Loss Aversion and the Quantity-Quality Tradeoff
Jared Rubin,
Anya Samek and
Roman Sheremeta
Working Papers from Chapman University, Economic Science Institute
Abstract:
Firms face an optimization problem that requires a maximal quantity output given a quality constraint. But how do firms incentivize quantity and quality to meet these dual goals, and what role do behavioral factors, such as loss aversion, play in the tradeoffs workers face? We address these questions with a theoretical model and an experiment in which participants are paid for both quantity and quality of a real effort task. Consistent with basic economic theory, higher quality incentives encourage participants to shift their attention from quantity to quality. However, we also find that loss averse participantsshift their attention from quality to quantity to a greater degree when quality is weakly incentivized. These results can inform managers of appropriate ways to structure contracts, and suggest benefits to personalizing contracts based on individual behavioral characteristics.
Keywords: quantity; quality; experiment; incentives; real effort; loss aversion (search for similar items in EconPapers)
JEL-codes: D24 J24 J31 J41 (search for similar items in EconPapers)
Date: 2017
New Economics Papers: this item is included in nep-cbe, nep-exp, nep-hrm, nep-lma and nep-upt
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://www.chapman.edu/research/institutes-and-ce ... ity-quality-2017.pdf
Related works:
Journal Article: Loss aversion and the quantity–quality tradeoff (2018) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:chu:wpaper:17-20
Access Statistics for this paper
More papers in Working Papers from Chapman University, Economic Science Institute Contact information at EDIRC.
Bibliographic data for series maintained by Megan Luetje ().