2022/2023
The objective of the assignment is to practise the use of SAS for analysing financial data.
1. PROJECT DESCRIPTION:
There are two different options for the topic of the project. Each student can choose one of these topics, according with their preference.
Topic A: Associations between covid-19 and the economy.
This project is about analysing data publicly available in internet, to find associations between covid-19 health crisis/recovery and economic indicators.
The student will find in internet the datasets they will use for the study. A variety of health indicators related to covid-19 can be used (measured as number of positive cases, deaths, hospitalization, vaccination statistics, ...), as well as a variety of economic indicators (stock- index prices or volatility, gdp, unemployment rates, ...). It is important that the health information and the economic indicators are obtained from different sources/databases. Although this topic can be approached using time-series analysis tools, a cross sectional approach is recommended. The student can also decide the granularity of the study (country- level data, local or regional). Typical example of cross sectional analysis includes comparison of different countries in the world, or comparing different regions/cities within a country.
Topic B: Community factors associated with contributions to the electoral campaigns.
This project is about finding associations between community characteristics that might predict or explain the contributions of individuals in such community.
The Federal Election Commission (FEC) is an independent group that monitors campaign finance information. The website www.fec.gov contains information on individual donors. Donations, refunds and transfers data of individual contributions are publicly available at the website. There is Information about several years, you can choose what data to download depending or your research questions.
For this project, the student would need to review the datasets available (FEC data) with data on individual donors. Develop research questions that you find plausible and interesting. The student will look in internet for additional information to research those questions. For example, the United States Census Data webpage (at www.census.gov) can be used, but other sources of information are welcome. I assume the data from FEC will be conveniently aggregated at state, local or regional level in order to address the research questions.
2. Objective and tasks.
Formulate a research or business questions that can be answered with more than one publicly available datasets. Use SAS code to pre-process the datasets (modifications, variable creations, selection of cases, aggregation of cases, merging,...) and to perform appropriate procedures that provide insight into this questions.
The question or the employed methodology does not need to be complicated. The report can have a maximum of three pieces (tables or graphics) where at least one is a table and one is a graphic.
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