<p>The study draws on secondary data from the Bureau of Statistics in Lesotho. Simple and multiple linear regression models techniques are used to analyze the relationship between the GDP of Lesotho and the GDP of manufacturing. The secondary data is analyzed using Statistical Packages for Social Sciences (SPSS) and Excel. The major finding is that there exists a strong positive linear relationship ( r = 0.986) between the GDP of Lesotho and the GDP of manufacturing. This means that every time the GDP of manufacturing increases the GDP of Lesotho does the same. Based on this finding, the study recommends that in order to improve, sustain and maintain the economic growth and to avoid further deterioration in the manufacturing industry, the manufacturing capacity must be strengthened for it to effectively deal with growing competition and rapid economic changes.</p>

What is the total, summarized effect of immigration? Up to this date researchers have found both small positive effects and small negative effects for the same variable (e.g. wages or unemployment). As far as I know no one has yet focused on the total effect. With panel data on a bundle of variables for 22 OECD countries between 1970-2007, using multiple regression analysis I will estimate each variable individually and add together the signs of the effects to one combined sign (+/-/0). I find that the total, summarized effect of immigration tends to be slightly positive for OECD destination countries (under my assumptions).

This thesis investigates the determinants of Taiwan’s import changes and the underlying factors of the decreasing Swedish export to Taiwan between 1994 and 2005. The empirical study includes 36 countries from both the Pacific Rim and OECD. Based on a modified gravity model of trade, the regression model aims to examine how GDP growth in the exporting country, exchange rate changes, common language, and membership in APEC affect Taiwan’s import volume. The result shows estimates with expected signs, with 49.8 percent of the vari-ance in Taiwan’s changed import volume explained by the exogenous variables. Exchange rate change and language are statistically significant. Data on commodity groups of importance for Sweden and Taiwan are also ex-amined, and they show that Taiwan has changed its import demand and has started to import goods other than those Sweden in previous years strongly exported to Taiwan. Taiwan’s regional trading partners have also gained export shares at the expense of Swedish exports. The results are in line with theory and it will be hard for Sweden in the future to compete with the increasing regional trade of East Asia where common lan-guage and culture are of big importance.

This study focuses on the female labor force participation rate (LFPR). Cross-country fixed effect analysis of fifty-six countries shows that female LFPR increases with income and education level. Moreover, average schooling years for males is a good fit for female LFPR especially in the low income countries with low education level. Average schooling years for females is a good fit for female LFPR especially in the high income countries with high education level. Higher female tertiary enrollment ratio is significant for higher female LFPR. On the other hand, Turkey has a lower level of female LFPR than the predicted level. Low female education explains the lower female LFPR of Turkey than the countries with similar income level. However, female LFPR has a declining trend in time even if income and education level improves. Institutional background of Turkey indicates the negative impact of urbanization on participation rates. However, under different growth and education scenarios, Turkey can reach higher levels until 2030. Employment policies especially focused on higher education is essential to reach the targets.

The purpose of this thesis is to identify a general model to forecast GDP growth for the Baltic States, Estonia, Latvia and Lithuania. If the model provides reliable results for these states, then the model should be able to forecast GDP growth for other countries of interest. Forecasts are made by using a reduced vector autoregressive (VAR) model. The VAR models make use of past values of Gross Domestic Product-Inflation-Unemployment as explanatory variables. The performed forecasts have provided good results for horizons up to t+8. The forecasts for 2009 (t+12) are in line with those of several other actors. It is reasonable to assume that some of the forecasts for t+16 have reliable results. The Lithuanian forecast show a fall in GDP with 12.51 per cent in 2009 and a GDP growth of 4.23 per cent in 2010. The forecast for Estonia show that the GDP will decrease with 1.49 per cent in 2009 and 12.72 per cent in 2010. Finally the forecast for Latvia show a fall in GDP of 3.1 per cent in 2009 and 18 per cent in 2010. From the findings it is possible to conclude that the model provided reliable estimates of future levels of GDP for the Baltic States and the benchmark countries. This indicates that the model should be applicable on other countries of interest.

The purpose of this dissertation would be to find the relationship between CO2 emission and GDP. We found that in case of the majority of countries the CO2 emission is related to national income and follows an inverted-U shaped curve. In our analysis we used the regression technique on 139 countries within the time period 1985-2004 to model and analyze the mentioned relationship and define the variables, that describe it. As it will be proved, Environmental Kuznets Curve validate the model and our hypothesis confirm other researches, therefore the inverse-u relationship proves to be correct.

Most macroeconomic activity series such as Swedish GDP growth are collected quarterly while an important proportion of time series are recorded at a higher frequency. Thus, policy and business decision makers are often confront with the problems of forecasting and assessing current business and economy state via incomplete statistical data due to publication lags. In this paper, we survey a few general methods and examine different models for mixed frequency issues. We mainly compare mixed data sampling regression (MIDAS) and state space dynamic factor model (SS-DFM) by the comparison experiments forecasting Swedish GDP growth with various economic indicators. We find that single-indicator MIDAS is a wise choice when the explanatory variable is coincident with the target series; that an AR term enables MIDAS more promising since it considers autoregressive behaviour of the target series and makes the dynamic construction more flexible; that SS-DFM and M-MIDAS are the most outstanding models and M-MIDAS dominates undoubtedly at short horizons up to 6 months, whereas SS-DFM is more reliable at long predictive horizons. And finally we conclude that there is no perfect winner because each model can dominate in a special situation.

Purpose/aim The purpose of the research is to analyze the relationship between water pollution (WP) and the economic development in China. We found a vicious cycle that at the same time as China’s economy has developed; the WP has become the focus of attention, and has also caused huge economic losses. Faced with this situation, this topic is really worth to study. Design/methodology/approach The research adopted a quantitative methodology for the exploration, and conducted a survey through questionnaires which were answered by different people. These respondents come from four areas in China. After having conducted the survey, we selected three typical provinces as representative for each area, and surveyed the basic information about these places. The sample information was calculated by the Chi-square test. The results will be analyzed together with the findings below. Findings The findings indicated that through an analysis of GDP, population, the economic development level and the degree of WP, there is relationship between economic development and WP. When people ignore the problem of WP, and just focus on the economy, the relationship shows that the more developing of economy, the more serious the WP becomes. Originality/value The original idea in our dissertation is to discuss the relationship between economic development and WP in China. The water problem and economic development form a vicious circle. And it seriously affects the whole China. The study has a value for the improvement of the environmental awareness of all the people in China, and advocates the government to develop the economy, and at the same time protect the water sources.

This thesis examines whether urbanization affects GDP per capita positively in Sub-Saharan Africa. Further investigations are done to study how the size of the prime city affects GDP per capita, as well as how the prime city as a percentage of urban population interacts with GDP per capita. The results show that urbaization and GDP per capita interact positively - that is, increase in urbaization increases GDP per capita. We also find that size of the prime city as a percentage of total population is insignificant, though we do see that when the degree of centrality ( measured by prime city as a percentage of urban population) increases there is a negative impact on GDP per capita. This would suggest that while urbaization is economically positive for the region, concentrated urbaization can dampen the effect.

ABSTRACT Title The Effect of Macroeconomic Variables on Market Premium. Study of Sweden, Germany and Canada Authors Samira Allahyari Westlund Arad Tahmidi Dmytro Sheludchenko Supervisor Christos Papahristodoulou Key words Macroeconomic, market risk premium, GDP, inflation, money supply, primary net lending and net borrowing, regression analysis. Institution Mälardalen University School of Sustainable Development of Society and Technology Box 883, SE-721 23 Västerås Sweden Course Bachelor Thesis in Economics (NAA 301), 15 ECTS Problem statement Risk premium value is of great interest to the financial world, since this value represents the extra return that investors receive considering the risk from investing in financial markets. The fluctuations in stock markets are believed to be influenced by changes in macroeconomic variables. Purpose The purpose of this paper is to analyze the effect of macroeconomic variables on and their relation to market risk premium in Canada, Sweden and Germany in the years 1992 – 2007. Method Multiple Regression Analysis, Ordinary Least squares (OLS) Result Forecasted Growth in real GDP is the only macroeconomic variable which has significant relation with market risk premium. The effect of money supply was found to be insignificant. Net lending and net borrowing had significant negative effect on market risk premium in Canada, whereas in Germany and Sweden the relationship was not significant.