The purpose of this thesis is to investigate further whether oil price has an effect on house price inflation and additionally if it has a link to house price turning points. The methodology is grounded on the previous research paper made by Breitenfellner et al. (2015). The results are based on quarterly data from the countries; Finland, Denmark, Norway and Sweden through the time span of 1990-2018. A linear fixed regression model was performed including the explanatory variables of monetary policy and credit developments, macroeconomic fundamentals, housing market variable and demographic variables. Secondly, a logit model was used to identify a relationship between oil price and house price turning points. The model used misalignment made from GDP per capita and real interest rate. The empirical analysis confirms that there is a positive relationship between oil prices and house price inflation. This evidence contradicts a major share of previous research papers (see Bernanke, 2010; Kaufmann et al., 2011). However, there are also some previous papers (see Yiqi, (2017); Antonakakis et al., 2016) and theoretical linkages in line with a positive correlation. Concerning, the oil price and house price inflation no empirical significance was found regarding their relationship. For future research, one could include regional aspects for the purpose of controlling for geographical differences.

The Swedish housing market has been subject to extensive attention in the media recently, and the existence of a housing bubble has been questioned. The purpose of this thesis is to analyse the Swedish housing market to investigate if there are reasons to believe that the market is overvalued. The current situation in the housing market will be compared to the United States market prior to the crash of 2007. The models that are used in the paper is the house price-to-income, price-to-rent and imputed rent-to-rent. Other fundamental factors such as rent control, household debt, interest rates, and other policies effecting the housing market will be discussed. The main findings indicate that the Swedish housing market in 2010 is overvalued, however one has to consider that there are limitations to these models such as the extra benefits of owning a house compared to renting.

The Swedish housing market has been subject to extensive attention in the media recently, and the existence of a housing bubble has been questioned. The purpose of this thesis is to analyse the Swedish housing market to investigate if there are reasons to believe that the market is overvalued. The current situation in the housing market will be compared to the United States market prior to the crash of 2007. The models that are used in the paper is the house price-to-income, price-to-rent and imputed rent-to-rent. Other fundamental factors such as rent control, household debt, interest rates, and other policies effecting the housing market will be discussed. The main findings indicate that the Swedish housing market in 2010 is overvalued, however one has to consider that there are limitations to these models such as the extra benefits of owning a house compared to renting.

Flooding of residential property is a real and growing phenomenon in the UK causing short and long-term detriment of various kinds to its victims. The issue of potential decrease in value of those properties which are located on the floodplain, though much discussed in the media, has received scant attention in the UK research literature. An extensive literature survey has revealed a need for methodological innovation in the field of temporal impact of flooding and the inadequacy of the current paradigms for inclusion of insurance into flood modelling. A wide-ranging review of data sources, including discussion with industry experts, has identified the requirement to generate primary data on the availability and cost of flood insurance. A novel framework has been developed for this research. This framework is an extension of the recent research in flood modelling and incorporates ideas from the wider house price analysis literature. Data collected via a questionnaire survey of householders has been combined with secondary data on property prices and flood designation in order to attribute any loss in property value to the correct vector of underlying flood status. The output from this study makes a contribution to the understanding of the impact of flooding on house prices, allowing for better valuation advice. Empirical findings are that the understandable concerns of residential property owners at risk of flooding regarding long term loss of property value are largely unfounded. Price discounts are observed for some recently flooded areas but they are temporary Improved appreciation of the impact of claims and flood risk on the cost of insurance has also emerged. The insurance market was not found to be instrumental in reducing the price of property. The output from the study also makes a methodological contribution in extending concepts relating to the relationship between flooding, insurance and house prices. This development is anticipated to facilitate refinement and updating of the empirical findings with reduced effort in the light of future events.

Real estate remains to be a major component of wealth for households as the market value of houses continues to rise noticeably again, as before the global recession 2007. Understanding households’ responses to changes of house prices and interest rates is important as fluctuations of these kind affect their preferences of saving. This thesis examines the impact of house price- and interest rate changes on household savings with the usage of secondary panel data from seven European countries. Providing a definite estimation of the interest elasticity of saving for households is not conceivable with any confidence considering the difficulties in estimating differential behavior. In accordance to previous studies the result of house prices is significant negative regarding household savings. However, the repo rate contradicts earlier results with a significant negative correlation toward household savings indicating an increased confidence due to a behavioral shift. In conclusion, this study shows that internal effects are of great importance as several factors suffer from high internal impact.

The earned income differ across municipalities in Sweden, where Stockholm is the location with the highest average earned income. One can ask whether this is depending on higher educational attainment, the disparity in population size and house prices. This paper aims to explain which parameter affects the income disparities between large and small cites. Using data from Statistics Sweden between the years 1991-2017. The above-mentioned topics are used in the three statistical models; Ordinary Least Squares, Pooled OLS, and Fixed-Effects. From this analyze, this paper can conclude that human capital is essential to explain earned income disparities. The discussion part includes limitations of the dataset and its consequences depending on geographical choice. Another exciting explanation of earned income differences is mentioned in the discussion, namely happiness level in each region.

This dissertation consists of three independent chapters, each of which use microeconomic data and methods to inform an analysis of macroeconomic models and questions. The first two chapters study the short-run dynamics of housing markets, while the last chapter studies fluctuations in labor markets. / Economics

The historical long-term volatility and return on investment in single-family dwellings was investigated and compared with investments in equity, bonds and T-bill markets. Total return index for equity and fixed-income security indices were obtained from available sources, of course, a proper index for measurement of long-term changes in house prices was unavailable. In an effort to measure the house price changes, a relatively homogeneous pool of houses in the downtown Toronto area was selected and its price tracked over the study period of 44 years. Inflation rate affects the return of investments in everything similarly therefore this was not considered in the calculations. Results of comparing the investment of cash in one's family home versus in other investment vehicles showed that the ratio of investment growth to its volatility for a single-family house exceeded the ratios for other investments by a large margin.

The historical long-term volatility and return on investment in single-family dwellings was investigated and compared with investments in equity, bonds and T-bill markets. Total return index for equity and fixed-income security indices were obtained from available sources, of course, a proper index for measurement of long-term changes in house prices was unavailable. In an effort to measure the house price changes, a relatively homogeneous pool of houses in the downtown Toronto area was selected and its price tracked over the study period of 44 years. Inflation rate affects the return of investments in everything similarly therefore this was not considered in the calculations. Results of comparing the investment of cash in one's family home versus in other investment vehicles showed that the ratio of investment growth to its volatility for a single-family house exceeded the ratios for other investments by a large margin.

This diploma thesis describes the methods of valuation by using cost valuation method for family houses. The thesis defines the basic concepts from this field, methods of valuation and helps to create individual calculations. The main goal of this work is the valuation of five family houses by two cost valuation methods, their comparison and evaluation of the degree of difference between the methods. In order to achieve this goal, it is necessary to ascertain the total cost differences of individual constructions and equipment with the help of an itemized budget and by following the valuation order of the Ministry of Finance, compare the results and call attention to possible shortcomings of a given method.