Science Advances

Supplementary Materials

This PDF file includes:

  • According to our agreement with eBay, we cannot use, reproduce, or access the data.
  • The Stata do-file used for conducting the analysis is available online. We also provide the data and do-files for the two experiments conducted.
  • Table S1. Distribution of women and men sellers across sale platforms.
  • Table S2. Multinomial regression models predicting the sale platform, eBay 2009 to 2012.
  • Table S3. Models predicting the likelihood of various seller characteristics, choices, and rating.
  • Table S4. Logistic regression models predicting the likelihood of having a woman buyer.
  • Table S5. Regression coefficients from OLS models predicting the final price: eBay auctions 2009 to 2012, by product category.
  • Table S6. OLS regression models predicting the usage of sentiments in the listing, eBay auctions 2009 to 2012.
  • Table S7. OLS regression models predicting the final price, controlling for the sentiments used: eBay auctions 2009 to 2012.
  • Table S8. Gender identification of eBay users, experimental results.
  • Table S9. Logistic regression model predicting the likelihood of correctly identifying the gender of eBay users.
  • Table S10. The value assigned to products by the gender of seller, experimental results.

Download PDF

Files in this Data Supplement: