Genetic diversity and the origins of cultural fragmentation 2010-2015

Ashraf, Quamrul and Oded, Galor (2020). Genetic diversity and the origins of cultural fragmentation 2010-2015. [Data Collection]. Colchester, Essex: UK Data Service. 10.5255/UKDA-SN-854134

Data description (abstract)

This project is aimed at empirically demonstrating that genetic diversity, predominantly determined during the prehistoric "out of Africa" migration of humans, is an underlying cause of various existing manifestations of ethnolinguistic heterogeneity which in turn are related to the stability and prosperity of nations. A wide range of measures of contemporary ethnolinguistic heterogeneity at the country level are considered. These include (i) the log number of ethnic groups (EG), compiled by Fearon (2003); (ii) two distinct measures of ethnic fractionalization (EF-F and EF-A), constructed by Fearon (2003) and Alesina et al. (2003), respectively; (iii) indices of ethnolinguistic fractionalization (ELF-D) and polarization (POL-D), based on deeply-rooted ancestral cleavages among linguistic groups in the population (i.e., level 1), developed by Desmet, OrtuÒo-OrtÌn and Wacziarg (2012); and (iv) measures of ethnolinguistic polarization, based on the methodologies of Esteban-Ray (POL-ER) and Reynal-Querol (POL-RQ), constructed by Esteban, Mayoral and Ray (2012). The analysis also accounts for a large vector of geographical covariates. The data consists a sample of 143 countries for which data on all employed variables are available.

Data creators:

Creator Name	Affiliation	ORCID (as URL)
Ashraf Quamrul	Williams College, CAGE
Oded Galor	Brown University

Sponsors:

Economic and Social Research Council

Grant reference:

ES/H021248/1

Topic classification:

Economics
Demography (population, vital statistics and censuses)
Social stratification and groupings
Society and culture

Keywords:

PROSPERITY, GENETIC DIVERSITY, CULTURE

Project title:

Centre for Competitive Advantage in the Global Economy (CAGE)

Grant holders:

Nicholas Crafts, Andrew Oswald, Sharun Mukand, Sascha O Becker, Kimberley Scharf, Sayantan Ghosal, Anandi Mani, Stephen Broadberry, John Whalley

Project dates:

From	To
4 January 2010	3 January 2015

Date published:

15 Apr 2020 12:59

Last modified:

15 Apr 2020 12:59

Coverage and Methodology

Collection period:

Date from:	Date to:
4 January 2010	3 January 2015

Country:

World Wide

Data collection method:

The data consists of a wide range of measures of contemporary ethnolinguistic heterogeneity at the country level from different sources in the literature. These include (i) the log number of ethnic groups (EG), compiled by Fearon (2003); (ii) two distinct measures of ethnic fractionalization (EF-F and EF-A), constructed by Fearon (2003) and Alesina et al. (2003), respectively; (iii) indices of ethnolinguistic fractionalization (ELF-D) and polarization (POL-D), based on deeply-rooted ancestral cleavages among linguistic groups in the population (i.e., level 1), developed by Desmet, OrtuÒo-OrtÌn and Wacziarg (2012); and (iv) measures of ethnolinguistic polarization, based on the methodologies of Esteban-Ray (POL-ER) and Reynal-Querol (POL-RQ), constructed by Esteban, Mayoral and Ray (2012). The analysis also accounts for a large vector of geographical covariates. The data consists a sample of 143 countries for which data on all employed variables are available. The definitions to all the variables and the respective sources can be found in the Appendix of the publication (see related resources).

Observation unit:

Geographic unit

Kind of data:

Numeric

Type of data:

Geospatial data , International macrodata

Resource language:

English

Access and Administration