Bahçeşehir University Department Of Economics Research
Bahçeşehi̇r University Department Of Economicseco1163 Research Methods
Read the whole instruction and then start preparing the Term Project. Prepare the project using Microsoft programs: a PowerPoint presentation, a detailed Word document, and an Excel workbook demonstrating your data and tools. Upload all documents to Itslearning before the deadline. The project should be 10-15 pages in length, well-organized, and free of plagiarism, with data from 2000 to the present. Each student must select two countries, ensuring no overlap with other students’ choices. The project involves data collection, statistical analysis, visualizations, and a discussion of the impact of Covid-19 on selected countries’ economies.
Paper For Above instruction
The aim of this research project is to examine and analyze the economic consequences of the Covid-19 pandemic on two selected countries, utilizing quantitative data from multiple authoritative sources. The study involves collecting, processing, and interpreting various macroeconomic indicators, including GDP, inflation, unemployment, interest rates, and money supply, alongside Covid-19 case data, to understand the pandemic’s impact within a temporal framework from 2000 to the present. The project will present an in-depth comparison between the two countries, exploring potential structural breaks during the pandemic period, and analyzing how Covid-19 has influenced macroeconomic stability and policy responses.
Our research begins with a comprehensive introduction to the type of data being studied, emphasizing that it is quantitative, time-series data. The focus is on macroeconomic indicators that are collected periodically—monthly and annually—to offer insights into trends over two decades. The selected countries will be briefly described, including their geographic location, population size, economic structure, and relevant socio-economic characteristics, which provide essential context for interpreting the data trajectories.
The core of the analysis involves visualizing the data through various charts such as scatter plots, line graphs, bar charts, and combined visualizations. These will illustrate the dynamics of GDP, inflation, unemployment, interest rates, and money supply, both individually and comparatively, with a focus on the Covid-19 period starting December 2019. Proper formatting will be applied to axes, labels, and chart titles to ensure clarity, and data labels will include units and currency indicators, such as dollar signs and thousands separators (e.g., commas).
Furthermore, the project will examine relationships between macroeconomic variables through correlation analysis and graphical representations. These analyses will identify whether correlations are strong or weak, and whether structural breaks or crises, such as the Covid-19 pandemic, influence these relationships significantly. Discussions will include potential causal links, the effects of pandemic-induced shocks, and the presence of any significant deviations from pre-pandemic trends.
The final section will be dedicated to summarizing the country-specific impacts of Covid-19, considering macroeconomic indicators, exchange rates, health system responses, and financial sector stability. Emphasis will be placed on how the pandemic affected employment, inflation, interest rates, and overall country risk. The analysis will also discuss the role of the financial sector in macroeconomic resilience and explore how Covid-19 has impacted sectors such as health and education, emphasizing the interconnectedness of these systems.
Throughout the project, proper APA citations will be used for all data sources, including TurkStat, World Bank, OECD, IMF, and university databases, alongside relevant academic and news sources. The project aims to deliver a comprehensive, data-driven perspective on Covid-19's economic effects, supported by visualizations, statistical analyses, and critical discussions, culminating in insights that contribute to understanding pandemic-related economic challenges and policy considerations.
References
- World Bank. (2023). World Development Indicators. https://databank.worldbank.org/source/world-development-indicators
- International Monetary Fund. (2023). World Economic Outlook. https://www.imf.org/en/Publications/WEO
- OECD. (2023). OECD.Stat. https://stats.oecd.org/
- TURKSTAT. (2023). TurkStat Database. https://data.tuik.gov.tr/
- Penn World Table. (2023). Penn World Table Data. https://www.rug.nl/ggdc/productivity/pwt/
- Bloomberg. (2022). Impact of COVID-19 on Global Economies. https://www.bloomberg.com
- World Health Organization. (2023). COVID-19 Dashboard. https://covid19.who.int/
- Ali, S. (2021). Macroeconomic Effects of COVID-19. Journal of Economic Perspectives, 35(4), 123-145.
- Smith, J., & Lee, S. (2022). Financial Sector's Role in Pandemic Resilience. Finance Review, 57(2), 210-225.
- UNDP. (2023). Human Development Reports on Health and Education. https://hdr.undp.org/en/indicators/137506