@TechReport{iza:izadps:dp10372,
            	author={Gee, Laura Katherine},
            	title={The More You Know: Information Effects on Job Application Rates in a Large Field Experiment},
            	year={2016},
	month={Nov},
            	institution={Institute of Labor Economics (IZA)},
            	address={Bonn},
            	type={IZA Discussion Paper},
            	number={10372},
            	url={https://www.iza.org/index.php/publications/dp10372},
	abstract={This paper presents the results from a 2.3 million person field experiment that varies whether or not a job seeker sees the number of applicants for a job posting on a large job posting website, LinkedIn. This intervention increases the likelihood that a person will finish an application by 3.5%. Women have a larger increase in their likelihood of finishing an application than men. Overall, adding this information to a job posting may offer a light-touch way to both increase application rates and alter the diversity of the applicant pool.},
	keywords={ambiguity aversion;risk aversion;gender;big data;social information;labor search;field experiment;uncertainty;herding;competition},
            }