Data · dataset · 2010

Winning the Bid: Analyzing the International Olympic Committee's Host City Selections

Listed in Harvard Dataverse

Previous scholarship has relied on case study analysis and anecdotal evidence to explain the International Olympic Committee (IOC) Olympic host city selection process.

Description

This has resulted in several provocative claims regarding why the IOC selects particular cities to host the Olympics. Large-n analysis can dispel some of these assertions by identifying the systematic tendencies in the IOC's host city choices.

After reviewing the selection process and the different influences on the IOC's choice of a host city, rank-ordered conditional logit estimation is applied to data proxies of bid candidate characteristics from 1959 through 2005. The IOC shows a statistical tendency to base its decision on the economic vitality of a bid city's home country and on the need to maintain continental diversity.

Links

Where it is published

Dataverse dataset page dataverse.harvard.edu/dataset.xhtml?persistentId=doi%3A10.7910%2FDVN%2FQ41ILE ↗
landing page · from Harvard Dataverse
DOI doi.org/10.7910/dvn/q41ile ↗
DOI / persistent id · from Harvard Dataverse

Catalogue records · 1

Dataverse API dataverse.harvard.edu/api/datasets/:persistentId/?persistentId=doi%3A10.7910%2FDVN%2… ↗
metadata API · from Harvard Dataverse

Provenance · 1 source records, 6 field assertions

Source	Key	Last seen	Raw
Harvard Dataverse	doi:10.7910/DVN/Q41ILE	15 d ago	JSON v1

Field	Assertion	Extractor	Evidence
created_date	source · Harvard Dataverse	connector:dataverse@1.0.0
description	source · Harvard Dataverse	connector:dataverse@1.0.0	/description
publication_date	source · Harvard Dataverse	connector:dataverse@1.0.0
title	source · Harvard Dataverse	connector:dataverse@1.0.0	/name
updated_date	source · Harvard Dataverse	connector:dataverse@1.0.0
version_label	source · Harvard Dataverse	connector:dataverse@1.0.0