John A List, Zacharias Maniadis, Fabio Tufano
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In his comment, Mitesh Kataria (2014) makes three main points about a specific part of our paper (Maniadis, Tufano, and List 2014), namely about Tables 2 and 3. In our paper, we employ these tables in order to illustrate the idea that very inconclusive post-study probabilities that a tested phenomenon is true may result from novel, surprising findings. The main arguments in Kataria (2014) are the following: First, if P(H0) is unknown, as is often the case with economic applications, the post-study probability can lead to even worse inference than the Classical significance test, depending on the quality of the prior. Second, the simulation in Maniadis et al. (2014) ignores previous assessments of P(H0) and instead utilizes a selective empirical setup that favors the use of post-study probabilities. [Third,] contrary to what Maniadis et al. (2014) argue, their results do not allow for drawing general recommendations about which approach is the most appropriate. (Kataria 2014, abs.) We believe that our work might have been misunderstood by Kataria. Moreover, it seems that some of his claims are not supported by relevant empirical evidence.
Richard Carson , Theodore Groves , John A List
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Researchers, using contingent valuation (CV) to value changes in nonmarket goods, typically believe respondents always answer questions truthfully or they answer truthfully only when it is in their interest to do so. The second position, while consistent with economic theory, implies that interpreting survey responses depends critically on the incentive structure provided. We derive simple tests capable of distinguishing the two views. Our theoretical model for examining the incentive structure of a single binary choice relaxes the usual expected utility assumption. We test our theory using a field experiment involving voting to provide a public good. Experimental results are consistent theoretical predictions and cast doubt on the relevance of a large experimental literature using inconsequential questions and non-incentive-compatible mechanisms to make inferences about CV. The framework put forth should help in understanding the role played by theoretical conditions for preference elicitation and lend insight into the hypothetical bias literature.
Uri Gneezy, Kenneth Leonard, John A List
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This study uses a controlled experiment to explore whether there are gender differences in selecting into competitive environments across two distinct societies: the Maasai in Tanzania and the Khasi in India. One unique aspect of these societies is that the Maasai represent a textbook example of a patriarchal society whereas the Khasi are matrilineal. Similar to the extant evidence drawn from experiments executed in Western cultures, Maasai men opt to compete at roughly twice the rate as Maasai women. Interestingly, this result is reversed amongst the Khasi, where women choose the competitive environment more often than Khasi men, and even choose to compete weakly more often than Maasai men. We view these results as potentially providing insights into the underpinnings of the factors hypothesized to be determinants of the observed gender differences in selecting into competitive environments.
Daniel Houser, John A List, Anya Samek
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Young children have long been known to act selfishly and gradually appear to become more generous across middle childhood. While this apparent change has been well documented, the underlying mechanisms supporting this remain unclear. The current study examined the role of early theory of mind and executive functioning in facilitating sharing in a large sample (N = 98) of preschoolers. Results reveal a curious relation between early false-belief understanding and sharing behavior. Contrary to many commonsense notions and predominant theories, competence in this ability is actually related to less sharing. Thus, the relation between developing theory of mind and sharing may not be as straightforward as it seems in preschool age children. It is precisely the children who can engage in theory of mind that decide to share less with others.
Uri Gneezy, Moshe Hoffman, John A List
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We therefore agree with the sentiments of Bailey et al. (1) and Daly (2): Our study should not be viewed as the definitive study on this topic but as a proof of concept, which should propel researchers to exploit this unique sample to its fullest advantage. Further research using noncognitive measures, as well as alternative spatial measures would prove invaluable in addressing some of the shortcomings pointed out by Bailey et al. (1) and Daly (2). Moreover, such research would reveal the generality of our results and could focus activist efforts on traits that are most amenable to nurture. Also, if the measures are chosen to be more or less gender-dimorphic and more or less influenced by motivation, stereotype threat, and training, for example, this research, in addition to addressing some of the astute criticisms of Bailey et al. (1) and Daly (2), could also reveal mechanism, which would likewise be invaluable for focusing activists' efforts. We welcome collaboration with psychologists and anthropologists, such as the experts to whom this letter replies, to help us develop such measures of spatial and nonspatial cognitive abilities that are easy to explain and quick to implement, to take full advantage of this unique sample.
Omar Al-Ubaydli, Uri Gneezy, John A List, Min Sok Lee
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A stylized fact is that agents respond more acutely to negative than positive stimuli. Such findings have generated insights on mechanism-design, have been featured prominently in policymaking, and more generally have led to discussions of whether preferences are defined over consumption levels or changes in consumption. This study reconsiders this stylized fact. In doing so, it provides insights into an important domain wherein positive stimuli induce a greater response than negative stimuli: a principal-agent game with reputational considerations and with the agent on the market's short end. This common setting represents an important feature of labor markets with involuntary unemployment.
Craig Gallet, John A List
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This paper uses market share data to infer the nature of rivalry in the U.S. cigarette industry over the 1934-94 period. Unlike previous studies, which measure rivalry from various constructs of market share instability, we examine the time-series properties of market shares to determine whether or not rivalry is evident. Our empirical results imply that a majority of firm-level market shares are martingales, suggesting market shares have been unstable from 1934-94. This result leads us to conclude that rivalry in the cigarette industry has remained strong.
Shakun Mago, Anya Samek, Roman Sheremeta
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We experimentally investigate the effect of social identification and information feedback on individual behavior in contests. In all treatments we find significant over-expenditure of effort relative to the standard theoretical predictions. Identifying subjects through photo display decreases wasteful effort. Providing information feedback about others' effort does not affect the aggregate effort, but it decreases the heterogeneity of effort and significantly affects the dynamics of individual behavior. A behavioral model which incorporates a non-monetary utility of winning and relative payoff maximization explains significant over-expenditure of effort. It also suggests that decrease in 'social distance' between group members through social identification promotes pro-social behavior and decreases over-expenditure of effort, while improved information feedback decreases the heterogeneity of effort.
John A List
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Recently an abundance of experimental evidence has been gathered that is consonant with the notion that individual preferences are inconsistent and unstable. These empirical results potentially undermine the theoretical foundation of welfare economics, as the degree of preference liability claimed suggests that perhaps no optimization principles underlie even the most straightforward of choices. Yet policymakers in the environmental arena continue to prescribe policies based on economics-based methods that are constructed on the very principles that have been directly refuted. Are policymakers creatures of habit that move at glacial speed or is there something deeper behind their inertness? In this study, I explore this issue within the U.S. context and argue that there is some rationality behind current public policy decision making. I then explore whether the empirical evidence supports the view that policymakers should take preference anomalies seriously. As a case study, I focus on some of my recent findings on preference inconsistencies in the marketplace.
John A List, Jason F Shogren, Michael Spencer , Stephen Swallow
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This paper considers how six alternative rebate rules affect voluntary contributions in a threshold public-good experiment. The rules differ by (1) whether an individual can receive a proportional rebate of excess contributions, a winner-takes-all of any excess contributions, or a full rebate of one's contribution in the event the public good is provided and excess contributions exist, and (2) whether the probability of receiving a rebate is proportional to an individual's contribution relative to total contributions or is a simple uniform probability distribution set by the number of contributors. The paper adds to the existing experimental economics literature on threshold public goods by investigating both aggregate and individual demand revelation under the winner-take-all and random full-rebate rules. Half of the rules (proportional rebate, winner-take-all with uniform probability among all group members, and random full-rebate with uniform probability) provide total contributions that nearly equal total benefits, while the rest (winner-take-all with proportional probability, winner-take-all with uniform probability among contributors only, and random full-rebate with proportional probability) exceed benefits by over 30 percent. Only the proportional rebate rule is found to achieve both aggregate and individual demand revelation. Our experimental results have implications for both fundraisers and valuation practitioners.
Inkyoung Hur, Sung-Hee Kim, Anya Samek, Ji Soo Yi
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We investigate the effect of different interactive technologies on the decision-making process in an information search laboratory experiment. In our experiment, the participant makes a selection from a list of differently-valued objects with multiple attributes. We compare presenting information in static form to two methods of interactive presentation. In the first, the participant can manually sort objects by attribute, a capability similar to that found in spreadsheet software. In the second, we present an interactive visual tool that (1) automatically sorts all objects by attribute and (2) uses visual cues for comparisons. Manual sorting capability does not cause an improvement in decisions in this context. On the other hand, the visual tool increases the value of the objects selected by the participant and decreases time spent deliberating. We also find that our interactive presentations affect the decision-making process of participants by changing the number of intermediate options considered. Our results highlight the importance of investigating the effect of technology on information search, and suggest that appropriate interactive visual displays may improve search in practice.
John A List, Anya Samek
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An active area of research within economics concerns the underpinnings of why people give to charitable causes. This study takes a new approach to this question by exploring motivations for giving among children aged 3-5. Using data gathered from 122 children, our artefactual field experiment naturally permits us to disentangle pure altruism and warm glow motivators for giving. We find evidence for the existence of pure altruism but not warm glow. Our results suggest pure altruism is a fundamental component of our preferences, and highlight that warm glow preferences found amongst adults likely develop over time. One speculative hypothesis is that warm glow preferences are learned through socialization.
Gerhard Klimeck, Anya Samek
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We conducted an experiment with 30,000 users of a virtual nanotechnology facility, nanoHUB.org. We investigate the effect of virtual points and message framing on user participation in a survey. In one treatment, users receive points for completing the survey. In another treatment, users are exposed to a visual observation cue. We vary the social message, either emphasizing the private benefit to the user or the social benefit to the community of participation. Participation rates are increased through virtual points and for users receiving the private benefit messaging. The observation cue doesn't have an effect.
Craig Gallet, John A List, Peter Orazem
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The 1987 academic market was strong, whereas the 1997 market was weak. A multimarket theory of optimal search suggests that job seekers will respond to a weakening market by changing their search strategies at the extensive margin (which markets to enter) and the intensive margin (how many applications to submit per market). Employers respond to the weakening market by raising their hiring standards. High-quality applicants will obtain an increased share of academic interviews in weak markets while applicants from weaker schools will increasingly secure interviews outside of the academic market. Empirical results show that in the bust market, graduates of elite schools shifted their search strategies to include weaker academic institutions, while graduates of lower-ranked schools shifted their applications away from academia and toward the business sector. In bust conditions, academic institutions increasingly concentrate their interviews on elite school graduates, women, and U.S. residents
Ted Gayer, John Horowitz, John A List
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Clear Skies is an economist's approach to pollution reduction. We heartily endorse its core approach, while recommending surgery for a few minor blemishes.
Junsoo Lee, John A List, Mark Strazicich
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In this paper we examine temporal properties of eleven natural resource real price series from 1870-1990 by employing a Lagrangian Multiplier unit root test that allows for two endogenously determined structural breaks with and without a quadratic trend. Contrary to previous research, we find evidence against the unit root hypothesis for all price series. Our findings support characterizing natural resource prices as stationary around deterministic trends with structural breaks. This result is important in both a positive and normative sense. For example, without an appropriate understanding of the dynamics of a time series, empirical verification of theories, forecasting, and proper inference are potentially fruitless. More generally, we show that both pre-testing for unit roots with breaks and allowing for breaks in the forecast model can improve forecast accuracy.
Andreas Lange, John A List, Michael K Price
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Auction theory represents one of the richest areas of research in economics over the past three decades. Yet, whether, and to what extent, the introduction of secondary resale markets influences bidding behavior in sealed bid first-price auctions remains under researched. This study begins by examining field data from a unique data set that includes nearly 3,000 auctions (over 10,000 individual bids) for cutting rights of standing timber in British Columbia from 1996-2000. In comparing bidding patterns across agents who are likely to have resale opportunities with those who likely do not, we find evidence that is consistent with theory. Critical evaluation of the reduced-form bidding model, however, reveals that sharp tests of the theoretical predictions are not possible because several other differences may exist across these bidder types. We therefore use a laboratory experiment to examine if the resale opportunity by itself can have the predicted theoretical effect. We find that while it does have the predicted effect, a theoretical model based on risk-averse bidders explains the overall data patterns more accurately than a model based on risk-neutral bidders. Beyond testing theory, the paper highlights the inferential power of combining naturally occurring data with laboratory data.
Jared Rubin, Anya Samek, Roman Sheremeta
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Firms face an optimization problem that requires a maximal quantity output given a quality constraint. How firms should incentivize quantity and quality to meet these dual goals remains an open question. We provide a theoretical model and conduct an experiment in which participants are paid for both quantity and quality of a real effort task. Consistent with the theoretical predictions, higher quality incentives encourage participants to shift their attention from quantity to quality and to decrease the error rate at the expense of lowering quantity of output. This quantity-quality trade-off is significantly impacted by the participant's ability and level of loss aversion.
Junsoo Lee, John A List
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Despite its growth in other areas of economics,time series econometric methods have not been widespread in the area of environmental and resource economics. We illustrate one use of time series methods by examining the time path of US nitrogen oxide (NOx) emission data over the period 1900-1994. The analysis highlights that proper time series methods can aid in optimal regulatory policy as well as developing empirical verification of theories put forth to explain economic phenomena. In addition, several interesting results emerge. First, we find that the emissions series contains both a permanent and random component. Second, if one attributed all of the emissions reductions to regulatory policy, intervention analysis suggests that the 1970 Clean Air Act(CAA) did not merely have transitory effects,but permanently influenced the NOx emission path. In terms of total regulatory impact, an upper bound on the emissions saved due to the 1970 CAA is in the range of 27%-48%.
Anya Samek, Roman Sheremeta
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Recognizing donors by revealing their identities is important for increasing charitable giving. We conducted a field experiment to examine how different recognition methods impact giving, and found that all forms of recognition that we examined had a positive impact on increasing donations, whereby recognizing only highest donors (positive recognition) and recognizing only lowest donors (negative recognition) had the most pronounced effect. We argue that selective recognition (both positive and negative) creates tournament-like incentives. Recognizing the highest donors activates the desire to seek a positive prize of prestige, thus increasing the proportion of donors who contribute large amounts. Recognizing the lowest donors activates the desire to avoid a negative prize of shame, thus decreasing the proportion of donors who do not contribute or contribute very little. Therefore, selective recognition is an effective tool that can be used in the field by charities to increase donations.