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Does bride price harm women? Using ethnography to think about causality

Published online by Cambridge University Press:  03 May 2024

Eva Brandl*
Affiliation:
Lise Meitner Research Group BirthRites, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany Department of Human Behavior, Ecology and Culture, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
Heidi Colleran
Affiliation:
Lise Meitner Research Group BirthRites, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany Department of Human Behavior, Ecology and Culture, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
*
Corresponding author: Eva Brandl; E-mail: eva_brandl@eva.mpg.de

Abstract

Many institutions claim that bride price – where the groom's family transfers wealth to the bride's family at marriage – harms women. Owing to its long-term engagement with communities that practise bride price, ethnography is well placed to identify causal mechanisms at play in this issue, and there is a substantial literature on its effects in a variety of world regions, including Melanesia. Here, we condense this literature, drawing out key causal arguments made about bride price in various Melanesian societies. This reveals a complex, multi-causal picture: rather than being singularly harmful, bride price may involve a mixture of drawbacks and benefits, making it a double-edged sword with contested implications. Bride price may constrain women's options before and during the marriage but also serves as a safety net that enhances their status. Its effects are probably influenced by many other variables, including age, kinship networks and residence structures. These dynamics have been transformed by conversion to Christianity, the (post-)colonial state, market integration, urbanisation and formal education, often yielding ambiguous outcomes. Rather than reducing ethnography to a collection of datapoints, we show that it can serve as a source of verbal arguments that can be used to challenge reductive narratives about sensitive issues and to formulate hypotheses for testing with quantitative data.

Information

Type
Review
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press
Figure 0

Figure 1. (a) Field sites in Australia, Papua New Guinea and West Papua covered in this review. Dark green colouring stands for islands and light green for mainland districts. Large black dots mark mainland cities, small black dots mark smaller settlements and green dots mark cultural groups. Manus is not covered in our review but coloured on the map to indicate the location of Ponam. (b) Field sites in the Solomon Islands, Vanuatu and New Caledonia covered in this review. For a detailed breakdown of the different field sites and the publications that cover them see Supplementary Table S1, SI.

Figure 1

Figure 2. Schematic of drawbacks attributed to bride price. Bride price (in purple) is positioned in the centre; arrows point outwards to indicate different sets of arguments in the literature; mechanisms invoked in these arguments are clustered into particular causal pathways and social incentives (green = obstacles to divorce, black = marital pressures and obligations, lavender = premarital restrictions); consequences for women (in orange) are positioned at the end of each pathway. Drawbacks and benefits are also summarised in Supplementary Table S2, SI. Note that this is not intended to be a testable model, but a summary of concepts mentioned in the literature.

Figure 2

Figure 3. Schematic of benefits attributed to bride price. Bride price (in purple) is positioned in the centre; arrows point outwards to indicate different sets of arguments in the literature; mechanisms invoked in these arguments are clustered into particular causal pathways and social incentives (green = stability of investment by husbands and in-laws, lavender = social status and reputation); consequences for women (in orange) are positioned at the end of each pathway. Drawbacks and benefits are also summarised in Supplementary Table S2, SI. Note that this is not intended to be a testable model, but a summary of concepts mentioned in the literature.

Figure 3

Figure 4. Left: Illustration of potential causal connections between women's education, employment, sexual stigma, bride price and domestic violence by way of a directed acyclic graph (yellow node = exposure variable, blue node = outcome variable, red node = variable that affects both exposure and outcome, green line = main effect to be analysed, purple line = open backdoor paths that can create spurious correlations between exposure and outcome, see Textor et al., 2016). This model implies that: to estimate the total effect of the size of bride price on domestic violence, the analysis has to adjust for employment and sexual stigma; a woman's sexual stigma is unrelated to her education and employment status; and after adjusting for employment, bride price and sexual stigma, education is unrelated to domestic violence. Right: Illustration of potential causal connections between women's education, employment, sexual stigma, residence, kinship, bride price and domestic violence. This model implies that: to estimate the total effect of the size of bride price on domestic violence, the analysis has to adjust for employment, sexual stigma and residence; a woman's history of sexual stigma is unrelated to her education, employment, kinship system and residence pattern; a woman's education and employment are unrelated to her residence and kinship pattern; after adjusting for employment, bride price, sexual stigma and residence, education is unrelated to domestic violence; and after adjusting for residence, kinship pattern is unrelated to bride price. Note that in either case, these assumptions may or may not reflect reality; this is merely an example of some of the predictions that could be tested.

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