<p>Quantile regression have its advantage properties comparing to the OLS model regression which are full measurement of the effects of a covariate on response, robustness and Equivariance property. In this paper, I use a survey data in Belgium and apply a linear model to see the advantage properites of quantile regression. And I use a quantile regression model with the raw data to analyze the different cost of family on different numbers of children and apply a Wald test. The result shows that for most of the family types and living standard, from the lower quantile to the upper quantile the family cost on children increases along with the increasing number of children and the cost of each child is the same. And we found a common behavior that the cost of the second child is significantly more than the cost of the first child for a nonworking type of family and all living standard families, at the upper quantile (from 0.75 quantile to 0.9 quantile) of the conditional distribution.</p>

Inhalt: 1 Einleitung 2 Überblick über den Stand der Forschung 3 Transmissionsmechanismus Vermögenspreise und Investitionen 3.1 Transmission über den Aktienmarkt 3.1.1 q-Kanal 3.1.2 Erwartungskanal 3.1.3 Bilanzkanal 3.2 Transmission über den Immobilienmarkt 3.2.1 Alternativer q-Kanal 3.2.2 Bilanzkanal 3.3 Gesamtwirtschaftliche Investitionsfunktion 4 Modellierung des vermögenspreisinduzierten Investitionseffektes 5 Ökonometrische Methodologie 5.1 Kointegration und Fehlerkorrekturmodell 5.2 Dynamisches OLS nach Stock und Watson 6 Statistische Datenbasis 7 Empirische Ergebnisse 7.1 Empirische Ergebnisse ausgewählter Studien 7.2 Empirische Ergebnisse für Deutschland 7.2.1 Test auf Integration 7.2.2 Investitionsmodelle 7.2.3 Ergebnisse DOLS 7.2.4 Test auf Parameterstabilität 7.2.5 Ergebnisse Impuls-Antwort-Analyse 7.3 Zusammenfassung der empirischen Ergebnisse 8 Geldpolitische Implikationen 9 Zusammenfassung

Quantile regression have its advantage properties comparing to the OLS model regression which are full measurement of the effects of a covariate on response, robustness and Equivariance property. In this paper, I use a survey data in Belgium and apply a linear model to see the advantage properites of quantile regression. And I use a quantile regression model with the raw data to analyze the different cost of family on different numbers of children and apply a Wald test. The result shows that for most of the family types and living standard, from the lower quantile to the upper quantile the family cost on children increases along with the increasing number of children and the cost of each child is the same. And we found a common behavior that the cost of the second child is significantly more than the cost of the first child for a nonworking type of family and all living standard families, at the upper quantile (from 0.75 quantile to 0.9 quantile) of the conditional distribution.

The aim of this master thesis was to examine whether the noticed effect of Black Monday October 1987 on stock market volatility has also influenced the predictive power of the single factor CAPM and the Fama French three factor CAPM, in order to conclude whether the models are less effective after the stock market crash. I have used an OLS regression analysis and a Monte Carlo Simulation technique. I have applied these techniques on 12 industry portfolios with US data to draw a conclusion whether the predictability of the single and three factor model has changed after October 1987. My research confirms that the single factor CAPM performs better before October 1987 and also found evidences that support the same hypothesis of Black Monday effect on the predictive power of the Fama French three factor model.

This study seeks to assess the correlation which exists between exchange rate of Nigerian naira and Unites States dollar and oil price on the basis of monthly data from 1999-2009. The research employ the fundamental variables which were assumed to be the monthly spot crude oil price, monthly exchange rate of Nigeria naira and monthly exchange rate of United States dollar. The empirical result adopted the ordinary least square using regression analysis and also the correlation model which shows that there is a weak/negative relationship between exchange rate and oil price as there are other factors that brings about changes in oil price other than the exchange rate. The activities of cartel pricing policy and oil speculators too have come to greatly affect the price of crude oil, and it will be interesting to examine the impact speculators have on the change in price of crude oil against the normal drivers of crude oil price.

The main purpose of this thesis is to explore whether the Balassa-Samuelson hypothesis can effectively explain the long-term change of the real exchange. The recent panel unit root, panel cointegration tests and fully modified OLS are applied to examine the four tested equations that are based on the Balassa-Samuelson hypothesis. 1. Relative differential productivity between traded and non-traded sectors influences price differential in two sectors. 2. We extend the relative productivity in non-traded and traded sectors causing change in non-traded relative price into the two-country model. 3. The appreciation (depreciation) of the real exchange results from the different relative price of the two-country model. 4. The appreciation (depreciation) of the real exchange is caused by the different relative productivity of the two-country model. The data span is from 1971 to 1995, and includes 12 OECD countries. There are three main different points from the existing literatures. 1. We apply some newly developed panel unit root tests to estimate the equations based on Balassa-Samuelson hypothesis. 2. The previous documents only estimated the model of one variable, but the estimation of two variables was rare. In the equation 14 and 15, we examined the two variables in both. 3. In the calculation of the price, owing to the difficulties of collecting data from various sectors, we use a special way to measure the price. Finally, we can observe from the results of the empirical study: when productivity of the domestic sectors differentiates, that is, 1% increase in relative productivity between traded and non-trade sectors causes 0.53% increase in domestic relative prices. When it is taken into the two-country model, the increase of productivity will cause the appreciation of the real exchange rate. This can explain why in the developed countries like the U.S. and Japan, the faster increase in domestic relative productivity causes the appreciation of real exchange rates in the long run.

The main purpose of this thesis is to explore whether the Balassa-Samuelson hypothesis can effectively explain the long-term change of the real exchange. The recent panel unit root, panel cointegration tests and fully modified OLS are applied to examine the four tested equations that are based on the Balassa-Samuelson hypothesis. The data span is from 1985 to 2002, and includes 7 east asian countries. 1. Relative differential productivity between traded and non-traded sectors influences price differential in two sectors. 2. We extend the relative productivity in non-traded and traded sectors causing change in non-traded relative price into the two-country model. 3. The appreciation (depreciation) of the real exchange results from the different relative price of the two-country model. 4. The appreciation (depreciation) of the real exchange is caused by the different relative productivity of the two-country model. Finally, we can observe from the results of the empirical study: when productivity of the domestic sectors differentiates, that is, 1% increase in relative productivity between traded and non-trade sectors causes 0.28% increase in domestic relative prices. When it is taken into the two-country model, the increase of productivity will cause the appreciation of the real exchange rate.

The price of real estate is the result of economical operation and, most importantly, regulation mechanism of resource distribution for real estate industry. Since the process of economic reform began in 1978, there have been several times that the Chinese government imposed contractive measures intended to slow down the economic growth. This paper applies insights from economic theory to explain recent housing price patterns in China’s four largest metropolitan areas. (Beijing, Shanghai, Shenzhen and Guangzhou) and discusses how the Chinese Government’s stance and policy affect the development of real estate. By examining the degree of impact on the housing market as a result of Macro Control Measures, excluding other housing market drivers; the empirical results revealed the degree of effectiveness by the Chinese Government administrative control over the housing market vary across the regions.

Do men and women receive different pay-offs, in terms of wage, from cognitive skills in the Swedish labor market? To answer this, the classical Mincer equation is expanded with a variable for cognitive skills (literacy and numeracy) and an interaction term between being a male and cognitive skills to be able to distinguish the actual difference in pay-off. I use data from OECD’s PIAAC survey of adult skills, which provides a unique opportunity to examine gender pay-off differences concerning cognitive skills. The results show that men have a larger pay-off than women once occupation is sufficiently controlled for

<p>The aim of this master thesis was to examine whether the noticed effect of Black Monday October 1987 on stock market volatility has also influenced the predictive power of the single factor CAPM and the Fama French three factor CAPM, in order to conclude whether the models are less effective after the stock market crash. I have used an OLS regression analysis and a Monte Carlo Simulation technique. I have applied these techniques on 12 industry portfolios with US data to draw a conclusion whether the predictability of the single and three factor model has changed after October 1987. My research confirms that the single factor CAPM performs better before October 1987 and also found evidences that support the same hypothesis of Black Monday effect on the predictive power of the Fama French three factor model.</p>