Emma von EssenDocent
I am an associate professor (docent) at the Institute for Social Research, Stockholm University, Sweden and at Aarhus University, Department of Economics and Business, Denmark. My research interests include experimental economics, labor economics and gender economics.
Labor economics, Gender economics, and Quantitative methods for students of Gender Studies at Stockholm University. Behavioral Economics and Finance at Aarhus university.
A selection from Stockholm University publication database
The effect of competition on discrimination in online markets—Anonymity and selection
2019. Emma von Essen, Jonas Karlsson. PLoS ONE 14 (8)Article
Empirical studies show that discrimination by identity found in offline markets also prevails online. This paper reveal that in a competitive market, buyers that intend to discriminate exist but they are prevented from influencing the market outcome. To this end, we construct a field experiment on eBay, where half of the sellers disclose their names in their usernames while the other half do not. eBay, however, automatically discloses the seller’s names to the buyer after the auction. In the anonymous auctions, winning bidders thus learn the identity of the seller after the auction ends, and here we find buyers to discriminate against sellers with foreign-sounding names by leaving them feedback less often. However, there is no such discrimination in feedback provision when the seller name was known to the buyer before the auction. When bidders know the names of the sellers, the bidders with animus towards individuals with specific names can select out of auctions from these sellers, leaving winners that do not discriminate. One would expect that the auctions of for example sellers with foreign-sounding names would receive fewer bidders and thus lower auction prices. However, we observe no such differences: there are no statistically significant differences in the number of bids or auction prices received by sellers with foreign or domestic sounding names.
Gender and altruism in a random sample
2018. Anne Boschini (et al.). Journal of Behavioral and Experimental Economics 77, 72-77Article
We study gender differences in altruism in a large random sample of the Swedish population using a standard dictator game. Beside a baseline treatment we implement a priming treatment where participants are reminded of their gender, and two treatments with known male and female counterpart respectively. We find suggestive evidence that women are more altruistic than men only in the priming treatment. A post-hoc analysis using data on interviewer gender to explore gender context effects indicates that priming affects behavior only in mixedgender contexts.