This is compared to the behavior of a control group in a situation where variations in the housing market behavior do not feed into variations of the amount of housing allowances received. Our empirical analyses reveal that the probability of moving out of crowded housing conditions is 14 % higher among housing allowance receivers whose amount of housing allowances is affected by marginal variations in the pre-allowance housing expenses, than in the control group. The findings of this paper could have implications for the way housing allowance systems is designed and revised.

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Notes

  1. For public tenants the housing allowances cover 80 % of an increase of the rent up to the ceiling. In this paper we do not distinguish between marginal prices of 0.2 and 0.3.

  2. Obviously, households who passes through the ceiling from above or below as a result of a move will have an average marginal price somewhere between 0.3 (or 0.2) and one. We base our empirical analyses on the marginal price around the initial housing expenses rather than on this average marginal price.

  3. By the end of 2014 the value of 1 Euro was approximately 9.00 NOK.

  4. Admittedly some local housing markets cross municipal borders. By omitting all moves between municipals we get rid of all long-distance moves, but we miss some observations of within local-housing-market moves.

  5. Using this specification one avoids the problems of interpreting interaction terms in a non-linear model, Norton et al. (2004).

  6. Note that while the marginal effect of facing a high marginal price in a model which did not take account of the correlation of the mechanism that generates crowded living subsequent to a move and the selection into crowdedness prior to a move is as high as 14.1 % points, while the estimate from our selection model is ‘only’ 6.6 % points.

References

  • Aarland K. (2010). Housing quality. In Sandlie H.C. (Ed) Bolig og Levekår i Norge 2007, Nova Report 2/2010.

  • Bergh, Andreas. (2005). On the counterfactual problem of welfare state research: How Can we measure redistribution? European Sociological Review, 21(4), 345–357.

    Article  Google Scholar 

  • Enström Öst, C (2012), Housing allowance, housing consumption and lock-in effects, Working Paper 2012:3, Swedish Social Insurance Inspectorate.

  • Eriksen, M. D., Ross, A. (2012). The impact of housing vouchers on mobility and neighbourhood attributes, Real Estate Economics, Forthcoming.

  • Fack, G. (2006). Are housing benefits an effective way to redistribute income? Evidence from a natural experiment in France. Labour Economics, 13(6), 747–771.

    Article  Google Scholar 

  • Fallis, G. (1990). The optimal design of housing allowances. Journal of Urban Economics, 27, 381–397.

    Article  Google Scholar 

  • Gibb, K. (1995). A housing allowance for the UK? Preconditions for an income-related housing subsidy. Housing Studies, 10, 517–532.

    Article  Google Scholar 

  • Gibbs, I., & Kemp, P. (1993). Housing benefit and income-redistribution. Urban Studies, 30(1), 63–72.

    Article  Google Scholar 

  • Hanushek, E. A., & Quigley, J. M. (1978). An Explicit model of intra-metropolitan mobility. Land Economics, 54(4), 411–428.

    Article  Google Scholar 

  • Hills, J. (2001). Inclusion or exclusion? The role of housing subsidies and benefits. Urban Studies, 38, 1887–1902.

    Article  Google Scholar 

  • Kan, K. (1999). Expected and unexpected residential mobility. Journal of Urban Economics, 45, 72–96.

    Article  Google Scholar 

  • Kangasharju, A. (2010). Housing allowance and the rent of low-income households. Scandinavian Journal of Economics, 112(3), 595–617.

    Google Scholar 

  • Kemp, P. (Ed.). (2007). Housing allowances in a comparative perspective. Bristol: Policy Press.

    Google Scholar 

  • Koning, R. H., & Ridder, G. (1997). Rent assistance and housing demand. Journal of Public Economics, 66, 1–31.

    Article  Google Scholar 

  • Lindbom, A. (2010). Media news evaluation and welfare retrenchment: The untransparent cutbacks of the housing allowance. Scandinavian Political Studies, 33(3), 207–223.

    Article  Google Scholar 

  • Maddala, G. S. (1983). Limit-dependent and qualitative variables in econometrics. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Mood, C. (2010). Logistic regression: Why We cannot do what we think we can do. And what we can do about it. European Sociological Review, 26(1), 67–82.

    Article  Google Scholar 

  • Murray, Michael P. (1994). How inefficient are multiple in-kind transfers? Economic Inquiry, 32(2), 209–227.

    Article  Google Scholar 

  • Nordvik, V. (2012). Old age pensioners in public housing, housing allowances and distribution, Paper presented at the Housing Economics Workshop in Vienna Feb 2012.

  • Nordvik, V., & Åhrén, P. (2005). The duration of housing allowance claims and labour market disincentives: The Norwegian case. European Journal of Housing Policy, 5(2), 131–147.

    Article  Google Scholar 

  • Nordvik, V., & Sørvoll, J. (2014). Interpreting housing allowances: The Norwegian case. Housing Theory and Society, 31(3), 353–367.

    Article  Google Scholar 

  • Norris, M., Healy, J., & Coates, D. (2008). Drivers of rising housing allowance claimant numbers: Evidence from the Irish private rented sector. Housing Studies, 23(1), 89–109.

    Article  Google Scholar 

  • Norton, E. C., Wang, H., & Ai, C. (2004). Computing interaction effects and standard errors in logit and probit models. The Stata Journal, 4(2), 103–116.

    Google Scholar 

  • Shroder, M. (2002). Does housing assistance perversely affect self-sufficiency? A review essay. Journal of Housing Economics, 11, 381–417.

    Article  Google Scholar 

  • Steele, M. (2001). Housing allowances in the US under section 8 and in other countries: A Canadian perspective. Urban Studies, 38, 81–103.

    Article  Google Scholar 

  • Susin, S. (2002). Rent vouchers and the price of low-income housing. Journal of Public Economics, 83, 109–152.

    Article  Google Scholar 

  • Turner, B., & Elsinga, M. (2005). Housing allowances: finding a balance between social justice and market incentives. European Journal of Housing Policy, 5(2), 103–109.

    Article  Google Scholar 

  • Venti, S. F., & Wise, D. A. (1984). Moving and housing expenditure: Transaction costs and disequilibrium. Journal of Public Economics, 23, 207–243.

    Article  Google Scholar 

  • Whitehead, C., Gibb, K., Stephens, M. (2005). Evaluation of English housing policy 19752000theme 2 finance and affordability, Office of the Deputy Prime Minister.

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Nordvik, V. Housing allowances, mobility and crowded living: the Norwegian case. J Hous and the Built Environ 30, 667–681 (2015). https://doi.org/10.1007/s10901-015-9439-4

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