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Daniel G. Goldstein

Microsoft Research New York City

Principal Researcher

641 Avenue of Americas

New York, NY 10011

United States

London Business School

Assistant Professor of Marketing

Sussex Place

Regent's Park

London, London NW1 4SA

United Kingdom

http://www.dangoldstein.com

  • Microsoft Research New York City

  • London Business School

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SCHOLARLY PAPERS

20

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Top 135

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70,709

CITATIONS
Rank 4,650

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Top 4,650

in Total Papers Citations

113

Scholarly Papers (20)

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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 Research New York City and New York University (NYU) - Tandon School of Engineering
Downloads 35,826 (36)
Citation 4

Abstract:

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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 Business School - Marketing and Microsoft Research New York City
Downloads 25,814 (64)
Citation 52

Abstract:

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

3.

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) - Tandon School of Engineering and Microsoft Research New York City
Downloads 3,001 (3,262)

Abstract:

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4.

Measuring Consumer Risk-Return Tradeoffs

Number of pages: 38 Posted: 13 Oct 2005
Daniel G. Goldstein, Eric J. Johnson and William F. Sharpe
Microsoft Research New York City, Columbia Business School - Marketing and Stanford University - Graduate School of Business
Downloads 1,514 (10,320)
Citation 4

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

5.

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 Research New York City, Netflix, University of Chicago - Booth School of Business, Stanford Graduate School of Business and University of Minnesota - Twin Cities - Carlson School of Management
Downloads 936 (21,725)

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

6.

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 Business School - Marketing and Microsoft Research New York City
Downloads 887 (23,495)
Citation 6

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Organ donation, Decision, Defaults, Policy

7.

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 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 Research New York City, Independent, Duke University - Fuqua School of Business, Duke University - Marketing, Ohio State University - Psychology Department, University of California, San Diego, Cornell University and Columbia Business School - Management & Psychology
Downloads 729 (30,969)
Citation 3

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

8.

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 Research New York City, University of Erlangen-Nuremberg-Friedrich Alexander Universität Erlangen Nürnberg and New York University (NYU) - Department of Psychology
Downloads 509 (49,666)
Citation 1

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

9.

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 Research New York City, University of California, Los Angeles (UCLA) - Marketing Area and University of California at Los Angeles
Downloads 410 (64,858)

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

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
University of North Carolina - Chapel Hill, Columbia Business School - Marketing, Microsoft Research New York City and University of South Dakota - School of Business
Downloads 308 (90,246)
Citation 3

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defaults, query theory, decision making, preference construction

11.

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 Research New York City, Columbia Business School - Marketing and Stanford University - Graduate School of Business
Downloads 180 (154,550)
Citation 15

Abstract:

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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 Research New York City
Downloads 166 (166,050)

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Interpretable Models, Policy Evaluation, Causal Inference

13.

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

Downloads 166 (166,050)

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), University of South Carolina - Darla Moore School of Business, Erasmus University Rotterdam (EUR) - Erasmus School of Economics (ESE) and Microsoft Research New York City
Downloads 102 (244,213)

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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

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), University of South Carolina - Darla Moore School of Business, Erasmus University Rotterdam (EUR) - Erasmus School of Economics (ESE) and Microsoft Research New York City
Downloads 41 (398,956)

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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

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), University of South Carolina - Darla Moore School of Business, Erasmus University Rotterdam (EUR) - Erasmus School of Economics (ESE) and Microsoft Research New York City
Downloads 23 (484,554)

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14.

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
Columbia Business School - Management & Psychology, Columbia Business School - Marketing, Columbia University, Singapore Management University - Lee Kong Chian School of Business, Harris Interactive and Microsoft Research New York City
Downloads 165 (166,960)
Citation 19

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15.

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 Business School - Marketing, affiliation not provided to SSRN and Microsoft Research New York City
Downloads 91 (261,839)
Citation 5

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

16.

Default Lines

Business Strategy Review, Vol. 20, No. 3, pp. 24-29, Autumn 2009
Number of pages: 6 Posted: 08 Oct 2009
Daniel G. Goldstein
Microsoft Research New York City
Downloads 4 (573,584)
Citation 1
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17.

Undue Diligence?

Business Strategy Review, Vol. 20, Issue 4, pp. 16-19, Winter 2009
Number of pages: 4 Posted: 28 Oct 2009
Daniel G. Goldstein
Microsoft Research New York City
Downloads 3 (579,765)
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18.

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 Research New York City

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

19.

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 Business School - Marketing and Microsoft Research New York City

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20.

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 Research New York City and Columbia Business School - Marketing

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