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Over the last decades, the topic of gender differences has gained a lot of
attention in behavioral economics. Research using experimental and
observational data has shown some robust gender differences in behavior.
For example, on average, women are less likely to compete, less likely to
risk, ...

Over the last decades, the topic of gender differences has gained a lot of
attention in behavioral economics. Research using experimental and
observational data has shown some robust gender differences in behavior.
For example, on average, women are less likely to compete, less likely to
risk, and less likely to tell selfish lies. At the same time, even though
men and women do differ in their behaviors, there are also many overlaps.
For instance, both men and women tend to be overconfident.

In this Research Topic, we will collect papers that use experimental and
observational data and shed more light on behavioral gender differences
and overlaps. The main criterion for the research papers that we welcome
is that the papers provide novel insights into the decision-making of men
and women and contribute to a deeper understanding of the behavioral
economics of gender.

We welcome submissions that use experimental and/or observational data:
1) to shed more light on well-studied topics in behavioral economics of
gender such as risk preferences, social preferences, willingness to
compete, stereotyping, overconfidence, etc.
2) to study novel topics in behavioral economics of gender.
3) that are well-designed, well-powered studies finding null gender differences in behavior, which may help us deepen our understanding of the differences and similarities of gender behavior.

We will consider only the papers that do not use deception of participants
in experimental procedures.

Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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