This study explores the relationship between property ownership, pair bonding, and sex as predictors of romantic jealousy. The results of an unpublished cross-cultural study are presented in support of the theory.

This paper investigates five different economic types of foragers: classic, transitional system, politically oriented, economically oriented, and intangibles-oriented. The author asserts that these economic types “are not mere epiphenomena of the oft-discussed social structural or political forces but, rather, are special characteristics that must be independently taken into account” (418). A myriad of environmental, subsistence, political, and social variables are examined: some differed significantly across the five economic types of foragers, but others such as famine threat, conflict, locational fixity, marital form, and postmarital residence did not differ between types.

In this article, the author departs from previous research on common vs. private property ownership predictors to understand why ocean property rights often play out differently than land. As opposed to the dominant hypothesis that common property regimes will change to private property when resources are scarce and population increases, the author proposes economic defendability (the relationship between the value of the property and the cost to defend it) as a better predictor of property regime type.

This article analyzes the predictors of private property ownership with an aim to replicate existing correlations using data from the dissertation of Zelman (1974).

The present study builds upon Rudmin's 1992a publication by using a second data base to replicate and evaluate analyses on the cross-cultural correlates of private property ownership. Rudmin seeks to assess the reliability of Swanson's (1966) data base of 39 variables coded on 50 cultures. To do so, Swanson's data was evaluated against matching societies and variables from Murdock's (1967) Ethnographic Atlas. Swanson's reliable variables are tested against three measures of property ownership, one from Swanson and two from Murdock. Rudmin discusses results and speculates why certain clusters of societal variables correlate with private property ownership.

The present study aims to assess the reliability of Simmons' (1937) database of 109 variables coded for 71 societies. Simmons' data was evaluated against matching societies and variables from Murdock's (1967) Ethnographic Atlas. The ultimate purpose of Rudmin's analysis is to identify the features of societies that are correlated with the private ownership of property. To do so, Simmons' reliable variables are tested against four measures of property ownership, two from Simmons and two from Murdock. Rudmin discusses results and speculates why certain clusters of societal variables correlate with private property ownership.

This article presents an analysis of predictors of displays of manliness, women's inferiority, deference to men, and dominance of wives.

This study employs factor analysis to develop a settlement pattern scale of cultural complexity. Political, economic, and religious factors are identified and implications for the structure of the cultural system are discussed.

The present study aims to evaluate correlations of private property from two of Murdock's datasets, one of 147 societies (1981) and the other of 312 societies (1967). Altogether the author tested 146 variables coded by Murdock against variables regarding the ownership of land and of movables drawn from Murdock (1967), Simmons (1937), and Swanson (1960). In total, there were 51 statistically significant correlations between private property ownership and other variables. Additionally, the author summarizes the results from this article and the two that preceded it stating that throughout all of the correlations he ran, the practice of agriculture, the use of cereal grains, and the presence of castes and classes were the only variables that predicted private property in all of the datasets that were utilized.

Using multiple logistic regression, the researchers compare the relative strength of predictors of land ownership across 102 societies. The analysis finds significant predictive power in factors such as neighbors' property system, population density, and geography.