ECO 100 Strayer University Principles of Economics and Macroeconomics Case Study
Question Description
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Macroeconomics Case Study
Instructions
In this exercise, you will demonstrate your ability to findmacroeconomic data from public sources and to display it in an Excelspreadsheet.
- Start by choosing one of these three macroeconomic variables: Real GDP, the unemployment rate, or the inflation rate.
- Follow these instructions to find numbers for your macroeconomic variable for the years 2015, 2016, and 2017.
- Real GDP Select Section 1, then table 1.1.6. Next, select Modify and choose2015-A&Q as the First Year. Under Series, select Annual. TheReal GDP numbers for each year are in Line 1.
- Unemployment rates These numbers are monthly, not annual. Use the January number for each year.
- Inflation rates These numbers are monthly, not annual. Use the January number for each year.
- Prepare an Excel spreadsheet that has twocolumns and four rows. In cell A1 type in the variable you selected andbold the text. In the heading for cell A2, type, Year. In cells A3,A4, and A5 descending below this heading, type the years 2015, 2016, and2017.
- In the heading for cell B3, type the name ofthe variable you chose (Real GDP, Unemployment Rate, or InflationRate). In the cells below this heading, type the values for each of thethree years.
- Underneath your table, type Source: Then paste the URL of the source where you found your data.
Resources to Complete This Assignment
- Week 7 Macroeconomic Case Study with Excel Example [DOCX].
- Excel Essential Training – What is Excel Used For?
- Excel Essential Training – Using the Quick Access Formula Bar.
- Excel Essential Training – Understanding Workbooks and Worksheets.
- Excel Essential Training – Using Excel Help.
- Excel Essential Training – Using Save or Save As.
- Excel Essential Training – Using Simple Formulas.
- Excel Essential Training – Exploring Font Styles and Effects.
- Excel Essential Training – Applying Borders and Color Backgrounds.
- Excel Quick Tips – Work with the New Stock and Geography Data Types.
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