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PHYLOGENETIC COMPARATIVE METHODS IN CROSS-CULTURAL ECONOMIC RESEARCH

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posted on 2025-06-13, 18:37 authored by Tinatin Mumladze

This dissertation explores the origins and evolution of culture across societies, introducing phylogenetic comparative methods to cross-cultural economic research using ethnic-group-level data. The first chapter examines headhunting in Austronesian societies as a cultural adaptation to frequent inter-tribal warfare, functioning both as a mechanism for warrior training and a system of rewards for skill development. Using phylogenetic comparative methods and ethnographic data, we find that headhunting was significantly more prevalent in societies exposed to frequent warfare. Bayesian correlated evolution models suggest that its adoption followed increases in conflict, while its decline preceded reduced intergroup violence.

The second chapter addresses a key methodological challenge in cross-cultural economic research—cultural non-independence due to common ancestry. We show that phylogenetic regression, combined with global language trees, effectively accounts for this issue. Using Murdock’s Ethnographic Atlas, we demonstrate that economic, institutional, and cultural characteristics tend to be more similar among societies with closer ancestral ties, violating standard independence assumptions. Simulations reveal that phylogenetic correlation leads to severe inefficiency of the standard OLS estimator compared to phylogenetic generalized least squares (PGLS). Reassessing recent published results, we find that PGLS estimates are consistently smaller and less statistically significant than their OLS counterparts.

History

Publisher

ProQuest

Language

English

Committee chair

Boris Gershman

Committee member(s)

Walter G. Park; Quamrul H. Ashraf

Degree discipline

Economics

Degree grantor

American University. College of Arts and Sciences

Degree level

  • Doctoral

Degree name

Ph.D. in Economics, American University, May 2025

Local identifier

Mumladze_american_0008E_12318

Media type

application/pdf

Pagination

120 pages

Access statement

Electronic thesis is restricted to authorized American University users only, per author's request.

Call number

Thesis 11655

MMS ID

99187047091604102

Submission ID

12318

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