Please use this identifier to cite or link to this item:
http://arks.princeton.edu/ark:/88435/dsp01w0892d95mFull metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Ait-Sahalia, Yacine | |
| dc.contributor.author | Cliff, Lorraine | |
| dc.date.accessioned | 2020-09-25T18:14:52Z | - |
| dc.date.available | 2020-09-25T18:14:52Z | - |
| dc.date.created | 2020-04-30 | |
| dc.date.issued | 2020-09-25 | - |
| dc.identifier.uri | http://arks.princeton.edu/ark:/88435/dsp01w0892d95m | - |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en | |
| dc.title | PREDICTING THE VOTE SHARE OF CANDIDATES IN THE 2020 PRESIDENTIAL ELECTION BASED ON PAST RESULTS AND STATE LEVEL POLLING | |
| dc.type | Princeton University Senior Theses | |
| pu.date.classyear | 2020 | |
| pu.department | Economics | |
| pu.pdf.coverpage | SeniorThesisCoverPage | |
| pu.contributor.authorid | 961154016 | |
| pu.certificate | Applications of Computing Program | |
| Appears in Collections: | Economics, 1927-2020 | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| CLIFF-LORRAINE-THESIS.pdf | 627.71 kB | Adobe PDF | Request a copy |
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