Fintech, Racial Equity, and an Inclusive Financial System
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Artificial Intelligence, Automation, and Work
Artificial Intelligence, Automation, and Work The Economics of Artifi cial Intelligence National Bureau of Economic Research Conference Report The Economics of Artifi cial Intelligence: An Agenda Edited by Ajay Agrawal, Joshua Gans, and Avi Goldfarb The University of Chicago Press Chicago and London The University of Chicago Press, Chicago 60637 The University of Chicago Press, Ltd., London © 2019 by the National Bureau of Economic Research, Inc. All rights reserved. No part of this book may be used or reproduced in any manner whatsoever without written permission, except in the case of brief quotations in critical articles and reviews. For more information, contact the University of Chicago Press, 1427 E. 60th St., Chicago, IL 60637. Published 2019 Printed in the United States of America 28 27 26 25 24 23 22 21 20 19 1 2 3 4 5 ISBN-13: 978-0-226-61333-8 (cloth) ISBN-13: 978-0-226-61347-5 (e-book) DOI: https:// doi .org / 10 .7208 / chicago / 9780226613475 .001 .0001 Library of Congress Cataloging-in-Publication Data Names: Agrawal, Ajay, editor. | Gans, Joshua, 1968– editor. | Goldfarb, Avi, editor. Title: The economics of artifi cial intelligence : an agenda / Ajay Agrawal, Joshua Gans, and Avi Goldfarb, editors. Other titles: National Bureau of Economic Research conference report. Description: Chicago ; London : The University of Chicago Press, 2019. | Series: National Bureau of Economic Research conference report | Includes bibliographical references and index. Identifi ers: LCCN 2018037552 | ISBN 9780226613338 (cloth : alk. paper) | ISBN 9780226613475 (ebook) Subjects: LCSH: Artifi cial intelligence—Economic aspects. Classifi cation: LCC TA347.A78 E365 2019 | DDC 338.4/ 70063—dc23 LC record available at https:// lccn .loc .gov / 2018037552 ♾ This paper meets the requirements of ANSI/ NISO Z39.48-1992 (Permanence of Paper). -
European Union Law Working Papers
Stanford – Vienna Transatlantic Technology Law Forum A joint initiative of Stanford Law School and the University of Vienna School of Law European Union Law Working Papers No. 49 An Analysis of Articles 15 and 17 of the EU Directive on Copyright in the Digital Single Market: a boost for the creative industries or the death of the internet? Diana Passinke 2020 European Union Law Working Papers Editors: Siegfried Fina and Roland Vogl About the European Union Law Working Papers The European Union Law Working Paper Series presents research on the law and policy of the European Union. The objective of the European Union Law Working Paper Series is to share “works in progress”. The authors of the papers are solely responsible for the content of their contributions and may use the citation standards of their home country. The working papers can be found at http://ttlf.stanford.edu. The European Union Law Working Paper Series is a joint initiative of Stanford Law School and the University of Vienna School of Law’s LLM Program in European and International Business Law. If you should have any questions regarding the European Union Law Working Paper Series, please contact Professor Dr. Siegfried Fina, Jean Monnet Professor of European Union Law, or Dr. Roland Vogl, Executive Director of the Stanford Program in Law, Science and Technology, at: Stanford-Vienna Transatlantic Technology Law Forum http://ttlf.stanford.edu Stanford Law School University of Vienna School of Law Crown Quadrangle Department of Business Law 559 Nathan Abbott Way Schottenbastei 10-16 Stanford, CA 94305-8610 1010 Vienna, Austria About the Author Diana Passinke is a graduate of the University of Vienna, where she earned her LLM degree in European and International Business Law with distinction in 2020. -
Chairmen Insist on Public Plan Blue Dogs Remain Opposed
VOL. 54, NO. 143 WEDNESDAY, JUNE 10, 2009 $3.75 Chairmen Insist On Public Plan Blue Dogs Remain Opposed By Steven T. Dennis and Tory Newmyer ROLL CALL STAFF House Democratic chairmen plan to disregard conservative Blue Dogs who are opposing a government-sponsored health in- surance plan as part of a sweeping reform bill, in what is shaping up to be the biggest internal battle of President Barack Obama’s young agenda. Just days after Blue Dogs insist- ed that no public option be includ- Bill Clark/Roll Call ed in the package — except as a Sen. Chris Dodd, seen at a news conference Tuesday on the impact of high health costs, is right in possible fallback that could be the middle of issues at the top of the Congressional agenda — and he faces a tough re-election fight. “triggered” years from now — the File Photo powerful chairmen unveiled a draft Rep. Charlie Rangel: “We’re bill that strongly backs a public op- going to have a public plan.” Dodd Juggles Triple Challenge tion without such a trigger. “There won’t be any considera- of writing the bill — Rangel, En- By David M. Drucker Housing and Urban Affairs chair- tion of the trigger,” Ways and ergy and Commerce Chairman and Emily Pierce K Street has mixed views of man, but he also is acting as a stand- Means Chairman Charlie Rangel Henry Waxman (D-Calif.) and ROLL CALL STAFF health proposal, p. 9. in for an ailing Health, Education, (D-N.Y.) said. “We’re going to Education and Labor Chairman President Barack Obama’s am- Labor and Pensions Chairman Ed- have a public plan and we’re not George Miller (D-Calif.) — re- bitious goals of rewriting the books thin Sen. -
C:\Working Papers\7804.Wpd
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When Should You Adjust Standard Errors for Clustering?
When Should You Adjust Standard Errors for Clustering? Alberto Abadie Susan Athey Guido W. Imbens Jeffrey Wooldridge October, 2017 Working Paper No. 17-030 When Should You Adjust Standard Errors for Clustering?∗ Alberto Abadie† Susan Athey‡ Guido W. Imbens§ Jeffrey Wooldridge¶ October 2017 Abstract In empirical work in economics it is common to report standard errors that account for clustering of units. Typically, the motivation given for the clustering adjustments is that unobserved components in outcomes for units within clusters are correlated. However, because correlation may occur across more than one dimension, this motivation makes it difficult to justify why researchers use clustering in some dimensions, such as geographic, but not others, such as age cohorts or gender. This motivation also makes it difficult to explain why one should not cluster with data from a randomized experiment. In this paper, we argue that clustering is in essence a design problem, either a sampling design or an experimental design issue. It is a sampling design issue if sampling follows a two stage process where in the first stage, a subset of clusters were sampled randomly from a population of clusters, and in the second stage, units were sampled randomly from the sampled clusters. In this case the clustering adjustment is justified by the fact that there are clusters in the population that we do not see in the sample. Clustering is an experimental design issue if the assignment is correlated within the clusters. We take the view that this second perspective best fits the typical setting in economics where clustering adjustments are used. -
Investing in Our Future
113th Congress GLOBAL HEALTH: Investing in Our Future InterAction I A United Voice for Global Change 1400 16th Street, NW, Suite 210 Washington, D.C. 20036 InterAction is the largest alliance of U.S.-based nongovernmental international organizations, with more than 180 members. Our members operate in every developing country, working with local communities to overcome poverty and suffering by helping to improve their quality of life. Visit www.interaction.org. The following individuals contributed to the development of this briefing book: Danielle Heiberg, InterAction Erin Jeffery, InterAction Ashley Bennett, Global Health Technologies Coalition Lisa Brandt, InterAction Michelle Brooks, Sabin Vaccine Institute David Bryden, RESULTS Amanda Carroll, PATH Catherine Connor, Elizabeth Glaser Pediatric AIDS Foundation Erin Fry Sosne, PATH Filmona Hailemichael, Management Sciences for Health Tom Harmon, International AIDS Vaccine Initiative Marielle Hart, Stop AIDS Alliance Caitlin Horrigan, Population Action International Jennifer Katz, Drugs for Neglected Diseases initiative Crystal Lander, Management Sciences for Health Katie Lapides Coester, Elizabeth Glaser Pediatric AIDS Foundation Jeff Meer, Public Health Institute Mike O’Brien, American Refugee Committee Loyce Pace Bass, LIVESTRONG Foundation Mary Pack, International Medical Corps Lauren Reliford, PATH Mannik Sakayan, 1,000 Days Cover photo: Cameron Calabrese Global Health Briefing Book Contents Introduction to Global Health 3 HIV/AIDS 7 Malaria 11 Tuberculosis 15 Neglected Tropical Diseases 19 Non-Communicable Diseases 23 Maternal and Child Health 27 Nutrition 31 Family Planning and Reproductive Health 35 Water, Sanitation and Hygiene (WASH) 39 Health in Humanitarian Response 43 Vaccination 47 Health Research and Development 51 Millennium Development Goals & Post-2015 55 Health Systems Strengthening 59 Many organizations, governments and private donors devote significant resources and expertise to improving the health and well-being of individuals worldwide. -
Commission-Booklet-200801.Pdf
LINC Commission Meeting Jan. 28, 2008 LINC heads to Jefferson City for Child Advocacy Day. LINC Local Investment Commission 3100 Broadway, Suite 1100 - Kansas City, MO 64111 - (816) 889-5050 - www.kclinc.org Local Investment Commission (LINC) Vision Our Shared Vision A caring community that builds on its strengths to provide meaningful opportunities for children, families and individuals to achieve self-sufficiency, attain their highest potential, and contribute to the public good. Our Mission To provide leadership and influence to engage the Kansas City Community in creating the best service delivery system to support and strengthen children, families and individuals, holding that system accountable, and changing public attitudes towards the system. Our Guiding Principles 1. COMPREHENSIVENESS: Provide ready access to a full array of effective services. 2. PREVENTION: Emphasize “front-end” services that enhance development and prevent problems, rather than “back-end” crisis intervention. 3. OUTCOMES: Measure system performance by improved outcomes for children and families, not simply by the number and kind of services delivered. 4. INTENSITY: Offering services to the needed degree and in the appropriate time. 5. PARTICIPANT INVOLVEMENT: Use the needs, concerns, and opinions of individuals who use the service delivery system to drive improvements in the operation of the system. 6. NEIGHBORHOODS: Decentralize services to the places where people live, wherever appropriate, and utilize services to strengthen neighborhood capacity. 7. FLEXIBILITY AND RESPONSIVENESS: Create a delivery system, including programs and reimbursement mechanisms, that are sufficiently flexible and adaptable to respond to the full spectrum of child, family and individual needs. 8. COLLABORATION: Connect public, private and community resources to create an integrated service delivery system. -
NBER-2017-—-Economics-Of-AI.Pdf
ECONOMICS OF AI HOME + CONFERENCES PAPERS BLOG NBER CONFERENCE, TORONTO 2017 AEA 2018 TPI WASHINGTON DC FEBRUARY 2018 2018 INET/IMF MACROECONOMICS OF AI NBER CONFERENCE TORONTO 2018 On 13-14 September, 2017, we held our inaugural conference in Toronto to set the research agenda on The Economics of AI. The conference was made possible by generous support from the NBER, Creative Destruction Lab and CIFAR. Ajay Agrawal, Joshua Gans and Avi Goldfarb of the University of Toronto organised the conference. Presentation Videos Introduction by Ajay Agrawal Agenda Introduction - Ajay Agrawal (Toronto & NBER) (Slides, Video) The Impact of Artificial Intelligence on Innovation (Slides, Video) Iain Cockburn (Boston University & NBER) Rebecca Henderson (Harvard & NBER) Scott Stern (MIT & NBER) Discussant: Matthew Mitchell, University of Toronto (Slides) Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics (Slides, Video, Media Coverage) Erik Brynjolfsson (MIT & NBER) Daniel Rock (MIT & NBER) Chad Syverson (Chicago & NBER) Discussant: Rebecca Henderson, Harvard University and NBER (Slides) Market Design (Slides, Video) Paul Milgrom (Stanford) Steven Tadelis (University of California at Berkeley & NBER) Discussant: Matt Taddy, Chicago & Microsoft (Slides) Impact on Economics (Slides, Video) Susan Athey (Stanford & NBER) Discussant: Mara Lederman, University of Toronto (Slides) Lunch Presentation by Vinod Khosla, Khosla Ventures (Video) Prediction, Judgment and Complexity (Slides, Video) Ajay Agrawal (Toronto & NBER) Joshua Gans (Toronto & NBER) Avi Goldfarb (Toronto & NBER) Discussant: Andrea Prat, Columbia University (Slides) Privacy (Slides, Video) Catherine Tucker (MIT & NBER) Discussant: Ginger Zhe Jin, Maryland & NBER (Slides) Trade (Slides, Video) Daniel Trefler (Toronto & NBER) Avi Goldfarb (Toronto & NBER) Discussant: Dave Donaldson, MIT & NBER (Slides) Panel: Impact on Policy Making (Video) Susan Athey (Stanford & NBER) Austan Goolsbee (Chicago & NBER) Lawrence H. -
Artificial Intelligence and Its Implications for Income Distribution
Artificial Intelligence and Its Implications ... The Economics of Artifi cial Intelligence National Bureau of Economic Research Conference Report The Economics of Artifi cial Intelligence: An Agenda Edited by Ajay Agrawal, Joshua Gans, and Avi Goldfarb The University of Chicago Press Chicago and London The University of Chicago Press, Chicago 60637 The University of Chicago Press, Ltd., London © 2019 by the National Bureau of Economic Research, Inc. All rights reserved. No part of this book may be used or reproduced in any manner whatsoever without written permission, except in the case of brief quotations in critical articles and reviews. For more information, contact the University of Chicago Press, 1427 E. 60th St., Chicago, IL 60637. Published 2019 Printed in the United States of America 28 27 26 25 24 23 22 21 20 19 1 2 3 4 5 ISBN-13: 978-0-226-61333-8 (cloth) ISBN-13: 978-0-226-61347-5 (e-book) DOI: https:// doi .org / 10 .7208 / chicago / 9780226613475 .001 .0001 Library of Congress Cataloging-in-Publication Data Names: Agrawal, Ajay, editor. | Gans, Joshua, 1968– editor. | Goldfarb, Avi, editor. Title: The economics of artifi cial intelligence : an agenda / Ajay Agrawal, Joshua Gans, and Avi Goldfarb, editors. Other titles: National Bureau of Economic Research conference report. Description: Chicago ; London : The University of Chicago Press, 2019. | Series: National Bureau of Economic Research conference report | Includes bibliographical references and index. Identifi ers: LCCN 2018037552 | ISBN 9780226613338 (cloth : alk. paper) | ISBN 9780226613475 (ebook) Subjects: LCSH: Artifi cial intelligence—Economic aspects. Classifi cation: LCC TA347.A78 E365 2019 | DDC 338.4/ 70063—dc23 LC record available at https:// lccn .loc .gov / 2018037552 ♾ This paper meets the requirements of ANSI/ NISO Z39.48-1992 (Permanence of Paper). -
Kominers 40.Pdf
ISSN 1936-5349 (print) ISSN 1936-5357 (online) HARVARD JOHN M. OLIN CENTER FOR LAW, ECONOMICS, AND BUSINESS FELLOWS’ DISCUSSION PAPER SERIES CONCORDANCE AMONG HOLDOUTS Scott Duke Kominers E. Glen Weyl Discussion Paper No. 40 08/2011 Harvard Law School Cambridge, MA 02138 Contributors to this series are John M. Olin Fellows or Terence M. Considine Fellows in Law and Economics at Harvard University. This paper can be downloaded without charge from: The Harvard John M. Olin Fellow’s Discussion Paper Series: http://www.law.harvard.edu/programs/olin_center/ Concordance among Holdouts∗ Scott Duke Kominersy E. Glen Weylz Abstract Holdout problems prevent decentralized aggregation of complementary goods, as in the assembly of land or transfer of corporate ownership. Therefore, as Mailath and Postelwaite (1990) formalized, some coercion is needed to enable the assembly of complements in large populations. We propose an approximate individual rationality condition under which individuals are guaranteed to receive as compensation for taking at least the best estimate of their value possible from others' information. Unlike strict individual rationality, this constraint is consistent with the bilateral efficiency achieved by a take-it-or-leave-it offer to the aggregate seller community. We propose a class of Concordance mechanisms which includes the maximally attractive mechanisms achieving these objectives together with, depending on the implementation considered, either dominant-strategy incentive compatibility or Bayesian incentive compatibility and budget balance. JEL classification: D40, D70, D81, L10 ∗Kominers gratefully acknowledges the support of an NSF Graduate Research Fellowship, a Yahoo! Key Scientific Challenges Program Fellowship, and a Terence M. Considine Fellowship in Law and Economics funded by the John M. -
Breiman's Two Cultures: a Perspective from Econometrics Guido Imbens, Susan Athey
Breiman's Two Cultures: A Perspective from Econometrics Guido Imbens, Susan Athey Observational Studies, Volume 7, Issue 1, 2021, pp. 127-133 (Article) Published by University of Pennsylvania Press DOI: https://doi.org/10.1353/obs.2021.0028 For additional information about this article https://muse.jhu.edu/article/799753 [ Access provided at 27 Sep 2021 20:43 GMT with no institutional affiliation ] Observational Studies Vol. 7.1 (2021): Published July 2021 Breiman's Two Cultures: A Perspective from Econometrics Guido Imbens [email protected] Graduate School of Business and Department of Economics Stanford University Stanford, CA 94305 Susan Athey [email protected] Graduate School of Business Stanford University Stanford, CA 94305 Abstract Breiman's \Two Cultures" paper painted a picture of two disciplines, data modeling, and algorithmic machine learning, both engaged in the analyses of data but talking past each other. Although that may have been true at the time, there is now much interaction between the two. For example, in economics, machine learning algorithms have become valuable and widely appreciated tools for aiding in the analyses of economic data, informed by causal/structural economic models. Keywords: Econometrics, Causal Inference, Instrumental Variables 1. Introduction When we first read Breiman's \Two Cultures" paper (Breiman, 2001) in the early 2000's it baffled us. In econometrics, as in much of statistics (98% according to Breiman), the modeling culture was dominant, and a purely prediction-based focus seemed very alien to what econometricians were doing. You can see this clearly in the history of econometrics (see for a description, e.g, Hendry and Morgan (1997)). -
Building the Digital Talent Pool and Skills for Tomorrow
Improving Canada’s Digital Advantage: Building the Digital Talent Pool and Skills for Tomorrow Research Team: Wendy Cukier Shelley Smarz Amelie Baillargeon Tom Rylett Mariam Munawar Cheryl Hsu Charity Hannan Margaret Yap Diversity Institute, Ted Rogers School of Management, Ryerson University About Ryerson’s Diversity Institute Ryerson University’s Diversity Institute undertakes research with respect to diversity in the workplace and its application to improve practices in organizations. The goal of the Institute is to promote new, interdisciplinary knowledge and practice about diversity with respect to gender, ethnicity, sexual orientation, and people with disabilities. The Diversity Institute works in partnership with industry, government, not-for-profits and academics to: - Research existing practices and evaluate programs; - Explore barriers to full participation in the workplace; - Develop fact-based policies and programs to attract, motivate and develop under-represented groups in the workplace; and - Provide customized training to support development of diversity strategies. The Diversity Institute develops strategies that are customized to an organization’s context, stage of development on the diversity continuum and specific needs. Our approach is customized in terms of content and delivery including lectures, simulations and exercised to meet learning objectives. The Diversity Institute has also focused attention on the evaluation of a wide range of approaches including diversity and anti-racism training. Contact Us The Diversity