Name File Type Size Last Modified
Chen_Jiang_Krupka_ExpEcon_2019.pdf application/pdf 1.3 MB 06/23/2020 11:15:AM
Hunger_data.dta application/x-stata-dta 142.1 KB 06/28/2022 11:02:AM
readme-health.xlsx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet 9.5 KB 06/23/2020 08:49:AM
readme-nonhealth.xlsx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet 12 KB 06/28/2022 11:04:AM

Project Citation: 

Chen, Yan, Jiang, Ming, and Krupka, Erin. Data and Code for: Hunger and the Gender Gap. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-06-28. https://doi.org/10.3886/E120065V2

Project Description

Summary:  View help for Summary Temporary changes in biological state, such as hunger, can impact decision making differently for men and women. Food scarcity is correlated with a host of negative economic outcomes. Two explanations for this correlation are that hunger affects economic preferences directly or that hunger creates a mindset that focuses on scarcity management to the detriment of other decisions. To test these predictions, we conduct a lab-in-the-feld experiment in a health screening clinic in Shanghai, recruiting participants who finish their annual physical exam either before or after they have eaten breakfast. We compare the hungry and sated groups on their risk, time and generosity preferences as well as their cognitive performance. Our results show that men and women respond to hunger in opposite directions, thus hunger reduces the gender gap in decision quality, risk aversion and cognitive performance, but creates one in generosity. Finally, we examine several biomarkers and find that higher blood lipid levels are correlated with greater choice inconsistency, risk aversion and generosity. We contribute to emerging insights on the biological foundations for economic preferences and outcomes

Scope of Project

Subject Terms:  View help for Subject Terms hunger; gender; economic preferences
Geographic Coverage:  View help for Geographic Coverage Shanghai, China
Time Period(s):  View help for Time Period(s) 4/3/2014 – 4/11/2014
Universe:  View help for Universe  individuals visiting one of the health screening clinics of the company MeiNian
Data Type(s):  View help for Data Type(s) experimental data; medical records; observational data; survey data
Collection Notes:  View help for Collection Notes The experiment was conducted immediately after the employee annual physical at a health clinic in Shanghai.

Methodology

Unit(s) of Observation:  View help for Unit(s) of Observation individual employee

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