Zobrazeno 1 - 6
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pro vyhledávání: '"Jann Spiess"'
Autor:
Jann Spiess, Alberto Abadie
Publikováno v:
Journal of the American Statistical Association. 117:983-995
Nearest-neighbor matching is a popular nonparametric tool to create balance between treatment and control groups in observational studies. As a preprocessing step before regression, matching reduce...
Autor:
Katherine L. Milkman, Linnea Gandhi, Mitesh S. Patel, Heather N. Graci, Dena M. Gromet, Hung Ho, Joseph S. Kay, Timothy W. Lee, Jake Rothschild, Jonathan E. Bogard, Ilana Brody, Christopher F. Chabris, Edward Chang, Gretchen B. Chapman, Jennifer E. Dannals, Noah J. Goldstein, Amir Goren, Hal Hershfield, Alex Hirsch, Jillian Hmurovic, Samantha Horn, Dean S. Karlan, Ariella S. Kristal, Cait Lamberton, Michelle N. Meyer, Allison H. Oakes, Maurice E. Schweitzer, Maheen Shermohammed, Joachim Talloen, Caleb Warren, Ashley Whillans, Kuldeep N. Yadav, Julian J. Zlatev, Ron Berman, Chalanda N. Evans, Rahul Ladhania, Jens Ludwig, Nina Mazar, Sendhil Mullainathan, Christopher K. Snider, Jann Spiess, Eli Tsukayama, Lyle Ungar, Christophe Van den Bulte, Kevin G. Volpp, Angela L. Duckworth
Publikováno v:
Proceedings of the National Academy of Sciences. 119
Encouraging vaccination is a pressing policy problem. To assess whether text-based reminders can encourage pharmacy vaccination and what kinds of messages work best, we conducted a megastudy. We randomly assigned 689,693 Walmart pharmacy patients to
Autor:
Katherine L. Milkman, Dena Gromet, Hung Ho, Joseph S. Kay, Timothy W. Lee, Pepi Pandiloski, Yeji Park, Aneesh Rai, Max Bazerman, John Beshears, Lauri Bonacorsi, Colin Camerer, Edward Chang, Gretchen Chapman, Robert Cialdini, Hengchen Dai, Lauren Eskreis-Winkler, Ayelet Fishbach, James J. Gross, Samantha Horn, Alexa Hubbard, Steven J. Jones, Dean Karlan, Tim Kautz, Erika Kirgios, Joowon Klusowski, Ariella Kristal, Rahul Ladhania, George Loewenstein, Jens Ludwig, Barbara Mellers, Sendhil Mullainathan, Silvia Saccardo, Jann Spiess, Gaurav Suri, Joachim H. Talloen, Jamie Taxer, Yaacov Trope, Lyle Ungar, Kevin G. Volpp, Ashley Whillans, Jonathan Zinman, Angela L. Duckworth
Publikováno v:
Nature
Policy-makers are increasingly turning to behavioural science for insights about how to improve citizens’ decisions and outcomes(1). Typically, different scientists test different intervention ideas in different samples using different outcomes ove
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f7ad0d19766406dc5f9d9b6c67a8a75
https://resolver.caltech.edu/CaltechAUTHORS:20211216-65471400
https://resolver.caltech.edu/CaltechAUTHORS:20211216-65471400
We show how to optimally regulate prediction algorithms in a world where an agent uses complex 'black-box' prediction functions to make decisions such as lending, medical testing, or hiring, and where a principal is limited in how much she can learn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45e75caa9cd658636eab75443279d4d4
http://arxiv.org/abs/2110.03443
http://arxiv.org/abs/2110.03443
Publikováno v:
AEA Papers and Proceedings. 109:71-76
Concerns about the dissemination of spurious results have led to calls for pre-analysis plans (PAPs) to avoid ex-post “p-hacking.” But often the conceptual hypotheses being tested do not imply the level of specificity required for a PAP. In this
Autor:
Sendhil Mullainathan, Jann Spiess
Publikováno v:
Journal of Economic Perspectives. 31:87-106
Machines are increasingly doing “intelligent” things. Face recognition algorithms use a large dataset of photos labeled as having a face or not to estimate a function that predicts the presence y of a face from pixels x. This similarity to econom