1,721,031 research outputs found
A structural analysis of disappointment aversion in a real effort competition
Full text linkWe develop a novel computerized real effort task, based on moving sliders across a screen, to test experimentally whether agents are disappointment averse when they compete in a real effort sequential-move tournament. Our theory predicts that a disappointment averse agent, who is loss averse around her endogenous expectations-based reference point, responds negatively to her rival's effort. We find significant evidence for this discouragement effect, and use the Method of Simulated Moments to estimate the strength of disappointment aversion on average and the heterogeneity in disappointment aversion across the population
A structural analysis of disappointment aversion in a real effort competition
No full textWe develop a novel computerized real effort task, based on moving sliders across a screen, to test experimentally whether agents are disappointment averse when they compete in a real effort sequential-move tournament. Our theory predicts that a disappointment averse agent, who is loss averse around her endogenous expectations-based reference point, responds negatively to her rival’s effort. We find significant evidence for this discouragement effect, and use the Method of Simulated Moments to estimate the strength of disappointment aversion on average and the heterogeneity in disappointment aversion across the population
A novel computerized real effort task based on sliders
Full text linkIn this note, we present a novel computerized real effort task based on moving sliders across a screen which overcomes many of the drawbacks of existing real effort tasks. The task was first developed and used by us in Gill and Prowse (forthcoming). We outline the design of our \slider task", describe its advantages compared to existing real effort tasks and provide a statistical analysis of the behavior of subjects undertaking the task. We believe that the task will prove valuable to researchers in designing future real effort experiments, and to this end we provide z-Tree code and guidance to assist researchers wishing to implement the slider task
Cheating in the workplace: An experimental study of the impact of bonuses and productivity
Full text linkWe use an online real-effort experiment to investigate how bonus-based pay and worker productivity interact with workplace cheating. Firms often use bonus-based compensation plans, such as group bonuses and firm-wide profit sharing, that induce considerable uncertainty in how much workers are paid. Exposing workers to a compensation scheme based on random bonuses makes them cheat more but has no effect on their productivity. We also find that more productive workers behave more dishonestly. These results are consistent with workers’ cheating behavior responding to the perceived fairness of their employer’s compensation scheme
Replication Data for: "Using Goals to Motivate College Students: Theory and Evidence from Field Experiments"
No full textClark, Damon, Gill, David, Prowse, Victoria, and Rush, Mark, (2020) “Using Goals to Motivate College Students: Theory and Evidence from Field Experiments.” Review of Economics and Statistics 102:4, 648-663
Replication Data for: "Using Goals to Motivate College Students: Theory and Evidence from Field Experiments"
No full textClark, Damon, Gill, David, Prowse, Victoria, and Rush, Mark, (2020) “Using Goals to Motivate College Students: Theory and Evidence from Field Experiments.” Review of Economics and Statistics 102:4, 648-663
A novel computerized real effort task based on sliders
Full text linkIn this note, we present a novel computerized real effort task based on moving sliders across a screen which overcomes many of the drawbacks of existing real effort tasks. The task was first developed and used by us in Gill and Prowse (2009). We outline the design of our “slider task”, describe its advantages compared to existing real effort tasks and provide a statistical analysis of the behavior of subjects undertaking the task. We believe that the task will prove valuable to researchers in designing future real effort experiments
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Essays on Labor Economics
No full textThis dissertation is composed of three essays on labor economics. First, I examine the effect of the rapid rise in binge watching on reported crime. I use conditionally exogenous variation in the runtime of newly released Netflix Originals to identify the effect of binge watching on reported crime. I find that binge watching reduces crime contemporaneously and in the first three days that the new content is available. I find no evidence that binge watching reduces total crime reported over a nearly two week period after new content becomes available. Second, I replicate a well-known paper by Card and Dahl (2011) which examines the effect of emotional cues on violent crime. I confirm their baseline result while using their original study design from 1995–2006. I expand on their analysis by expanding the time series of their original data and using new data. I find their baseline result is not robust using out-of-sample data from 2007–2019. Third, I estimate the effect of cell phones on traffic accidents by using the expansion of the Lifeline Assistance Program as an exogenous shock to the stock of cell phones, I use a difference-in-differences quasi-experimental design to find that cell phones causally increase traffic fatalities when those cell phones are made available in states with no restrictions to cell phone use while driving and states that ban texting while driving and require hands-free calling. In addition, I find that additional cell phones have no effect when states have only one restriction on cell phone use while driving—implying that the optimal policy to reduce traffic fatalities is to ban texting while driving
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