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In 2008, the world entered the worst recession since the Great Depression of the 1930s. Of course, many people lost their jobs and houses while others became uncertain about their financial future. Use the theory of supply and demand to predict the effect the recession would have on airline demand (the willingness and ability of people to purchase airline tickets), supply (the willingness and ability of airlines to provide flights), and price (the average price of an airline ticket).
The federal government collects and makes an immense amount of data on the US economy available to the public, including large airline datasets. Having made your predictions or hypotheses, use the US airline industry data from the US Bureau of Transportation Statistics (BTS) to see if the industry reacted as you expected.
To obtain the data to test your predictions (hypotheses), find a BTS customizable data table following these steps: 1) Google “Bureau of Transportation Statistics”, 2) use the search box for “Air Traffic”, 3) select “U.S. Air Carrier Traffic Statistics” which will return a customizable table. (Note: The BTS occasionally changes the presentation of the data which affects the steps needed to find data. It may be necessary to modify this search slightly.)
Customize your data by selecting:
Prices are, of course, another piece of this puzzle. BTS provides a table of national fares. To find these data, use the BTS search box for Air Fares. Locate National Level Fares Since 1995. Again, the BTS occasionally changes the database names and files, so you may need to modify this search.
Post your findings and explain your initial predictions.
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