Biodata response elaboration: A large-scale field experiment

2010 ◽  
Author(s):  
Julia Levashina ◽  
Frederick P. Morgeson ◽  
Michael A. Campion
Keyword(s):  
Field Experiment ◽  
Large Scale ◽  
Scale Field ◽  
Large Scale Field

scholarly journals Adverse Selection into Competition: Evidence from a Large-scale Field Experiment in Tanzania

2020 ◽  
Author(s):  
Ingvild Almås ◽  
Lars Ivar Oppedal Berge ◽  
Kjetil Bjorvatn ◽  
Vincent Somville ◽  
Bertil Tungodden
Keyword(s):  
Field Experiment ◽  
Adverse Selection ◽  
Large Scale ◽  
Scale Field ◽  
Large Scale Field

scholarly journals Recommending teams promotes prosocial lending in online microfinance

2016 ◽  
Vol 113 (52) ◽  
pp. 14944-14948 ◽  
Author(s):  
Wei Ai ◽  
Roy Chen ◽  
Yan Chen ◽  
Qiaozhu Mei ◽  
Webb Phillips
Keyword(s):  
Field Experiment ◽  
Large Scale ◽  
Group Membership ◽  
Behavioral Mechanism ◽  
Scale Field ◽  
Large Scale Field ◽  
The Impact

This paper reports the results of a large-scale field experiment designed to test the hypothesis that group membership can increase participation and prosocial lending for an online crowdlending community, Kiva. The experiment uses variations on a simple email manipulation to encourage Kiva members to join a lending team, testing which types of team recommendation emails are most likely to get members to join teams as well as the subsequent impact on lending. We find that emails do increase the likelihood that a lender joins a team, and that joining a team increases lending in a short window (1 wk) following our intervention. The impact on lending is large relative to median lender lifetime loans. We also find that lenders are more likely to join teams recommended based on location similarity rather than team status. Our results suggest team recommendation can be an effective behavioral mechanism to increase prosocial lending.

scholarly journals Announcements of Support and Public Good Provision

2017 ◽  
Vol 107 (12) ◽  
pp. 3760-3787 ◽  
Author(s):  
Judd B. Kessler
Keyword(s):  
Public Goods ◽  
Field Experiment ◽  
Prosocial Behavior ◽  
Public Good ◽  
Large Scale ◽  
Laboratory Experiments ◽  
Public Good Provision ◽  
Scale Field ◽  
Large Scale Field ◽  
Good Provision

Providing information about contributions to public goods is known to generate further contributions. However, it is often impossible to provide verifiable information on contributions. Through a large-scale field experiment and a series of laboratory experiments, I show that nonbinding announcements of support for a public good encourage others to contribute, even when actual contributions might not or cannot be made. Providing a way to easily announce support for a charity increases donations by $865 per workplace fundraising campaign (or 16 percent of average giving). I discuss implications for understanding prosocial behavior and for organizations aiming to increase contributions to public goods. (JEL C93, D64, D83, H41, L31)

Pivotality and Turnout: Evidence from a Field Experiment in the Aftermath of a Tied Election

2014 ◽  
Vol 2 (2) ◽  
pp. 309-319 ◽  
Author(s):  
Ryan D. Enos ◽  
Anthony Fowler
Keyword(s):  
Field Experiment ◽  
Large Scale ◽  
Electoral Competition ◽  
Political Process ◽  
The Political ◽  
Scale Field ◽  
Large Scale Field ◽  
Political Office ◽  
Small Set ◽  
Rare Opportunity

Many citizens abstain from the political process, and the reasons for this abstention are of great interest and importance. Most scholars and pundits assume that greater electoral competition and the increased chance of pivotality will motivate citizens to participate. We test this hypothesis through a large-scale field experiment that exploits the rare opportunity of a tied election for major political office. Informing citizens that an upcoming election will be close has little mobilizing effect. Any effect that we do detect is concentrated among a small set of frequent voters. The evidence suggests that increased pivotality is not a solution to low turnout and the predominant models of turnout focusing on pivotality are of little practical use.

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