Economics 304

URBAN ECONOMICS

Fall 2020
 
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Assignments

| Research Paper | Data Analysis Assignment | Extra Credit |

  • Research Paper

    This involves writing a paper of 10 - 12 typed, double spaced pages. Footnotes and references should be included, if appropriate. You are free to choose any topic that you wish to examine. Click here for some possibilities. This can be an individual or team effort. 

    Deadlines:

    - September 23 - Choose a topic for your research paper

    - November 13 - Paper is due


  • Short Assignments

- Economic Impact Analysis

- Data Analysis


  • Extra Credit

The field of urban economics is immense, and there is not enough time in the class to deal with all its nuances. Students wishing to explore some of these nuances have the opportunity to earn extra credit that would equal up to 6% of the total grade in the class. Anything extra that you do that increases your knowledge of urban economic issues can earn you extra credit. Some possibilities include:

    • Article Summaries (1 - 2% each)

      - Read an article dealing with a topic involving urban economics. Submit a typed summary of up to two pages of the article. Give your opinion of the article’s conclusion, if appropriate. Any article summaries must deal with topics different than that covered in your research paper. Only one person can submit a summary of a particular article. The first person to propose it gets to do it.  You can do one article from an academic journal for 2% and one non-academic article for 1%. 

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    • Public Events (1% each)

- Attend a public event related to urban economics.  Submit a typed report of up to two pages about your experiences, including a reflection and a discussion about how it relates to the subject. 

- USD Just Read! events

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    • Community Service (1% each)

      - Volunteer for an organization dealing with urban problems, e.g., Habitat for Humanity, St. Vincent DePaul’s. Submit a typed report of up to two pages about your experiences including a reflection.

       

    • Data Analysis Assignment (2%)

- Complete the assignment