Cheap talk and costly consequences
Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2019
Main Author: | |
---|---|
Other Authors: | |
Format: | Thesis |
Language: | eng |
Published: |
Massachusetts Institute of Technology
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/1721.1/124082 |
_version_ | 1811094830528331776 |
---|---|
author | Loaiza Saa, Isabella. |
author2 | Alex ('Sandy') Pentland. |
author_facet | Alex ('Sandy') Pentland. Loaiza Saa, Isabella. |
author_sort | Loaiza Saa, Isabella. |
collection | MIT |
description | Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2019 |
first_indexed | 2024-09-23T16:06:11Z |
format | Thesis |
id | mit-1721.1/124082 |
institution | Massachusetts Institute of Technology |
language | eng |
last_indexed | 2024-09-23T16:06:11Z |
publishDate | 2020 |
publisher | Massachusetts Institute of Technology |
record_format | dspace |
spelling | mit-1721.1/1240822020-03-10T03:02:22Z Cheap talk and costly consequences Loaiza Saa, Isabella. Alex ('Sandy') Pentland. Program in Media Arts and Sciences (Massachusetts Institute of Technology) Program in Media Arts and Sciences (Massachusetts Institute of Technology) Program in Media Arts and Sciences Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2019 Cataloged from PDF version of thesis. Includes bibliographical references (pages 39-41). In this thesis, we use data on political interactions between country pairs to predict changes in trade. We implemented and applied a new feature selection algorithm called Boruta to build a compact set of predictor variables for this task. After finding a consistent set of features we used a Random Forest Classifier to predict bilateral changes in trade between 1998-2014. To better understand the contribution of each of the predictor variables used in the model we employ three different methods for calculating feature importance. Our results suggest that political and diplomatic interaction at at least as important (if not more) as distance and for predicting changes in trade. by Isabella Loaiza Saa. S.M. S.M. Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences 2020-03-09T18:52:43Z 2020-03-09T18:52:43Z 2019 2019 Thesis https://hdl.handle.net/1721.1/124082 1142235692 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 41 pages application/pdf Massachusetts Institute of Technology |
spellingShingle | Program in Media Arts and Sciences Loaiza Saa, Isabella. Cheap talk and costly consequences |
title | Cheap talk and costly consequences |
title_full | Cheap talk and costly consequences |
title_fullStr | Cheap talk and costly consequences |
title_full_unstemmed | Cheap talk and costly consequences |
title_short | Cheap talk and costly consequences |
title_sort | cheap talk and costly consequences |
topic | Program in Media Arts and Sciences |
url | https://hdl.handle.net/1721.1/124082 |
work_keys_str_mv | AT loaizasaaisabella cheaptalkandcostlyconsequences |