<abstract xmlns="http://www.w3.org/1999/xhtml">When compared to mature housing markets, little has been done to understand the nature of demand on emerging housing markets in Central and Eastern Europe and to develop testable models for post-socialist economies. With the exception of B<sc>azyl</sc> 2009 and G<sc>łuszak</sc> 2010, there is hardly any econometric evidence on factors behind housing tenure choices in Poland. The article focus mainly on: permanent (and current) income, household structure, lifecycle, and differences between local market characteristics. In the research, multinomial logistic regression is used to analyze factors that increase the probability of young households becoming homeowners.The major objectives of the study are:
<list list-type="ordered"><label>
1)
</label><list-item>
estimation of housing demand at household level,
</list-item><list-item><label>
2)
</label>
discussion of factors increasing the probability of becoming homeowner,
</list-item><list-item><label>
3)
</label>
discussion of advantages and limitations of using classical qualitative response models to estimate housing demand.
</list-item></list>The research is based on latest European Union Statistics on Income and Living Conditions (EUSILC) 2007-2010 dataset (panel of approx. 4,500 households).</abstract>

When compared to mature housing markets, little has been done to understand the nature of demand on emerging housing markets in Central and Eastern Europe and to develop testable models for post-socialist economies. With the exception of Bazyl 2009 and Głuszak 2010, there is hardly any econometric evidence on factors behind housing tenure choices in Poland. The article focus mainly on: permanent (and current) income, household structure, lifecycle, and differences between local market characteristics. In the research, multinomial logistic regression is used to analyze factors that increase the probability of young households becoming homeowners.The major objectives of the study are:

1)

estimation of housing demand at household level,

2)

discussion of factors increasing the probability of becoming homeowner,

3)

discussion of advantages and limitations of using classical qualitative response models to estimate housing demand.
The research is based on latest European Union Statistics on Income and Living Conditions (EUSILC) 2007-2010 dataset (panel of approx. 4,500 households).

Multinomial Logit Model Of Housing Demand In Poland

Department of Economics for Real Estate and Investment Process, Cracow University of Economics

Real Estate Management and Valuation

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Multinomial Logit Model Of Housing Demand In Poland"}

When compared to mature housing markets, little has been done to understand the nature of demand on emerging housing markets in Central and Eastern Europe and...

Multinomial Logit Model Of Housing Demand In Poland

Publié en ligne: 04 avr. 2015

Pages: 84 - 89

DOI: https://doi.org/10.1515/remav-2015-0008

© Michał Głuszak

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.