published as 'Economic preferences across generations and family clusters: A large-scale experiment in a developing country' in: Journal of Political Economy, 2022, 130 (9), 2361-2410.
Economic preferences are important for lifetime outcomes such as educational achievements, health status, or labor market success. We present a holistic view of how economic preferences are related within families. In an experiment with 544 families (and 1,999 individuals) from rural Bangladesh we find a large degree of intergenerational persistence of economic preferences.
Both mothers' and fathers' risk, time and social preferences are significantly (and largely to the same degree) positively correlated with their children's economic preferences, even when controlling for personality traits and socio-economic background data. We discuss possible transmission channels for these relationships within families and find indications that there is more than pure genetics at work. Moving beyond an individual level analysis, we are the first to classify a whole family into one of two clusters, with either relatively patient, risktolerant and pro-social members or relatively impatient, risk averse and spiteful members. Socio-economic background variables correlate with the cluster to which a family belongs to.
We use cookies to provide you with an optimal website experience. This includes cookies that are necessary for the operation of the site as well as cookies that are only used for anonymous statistical purposes, for comfort settings or to display personalized content. You can decide for yourself which categories you want to allow. Please note that based on your settings, you may not be able to use all of the site's functions.
Cookie settings
These necessary cookies are required to activate the core functionality of the website. An opt-out from these technologies is not available.
In order to further improve our offer and our website, we collect anonymous data for statistics and analyses. With the help of these cookies we can, for example, determine the number of visitors and the effect of certain pages on our website and optimize our content.