A Site-Level Market Model of the Antiquities Trade
Bibliographic Data
| ID | 4282960 |
|---|---|
| Authors | Fiona Greenland (0000-0003-3754-8443, Chicago College of Oriental Medicine, corresponding author), James V Marrone, James Marrone (Northwestern University), Oya Topçuoğlu (Northwestern University), Tasha Vorderstrasse (Northwestern University) |
| Year | 2019 |
| Volume | 26 |
| Issue | 1 |
| Pages | 21-47 |
| Publication date | 2019-02-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Cultural Property (JOURNAL) |
| Journal identifiers | ISSN: 0940-7391 • E-ISSN: 1465-7317 |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/s0940739119000018 |
| OpenAlex | W2944216979 |
| Language | EN |
| Citations received | 12 |
| References cited | 32 |
Archaeological looting correlates with a number of problems, including the destruction of stratigraphic data and the damage and loss of artifacts. Looting is also understood to generate revenue, but systematic analysis of this issue is challenged by its opacity: how can we study the economic effects of archaeological looting when the practice is rarely directly observable? To address this problem, we estimate the market value of archaeological sites where artifacts have been previously excavated and documented, using a machine-learning approach. The first step uses 41,587 sales of objects from 33 firms to train an algorithm to predict the distribution channel, lot packaging, and estimated sale price of objects based on their observable characteristics. The second step uses the trained algorithm to estimate the value of sites in which a large number of artifacts have been legally excavated and documented. We make an out-of-sample prediction on two Syrian sites, Tell Bi'a and Dura Europos
Archaeology · Artifact (error · Cave · Economics · Excavation · Looting · Observable · Revenue · Sample (material · Value (mathematics · Archaeological Research and Protection · Art History and Market Analysis · Computer Science · History · Law, Economics, and Judicial Systems · Artificial Intelligence · Finance
Looted communities
The Ruination of Dura-Europos
Fragmented data, global bias
Using Social Media as a Source for Understanding Public Perceptions of Archaeology
Some New Evidence Documenting the Involvement of Da’esh in Syria with the Illicit Trade in Antiquities
The Market for Heritage
Pixel politics and satellite interpretation in the Syrian war
Why There is Still an Illicit Trade in Cultural Objects and What We Can Do About It
The sale of heritage on eBay
Introduction
The destruction and looting of cultural heritage sites by Isis in Syria
The Past Polluted
Satellite imagery-based monitoring of archaeological site damage in the Syrian civil war
Bart
MissForest—non-parametric missing value imputation for mixed-type data
Random Forests
The Inner Lives of Ancient Houses
The relevance of hedonic price indices
Satellite-Based Monitoring of Looting and Damage to Archaeological Sites in Syria
The Utility of Publicly-Available Satellite Imagery for Investigating Looting of Archaeological Sites in Jordan
New Estimates of Undocumented Mexican Migration and the Probability of Apprehension
Encyclopedia of Global Archaeology
Looting and the World's Archaeological Heritage
A Closer Look at Oil, Diamonds, and Civil War
Material Consequences of Contemporary Classical Collecting
Patterns of looting in southern Iraq
Satellite evidence of archaeological site looting in Egypt
Quantifying the supply chain for Near Eastern Antiquities in times of war and conflict
Satellite Imagery-Based Analysis of Archaeological Looting in Syria
The Illicit Antiquities Trade as a Transnational Criminal Network
Why Do Some Civil Wars Last So Much Longer than Others
Do Natural Resources Fuel Authoritarianism? A Reappraisal of the Resource Curse
| Unique citing works | 12 |
|---|---|
| Citations per year | 1,71 |
| Citation span | 2019 - 2026 (8) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 12 |