Getting the Rich and Powerful to Give

2019 ◽  
Vol 65 (9) ◽  
pp. 4049-4062 ◽  
Author(s):  
Judd B. Kessler ◽  
Katherine L. Milkman ◽  
C. Yiwei Zhang
Keyword(s):  
Behavioral Economics ◽  
Field Experiment ◽  
Sense Of Agency ◽  
Large Field ◽  
Psychology Research ◽  
Intensive Margin ◽  
Ivy League ◽  
Tailored Interventions ◽  
The Rich

What motivates the rich and powerful to exhibit generosity? We explore this important question in a large field experiment. We solicit donations from 32,174 alumni of an Ivy League university, including thousands of rich and powerful alumni. Consistent with past psychology research, we find that the rich and powerful respond dramatically, and differently than others, to being given a sense of agency over the use of donated funds. Gifts from rich and powerful alumni increase by 100%–350% when they are given a sense of agency. This response arises primarily on the intensive margin with no effect on the likelihood of donating. Results suggest that motivating the rich and powerful to act may require tailored interventions. This paper was accepted by Uri Gneezy, behavioral economics.

WHAT DO WE HAVE IN-COMMON? OVERCOMING THE NOT-INVENTED-HERE SYNDROME THROUGH RECATEGORISATION

2021 ◽  
pp. 2150070
Author(s):  
MARION A. WEISSENBERGER-EIBL ◽  
TIM HAMPEL
Keyword(s):  
Field Experiment ◽  
Empirical Evidence ◽  
Group Identity ◽  
Large Field ◽  
External Knowledge ◽  
Identity Model ◽  
Research Gap ◽  
The Common ◽  
Dual Identities

The not-invented-here (NIH) syndrome describes a negatively-shaped attitude of employees towards externally generated knowledge. Despite being cited as one of the largest barriers in the transfer of external knowledge, empirical evidence on interventions to overcome NIH remains scarce. To address this research gap, we design a brief and specificrecategorisational-intervention on basis of the common in-group identity model in order to change employees’ attitudes towards external knowledge directly. Additionally, we take into account the effects of affirmations as a frequently mentioned countermeasure to NIH and also investigate the role of dual identities in recategorisation. To test our hypothesis, we conducted a large field experiment with a total of 1,097 employees within a multinational organisation. Results revealed that (I) organisational identification and status are positively related to higher levels of NIH, (II) a recategorisational-intervention completely removes the NIH bias and leads to a significant increase in the evaluation of external knowledge.

scholarly journals Cyber-Shilling in Automobile Auctions: Evidence from a Field Experiment

2015 ◽  
Vol 7 (3) ◽  
pp. 85-103 ◽  
Author(s):  
David Grether ◽  
David Porter ◽  
Matthew Shum
Keyword(s):  
New York ◽  
Field Experiment ◽  
Large Field ◽  
Ascending Auctions ◽  
Seller Behavior

We run a large field experiment with an online company specializing in selling used automobiles via ascending auctions. We manipulate experimentally the “price grid,” or the possible amounts that bidders can bid above the current standing price. Using two diverse auction sites, one in New York and one in Texas, we find that buyer and seller behavior differs strikingly across the two sites. Specifically, in Texas we find peculiar patterns of bidding among a small but prominent group of buyers suggesting that they are “cyber-shills” working on behalf of sellers. These patterns do not appear in the New York auctions. (JEL C93, D12, D44, L62, L81)

Temporal Stability of Soil Moisture in a Large-Field Experiment in Spain

2003 ◽  
Vol 67 (6) ◽  
pp. 1647-1656 ◽  
Author(s):  
José Martínez-Fernández ◽  
Antonio Ceballos
Keyword(s):  
Soil Moisture ◽  
Field Experiment ◽  
Temporal Stability ◽  
Large Field

scholarly journals Follow the crowd: Social information and crowdfunding donations in a large field experiment

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Claire Van Teunenbroek ◽  
René Bekkers
Keyword(s):  
Field Experiment ◽  
Social Information ◽  
Participation Rate ◽  
Decision Makers ◽  
Large Field ◽  
Natural Field Experiment ◽  
Human Decision ◽  
Online Donation ◽  
Donation Behavior ◽  
The Individual

Purposely guiding human decision making with a discrete suggestion, ‘nudging’, is increasingly popular. One particularly promising nudge is to provide decision makers with information about the decisions of others, also referred to as social information. Social information is often applied in fundraising campaigns to increase individual donations. A discrete suggestion such as the donation amount of others can result in donors donating similar amounts. We examined effects of social information in a relatively new context, namely crowdfunding. Crowdfunding is a new online fundraising tool. Our study, based on a large natural field experiment (n = 24,070), tests to what extent social information affects online donation behavior and how its effects vary throughout the duration of a campaign. We show that social information increases the individual donation amount by 17%, which is close to the average of 14% found in previous studies. However, social information did not attract more donors: the participation rate was not affected. Our study is the first to pinpoint the stage of the funding campaign at which the effect of social information is most pronounced. We found that social information is most effective in increasing donations at the beginning of crowdfunding campaigns. All materials for this article are available at https://osf.io/epuj6/.

scholarly journals You’ve Got Mail: A Randomized Field Experiment on Tax Evasion

2020 ◽  
Vol 66 (7) ◽  
pp. 2801-2819 ◽  
Author(s):  
Kristina M. Bott ◽  
Alexander W. Cappelen ◽  
Erik Ø. Sørensen ◽  
Bertil Tungodden
Keyword(s):  
Behavioral Economics ◽  
Field Experiment ◽  
Tax Evasion ◽  
Detection Probability ◽  
Large Scale ◽  
Tax Compliance ◽  
Extensive Margin ◽  
Long Term Effects ◽  
Randomized Field Experiment

We report from a large-scale randomized field experiment conducted on a unique sample of more than 15,000 taxpayers in Norway who were likely to have misreported their foreign income. By randomly manipulating a letter from the tax authorities, we cleanly identify that moral suasion and the perceived detection probability play a crucial role in shaping taxpayer behavior. The moral letter mainly works on the intensive margin, while the detection letter has a strong effect on the extensive margin. We further show that only the detection letter has long-term effects on tax compliance. This paper was accepted by Yan Chen, behavioral economics.

scholarly journals The Effects of Tip Recommendations on Customer Tipping, Satisfaction, Repatronage, and Spending

2020 ◽  
Author(s):  
Damon Alexander ◽  
Christopher Boone ◽  
Michael Lynn
Keyword(s):  
Customer Satisfaction ◽  
Behavioral Economics ◽  
Field Experiment ◽  
Delivery Service ◽  
Tipping Behavior

A field experiment involving 94,571 orders from 24,637 customers of an app-based laundry pick-up, cleaning, and delivery service examined the effects of various randomly assigned tip recommendations on consumers’ tip amounts, satisfaction ratings, frequency of return, and bill size. We find that tip recommendations affect tip amounts, but not customer satisfaction, patronage frequency, or bill size, which implies that neither the processes underlying the tip-recommendation effects on tipping nor consumer tipping itself affect these other consumer outcomes. From a practical perspective, these results and conclusions inform efforts to increase or decrease tipping. Recommending larger tip amounts, at least within the $2–$10 or 5%–25% ranges studied here, appears to be a safe means of increasing the amounts customers leave. More generally, altering customers’ tipping behavior will not itself adversely affect those customers’ subsequent satisfaction, repatronage, or spending, as long as the means used to alter tipping do not directly affect these other outcomes. This paper was accepted by John List, behavioral economics.

Incentivizing Commuters to Carpool: A Large Field Experiment with Waze

2019 ◽  
Author(s):  
Maxime Cohen ◽  
Michael-David Fiszer ◽  
Avia Ratzon ◽  
Roy Sasson
Keyword(s):  
Field Experiment ◽  
Large Field
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