Sarah Ahmed , John Beshears , James Choi , Joelle Friedman , Jonathan Kolstad, Suzanne Linck , John A List, George Loewenstein, Brigitte Madrain , Barbara McGill, Stacey Sinkula , Kevin Volpp
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We report results from two surveys of representative samples of Americans with private health insurance. The first examines how well Americans understand, and believe they understand, traditional health insurance coverage. The second examines whether those insured under a simplified all-copay insurance plan will be more likely to engage in cost-reducing behaviors relative to those insured under a traditional plan with deductibles and coinsurance, and measures consumer preferences between the two plans. The surveys provide strong evidence that consumers do not understand traditional plans and would better understand a simplified plan, but weaker evidence that a simplified plan would have strong appeal to consumers or change their healthcare choices.
Richard C Bishop, Kevin J Boyle, Richard T Carson, David Chapman, Matthew DeBell, Colleen Donovan, W. Michael Hanemann, Barbara Kanninen, Matthew Konopka, Raymond J Kopp, Jon A Krosnick, John A List, Norman Meade, Robert Paterson, Stanley Presser, Nora Scherer, V. Kerry Smith, Roger Tourangeau, Michael Welsh, Jeffrey M Wooldridge
Cited by*: 0 Downloads*: 78

No abstract available
Daniel J Benjamin, James O Berger, Magnus Johannesson, Brian A Nosek, E. J Wagenmakers, Richard Berk, Kenneth A Bollen, Bjorn Brembs, Lawrence Brown, Colin F Camerer, David Cesarini, Christopher D. Chambers, Merlise Clyde, Thomas D Cook, Paul De Boeck, Zoltan Dienes, Anna Dreber, Kenny Easwaran, Charles Efferson, Ernst Fehr, Fiona Fidler, Andy P. Field, Malcom Forster, Edward I. George, Tarun Ramadorai, Richard Gonzalez, Steven Goodman, Edwin Green, Donald P Green, Anthony Greenwald, Jarrod D. Hadfield, Larry V. Hedges, Leonhard Held, Teck Hau Ho, Herbert Hoijtink, James Holland Jones, Daniel J Hruschka, Kosuke Imai, Guido Imbens, John P.A. Ioannidis, Minjeong Jeon, Michael Kirchler, David Laibson , John A List, Roderick Little, Arthur Lupia, Edouard Machery, Scott E. Maxwell, Michael McCarthy, Don Moore, Stephen L. Morgan, Marcus Munafo, Shinichi Nakagawa, Brendan Nyhan, Timothy H Parker, Luis Pericchi, Marco Perugini, Jeff Rouder, Judith Rousseau, Victoria Savalei, Felix D. Schonbrodt, Thomas Sellke, Betsy Sinclair, Dustin Tingley, Trisha Van Zandt, Simine Vazire, Duncan J. Watts, Christopher Winship, Robert L. Wolpert, Yu Xie, Cristobal Young, Jonathan Zinman, Valen E. Johnson
Cited by*: 1 Downloads*: 965

We propose to change the default P-value threshold for statistical significance for claims of new discoveries from 0.05 to 0.005.
Uri Gneezy, John A List, Jeffrey A Livingston, Xiangdong Qin, Sally Sadoff, Yang Xu
Cited by*: 1 Downloads*: 124

Tests measuring and comparing educational achievement are an important policy tool. We experimentally show that offering students extrinsic incentives to put forth effort on such achievement tests has differential effects across cultures. Offering incentives to U.S. students, who generally perform poorly on assessments, improved performance substantially. In contrast, Shanghai students, who are top performers on assessments, were not affected by incentives. Our findings suggest that in the absence of extrinsic incentives, ranking countries based on low-stakes assessments is problematic because test scores reflect differences in intrinsic motivation to perform well on the test itself, and not just differences in ability.
Ufuk Akcigit, Fernando Alvarez, Stephane Bonhomme, George M Constantinides, Douglas W Diamond, Eugene F Fama, David W Galenson, Michael Greenstone, Lars Peter Hansen, Uhlig Harald, James J Heckman, Ali Hortacsu, Emir Kamenica, Greg Kaplan, Anil K Kashyap, Steven D Levitt, John A List, Robert E Lucas Jr., Magne Mogstad, Roger Myerson, Derek Neal, Canice Prendergast, Raghuram G Rajan, Philip J Reny, Azeem M Shaikh, Robert Shimer, Hugo F Sonnenschein, Nancy L Stokey, Richard H Thaler, Robert H Topel, Robert Vishny, Luigi Zingales
Cited by*: 0 Downloads*: 207

No abstract available
Greg Allenby, Russell Belk, Catherine Eckel, Robert Fisher, Ernan Haruvy, John A List, Yu Ma, Peter Popkowski Leszczyc, Yu Wang, Sherry Xin Li
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We offer a unified conceptual, behavioral, and econometric framework for optimal fundraising that deals with both synergies and discrepancies between approaches from economics, consumer behavior, and sociology. The purpose is to offer a framework that can bridge differences and open a dialogue between disciplines in order to facilitate optimal fundraising design. The literature is extensive, and our purpose is to offer a brief background and perspective on each of the approaches, provide an integrated framework leading to new insights, and discuss areas of future research.
Robert T Ammerman, Anne K Duggan, John A List, Lauren Supplee, Dana L Suskind
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The goal of creating evidence-based programs is to scale them at sufficient breadth to support population-level improvements in critical outcomes. However, this promise is challenging to fulfill. One of the biggest issues for the field is the reduction in effect sizes seen when a program is taken to scale. This paper discusses an economic perspective that identifies the underlying incentives in the research process that lead to scale up problems and to deliver potential solutions to strengthen outcomes at scale. The principles of open science are well aligned with this goal. One prevention program that has begun to scale across the United States is early childhood home visiting. While there is a substantial impact research on home visiting, overall average effect size is .10 and a recent national randomized trial found attenuated effect sizes in programs implemented under real-world conditions. The paper concludes with a case study of the relevance of the economic model and open science in developing and scaling evidence-based home visiting. The case study considers how the traditional approach for testing interventions has influenced home visiting's evolution to date and how open science practices could have supported efforts to maintain impacts while scaling home visiting. It concludes by considering how open science can accelerate the refinement and scaling of home visiting interventions going forward, through accelerated translation of research into policy and practice.
U. Rashid Sumalia, Daniel J Skerritt, Anna Schuhbauer, Sebastian Villasante, Andres M Cisneros-Montemayor, Hussain Sinan, Duncan Burnside, Patrízia Raggi Abdallah, Keita Abe, Juliano Palacios Abrantes, Kwasi A Addo, Julia Adelsheim, Ibukun J Adewumi, Olanike K Adeyemo, Neil Adger, Joshua Adotey, Sahir Advani, Zahidah Afrin, Denis Aheto, Shehu L Akintola, Wisdom Akpalu, Lubna Alam, Juan José Alava, Edward H Allison, Diva J Amon, John M Anderies, Christopher M Anderson, Evan Andrews, Ronaldo Angelini, Zuzy Anna, Werner Antweiler, Evans K Arizi, Derek Armitage, Robert I Arthur, Noble Asare, Frank Asche, Berchie Asiedu, Francis Asuquo, Marta Flotats Aviles, Lanre Badmus, Megan Bailey, Natalie Ban, Edward B Barbier, Shanta Barley, Colin Barnes, Scott Barrett, Xavier Basurto, Dyhia Belhabib, Nathan J Bennett, Elena Bennett, Dominique Benzaken, Robert Blasiak, John J Bohorquez, Cesar Bordehore, Virginie Bornarel, David R Boyd, Denise Breitburg, Cassandra Brooks, Lucas Brotz, Duncan Burnside, Donovan Campbell, Sara Cannon, Ling Cao, Juan C Cardenas Campo, Griffin Carpenter, Steve Carpenter, Richard T Carson, Adriana R Carvalho, Mauricio Castrejón, Alex J Caveen, M Nicole Chabi, Kai M A Chan, F Stuart Chapin, Tony Charles, William Cheung, Villy Christensen, Ernest O Chuku, Trevor Church, Andrés M Cisneros-Montemayor, Colin Clark, Tayler M Clarke, Andreea L Cojocaru, Brian Copeland, Brian Crawford, Anne-Sophie Crépin, Larry B Crowder, Philippe Cury, Allison N Cutting, Gretchen C Daily, Jose Maria Da-Rocha, Abhipsita Das, Savior K S Deikumah, Mairin Deith, Santiago de la Puente, Boris Dewitte, Nancy Doubleday, Carlos M Duarte, Nicholas K Dulvy, Bárbara B Horta e Costa, Tyler Eddy, Maeghan Efford, Paul R Ehrlich, Laura G Elsler, Kafayat A Fakoya, A Eyiwunmi Falaye, Jessica Fanzo, Clare Fitzsimmons, Ola Flaaten, Katie R N Florko, Carl Folke, Andrew Forrest, Peter Freeman, Kátia M F Freire, Rainer Froese, Thomas L Frölicher, Austin Gallagher, Veronique Garcon, Maria A Gasalla, Mark Gibbons, Kyle Gillespie, Alfredo Giron-Nava, Kristina Gjerde, Sarah Glaser, Christopher Golden, Line Gordon, Hugh Govan, Rowenna Gryba, Benjamin S Halpern, Quentin Hanich, Mafaniso Hara, Christopher D G Harley, Sarah Harper, Michael Harte, Rebecca Helm, Cullen Hendrix, Christina C Hicks, Lincoln Hood, Carie Hoover, Kristen Hopewell, Jonathan D R Houghton, Johannes A Iitembu, Moenieba Isaacs, Sadique Isahaku, Gakushi Ishimura, Monirul Islam, Ibrahim Issifu, Jeremy Jackson, Jennifer Jacquet, Olaf P Jensen, Xue Jin, Alberta Jonah, Jean-Baptiste Jouffray, S Kim Juniper, Sufian Jusoh, Isigi Kadagi, Masahide Kaeriyama, Michel J Kaiser, Brooks Alexandra Kaiser, Omu Kakujaha-Matundu, Selma T Karuaihe, Mary Karumba, Jennifer D Kemmerly, Ahmed S Khan, Katrick Kimani, Kristin Kleisner, Nancy Knowlton, Dawn Kotowicz, John Kurien, Lian E Kwong, Steven Lade, Dan Laffoley, Vicky W L Lam, Glenn-Marie Lange, Mohd T Latif, Philippe Le Billon, Valérie Le Brenne, Frédéric Le Manach, Simon A Levin, Lisa Levin, Karin E Limburg, John A List, Amanda T Lombard, Priscila F M Lopes, Heike K Lotze, Tabitha G Mallory, Roshni S Mangar, Daniel Marszalec, Precious Mattah, Juan Mayorga, Carol Mcausland, DOuglas J McCauley, Jeffrey McLean, Karley McMullen, Frank Meere, Annie Mejaes, Michael Melnychuk, Jaime Mendo, Fiorenza Micheli, Katherine Millage, Dana Miller, Kolliyil Sunil Mohamed, Essam Mohammed, Mazlin Mokhtar, Lance Morgan, Umi Muawanah, Gordon R Munro, Grant Murray, Saleem Mustafa, Prateep Nayak, Dianne Newell, Tu Nguyen, Frederik Noack, Adibi M Nor, Francis K E Nunoo, David Obura, Tom Okey, Isaac Okyere, Paul Onyango, Maartje Oostdijk, Polina Orlov, Henrik Österblom, Tessa Owens, Dwight Owens, Mohammed Oyinlola, Nathan Pacoureau, Evgeny Pakhomov, Unai Pascual, Aurélien Paulmier, Daniel Pauly, Rodrigue Orobiyi Edéya Pèlèbè, Daniel Peñalosa, Maria G Pennino, Garry Peterson, Thuy T T Pham, Evelyn Pinkerton, Stephen Polasky, Nicholas V C Polunin, Ekow Prah, Ingrid Van Putten, Jorge Ramírez, Jorge Jimenez Ramon, Veronica Relano, Gabriel Reygondeau, Don Robadue, Callum Roberts, Alex Rogers, Katina Roumbedakis, Enric Sala, Gret Van Santen, Marten Scheffer, Anna Schuhbauer, Kathleen Segerson, Juan Carlos Seijo, Karen C Seto, Jason F Shogren, Jennifer J Silver, Hussain Sinan, Gerald Singh, Daniel J Skerritt, Ambre Soszynski, Dacotah-Victoria Splichalova, Margaret Spring, Jesper Stage, Fabrice Stephenson, Bryce D Stewart, Riad Sultan, U Rashid Sumaila, Curtis Suttle, Alessandro Tagliabue, Amadou Tall, Nicolás Talloni-Álvarez, Alessandro Tavoni, D R Fraser Taylor, Lydia C L Teh, Louise S L Teh, Jean-Baptiste Thiebot, Torsten Thiele, Shakuntala H Thilsted, Romola V Thumbadoo, Michelle Tigchelaar, Richard S J Tol, Philippe Tortell, Max Troell, M Selçuk Uzmanoglu, Sebastian Villasante, Juan Villaseñor-Derbez, Colette C C Wabnitz, Melissa Walsh, J P Walsh, Nina Wambiji, Elke U Weber, Frances Westley, Stella Williams, Mary S Wisz, Boris Worm, Lan Xiao, Nobuyuki Yagi, Satoshi Yamazaki, Hong Yang, Aart de Zeeuw, Dirk Zeller
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Letter in Science Magazine
Lenka Fiala, John Eric Humphries, Juanna S Joensen, Uditi Karna, John A List, Gregory Veramendi
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Leveraging data from Sweden and Chicago, we study the educational pipeline for STEM and economics majors to better understand the determinants of the gender gap, and when these determinants arise. We present three findings. First, females are less likely to select STEM courses in high school, despite equal or better preparation. Second, there are important gender differences in preferences and beliefs, even conditional on ability. Third, early differences in preferences and beliefs explain more of the gaps in high school sorting than other candidate variables. High school sorting then explains a large portion of the gender difference in college majors.
Katherine L. Milkman, Sean F. Ellis, Dena M. Gromet, Youngwoo Jung, Alex S. Luscher, Rayyan S. Mobarak, Madeline K. Paxson, Ramon A. Silvera Zumaran, Robert Kuan, Ron Berman, Neil A. Lewis Jr, John A. List, Mitesh S. Patel, Christophe Van den Bulte, Kevin G. Volpp, Maryann V. Beauvais, Jonathon K. Bellows, Cheryl A. Marandola, Angela L. Duckworth
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Encouraging routine COVID-19 vaccinations will probably be a crucial policy challenge for decades to come. To avert hundreds of thousands of unnecessary hospitalizations and deaths, adoption will need to be higher than it was in the autumn of 2022 or 2023, when less than one-fifth of Americans received booster vaccines. One approach to encourage vaccination is to eliminate the friction of transportation hurdles. Previous research has shown that friction can hinder follow-through and that individuals who live farther from COVID-19 vaccination sites are less likely to get vaccinated. However, the value of providing free round-trip transportation to vaccination sites is unknown. Here we show that offering people free round-trip Lyft rides to pharmacies has no benefit over and above sending them behaviourally informed text messages reminding them to get vaccinated. We determined this by running a megastudy with millions of CVS Pharmacy customers in the United States testing two effects: free round-trip Lyft rides to CVS Pharmacies for vaccination appointments, and seven different sets of behaviourally informed vaccine reminder messages. Our results suggest that offering previously vaccinated individuals free rides to vaccination sites is not a good investment in the United States, which is contrary to the high expectations of both expert and lay forecasters. Instead, people in the United States should be sent behaviourally informed COVID-19 vaccination reminders, which increased the 30-day COVID-19 booster uptake by 21% (1.05 percentage points) and spilled over to increase 30-day influenza vaccinations by 8% (0.34 percentage points) in our megastudy. More rigorous testing of interventions to promote vaccination is needed to ensure that evidence-based solutions are deployed widely and that ineffective but intuitively appealing tools are discontinued.