A rapid urbanization process facilitated an enormous expansion of the cities and stimulated the development of the urban housing markets in China. The primary purpose of this thesis is to find factors influencing the urban housing prices. Based on the supply and demand theory, I examine housing prices in 95 cities in 2010 related to population growth, wages, manufacturing employment, human capital, pollution, and housing investment using a cross section data analysis. The empirical results indicate that all those factors are significantly related to the housing prices. I focus on population growth, a proxy for the urbanization process, as the core determinant to analyze housing prices in China. In addition, the results also find that cities located in the eastern area have averagely a higher productivity than the ones located in the mid-west, and the higher housing prices in the eastern area are explained by the higher level of population growth and wages.

The Swedish housing market have long been debated for its flaws, inefficiencies and regulations which makes construction expensive and complicated. This have created long queue times for rentals and an ever increasing price level for condominiums, especially in the cities Stockholm, Gothenburg and Malmö. Boverket suggest 558,000 new housing units  eeds to be constructed by 2025 to meet the increasing demand. In this thesis I have applied the standard theory of demand and supply on the Swedish housing market using a standard simultaneous equation model with panel data covering the years 1994 to 2012 over Swedish municipalities. The result shows construction costs have a negative effect on supply while population growth and housing prices have a positive effect. Demand is driven by disposable income and population growth whereas a price of housing has a negative effect. With lower future construction costs housing supply would increase more than if it were to be hold constant. Rising construction cost the coming years would have a negative effect on housing supply.