Papers - Michael K Price

Alec Brandon, Christopher M Clapp, John A List, Robert D Metcalfe, Michael K Price

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Smart-home technologies have been heralded as an important way to increase energy conservation. While in vitro engineering estimates provide broad optimism, little has been done to explore whether such estimates scale beyond the lab. We estimate the causal impact of smart thermostats on energy use via two novel framed field experiments in which a random subset of treated households have a smart thermostat installed in their home. Examining 18 months of associated high-frequency data on household energy consumption, yielding more than 16 million hourly electricity and daily natural gas observations, we find little evidence that smart thermostats have a statistically or economically significant effect on energy use. We explore potential mechanisms using almost four million observations of system events including human interactions with their smart thermostat. Results indicate that user behavior dampens energy savings and explains the discrepancy between estimates from engineering models, which assume a perfectly compliant subject, and actual households, who are occupied by users acting in accord with behavioral economists' conjectures. In this manner, our data document a keen threat to the scalability of new user-based technologies.

Alec Brandon, John A List, Robert D Metcalfe, Michael K Price, Florian Rundhammer

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This study considers the response of household electricity consumption to social nudges during peak load events. Our investigation considers two social nudges. The first targets conservation during peak load events, while the second promotes aggregate conservation. Using data from a natural field experiment with 42,100 households, we find that both social nudges reduce peak load electricity consumption by 2 to 4% when implemented in isolation and by nearly 7% when implemented in combination. These findings suggest an important role for social nudges in the regulation of electricity markets and a limited role for crowd out effects.

Andreas Loschel, Michael K Price, Laura Razzolini, Madeline Werthschulte

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This study explores whether negative income shocks from the COVID-19 pandemic affect the demand for environmental policy. By running a survey in Germany in May 2020, we show that there is a large and negative correlation between the COVID-19 income shocks and the willingness to support green policies. Importantly, this relation is separate from the effect of long-run income. Building on the first evidence, our study provides directions for future valuation studies. Specifically, our results provide a proof of concept that welfare analyses based on willingness-to-pay estimates to assess the benefits of an environmental good or the cost of an environmental damage may be downward biased if temporary changes in income are not considered.

Matilde Giaccherini, David H Herberich, David Jimenez-Gomez, John A List, Giovanni Ponti, Michael K Price

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This paper uses a field experiment to estimate the effects of prices and social norms on the decision to adopt and efficient technology. We find that prices and social norms influence the adoption and decision along different margins: while prices operate on both the extensive and intensive margins, social norms operate mostly through the extensive margin. This has both positive and normative implications, and suggests that economics and psychology may be strong complements in the diffusion process. To complement the reduced form results, we estimate a structural model that points to important household heterogeneity: whereas some consumers welcome the opportunity to purchase and learn about the new technology, for others the inconvenience and social pressure of the ask results in negative welfare. As a whole, our findings highlight that the design of optimal technological diffusion policies will require multiple instruments and a recognition of household heterogeneity.

Alexander G James, John A List, James J Murphy, Michael K Price

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We partnered with Alaska's Pick.Click.Give. Charitable Contributions Program to implement a statewide natural field experiment with 540,000 Alaskans designed to explore whether targeted appeals emphasizing donor benefits through warm glow impact donations. Results highlight the relative import of appeals to self. Individuals who received such an appeal were 4.5 percent more likely to give and gave 20 percent more than counterparts in the control group. Yet, a message that instead appealed to recipient benefits had no effect on average donations relative to the control group. We also find evidence of long-run effects of warm glow appeals in the subsequent year.

Alec Brandon, John A List, Robert D Metcalfe, Michael K Price, Florian Rundhammer

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This study considers the response of household electricity consumption to social nudges during peak load events. Our investigation considers two social nudges. The first targets conservation during peak load events, while the second promotes aggregate conservation. Using data from a natural field experiment with 42,100 households, we find that both social nudges reduce peak load electricity consumption by 2 to 4% when implemented in isolation and by nearly 7% when implemented in combination. These findings suggest an important role for social nudges in the regulation of electricity markets and a limited role for crowd out effects.

James Cox, John A List, Michael K Price, Vjollca Sadiraj, Anya Samek

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The literature exploring other regarding behavior sheds important light on interesting social phenomena, yet less attention has been given to how the received results speak to foundational assumptions within economics. Our study synthesizes the empirical evidence, showing that recent work challenges convex preference theory but is largely consistent with rational choice theory. Guided by this understanding, we design a new, more demanding test of a central tenet of economics - the contraction axiom - within a sharing framework. Making use of more than 325 dictators participating in a series of allocation games, we show that sharing choices violate the contraction axiom. We advance a new theory that augments standard models with moral reference points to explain our experimental data. Our theory also organizes the broader sharing patterns in the received literature.

John A List, William S Neilson, Michael K Price

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Recent theoretical and empirical studies have explored the effect of group membership and identity on individual decision-making. This line of research highlights that economic models focusing on the individual as the sole entity in the decision-making environment potentially miss critical features. This study takes this literature in a new direction by overlaying a field experiment onto a setting where groups have arisen naturally. Our experimental laboratory is large open air markets, where we are able to examine the effects of group membership on seller's collusive behavior as measured by prices and surplus allocations. This permits us to explore strategic implications of group composition. Empirical results illustrate the importance of group composition on pricing decisions, and show that deviations from Nash equilibrium are crucially related to group membership.

Alec Brandon, Paul J Ferraro, John A List, Robert D Metcalfe, Michael K Price, Florian Rundhammer

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This study examines the mechanisms underlying long-run reductions in energy consumption caused by a widely studied social nudge. Our investigation considers two channels: physical capital in the home and habit formation in the household. Using data from 38 natural field experiments, we isolate the role of physical capital by comparing treatment and control homes after the original household moves, which ends treatment. We find 35 to 55 percent of the reductions persist once treatment ends and show this is consonant with the physical capital channel. Methodologically, our findings have important implications for the design and assessment of behavioral interventions.

Shachar Kariv, Daniel J. Lee, John A List, Michael K Price

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We build on previous work in the charitable giving literature by examining not only how much subjects give to charity, but also which charities subjects prefer. We operationalize this choice in an artefactual field experiment with a representative sample of respondents. We then use these data to structurally model motives for giving. The novelty of this design allows us to ask several interesting questions regarding the choices one undertakes when deciding both whether and how much to give to charity. Further, we ask these questions in the context of a standard utility framework. Given the unique set up of this experiment, we also explore how these distributional preference parameters differ by charity choice and from what we have observed in the past. We find that there is more variation within demographics and charity types than across distributions.