<p>The thesis has as purpose to describe and analyse a decision made be the Swedish tax committee in which it was decided that a cooperative economical associations selling price, which was less than the comparable public bonds market price, would be the focus of a withdrawal tax. There are exceptions from a withdrawal tax, that is if the transaction has a business motivation. However the concept, business motivation, is narrowly interpreted both in the preparatory works and in case law, which makes it irrelevant to the situation at hand. A cooperative economical association is a form of association nearest akin to the limited companies. These types of associations have as purpose to increase their owners wealth with the benefit of freedom from personal responsibility. The work concludes that the purpose and meaning of a withdrawal tax is necessary to secure a consistent legality and neutrality between persons conduction business and persons who do not. However, there is one part of the subject matter that seems to be unreasonable. This thesis will show that the market price taken from the public bond market, is not a legal, neutral or comparable price to estimate the full width of a withdrawal tax.</p>

<p>One of the central issues in international macroeconomics is relative price movements and their sources. One such price is the price of crude oil. An increase in oil price leads to a transfer of income from importing to exporting countries through a shift in terms of trade. The general mechanism by which oil prices affect the economic performance is well under-stood. However, the dynamics of these effects – especially the adjustment to the terms of trade – are uncertain.</p><p>The purpose of this paper is to analyse the impact of an increase in oil price on the terms of trade during the time period 1970 to 2004. The relationship between oil price and world business cycle as well as the relationship between oil price, GWP and Saudi Arabia’s export is also examined in this paper.</p><p>The regression results show that an increase in oil price has a negative impact on terms of trade for the net importing country. Whether an increase in oil price has a positive or no effect at all on terms of trade for the net exporting country cannot be told form the regres-sion results.</p>

<p> </p><p>Buying a house is for most people the biggest investment they will ever make. A lot of factors are taken in to consideration when looking for the perfect house; location, size, what state it is in and so forth. But since most people’s budgets are limited, the price is probably the most important aspect in the decision making process of buying a house. It is therefore highly interesting to note that since 1981, house prices in Sweden have increased with almost 400 percent.</p><p>This thesis examines the relationship between small house prices and macroeconomic factors in the Stockholm region during the period 1991 to 2007. By using macro economic theories complemented by data for all Stockholm’s municipalities in a OLS regression, the thesis will explain how the variables affects the small house prices in a boom, recession and over time.</p><p>The results and analysis reveals that as house prices rises, people tend to increase their spending on interest costs and vice versa if the prices falls. Furthermore, results show that in a boom, an existence of speculation is contributing to the rise while convergence is an important factor in a recession. The most important conclusion from this thesis is the fact that the influence of macroeconomic variables on house prices differs significantly, depending on if the economy is in a recession or a boom. Finally, the influence on the economy that the house- and real estate market possesses cannot be underestimated with its important effect on the credit market, inflation and asset market.</p><p> </p> / <p> </p><p>Husköp är för de flesta människor deras livs största investering och det är därför många faktorer som först måste vägas in varav den viktigaste förmodligen är priset. Huspriserna i Sverige har sedan 1981 nästan fyrdubblats, en utveckling som är mycket kraftigare än inflationen samma tid.</p><p>Den här kandidatuppsatsen avser att undersöka Stockholmregionens småhuspriser åren 1981-2007 och dess relation till makroekonomiska faktorer. Genom att använda en OLS regression med insamlad data för Stockholms alla kommuner och makroekonomiska teorier, visar vi hur utvalda makroekonomiska variabler påverkar småhuspriserna generellt, i hög- samt lågkonjunktur.</p><p>Resultat och analys visar att om småhuspriserna går upp är tenderar Stockholms befolkning att lägga en större del av deras inkomst på räntekostnader och tvärtom när priserna går ner. En psykologisk aspekt har en viktig del i dessa upp och nedgångar, i en uppgång startar en spekulationsperiod då människor vill vara en del ägandet i den uppåtgående husmarknad medans i en nergång skapas en sorts konvergens och en rad faktorer påverkar varandra i en spiralliknande nedåt trend. Denna trend kan förklaras i DiPasquales och Wheatons assets market model där det positiva förhållandet mellan marknader som hyresmarknaden, kreditmarknaden, byggmarknaden och tillgångsmarknaden står i fokus. Den viktigaste slutsatsen i uppsatsen är att makroekonomiska faktorer påverkar småhuspriserna helt olika beroende på om ekonomin är i en hög eller lågkonjunktur. Slutligen bör nämnas hur viktigt hus- och fastighetsmarknaden är för en ekonomi genom dess påverkan på kreditmarknaden och inflationen.</p><p> </p>

Thesis (Ph.D)--Industrial and Systems Engineering, Georgia Institute of Technology, 2009. / Committee Chair: Kleywegt, Anton J.; Committee Member: Ayhan, Hayriye; Committee Member: Dai, Jim; Committee Member: Erera, Alan; Committee Member: Ward, Amy R. Part of the SMARTech Electronic Thesis and Dissertation Collection.

Rapid urbanization is a pressing issue for planners, policymakers, transportation engineers, air quality modelers and others. Due to significant environmental, traffic and other impacts, the process of land development highlights a need for land use models with behavioral foundations. Such models seek to anticipate future settlement and transport patterns, helping ensure effective public and private investment decisions and policymaking, to accommodate growth while mitigating environmental impacts and other concerns. A variety of land use models now exist, but a market-based model with sufficient spatial resolution and defensible behavioral foundations remains elusive. This dissertation addresses this goal by developing and applying such a model. Real estate markets involve numerous interactive agents and real estate with a great level of heterogeneity. In the absence of tractable theory for realistic real estate markets, this research takes a “bottom-up” approach and simulates the behavior of tens of thousands of individual agents based on actual data. Both the supply and demand sides of the market are modeled explicitly, with endogenously determined property prices and land use patterns (including distributions of households and firms). Notions of competition were used to simulate price adjustment, and market-clearing prices were obtained in an iterative fashion. When real estate markets reach equilibrium, each agent is aligned with a single, utility-maximizing location and each allocated location is occupied by the highest bidding agent(s). This approach helps ensure a form of local equilibrium (subject to imperfect information on the part of most agents) along with useroptimal land allocation patterns. The model system was applied to the City of Austin and its extraterritorial jurisdiction. Multiple scenarios reveal the strengths and limitations of the market simulation and available data sets. While equilibrium prices in forecast years are generally lower than observed or expected, the spatial distributions of property values, new development, and individual agents are reasonable. Longer-term forecasts were generated to test the performance the model system. The forecasted households and firm distributions in year 2020 are consistent with expectations, but property prices are forecasted to experience noticeable changes. The model dynamics may be much improved by more appropriate maximum bid prices for each property. More importantly, this work demonstrates that microsimulation of real estate markets and the spatial allocation of households and firms is a viable pursuit. Such approaches herald a new wave of land use forecasting opportunities, for more effective policymaking and planning. / text

published_or_final_version / Business / Doctoral / Doctor of Philosophy

published_or_final_version / Housing Management / Master / Master of Housing Management

published_or_final_version / Housing Management / Master / Master of Housing Management

published_or_final_version / Housing Management / Master / Master of Housing Management

published_or_final_version / Housing Management / Master / Master of Housing Management