Replication: Belief elicitation with quadratic and binarized scoring rules,” with Nisvan Erkal and Lata Gangadharan, 2020, Journal of Economic Psychology. [link]
(Previously titled:
 “Belief elicitation with binary outcomes: A comparison of quadratic and binarized scoring rules,” Working paper version available here.)

Researchers increasingly elicit beliefs to understand the underlying motivations of decision makers. Two commonly used methods are the quadratic scoring rule (QSR) and the binarized scoring rule (BSR). Hossain and Okui (2013) use a within-subject design to evaluate the performance of these two methods in an environment where subjects report probabilistic beliefs over binary outcomes with objective probabilities. In a near replication of their study, we show that their results continue to hold with a between-subject design. This is an important validation of the BSR given that researchers typically implement only one method to elicit beliefs. In favor of the BSR, reported beliefs are less accurate under the QSR than the BSR. Consistent with theoretical predictions, risk-averse subjects distort their reported beliefs under the QSR.

Monetary and non-monetary incentives in real-effort tournaments,” with Nisvan Erkal and Lata Gangadharan, 2018, European Economic Review, 101, 528-545. [link] [pdf] [instructions] [ztree codes]

Results from laboratory experiments using real-effort tasks provide mixed evidence on the relationship between monetary incentives and effort provision. To examine this issue, we design three experiments where subjects participate in two-player real-effort tournaments with two prizes. Experiment 1 shows that subjects exert high effort even if there are no monetary incentives, suggesting that non-monetary incentives are contributing to their effort choices. Moreover, increasing monetary incentives does not result in higher effort provision. Experiment 2 shows that the impact of non-monetary incentives can be reduced by providing subjects with the option of leaving the laboratory early, using an incentivized timeout button, or working on an incentivized alternative activity. Experiment 3 revisits the relationship between monetary incentives and effort provision using the insights from Experiment 2. Using a design with an incentivized alternative activity, we show that participants increase effort in response to monetary incentives. Taken together, the findings from the three experiments suggest that results from real-effort tasks require a careful evaluation and interpretation of the motivations underlying the observed performance.

Impact of rebates and refunds on contributions to threshold public goods: Evidence from a field experiment,” with Matthew Donazzan and Nisvan Erkal, 2016, Southern Economic Journal, 83(1), 69-86. [link] [pdf]

We investigate the impact of rebates and refunds on contributions to threshold public goods using evidence from a field experiment conducted in conjunction with an Australian charity, Life Goes On. We find that offering rebates and refunds has a significant positive impact on both participation and average donations in the absence of seed money. Our results suggest that offering rebates and refunds, and the existence of seed money may, to some extent, play substitute roles in encouraging giving behavior. Seed money has a significant positive effect on participation only. Seed money’s impact on average donations may be mitigated by a threshold effect.

Working Papers

By chance or by choice? Biased attribution of others’ outcomes,” with Nisvan Erkal and Lata Gangadharan. [pdf] (under review)
(Previously titled: “Attribution biases in leadership: Is it effort or luck?”)

Decision makers in positions of power often make unobserved choices under risk and uncertainty. In many cases, they face a trade-off between maximizing their own payoff and those of other individuals. What inferences are made in such instances about their choices when only outcomes are observable? Using a laboratory experiment, we investigate whether outcomes are attributed to luck or to choices. We show that attribution biases exist in the evaluation of good outcomes. In particular, decision makers receive too little credit for their successes. Importantly, these biases tend to be driven by individuals who make the selfish choice themselves when placed in the role of the decision maker.

Work in Progress

LGBTQI individuals, social preferences, and cooperation,” with Billur Aksoy and Ian Chadd.

The signals we give: Gender, feedback, and competition,” with Alexander Coutts and Zahra Murad.

Attribution biases, gender, and financial compensation,” with Nisvan Erkal and Lata Gangadharan.

Feedback and groups in contests,” with Kai Barron and Nisvan Erkal.