The
Dow-Eff functions are available in an R workspace that also contains the four
most commonly used ethnological datasets: the Standard
Cross-Cultural Sample (SCCS); the
Ethnographic Atlas (EA); Lewis R. Binford’s Forager dataset (LRB); and the Western North American Indian dataset (WNAI). Based on ideas developed by
Malcolm M. Dow and E. Anthon Eff, the functions will estimate OLS, logit, and
multinomial logit models, using multiple
imputation to handle the problem of missing data, and network lag terms to
handle Galton’s
Problem.
The
best way to get started is to practice with one or more of the example R
scripts in the following table.
|
Example
R scripts |
Codebooks |
Data
(no labels) |
Data
(with labels) |
Notes: All
datasets and functions (though not the codebooks) are found in the workspace DEf01f.Rdata
(7.2MB). The manual is found both in pdf
and html
formats.
Bibliography
Dow’s initial work on network
lag models:
Dow,
M. M., Burton, M. L., White, D. R., & Reitz, K. (1984). Galton’s Problem as
network autocorrelation. American Ethnologist, 11, 754-770. (Link)
Dow,
M. M. (2007). Galton’s Problem as multiple network autocorrelation effects. Cross-Cultural
Research, 41, 336-363. (Link)
Dow and Eff
on the prevalence of autocorrelation in cross-cultural data:
Eff,
E. Anthon. 2004. “Does Mr. Galton Still Have a Problem?:
Autocorrelation in the Standard Cross-Cultural Sample.” World Cultures. 15(2):153-170.
(Link)
Eff,
E. Anthon. Spatial and Cultural
Autocorrelation in International Datasets. MTSU Department of Economics and
Finance Working Papers. February 2004. (Link)
Eff,
E. Anthon. Spatial, Cultural, and
Ecological Autocorrelation in U.S. Regional Data. MTSU Department of
Economics and Finance Working Papers. September 2004. (Link)
Dow,
Malcolm M., and E. Anthon Eff. 2008. “Global, Regional, and Local Network
Autocorrelation in the Standard Cross-Cultural Sample.” Cross-Cultural Research. 42(2):148-171. (Link)
Dow and Eff
on incorporating multiple imputation and network lags to estimate
cross-cultural models:
Eff,
E. Anthon, and Malcolm M. Dow. Do Markets
Promote Prosocial Behavior? Evidence from the Standard Cross-Cultural Sample.
MTSU Department of Economics and Finance Working Papers. April 2008. (Link)
Eff,
E. Anthon and Malcolm M. Dow. 2009. "How to Deal with Missing Data and
Galton’s Problem in Cross-Cultural Survey Research: A Primer for R." Structure and Dynamics: eJournal
of Anthropological and Related Sciences: Vol. 3: No. 3, Article 1. (Link) (updated scripts—2011)
Dow,
Malcolm M, and E. Anthon Eff. 2009. “Multiple Imputation of Missing Data in
Cross-Cultural Samples.” Cross-Cultural
Research 43(3):206-229. (Link)
Dow,
Malcolm M, and E. Anthon Eff. 2009. “Cultural Trait Transmission and Missing
Data as Sources of Bias in Cross-Cultural Survey Research: Explanations of
Polygyny Re-examined.” Cross-Cultural Research.43(2):134-151.
(Link)
Substantive
papers employing the Dow-Eff functions:
Brown,
Christian, and Eff, E. Anthon. 2010. “The State and the Supernatural: Support
for Prosocial Behavior.” Structure and
Dynamics: eJournal of Anthropological and Related
Sciences: Vol. 4: No. 1, Article 3. (Link)
Eff,
E. Anthon, and Philip W. Routon. 2011. “Farming and Fighting: An Empirical
Analysis of the Ecological-Evolutionary Theory of the Incidence of Warfare.” Structure and Dynamics: eJournal
of Anthropological and Related Sciences: Vol. 5: No. 2, Article 3. (Link)
Dow,
Malcolm M., and E. Anthon Eff. 2013. "When One Wife is Enough:
A Cross-Cultural Study of the Determinants of Monogamy." Journal of
Social, Evolutionary, and Cultural Psychology 7(3):211-238. (Link)
Papers
related to data creation for the Standard Cross-Cultural Sample:
Eff,
E. Anthon. 2008. "Weight Matrices for Cultural Proximity: Deriving Weights
from a Language Phylogeny." Structure
and Dynamics: eJournal of Anthropological and Related
Sciences. Vol. 3, No. 2, Article 9. (Link)
Eff,
E. Anthon, and Abhradeep Maiti.
2013. “A Measure of Technological Level for the Standard Cross-Cultural
Sample.” World Cultures, 19(1). (Link)
Eff, E. Anthon. 2010. “A Scale for Markets and Property in the Societies of the Standard Cross-Cultural Sample: A Linear Programming Approach.” World Cultures. 17(2). (Link)