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The consequences of immigration have been heavily discussed by researchers, economists, politicians and people in general. The existing literature regarding immigration and its impact on the economy is divided and looked upon through different perspectives. Therefore, it could be said that immigration and its economic impact on the host country is a controversial subject. The purpose of this study is to analyse the impact of immigration on the European OECD countries economy by looking at the unemployment rate and GDP per capita for two different time periods, those being 1985-2000 and 2006-2016, to see the effect of each time period and to compare the waves of immigration. The methodology used is a fixed effect regression. The results obtained were in line with the existing theory showing a positive impact or no impact at all of immigration on the unemployment rate and GDP per capita, but shared different results across time.

This thesis will determine the factors that have affected the economy in the countries from ex-Yugoslavia. A couple of regression analyses will test the correlation between GDP Growth or GDP per Capita and twelve independent variables. The analyses tell us that high import ratio, low inflation and not being in an intrastate war are associated with high GDP Growth, where high political rights, being a member of the European Union or having a status as a Candidate Country are associated with high GDP per Capita. The explanation for the different result might be the catch up effect.

This paper investigates the impact of trade openness on economic growth through a panel analysis containing a set of 61 countries over 15 years. The method we use is the fixed effect regression model in Stata, to see whether openness to trade has explanatory power over GDP per capita growth. We use secondary data taken from World bank and Worldwide Governance Indicators. The data used is a panel data containing 61 countries and the period we are studying starts at 2002 and ends in 2016, a 15 years' time interval. Our empirical results suggest that openness during these years have had a small negative impact on growth, but although this, the variable does not seem to have a statistical significance upon per capita growth within this period of time. Therefore, with reference to this study we cannot see any significance of openness upon growth.

This paper estimates the income elasticity of government pharmaceutical spending and assesses the simultaneous effect of such spending on gross domestic product (GDP). Using a panel dataset for 136 countries from 1995 to 2006, we employ a two-step instrumental variable procedure where we first estimate the effect of GDP on public pharmaceutical expenditure using tourist receipts as an instrumentforGDP. In the secondstep,weconstructanadjusted pharmaceutical expenditure series where the response of public pharmaceutical expenditure to GDP is partialled out and use this endogeneity adjusted series as an instrument for pharmaceutical expenditure. Our estimations show that GDP has a strong positive impact on pharmaceutical spending with elasticity in excess of unity in countries with low spending on pharmaceuticals and countries with large economic freedom. In the second step, we find that when the quantitatively large reverse effect of GDP is accounted for, public pharmaceutical spending has a negative effect on GDP per capita particularly in countries with limited economic freedom.

Despite the growing literature on financial development-economic growth nexus, there exists a paucity of empirical studies that explore the impact of financialisation on economic growth while focusing on the competitiveness of the financial sector. This study examines the revealed comparative advantages of 34 developing African countries from the period 2008 to 2017 and goes further to determine the impact of the revealed comparative advantage indices on economic growth. Revealed comparative advantage is used as an alternative proxy to financialisation, while economic growth is measured in terms of GDP per capita. In order to determine the impact, a panel study approach was followed, using a multiple linear regression model. The study produces two findings. Firstly, we find that the majority of African countries do not reveal a comparative advantage in financial services. This finding confirms our expectation. Secondly, we find that there exists a negative and significant relationship between financialisation and economic growth. The findings suggest that as developing countries in Africa gain comparative advantages in financial services, those gains have a detrimental impact on their economic growth. Informed by the findings of this study, which have implications for financial market development in Africa, the main recommendations are firstly that regulators need to play their part in reducing the cost of business for financial services institutions—particularly compliance costs, so as to encourage competition and development in the financial services sector, without compromising their responsibility to protect consumers. Secondly, better insights regarding cross-border trading and its impact on economic growth, profitability and the accumulation of foreign currency reserves need to be gained, in order to come up with more conducive regulatory frameworks that do not result in penalties for local firms, rendering them uncompetitive relative to foreign firms. Additionally, management at financial institutions have the responsibility of ensuring that benefits derived from their cross-border business go beyond shareholder value, but that reinvestment into the real economy takes place either through increased lending or equity investments and should also ensure that sufficient investments are made into the infrastructure required to increase the institution's competitiveness. Finally, Government and regulators needs to pay attention to how cross-border financial transactions are taxed, especially considering the new era of FinTech's, cryptocurrencies, and deepening regional integration, while at the same time ensuring that there is greater depth, bread and liquidity of their local financial markets.

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This study aims to investigate the relation between foreign direct investment (FDI) and per capita gross domestic product (GDP) in Pakistan. The study is based on a basic Cobb-Douglas production function. Population over age 15 to 64 is used as a proxy for labor in the investigation. The other variables used are gross capital formation, technological gap and a dummy variable measuring among other things political stability. We find positive correlation between GDP per capita in Pakistan and two variables, FDI and population over age 15 to 64. The GDP gap (gap between GDP of USA and GDP of Pakistan) is negatively correlated with GDP per capita as expected. Political instability, economic crisis, wars and polarization in the society have no significant impact on GDP per capita in the long run.

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.

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.