Dopamine and Risk Preferences in Different Domains Faculty Research Working Paper Series
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The Precision Medicine Issue Medicine Is Becoming Hyper
The precision medicine issue Vol. 121 Nov/Dec $9.99 USD No. 6 2018 $10.99 CAD $2 million would save her life. The precision medicine issue Could you pay? Should you? Medicine is becoming hyper-personalized, hyper-accurate ... and hyper-unequal. p.38 The AIs taking over Curing cancer How to plan your from doctors with customized digital afterlife vaccines p.22 p.46 p.76 ND18_cover.indd 1 10/3/18 4:16 PM Artificial intelligence is here. Own what happens next. ND18 ETD19 Spread 16x10.875 D3.indd 2 9/28/18 10:59 AM March 25–26, 2019 St. egis Hotel San Francisco, CA Meet the people leading the next wave of intelligent technologies. Andrew Kathy Daphne Sergey Harry Anagnost Gong Koller Levine Shum President and Cofounder and Founder and Assistant Executive Vice CEO, Autodesk CEO, WafaGames CEO, Insitro Professor, EECS, President, UC Berkeley Microsoft Artifi cial Intelligence and Research Group EmTechDigital.com/2019 ND18 ETD19 Spread 16x10.875 D3.indd 3 9/28/18 10:59 AM 02 From the editor It’s been nearly two decades since the help meet the ballooning healthcare first human genome was sequenced. needs of an aging population. That achievement opened up the prom The problem? As medicine gets ise of drugs and treatments perfectly more personalized, it risks getting more tailored to each person’s DNA. But per unequal. Our cover story is Regalado’s sonalized or “precision” medicine has gripping and troubling account page always felt a bit like flying cars, sexbots, 38 of the parents who raise millions of or labgrown meatone of those things dollars to finance genetherapy cures for we’re perpetually being promised but their children’s ultrarare diseases. -
Daniel J. Benjamin (As of 10/4/2019)
Daniel J. Benjamin (as of 10/4/2019) Contact Information University of Southern California Center for Economic and Social Research Dauterive Hall 635 Downey Way, Suite 301 Los Angeles, CA 90089-3332 Phone: 617-548-8948 Professional Experience: Professor (Research) of Economics, CESR, USC, 2019-present Associate Professor (Research) of Economics, CESR, USC, 2015-2019 Visiting Associate Professor (Research) of Economics, CESR, USC, 2014-2015 Associate Professor (with tenure), Economics Department, Cornell University, 2013-2015 Assistant Professor, Economics Department, Cornell University, 2007-2013 Visiting Research Fellow, National Bureau of Economic Research (NBER), 2011-2012 Research Associate, NBER, 2013-present Faculty Research Fellow, NBER, 2009-2013 Research Fellow, Research Center for Group Dynamics, Institute for Social Research, 2006-2017 Research Fellow, Population Studies Center, Institute for Social Research, 2006-2007 Graduate Studies: Ph.D., Economics, Harvard University, 2006 M.Sc., Mathematical Economics, London School of Economics, 2000 A.M., Statistics, Harvard University, 1999 Undergraduate Studies: A.B., Economics, Harvard University, summa cum laude, prize for best economics student, 1999 Honors, Scholarships, and Fellowships: 2013 Norwegian School of Economics Sandmo Junior Fellowship (prize for a “promising young economist”) 2012-2013 Cornell’s Institute for Social Science (ISS) Faculty Fellowship 2009-2012 ISS Theme Project Member: Judgment, Decision Making, and Social Behavior 2011-2012 NBER Visiting Fellowship -
Why Is It Hard to Find Genes That Are Associated with Social Science Traits? Theoretical and Empirical Considerations
“Why Is It Hard to Find Genes …” – p. 1 Why Is It Hard to Find Genes that are Associated with Social Science Traits? Theoretical and Empirical Considerations Christopher F. Chabris1†* James J. Lee2† Daniel J. Benjamin3 Jonathan P. Beauchamp4 Edward L. Glaeser4 Gregoire Borst2 Steven Pinker2 David I. Laibson4 1. Department of Psychology, Union College, Schenectady, NY, USA 2. Department of Psychology, Harvard University, Cambridge, MA, USA 3. Department of Economics, Cornell University, Ithaca, NY, USA 4. Department of Economics, Harvard University, Cambridge, MA, USA † These authors contributed equally to the work. * Address correspondence to: Christopher F. Chabris Department of Psychology Union College 807 Union Street Schenectady, NY 12308 USA [email protected] “Why Is It Hard to Find Genes …” – p. 2 Abstract Though most behavioral traits are moderately to highly heritable, the genes that influence them are elusive: many published genetic associations fail to replicate. With physical traits like eye color and skin pigmentation, in contrast, several genes with large effects have been discovered and replicated. We draw on R.A. Fisher’s geometric model of adaptation to explain why traits of interest to behavioral scientists may have a genetic architecture featuring hundreds or thousands of alleles with tiny individual effects, rather than a few with large effects, and why such an architecture makes it difficult to find robust associations between traits and genes. In the absence of strong directional selection on a trait, alleles with large effect sizes will probably remain rare, and such a lack of strong directional selection is likely to characterize most traits currently of interest in social science. -
Economics Without Borders
ECONOMICS WITHOUT BORDERS Economic Research for European Policy Challenges Edited by Richard Blundell Estelle Cantillon Barbara Chizzolini Marc Ivaldi Wolfgang Leininger Ramon Marimon Laszlo Matyas (Lead Editor) and Frode Steen March 8, 2016 Cambridge University Press Contents List of illustrations page xii List of tables xiv Foreword xv 0 Introduction Blundell, Cantillon, Chizzolini, Ivaldi, Leininger, Ma- rimon, Matyas, and Steen 1 1 Innovation and Growth: The Schumpeterian Perspective Philippe Aghion and Ufuk Akcigit 30 1.1 Introduction 30 1.2 Looking for Growth Paradigms to Think about Growth Policy 32 1.2.1 The Neoclassical Growth Model 32 1.2.2 The AK Model 33 1.2.3 The Product-variety Model 33 1.2.4 The Schumpeterian Model 34 1.3 Some Main Applications and Extensions of Schumpeterian Growth Theory 36 1.3.1 Growth Meets IO 36 1.3.2 Schumpeterian Growth and Firm Dynamics 38 1.3.3 Growth Meets Development: Appropriate Institutions 40 1.3.4 Growth Meets Development: Firm Dynamics in Developing Countries 42 1.3.5 Growth and Unemployment 43 1.4 Enhancing Productivity Growth in Advanced Countries 45 1.4.1 Pillars of Innovation-led Growth 45 1.4.2 Competition Policy against Industrial Policy 45 1.4.3 Reforming the State 48 1.4.4 Macroeconomic Policy 49 iv Contents 1.4.5 Innovation, Inequality, and Social Mobility: Making Growth Inclusive 50 1.5 Technological Waves and the Debate on Secular Stagnation 53 1.5.1 The Debate 53 1.5.2 Historical Wave Patterns 54 1.6 Schumpeterian Insights into R&D Policy 56 1.6.1 R&D Policies and Firm Selection -
Essays on Genetics and the Social Sciences Genoeconomics, Social-Science Genetics, Or Biological Economics
413 AYSU OKBAY Evidence from behavior-genetic studies of twins, adoptees and other pairs of relatives shows that virtually all human traits, including economic preferences and behaviors, are at least moderately heritable. With increasing availability of genetic data, it is now becoming feasible to identify specific genetic variants associated with complex outcomes, thus blurring the disciplinary boundaries between biological and Essays on Genetics and social sciences. Building on these developments, this thesis explores questions at the intersection of economics and biology and thus contributes to an emerging field of research commonly referred to as: - Essays on Genetics and the Social Sciences OKBAY AYSU genoeconomics, social-science genetics, or biological economics. the Social Sciences The research described here identifies specific genetic variants robustly associated with a suite of complex outcomes – ranging from educational attainment, to subjective well-being, neuroticism and depression – and shows how these findings can be used, in conjunction with quasi-experimental research designs from economics, to conduct rigorous and well-powered investigations of the interactions between genes and environment. It illustrates some hard-won lessons about the relative merits of various research strategies that have been proposed for efforts to discover genetic associations with complex traits. Furthermore, it provides a framework for quantifying tradeoffs between outcome heterogeneity and sample-size in gene-discovery efforts. The results reported in this thesis strongly suggest that there will be many settings in which genetic data will prove valuable to social sciences. In addition to broadening our knowledge about the biological mechanisms underlying behavioral outcomes, these advances will provide researchers from many disciplines with increasingly powerful tools that can be used to integrate genetic factors into a wide range of empirical models. -
An Epigenome-Wide Association Study Meta-Analysis of Educational Attainment
OPEN Molecular Psychiatry (2017) 22, 1680–1690 www.nature.com/mp IMMEDIATE COMMUNICATION An epigenome-wide association study meta-analysis of educational attainment R Karlsson Linnér1,2,57, RE Marioni3,4,57, CA Rietveld2,5,6,57, AJ Simpkin7, NM Davies8, K Watanabe1, NJ Armstrong9, K Auro10,11, C Baumbach12, MJ Bonder13, J Buchwald10, G Fiorito14,15, K Ismail10, S Iurato16, A Joensuu10,11, P Karell10, S Kasela17,18, J Lahti19,20, AF McRae21, PR Mandaviya22,23, I Seppälä24,25, Y Wang26, L Baglietto27, EB Binder16,28, SE Harris3,4, AM Hodge29,30, S Horvath31, M Hurme32,33,34, M Johannesson35, A Latvala36, KA Mather37, SE Medland38, A Metspalu17,18, L Milani17, RL Milne29,30, A Pattie39, NL Pedersen26, A Peters12, S Polidoro14, K Räikkönen19, G Severi14,29,40, JM Starr4,41, L Stolk22,42, M Waldenberger12, BIOS Consortium, JG Eriksson43,44,45, T Esko17,46, L Franke13, C Gieger12, GG Giles29,30, S Hägg26, P Jousilahti11, J Kaprio10,36, M Kähönen47,48, T Lehtimäki24,25, NG Martin49, JBC van Meurs23,42, M Ollikainen10,36, M Perola10,11, D Posthuma1, OT Raitakari50,51, PS Sachdev37,52, E Taskesen1,53, AG Uitterlinden6,23,42, P Vineis14,54, C Wijmenga13, MJ Wright55, C Relton8, G Davey Smith8, IJ Deary4,39,58, PD Koellinger1,2,58 and DJ Benjamin56,58 The epigenome is associated with biological factors, such as disease status, and environmental factors, such as smoking, alcohol consumption and body mass index. Although there is a widespread perception that environmental influences on the epigenome are pervasive and profound, there has been little evidence to date in humans with respect to environmental factors that are biologically distal. -
David Laibson “Be Careful with More Freedom in the Pension System”
BEHAVIORAL ECONOMICS INTERVIEW David Laibson “Be careful with more freedom in the pension system” RUBEN ith his research into savings and self-con- teams can use that company’s consumer base. Because of VAN OOSTEN trol problems, David Laibson is one of the the scope of this collaboration it is then much easier to Editor ESB founders of contemporary behavioral eco- find corporate partners.” nomics. His groundbreaking research focu- Wses on people’s inner struggle when having to make inter- Do you already see any results of that project? temporal choices (box 1). About his 1994 thesis (Laibson, “Absolutely. For example, the first meeting, also recorded in 1994), in which he formalizes the work of the psychologist a Freakonomics podcast (Freakonomics, 2018), acted as a George Ainslie, The New York Times (2001) wrote: “In catalyst for my study on facilitating laptop use in the class- the histories of economics still to be written, the spring of room, which I didn’t think would become a formal study. At 1994 will almost certainly be flagged as momentous.” Not the beginning of the year, students are offered the choice on much later Laibson is appointed as professor at Harvard; which side of the lecture hall they want to sit: the side where the first one to have actually trained as a behavioral econo- everyone can use a laptop, or where laptops aren’t allowed. mist (The New York Times, 2001). The first meeting of the Behavior Change for Good initia- Laibson just stepped down as dean of the Harvard tive yielded enough momentum, so that we could convert economics faculty. -