Economic

House Price Data Project

4-5 page paper exploring a “big data” style issue

In this project you will be exploring a dataset of house price changes by county starting before the most recent financial crisis. Your goal with this paper is to come up with a thesis explaining why some counties fared better than others and then show support for that theory with outside data and research. This paper will be graded using the Economics Paper Rubric on the Course Page.

You will need to collect the data on house prices from the website linked on Moodle

· Choose your thesis

· Collect a sample

· Find a source for your additional data

· Do a plot / graph / correlation and compare your data with house prices

Website: https://www.washingtonpost.com/graphics/business/wonk/housing/overview/

Example analysis:

What if the house prices that are the worst at bouncing back were the result of strict zoning rules, this could be politically related

Do Clinton favoring cities fare better? (election data from CityLab)

Vote Share for Clinton Line Fit Plot

House Change 2004-2015 0.61599999999999999 0.66600000000000004 0.63700000000000001 0.48699999999999999 0.52 0.68200000000000005 0.623 0.61599999999999999 0.57999999999999996 0.62 0.54 0.76700000000000002 0.57999999999999996 0.57999999999999996 0.62 0.56000000000000005 0.55000000000000004 0.53 0.54 0.56000000000000005 0.05 0.17 -0.08 0.28999999999999998 0.34 0.13 0.11 0.1 0.01 0.08 0.16 0.31 -0.03 -0.17 0.37 0.01 0 0.06 0.32 0.16 Predicted House Change 2004-2015 0.61599999999999999 0.66600000000000004 0.63700000000000001 0.48699999999999999 0.52 0.68200000000000005 0.623 0.61599999999999999 0.57999999999999996 0.62 0.54 0.76700000000000002 0.57999999999999996 0.57999999999999996 0.62 0.56000000000000005 0.55000000000000004 0.53 0.54 0.56000000000000005 0.12053911672796662 0.12286897486242089 0.12151765714443741 0.11452808274107462 0.11606578910981444 0.12361452946544625 0.12086529686679022 0.12053911672796662 0.11886161887115955 0.12072550537872297 0.11699773236359615 0.12757528829401849 0.11886161887115955 0.11886161887115955 0.12072550537872297 0.11792967561737785 0.117463703990487 0.11653176073670529 0.11699773236359615 0.11792967561737785

Vote Share for Clinton

House Change 2004-2015