references.bib

@article{weidmann_representing_2010,
	title = {Representing ethnic groups in space: {A} new dataset},
	volume = {47},
	issn = {0022-3433},
	shorttitle = {Representing ethnic groups in space},
	url = {https://doi.org/10.1177/0022343310368352},
	doi = {10.1177/0022343310368352},
	abstract = {Whether qualitative or quantitative, contemporary civil-war studies have a tendency to over-aggregate empirical evidence. In order to open the black box of the state, it is necessary to pinpoint the location of key conflict parties. As a contribution to this task, this article describes a data project that geo-references ethnic groups around the world. Relying on maps and data drawn from the classical Soviet Atlas Narodov Mira (ANM), the ‘Geo-referencing of ethnic groups’ (GREG) dataset employs geographic information systems (GIS) to represent group territories as polygons. This article introduces the structure of the GREG dataset and gives an example for its application by examining the impact of group concentration on conflict. In line with previous findings, the authors show that groups with a single territorial cluster according to GREG have a significantly higher risk of conflict. This example demonstrates how the GREG dataset can be processed in the R statistical package without specific skills in GIS. The authors also provide a detailed discussion of the shortcomings of the GREG dataset, resulting from the datedness of the ANM and its unclear coding conventions. In comparing GREG to other datasets on ethnicity, the article makes an attempt to illustrate the strengths and weaknesses associated with the GREG database.},
	language = {en},
	number = {4},
	urldate = {2022-05-10},
	journal = {Journal of Peace Research},
	author = {Weidmann, Nils B. and Rød, Jan Ketil and Cederman, Lars-Erik},
	month = jul,
	year = {2010},
	note = {Publisher: SAGE Publications Ltd},
	keywords = {ethnic conflict, ethnic groups, geographic information systems, group settlement patterns},
	pages = {491--499},
}

@article{michalopoulos_origins_2012,
	title = {The {Origins} of {Ethnolinguistic} {Diversity}},
	volume = {102},
	issn = {0002-8282},
	url = {https://www.aeaweb.org/articles?id=10.1257/aer.102.4.1508},
	doi = {10.1257/aer.102.4.1508},
	abstract = {This study explores the determinants of ethnolinguistic diversity within as well as across countries, shedding light on its geographic origins. The empirical analysis conducted across countries, virtual countries, and pairs of contiguous regions establishes that geographic variability, captured by variation in regional land quality
and elevation, is a fundamental determinant of contemporary linguistic
diversity. The findings are consistent with the proposed hypothesis that differences in land endowments gave rise to location-specific human capital, leading to the formation of localized ethnicities. (JEL J15, J24, Z13)},
	language = {en},
	number = {4},
	urldate = {2022-05-10},
	journal = {American Economic Review},
	author = {Michalopoulos, Stelios},
	month = jun,
	year = {2012},
	keywords = {Economic Anthropology, Economics of Minorities, Races, and Immigrants, Labor Productivity, Economic Sociology, Non-labor Discrimination, Human Capital, Occupational Choice, Skills, Social and Economic Stratification},
	pages = {1508--1539},
	file = {Accepted Version:/Users/isaac/Zotero/storage/EQBY9EJD/Michalopoulos - 2012 - The Origins of Ethnolinguistic Diversity.pdf:application/pdf;Snapshot:/Users/isaac/Zotero/storage/E3BADWK3/articles.html:text/html},
}

@techreport{ding_linear_2022,
	title = {Linear {Model} and {Extensions}},
	urldate = {2022-03-29},
	institution = {University of California, Berkeley},
	author = {Ding, Peng},
	year = {2022},
}