Daniel G. Goldstein

Microsoft Corporation - Microsoft Research, New York City

Senior Principal Research Manager

300 Lafayette St

New York, NY NY 10012

United States

  • Microsoft Corporation - Microsoft Research, New York City

SCHOLARLY PAPERS

23

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Rank 348

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Top 348

in Total Papers Downloads

94,486

TOTAL CITATIONS
Rank 3,863

SSRN RANKINGS

Top 3,863

in Total Papers Citations

150

Scholarly Papers (23)

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1.

We Don't Quite Know What We are Talking About When We Talk About Volatility

Journal of Portfolio Management, Vol. 33, No. 4, 2007
Number of pages: 8 Posted: 14 Mar 2007 Last Revised: 14 Dec 2017
Daniel G. Goldstein and Nassim Nicholas Taleb
Microsoft Corporation - Microsoft Research, New York City and New York University (NYU) - NYU Tandon School of Engineering
Downloads 40,829 (90)
Citation 5

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finance, volatility, risk, intuition, statistics, metrics

2.

Do Defaults Save Lives?

Science, Vol. 302, pp. 1338-1339, 2003
Number of pages: 2 Posted: 09 Jan 2009
Eric J. Johnson and Daniel G. Goldstein
Columbia University - Columbia Business School, Marketing and Microsoft Corporation - Microsoft Research, New York City
Downloads 34,714 (124)
Citation 36

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organ donors, donation of organs, donation of tissues, transplantation

3.

Math Education with Large Language Models: Peril or Promise?

Number of pages: 11 Posted: 01 Dec 2023 Last Revised: 14 Nov 2024
Harsh Kumar, David M. Rothschild, Daniel G. Goldstein and Jake M. Hofman
University of Toronto - Department of Computer Science, Microsoft Research, Microsoft Corporation - Microsoft Research, New York City and Microsoft Research, New York City
Downloads 4,606 (4,584)
Citation 7

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education, large language models, llms, AI, generative AI, math, tutoring, human-AI interaction

4.

The Problem is Beyond Psychology: The Real World is More Random than Regression Analyses

International Journal of Forecasting, Forthcoming
Number of pages: 4 Posted: 10 Oct 2011 Last Revised: 14 Dec 2017
Nassim Nicholas Taleb and Daniel G. Goldstein
New York University (NYU) - NYU Tandon School of Engineering and Microsoft Corporation - Microsoft Research, New York City
Downloads 4,094 (5,543)
Citation 3

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5.

Measuring Consumer Risk-Return Tradeoffs

Number of pages: 38 Posted: 13 Oct 2005
Daniel G. Goldstein, Eric J. Johnson and William F. Sharpe
Microsoft Corporation - Microsoft Research, New York City, Columbia University - Columbia Business School, Marketing and Stanford University - Graduate School of Business
Downloads 1,682 (22,988)
Citation 7

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marketing research tools, consumer behavior, decision-making, parameter estimation, measurement, segmentation, risk, utility, uncertainty

6.

Beyond Nudges: Tools of a Choice Architecture

Marketing Letters (2012) Vol 23: pp 487–504, University of Alberta School of Business Research Paper No. 2013-739, Columbia Business School Research Paper No. 13-61
Number of pages: 18 Posted: 13 Jul 2013
Eric J. Johnson, Suzzane Shu, Benedict G. C. Dellaert, Craig R. Fox, Daniel G. Goldstein, Gerald Haeubl, Richard P. Larrick, John W. Payne, Ellen Peters, David Schkade, Brian Wansink and Elke U. Weber
Columbia University - Columbia Business School, Marketing, University of California, Los Angeles (UCLA), Erasmus University Rotterdam (EUR) - Erasmus School of Economics (ESE), University of California, Los Angeles (UCLA) - Anderson School of Management, Microsoft Corporation - Microsoft Research, New York City, Independent, Duke University - Fuqua School of Business, Duke University - Marketing, Ohio State University - Psychology Department, University of California, San Diego, Retired - Cornell University and Princeton University - Department of Psychology
Downloads 1,526 (26,616)
Citation 15

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Choice architecture, Decision support, Options and alternatives, Describing attributes

7.

How Do Firms Make Money Selling Digital Goods Online?

Rotman School of Management Working Paper No. 2363658
Number of pages: 17 Posted: 06 Dec 2013 Last Revised: 28 Apr 2014
Anja Lambrecht, Avi Goldfarb, Alessandro Bonatti, Anindya Ghose, Daniel G. Goldstein, Randall A. Lewis, Anita Rao, Navdeep S. Sahni and Song Yao
London Business School, University of Toronto - Rotman School of Management, Massachusetts Institute of Technology (MIT) - Sloan School of Management, New York University (NYU) - Leonard N. Stern School of Business, Microsoft Corporation - Microsoft Research, New York City, Amazon, Georgetown University, Stanford Graduate School of Business and Washington University in St. Louis - John M. Olin Business School
Downloads 1,377 (31,046)
Citation 7

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revenue models, Internet, online advertising, digital goods, content, information, advertising, cookies

8.

Defaults and Donation Decisions

Transplantation, Vol. 78, No. 12, pp. 1713-1716
Number of pages: 4 Posted: 07 Jan 2009
Eric J. Johnson and Daniel G. Goldstein
Columbia University - Columbia Business School, Marketing and Microsoft Corporation - Microsoft Research, New York City
Downloads 1,262 (35,240)
Citation 4

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Organ donation, Decision, Defaults, Policy

9.

Nudging Turnout: Mere Measurement and Implementation Planning of Intentions to Vote

Number of pages: 23 Posted: 30 Mar 2007 Last Revised: 29 Sep 2008
Kosuke Imai, Daniel G. Goldstein, Anja S. Göritz and Peter M. Gollwitzer
Princeton University - Department of Political Science, Microsoft Corporation - Microsoft Research, New York City, University of Erlangen-Nuremberg-Friedrich Alexander Universität Erlangen Nürnberg and New York University (NYU) - Department of Psychology
Downloads 728 (75,818)
Citation 14

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mere measurement, implementation intentions, voting, turnout, elections, surveys

10.

Partitioning Default Effects: Why People Choose Not to Choose

Number of pages: 33 Posted: 14 Jul 2009 Last Revised: 05 Sep 2012
Isaac M. Dinner, Eric J. Johnson, Daniel G. Goldstein and Kaiya Liu
Indeed, Columbia University - Columbia Business School, Marketing, Microsoft Corporation - Microsoft Research, New York City and University of South Dakota - School of Business
Downloads 583 (100,675)
Citation 25

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defaults, query theory, decision making, preference construction

11.

The Illusion of Wealth and Its Reversal

Journal of Marketing Research, Forthcoming
Number of pages: 11 Posted: 28 Jan 2014 Last Revised: 01 Jun 2016
Daniel G. Goldstein, Hal Hershfield and Shlomo Benartzi
Microsoft Corporation - Microsoft Research, New York City, University of California, Los Angeles (UCLA) - Marketing Area and University of California at Los Angeles
Downloads 580 (101,319)
Citation 7

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retirement, pension, lump, sum, amount, choice, architecture, monthly, illusion, wealth

12.

Simple Rules for Complex Decisions

Number of pages: 9 Posted: 17 Feb 2017
Jongbin Jung, Connor Concannon, Ravi Shroff, Sharad Goel and Daniel G. Goldstein
Stanford University, School of Engineering, Management Science & Engineering, Students, CUNY, John Jay College of Criminal Justice, New York University (NYU), Stanford University and Microsoft Corporation - Microsoft Research, New York City
Downloads 459 (135,005)
Citation 3

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Interpretable Models, Policy Evaluation, Causal Inference

13.

Effects of LLM Use and Note-Taking On Reading Comprehension and Memory: A Randomised Experiment in Secondary Schools

Number of pages: 48 Posted: 03 Feb 2025
Pia Kreijkes, Viktor Kewenig, Martina Kuvalja, Mina Lee, Sylvia Vitello, Jake M. Hofman, Abigail Sellen, Sean Rintel, Daniel G. Goldstein, David M. Rothschild, Lev Tankelevitch and Tim Oates
University of Cambridge, University College London, University of Cambridge, Microsoft Research, University of Cambridge, Microsoft Research, New York City, Microsoft Research, Microsoft Research, Microsoft Corporation - Microsoft Research, New York City, Microsoft Research, Microsoft Research and University of Cambridge
Downloads 451 (137,952)

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Large language models, Learning, Memory, Reading comprehension, Note-taking

14.

Steroids, Sneakers, Coach: The Spectrum of Human-AI Relationships

Number of pages: 6 Posted: 17 Oct 2023
Jake M. Hofman, Daniel G. Goldstein and David M. Rothschild
Microsoft Research, New York City, Microsoft Corporation - Microsoft Research, New York City and Microsoft Research
Downloads 357 (179,742)

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15.

Using Preferred Outcome Distributions to Estimate Value and Probability Weighting Functions in Decisions Under Risk

Downloads 322 (200,972)

Using Preferred Outcome Distributions to Estimate Value and Probability Weighting Functions in Decisions Under Risk

ERIM Report Series Reference No. ERS-2013-005-MKT
Number of pages: 33 Posted: 10 May 2013
Bas Donkers, Carlos Lourenço, Benedict G. C. Dellaert and Daniel G. Goldstein
Erasmus University Rotterdam (EUR) - Erasmus School of Economics (ESE), Economics Department - ISEG - Lisbon University, Erasmus University Rotterdam (EUR) - Erasmus School of Economics (ESE) and Microsoft Corporation - Microsoft Research, New York City
Downloads 135 (455,709)

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decision making, rank dependent utility, risk preference, distribution builder, micro economics, preference elicitation

Using Preferred Outcome Distributions to Estimate Value and Probability Weighting Functions in Decisions under Risk

Tinbergen Institute Discussion Paper 13-065/VII
Number of pages: 34 Posted: 09 May 2013
Bas Donkers, Carlos Lourenço, Benedict G. C. Dellaert and Daniel G. Goldstein
Erasmus University Rotterdam (EUR) - Erasmus School of Economics (ESE), Economics Department - ISEG - Lisbon University, Erasmus University Rotterdam (EUR) - Erasmus School of Economics (ESE) and Microsoft Corporation - Microsoft Research, New York City
Downloads 115 (518,301)

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Decision making, risk preference, distribution builder, rank dependent utility, preference elicitation, micro economics

Using Preferred Outcome Distributions to Estimate Value and Probability Weighting Functions in Decisions under Risk

Netspar Discussion Paper No. 05/2013-014
Number of pages: 33 Posted: 09 May 2013
Bas Donkers, Carlos Lourenço, Benedict G. C. Dellaert and Daniel G. Goldstein
Erasmus University Rotterdam (EUR) - Erasmus School of Economics (ESE), Economics Department - ISEG - Lisbon University, Erasmus University Rotterdam (EUR) - Erasmus School of Economics (ESE) and Microsoft Corporation - Microsoft Research, New York City
Downloads 72 (706,333)

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16.

Choosing Outcomes Versus Choosing Products: Consumer-Focused Retirement Investment Advice

Journal of Consumer Research, Vol. 35, pp. 440-456
Number of pages: 17 Posted: 18 Jun 2009
Daniel G. Goldstein, Eric J. Johnson and William F. Sharpe
Microsoft Corporation - Microsoft Research, New York City, Columbia University - Columbia Business School, Marketing and Stanford University - Graduate School of Business
Downloads 313 (207,175)
Citation 7

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17.

Asymmetric Discounting in Intertemporal Choice: A Query Theory Account

Psychological Science, Vol. 18, pp. 516-523, 2007
Number of pages: 8 Posted: 17 Nov 2008 Last Revised: 31 Aug 2011
Elke U. Weber, Eric J. Johnson, Kerry F. Milch, Hannah Chang, Jeffrey Brodscholl and Daniel G. Goldstein
Princeton University - Department of Psychology, Columbia University - Columbia Business School, Marketing, Columbia University, Singapore Management University - Lee Kong Chian School of Business, Harris Interactive and Microsoft Corporation - Microsoft Research, New York City
Downloads 275 (237,474)
Citation 10

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18.

A Taxonomy for Understanding and Identifying Uncertainty in AI-Generated Responses

Number of pages: 7 Posted: 21 May 2024
Snehal Prabhudesai, Daniel G. Goldstein, Jake M. Hofman and David M. Rothschild
University of Michigan, Ann Arbor, Microsoft Corporation - Microsoft Research, New York City, Microsoft Research, New York City and Microsoft Research
Downloads 182 (353,528)

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Taxonomy, LLM, Uncertainty, Error

19.

Making Better Decisions: From Measuring to Constructing Preferences

Healthy Psychology, Vol. 24, No. 4, pp. S17-S22
Number of pages: 6 Posted: 07 Jan 2009
Eric J. Johnson, Mary Steffel and Daniel G. Goldstein
Columbia University - Columbia Business School, Marketing, affiliation not provided to SSRN and Microsoft Corporation - Microsoft Research, New York City
Downloads 137 (449,173)

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constructive preferences, decision analysis, decision environments, affective forecasting, defaults

20.

Could AI Make Legalese Comprehensible to the Public?

Number of pages: 24 Last Revised: 21 Apr 2025
Mina Lee, Jake M. Hofman, David M. Rothschild and Daniel G. Goldstein
University of Chicago - Department of Computer Science, Microsoft Research, New York City, Microsoft Research and Microsoft Corporation - Microsoft Research, New York City
Downloads 9

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21.

Predicting Individual Behavior with Social Networks

Marketing Science, Vol. 33, No. 1, 2014; pp. 82-93; DOI: 10.1287/mksc.2013.0817
Posted: 28 Feb 2014
Sharad Goel and Daniel G. Goldstein
Stanford University and Microsoft Corporation - Microsoft Research, New York City

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social networks, targeting, electronic commerce, homophily, product, computational social science

22.

Decisions by Default

Shafir, E. (Ed.). (2012). The Behavioral Foundations of Public Policy, Princeton, NJ: Princeton University Press
Posted: 10 Nov 2012
Eric J. Johnson and Daniel G. Goldstein
Columbia University - Columbia Business School, Marketing and Microsoft Corporation - Microsoft Research, New York City

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23.

Smart Defaults: From Hidden Persuaders to Adaptive Helpers

INSEAD Business School Research Paper No. 2009/03/ISIC
Posted: 06 Apr 2008 Last Revised: 19 Feb 2013
N. Craig Smith, Daniel G. Goldstein and Eric J. Johnson
INSEAD, Microsoft Corporation - Microsoft Research, New York City and Columbia University - Columbia Business School, Marketing

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Default Effects, Marketing Ethics, Consumer Choice, Consumer Welfare, Consumer Autonomy