Folklore is the
collection of traditional beliefs, customs, and stories of a community
passed through the generations by word of mouth. We introduce to
economics a unique catalog of oral traditions spanning approximately
1,000 societies. After validating the catalog’s content by showing that
the groups’ motifs reflect known geographic and social attributes, we
present two sets of applications. First, we illustrate how to fill in
the gaps and expand upon a group’s ethnographic record, focusing on
political complexity, high gods, and trade. Second, we discuss how
machine learning and human classification methods can help shed light on
cultural traits, using gender roles, attitudes toward risk, and trust
as examples. Societies with tales portraying men as dominant and women
as submissive tend to relegate their women to subordinate positions in
their communities, both historically and today. More risk-averse and
less entrepreneurial people grew up listening to stories wherein
competitions and challenges are more likely to be harmful than
beneficial. Communities with low tolerance toward antisocial behavior,
captured by the prevalence of tricksters being punished, are more
trusting and prosperous today. These patterns hold across groups,
countries, and second-generation immigrants. Overall, the results
highlight the significance of folklore in cultural economics, calling
for additional applications."
"Two broad observations motivate our study.
First, narratives are central building blocks of our societies. We think
in stories and explain the world by telling stories. Harari (2015),
for example, identifies in the myths present in people’s collective
imagination the roots of their successes and failures. Despite their
central role in connecting actions to values and needs, economists have
only recently turned to the study of narratives (e.g., Akerlof and Snower 2016; Shiller 2017).1
Second,
during the past two decades, a burgeoning body of work exploring the
cultural, historical, and institutional roots of comparative development
highlights the significance of ethnic, linguistic, and religious groups
(Michalopoulos and Papaioannou 2017; Nunn 2020). Much of this research, however, relies on valuable but incomplete ethnographic sources including the widely used Ethnographic Atlas
(EA). Furthermore, the absence of proxies of historical norms renders
inquiries into how attitudes change and why they persist intractable.2 Other weaknesses of the EA, the celebrated compilation of George Peter Murdock (1967), concern the uneven coverage of groups and attributes and measurement error."
"In this study, we leverage a group’s oral
tradition to shed light on its cultural heritage and past social and
economic structures. According to the Oxford Dictionary,
folklore consists of the traditional beliefs, customs, and stories of a
community, passed through the generations by word of mouth. This corpus
is the subject of the discipline of folklore. We do three things to
reveal the potential of integrating traditional narratives in the
toolset of economists and political scientists interested in the origins
of comparative development, gender norms, morality, psychology, and
culture.
First, we introduce to economics a
catalog of folklore that codes the distribution of thousands of motifs
across 958 world societies. This database is the lifetime work of
eminent anthropologist and folklorist Yuri Berezkin. A motif, according
to the author, is an episode or an image found in the set of narratives
recorded in an ethnolinguistic community. We validate the catalog’s
content by establishing that images and episodes in a group’s oral
tradition reflect salient features of its physical environment. For
example, groups closer to earthquake-prone regions have a higher
incidence of earthquake-related motifs, groups on fertile land have more
crop-related images, and groups living close to rivers (or in colder
climates) have more episodes reflecting their respective landscapes.
Then we link the groups in Berezkin’s collection to the EA and show that
the folklore-based measures of political complexity, family structure,
and subsistence mode robustly correspond to EA’s analogous traits.
Second,
we illustrate how to use a group’s oral tradition to fill in gaps in
the ethnographic record, focusing on the degree of political complexity
and the presence of high gods. In addition, we show how one can use
folklore to quantify the extent of the preindustrial market economy, a
key economic aspect that the EA does not cover.
Third,
we present a method to uncover a group’s cultural heritage that
involves reading and classifying motifs by multiple individuals.3
We focus on trust, risk-taking, and gender norms to illustrate our
approach. To capture trust, we look at how tricksters (a common
archetype in oral traditions) are depicted in the motifs, distinguishing
between cases where their deceiving behavior is successful or punished.
Regarding risk-taking, we look at how challenges and competitions are
portrayed, differentiating between tragedies and victories. To measure
gender norms, we classify the various stereotypical roles males and
females play in the motifs.
These
folklore-based measures of historical attitudes are robust predictors of
contemporary values and economic choices. Folks who grew up listening
to stories where tricksters often fail to deceive their victims are more
trusting and prosperous today. Groups with oral traditions rich with
heroes who successfully tackle challenging situations tend to display
more appetite for risk and appear more entrepreneurial. Societies whose
folklore portrays women as less dominant, more submissive, and more
likely to engage in domestic affairs than men tend to relegate their
women to inferior roles in their communities, both historically and
today. These patterns hold across countries, second-generation
immigrants, and ethnic groups, suggesting that folklore may be one of
the vehicles by which norms are intergenerationally transmitted."