Matthew Gentzkow

All Publications

• What Is Newsworthy? Theory and Evidence AMERICAN ECONOMIC REVIEW-INSIGHTS Armona, L., Gentzkow, M., Kamenica, E., Shapiro, J. M. 2026; 8 (3): 354-373

  View details for DOI 10.1257/aeri.20240285

  View details for Web of Science ID 001885742000005

• Untrustworthy sources on Facebook and Instagram in 2020: Concentrated exposure but no attitudinal effects. Science advances Bergeron-Boutin, O., Nyhan, B., Settle, J., Thorson, E., Wojcieszak, M., Brown, T., Crespo-Tenorio, A., Velasco Rivera, C., Allcott, H., Barberá, P., Dimmery, D., Freelon, D., Gentzkow, M., González-Bailón, S., Guess, A. M., Kennedy, E., Kim, Y. M., Lazer, D., Malhotra, N., Moehler, D., Pan, J., Thomas, D. R., Tromble, R., Wilkins, A., Xiong, B., Kiewiet de Jonge, C., Franco, A., Mason, W., Stroud, N. J., Tucker, J. A. 2026; 12 (31): eadz6502

  Abstract

  Despite concern about exposure to content from untrustworthy sources on social media, little is known about the frequency or effects of exposure to their content. We examine 2020 data from all active US adults on Facebook and Instagram to measure exposure to content from Pages, groups, and web domains on Facebook and public accounts on Instagram that repeatedly publish misinformation. We find that average users saw relatively little content in their feeds from these untrustworthy sources; exposure was highly concentrated. A multimonth field experiment during the 2020 election among consenting users reduced feed-based exposure to content from untrustworthy sources by approximately 70% on both platforms but had no measurable effects on numerous preregistered outcomes, even among participants with high pretreatment exposure. Our results demonstrate that a feasible platform intervention can successfully reduce exposure to content from untrustworthy sources but suggest that these changes are unlikely to have immediate effects on attitudes and beliefs.

  View details for DOI 10.1126/sciadv.adz6502

  View details for PubMedID 42525749

• NEW FINDINGS IN HEALTH AND HEALTH CARE ACROSS AND WITHIN COUNTRIES Reexamining Geographic Variation in Health and Health Care Finkelstein, A., Gentzkow, M. AMER ECONOMIC ASSOC. 2026: 138-143

  View details for DOI 10.1257/pandp.20261072

  View details for Web of Science ID 001808103000025

• How deceptive online networks reached millions in the US 2020 elections. Nature human behaviour Appel, R. E., Kim, Y. M., Pan, J., Xu, Y., Nimmo, B., Thomas, D. R., Allcott, H., Barberá, P., Brown, T., Crespo-Tenorio, A., Dimmery, D., Freelon, D., Gentzkow, M., González-Bailón, S., Guess, A. M., Iyengar, S., Lazer, D., Malhotra, N., Moehler, D., Nyhan, B., Settle, J., Thorson, E., Tromble, R., Velasco Rivera, C., Wilkins, A., Wojcieszak, M., Xiong, B., Kiewiet de Jonge, C., Franco, A., Mason, W., Stroud, N. J., Tucker, J. A. 2026

  Abstract

  Deceptive online networks are coordinated efforts that use identity deception to pursue strategic political or financial goals. During the US 2020 elections, these networks reached at least 37 million Facebook and 3 million Instagram users, representing 15% and 2% of the platforms' active US adult users, respectively. Only 3 networks out of 49-1 network with explicitly political aims and 2 that appeared to use politics as a lure for profit-were responsible for over 70% of users reached. Notably, accounts unaffiliated with the networks played an important role in facilitating this reach by resharing content the three networks produced. Deceptive networks, regardless of whether their goals were political or financial, reached users who were older, more conservative, more frequently exposed to content from untrustworthy sources, and spent more time on Facebook.

  View details for DOI 10.1038/s41562-026-02435-2

  View details for PubMedID 41942710

  View details for PubMedCentralID 7439640

• The effects of Facebook and Instagram political advertisements on the 2020 US election NATURE HUMAN BEHAVIOUR Gentzkow, M., Levy, R. 2026

  View details for DOI 10.1038/s41562-025-02329-9

  View details for Web of Science ID 001712048800001

  View details for PubMedID 41787095

  View details for PubMedCentralID 10396953

• The effects of political advertising on Facebook and Instagram before the 2020 US election. Nature human behaviour Allcott, H., Gentzkow, M., Levy, R., Crespo-Tenorio, A., Dumas, N., Mason, W., Moehler, D., Barberá, P., Brown, T., Cisneros, J. C., Dimmery, D., Freelon, D., González-Bailón, S., Guess, A. M., Kim, Y. M., Lazer, D., Malhotra, N., Nair-Desai, S., Nyhan, B., Paixao de Queiroz, A. C., Pan, J., Settle, J., Thorson, E., Tromble, R., Velasco Rivera, C., Wittenbrink, B., Wojcieszak, M., Yang, S., Zahedian, S., Franco, A., Kiewiet de Jonge, C., Stroud, N. J., Tucker, J. A. 2026

  Abstract

  We study the effects of social media political advertising by randomizing subsets of 36,906 Facebook users and 25,925 Instagram users to have political ads removed from their news feeds for 6 weeks before the 2020 US presidential election. We show that most presidential ads were targeted towards parties' own supporters and that fundraising ads were the most common. On both Facebook and Instagram, we found no detectable effects of removing political ads on political knowledge, polarization, perceived legitimacy of the election, political participation (including campaign contributions), candidate favourability and turnout. This was true overall and for both Democrats and Republicans separately.

  View details for DOI 10.1038/s41562-025-02328-w

  View details for PubMedID 41772056

  View details for PubMedCentralID 9586282

• What Drives Risky Prescription Opioid Use? Evidence From Migration* QUARTERLY JOURNAL OF ECONOMICS Finkelstein, A., Gentzkow, M., Li, D. 2025

  View details for DOI 10.1093/qje/qjaf037

  View details for Web of Science ID 001566567000001

• Ideological Bias and Trust in Information Sources AMERICAN ECONOMIC JOURNAL-MICROECONOMICS Gentzkow, M., Wong, M. B., Zhang, A. T. 2025; 17 (2): 162-213

  View details for DOI 10.1257/mic.20210406

  View details for Web of Science ID 001489751000006

• Structural Estimation Under Misspecification: Theory and Implications for Practice* QUARTERLY JOURNAL OF ECONOMICS Andrews, I., Barahona, N., Gentzkow, M., Rambachan, A., Shapiro, J. M. 2025

  View details for DOI 10.1093/qje/qjaf018

  View details for Web of Science ID 001478919300001

• What explains temporal and geographic variation in the early US COVID-19 pandemic? REVIEW OF ECONOMIC DESIGN Allcott, H., Boxell, L., Conway, J., Ferguson, B., Gentzkow, M., Goldman, B. 2024

  View details for DOI 10.1007/s10058-024-00375-9

  View details for Web of Science ID 001379985200001

• The Diffusion and Reach of (Mis)Information on Facebook During the U.S. 2020 Election SOCIOLOGICAL SCIENCE Gonzalez-Bailon, S., Lazer, D., Barbera, P., Godel, W., Allcott, H., Brown, T., Crespo-Tenorio, A., Freelon, D., Gentzkow, M., Guess, A. M., Iyengar, S., Kim, Y., Malhotra, N., Moehler, D., Nyhan, B., Pan, J., Rivera, C., Settle, J., Thorson, E., Tromble, R., Wilkins, A., Wojcieszak, M., de Jonge, C., Franco, A., Mason, W., Stroud, N., Tucker, J. A. 2024; 11: 1124-1146

  View details for DOI 10.15195/v11.a41

  View details for Web of Science ID 001376486900001

• The effects of Facebook and Instagram on the 2020 election: A deactivation experiment. Proceedings of the National Academy of Sciences of the United States of America Allcott, H., Gentzkow, M., Mason, W., Wilkins, A., Barberá, P., Brown, T., Cisneros, J. C., Crespo-Tenorio, A., Dimmery, D., Freelon, D., González-Bailón, S., Guess, A. M., Kim, Y. M., Lazer, D., Malhotra, N., Moehler, D., Nair-Desai, S., Nait El Barj, H., Nyhan, B., Paixao de Queiroz, A. C., Pan, J., Settle, J., Thorson, E., Tromble, R., Velasco Rivera, C., Wittenbrink, B., Wojcieszak, M., Zahedian, S., Franco, A., Kiewiet de Jonge, C., Stroud, N. J., Tucker, J. A. 2024; 121 (21): e2321584121

  Abstract

  We study the effect of Facebook and Instagram access on political beliefs, attitudes, and behavior by randomizing a subset of 19,857 Facebook users and 15,585 Instagram users to deactivate their accounts for 6 wk before the 2020 U.S. election. We report four key findings. First, both Facebook and Instagram deactivation reduced an index of political participation (driven mainly by reduced participation online). Second, Facebook deactivation had no significant effect on an index of knowledge, but secondary analyses suggest that it reduced knowledge of general news while possibly also decreasing belief in misinformation circulating online. Third, Facebook deactivation may have reduced self-reported net votes for Trump, though this effect does not meet our preregistered significance threshold. Finally, the effects of both Facebook and Instagram deactivation on affective and issue polarization, perceived legitimacy of the election, candidate favorability, and voter turnout were all precisely estimated and close to zero.

  View details for DOI 10.1073/pnas.2321584121

  View details for PubMedID 38739793

• Cross-Country Trends in Affective Polarization REVIEW OF ECONOMICS AND STATISTICS Boxell, L., Gentzkow, M., Shapiro, J. M. 2024; 106 (2): 557-565

  View details for DOI 10.1162/rest_a_01160

  View details for Web of Science ID 001187810500016

• Pricing Power in Advertising Markets: Theory and Evidence AMERICAN ECONOMIC REVIEW Gentzkow, M., Shapiro, J., Yang, F., Yurukoglu, A. 2024; 114 (2): 500-533

  View details for DOI 10.1257/aer.20220943

  View details for Web of Science ID 001198648000001

• Author Correction: Like-minded sources on Facebook are prevalent but not polarizing. Nature Nyhan, B., Settle, J., Thorson, E., Wojcieszak, M., Barberá, P., Chen, A. Y., Allcott, H., Brown, T., Crespo-Tenorio, A., Dimmery, D., Freelon, D., Gentzkow, M., González-Bailón, S., Guess, A. M., Kennedy, E., Kim, Y. M., Lazer, D., Malhotra, N., Moehler, D., Pan, J., Thomas, D. R., Tromble, R., Rivera, C. V., Wilkins, A., Xiong, B., de Jonge, C. K., Franco, A., Mason, W., Stroud, N. J., Tucker, J. A. 2023

  View details for DOI 10.1038/s41586-023-06795-x

  View details for PubMedID 37914941

• Reshares on social media amplify political news but do not detectably affect beliefs or opinions. Science (New York, N.Y.) Guess, A. M., Malhotra, N., Pan, J., Barberá, P., Allcott, H., Brown, T., Crespo-Tenorio, A., Dimmery, D., Freelon, D., Gentzkow, M., González-Bailón, S., Kennedy, E., Kim, Y. M., Lazer, D., Moehler, D., Nyhan, B., Rivera, C. V., Settle, J., Thomas, D. R., Thorson, E., Tromble, R., Wilkins, A., Wojcieszak, M., Xiong, B., de Jonge, C. K., Franco, A., Mason, W., Stroud, N. J., Tucker, J. A. 2023; 381 (6656): 404-408

  Abstract

  We studied the effects of exposure to reshared content on Facebook during the 2020 US election by assigning a random set of consenting, US-based users to feeds that did not contain any reshares over a 3-month period. We find that removing reshared content substantially decreases the amount of political news, including content from untrustworthy sources, to which users are exposed; decreases overall clicks and reactions; and reduces partisan news clicks. Further, we observe that removing reshared content produces clear decreases in news knowledge within the sample, although there is some uncertainty about how this would generalize to all users. Contrary to expectations, the treatment does not significantly affect political polarization or any measure of individual-level political attitudes.

  View details for DOI 10.1126/science.add8424

  View details for PubMedID 37499012

• Asymmetric ideological segregation in exposure to political news on Facebook. Science (New York, N.Y.) González-Bailón, S., Lazer, D., Barberá, P., Zhang, M., Allcott, H., Brown, T., Crespo-Tenorio, A., Freelon, D., Gentzkow, M., Guess, A. M., Iyengar, S., Kim, Y. M., Malhotra, N., Moehler, D., Nyhan, B., Pan, J., Rivera, C. V., Settle, J., Thorson, E., Tromble, R., Wilkins, A., Wojcieszak, M., de Jonge, C. K., Franco, A., Mason, W., Stroud, N. J., Tucker, J. A. 2023; 381 (6656): 392-398

  Abstract

  Does Facebook enable ideological segregation in political news consumption? We analyzed exposure to news during the US 2020 election using aggregated data for 208 million US Facebook users. We compared the inventory of all political news that users could have seen in their feeds with the information that they saw (after algorithmic curation) and the information with which they engaged. We show that (i) ideological segregation is high and increases as we shift from potential exposure to actual exposure to engagement; (ii) there is an asymmetry between conservative and liberal audiences, with a substantial corner of the news ecosystem consumed exclusively by conservatives; and (iii) most misinformation, as identified by Meta's Third-Party Fact-Checking Program, exists within this homogeneously conservative corner, which has no equivalent on the liberal side. Sources favored by conservative audiences were more prevalent on Facebook's news ecosystem than those favored by liberals.

  View details for DOI 10.1126/science.ade7138

  View details for PubMedID 37499003

• How do social media feed algorithms affect attitudes and behavior in an election campaign? Science (New York, N.Y.) Guess, A. M., Malhotra, N., Pan, J., Barberá, P., Allcott, H., Brown, T., Crespo-Tenorio, A., Dimmery, D., Freelon, D., Gentzkow, M., González-Bailón, S., Kennedy, E., Kim, Y. M., Lazer, D., Moehler, D., Nyhan, B., Rivera, C. V., Settle, J., Thomas, D. R., Thorson, E., Tromble, R., Wilkins, A., Wojcieszak, M., Xiong, B., de Jonge, C. K., Franco, A., Mason, W., Stroud, N. J., Tucker, J. A. 2023; 381 (6656): 398-404

  Abstract

  We investigated the effects of Facebook's and Instagram's feed algorithms during the 2020 US election. We assigned a sample of consenting users to reverse-chronologically-ordered feeds instead of the default algorithms. Moving users out of algorithmic feeds substantially decreased the time they spent on the platforms and their activity. The chronological feed also affected exposure to content: The amount of political and untrustworthy content they saw increased on both platforms, the amount of content classified as uncivil or containing slur words they saw decreased on Facebook, and the amount of content from moderate friends and sources with ideologically mixed audiences they saw increased on Facebook. Despite these substantial changes in users' on-platform experience, the chronological feed did not significantly alter levels of issue polarization, affective polarization, political knowledge, or other key attitudes during the 3-month study period.

  View details for DOI 10.1126/science.abp9364

  View details for PubMedID 37498999

• Like-minded sources on Facebook are prevalent but not polarizing. Nature Nyhan, B., Settle, J., Thorson, E., Wojcieszak, M., Barberá, P., Chen, A. Y., Allcott, H., Brown, T., Crespo-Tenorio, A., Dimmery, D., Freelon, D., Gentzkow, M., González-Bailón, S., Guess, A. M., Kennedy, E., Kim, Y. M., Lazer, D., Malhotra, N., Moehler, D., Pan, J., Thomas, D. R., Tromble, R., Rivera, C. V., Wilkins, A., Xiong, B., de Jonge, C. K., Franco, A., Mason, W., Stroud, N. J., Tucker, J. A. 2023

  Abstract

  Many critics raise concerns about the prevalence of 'echo chambers' on social media and their potential role in increasing political polarization. However, the lack of available data and the challenges of conducting large-scale field experiments have made it difficult to assess the scope of the problem1,2. Here we present data from 2020 for the entire population of active adult Facebook users in the USA showing that content from 'like-minded' sources constitutes the majority of what people see on the platform, although political information and news represent only a small fraction of these exposures. To evaluate a potential response to concerns about the effects of echo chambers, we conducted a multi-wave field experiment on Facebook among 23,377 users for whom we reduced exposure to content from like-minded sources during the 2020 US presidential election by about one-third. We found that the intervention increased their exposure to content from cross-cutting sources and decreased exposure to uncivil language, but had no measurable effects on eight preregistered attitudinal measures such as affective polarization, ideological extremity, candidate evaluations and belief in false claims. These precisely estimated results suggest that although exposure to content from like-minded sources on social media is common, reducing its prevalence during the 2020 US presidential election did not correspondingly reduce polarization in beliefs or attitudes.

  View details for DOI 10.1038/s41586-023-06297-w

  View details for PubMedID 37500978

  View details for PubMedCentralID 9524832

• Digital Addiction AMERICAN ECONOMIC REVIEW Allcott, H., Gentzkow, M., Song, L. 2022; 112 (7): 2424-2463

  View details for DOI 10.1257/aer.20210867

  View details for Web of Science ID 000823623000010

• Selection with Variation in Diagnostic Skill: Evidence from Radiologists. The quarterly journal of economics Chan, D. C., Gentzkow, M., Yu, C. 2022; 137 (2): 729-783

  Abstract

  Physicians, judges, teachers, and agents in many other settings differ systematically in the decisions they make when faced with similar cases. Standard approaches to interpreting and exploiting such differences assume they arise solely from variation in preferences. We develop an alternative framework that allows variation in preferences and diagnostic skill and show that both dimensions may be partially identified in standard settings under quasi-random assignment. We apply this framework to study pneumonia diagnoses by radiologists. Diagnosis rates vary widely among radiologists, and descriptive evidence suggests that a large component of this variation is due to differences in diagnostic skill. Our estimated model suggests that radiologists view failing to diagnose a patient with pneumonia as more costly than incorrectly diagnosing one without, and that this leads less skilled radiologists to optimally choose lower diagnostic thresholds. Variation in skill can explain 39% of the variation in diagnostic decisions, and policies that improve skill perform better than uniform decision guidelines. Failing to account for skill variation can lead to highly misleading results in research designs that use agent assignments as instruments.

  View details for DOI 10.1093/qje/qjab048

  View details for PubMedID 35422677

  View details for PubMedCentralID PMC8992547

• Selection with Variation in Diagnostic Skill: Evidence from Radiologists* QUARTERLY JOURNAL OF ECONOMICS Chan, D. C., Gentzkow, M., Yu, C. 2022

  View details for DOI 10.1093/qje/qjab048

  View details for Web of Science ID 000763802200001

• Affective Polarization Did Not Increase During the COVID-19 Pandemic QUARTERLY JOURNAL OF POLITICAL SCIENCE Boxell, L., Conway, J., Druckman, J. N., Gentzkow, M. 2022; 17 (4): 491-512

  View details for DOI 10.1561/100.00021027

  View details for Web of Science ID 000910178600003

• Estimating experienced racial segregation in US cities using large-scale GPS data. Proceedings of the National Academy of Sciences of the United States of America Athey, S., Ferguson, B., Gentzkow, M., Schmidt, T. 2021; 118 (46)

  Abstract

  We estimate a measure of segregation, experienced isolation, that captures individuals' exposure to diverse others in the places they visit over the course of their days. Using Global Positioning System (GPS) data collected from smartphones, we measure experienced isolation by race. We find that the isolation individuals experience is substantially lower than standard residential isolation measures would suggest but that experienced isolation and residential isolation are highly correlated across cities. Experienced isolation is lower relative to residential isolation in denser, wealthier, more educated cities with high levels of public transit use and is also negatively correlated with income mobility.

  View details for DOI 10.1073/pnas.2026160118

  View details for PubMedID 34764221

• Place-Based Drivers of Mortality: Evidence from Migration. The American economic review Finkelstein, A., Gentzkow, M., Williams, H. 2021; 111 (8): 2697-2735

  Abstract

  We estimate the effect of current location on elderly mortality by analyzing outcomes of movers in the Medicare population. We control for movers' origin locations as well as a rich vector of pre-move health measures. We also develop a novel strategy to adjust for remaining unobservables, using the correlation of residual mortality with movers' origins to gauge the importance of omitted variables. We estimate substantial effects of current location. Moving from a 10th to a 90th percentile location would increase life expectancy at age 65 by 1.1 years, and equalizing location effects would reduce cross-sectional variation in life expectancy by 15 percent. Places with favorable life expectancy effects tend to have higher quality and quantity of health care, less extreme climates, lower crime rates, and higher socioeconomic status.

  View details for DOI 10.1257/aer.20190825

  View details for PubMedID 34887592

  View details for PubMedCentralID PMC8653912

• Place-Based Drivers of Mortality: Evidence from Migration AMERICAN ECONOMIC REVIEW Finkelstein, A., Gentzkow, M., Williams, H. 2021; 111 (8): 2697-2735

  View details for DOI 10.1257/aer.20190825

  View details for Web of Science ID 000678343500010

• Reply to: Comments on "On the Informativeness of Descriptive Statistics for Structural Estimates" ECONOMETRICA Andrews, I., Gentzkow, M., Shapiro, J. M. 2020; 88 (6): 2277–79

  View details for DOI 10.3982/ECTA18786

  View details for Web of Science ID 000590695200005

• On the Informativeness of Descriptive Statistics for Structural Estimates ECONOMETRICA Andrews, I., Gentzkow, M., Shapiro, J. M. 2020; 88 (6): 2231–58

  View details for DOI 10.3982/ECTA16768

  View details for Web of Science ID 000590695200001

• Rejoinder JOURNAL OF BUSINESS & ECONOMIC STATISTICS Andrews, I., Gentzkow, M., Shapiro, J. M. 2020; 38 (4): 731

  View details for DOI 10.1080/07350015.2020.1791886

  View details for Web of Science ID 000573571100005

• Transparency in Structural Research JOURNAL OF BUSINESS & ECONOMIC STATISTICS Andrews, I., Gentzkow, M., Shapiro, J. M. 2020

  View details for DOI 10.1080/07350015.2020.1796395

  View details for Web of Science ID 000562233000001

• The Welfare Effects of Social Media AMERICAN ECONOMIC REVIEW Allcott, H., Braghieri, L., Eichmeyer, S., Gentzkow, M. 2020; 110 (3): 629–76

  View details for DOI 10.1257/aer.20190658

  View details for Web of Science ID 000522716800001

• Polarization and Public Health: Partisan Differences in Social Distancing during the Coronavirus Pandemic. Journal of public economics Allcott, H. n., Boxell, L. n., Conway, J. n., Gentzkow, M. n., Thaler, M. n., Yang, D. n. 2020: 104254

  Abstract

  We study partisan differences in Americans' response to the COVID-19 pandemic. Political leaders and media outlets on the right and left have sent divergent messages about the severity of the crisis, which could impact the extent to which Republicans and Democrats engage in social distancing and other efforts to reduce disease transmission. We develop a simple model of a pandemic response with heterogeneous agents that clarifies the causes and consequences of heterogeneous responses. We use location data from a large sample of smartphones to show that areas with more Republicans engaged in less social distancing, controlling for other factors including public policies, population density, and local COVID cases and deaths. We then present new survey evidence of significant gaps at the individual level between Republicans and Democrats in self-reported social distancing, beliefs about personal COVID risk, and beliefs about the future severity of the pandemic.

  View details for DOI 10.1016/j.jpubeco.2020.104254

  View details for PubMedID 32836504

  View details for PubMedCentralID PMC7409721

• UNIFORM PRICING IN US RETAIL CHAINS QUARTERLY JOURNAL OF ECONOMICS DellaVigna, S., Gentzkow, M. 2019; 134 (4): 2011–84

  View details for DOI 10.1093/qje/qjz019

  View details for Web of Science ID 000489163400007

• Text as Data JOURNAL OF ECONOMIC LITERATURE Gentzkow, M., Kelly, B., Taddy, M. 2019; 57 (3): 535–74

  View details for DOI 10.1257/jel.20181020

  View details for Web of Science ID 000484841000001

• Measuring Group Differences in High-Dimensional Choices: Method and Application to Congressional Speech ECONOMETRICA Gentzkow, M., Shapiro, J. M., Taddy, M. 2019; 87 (4): 1307–40

  View details for DOI 10.3982/ECTA16566

  View details for Web of Science ID 000477078700006

• Trends in the diffusion of misinformation on social media RESEARCH & POLITICS Allcott, H., Gentzkow, M., Yu, C. 2019; 6 (2)

  View details for DOI 10.1177/2053168019848554

  View details for Web of Science ID 000467602400001

• A note on internet use and the 2016 U.S. presidential election outcome. PloS one Boxell, L., Gentzkow, M., Shapiro, J. M. 2018; 13 (7): e0199571

  Abstract

  We use data from the American National Election Studies from 1996 to 2016 to study the role of the internet in the 2016 U.S. presidential election outcome. We compare trends in the Republican share of the vote between likely and unlikely internet users, and between actual internet users and non-users. Relative to prior years, the Republican share of the vote in 2016 was as high or higher among the groups least active online.

  View details for PubMedID 30020953

• Small media, big impact SCIENCE Gentzkow, M. 2017; 358 (6364): 726–27

  View details for PubMedID 29123054

• MEASURING THE SENSITIVITY OF PARAMETER ESTIMATES TO ESTIMATION MOMENTS QUARTERLY JOURNAL OF ECONOMICS Andrews, I., Gentzkow, M., Shapiro, J. M. 2017; 132 (4): 1553–92

  View details for DOI 10.1093/qje/qjx023

  View details for Web of Science ID 000412764300001

• Greater Internet use is not associated with faster growth in political polarization among US demographic groups PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA Boxell, L., Gentzkow, M., Shapiro, J. M. 2017; 114 (40): 10612–17

  Abstract

  We combine eight previously proposed measures to construct an index of political polarization among US adults. We find that polarization has increased the most among the demographic groups least likely to use the Internet and social media. Our overall index and all but one of the individual measures show greater increases for those older than 65 than for those aged 18-39. A linear model estimated at the age-group level implies that the Internet explains a small share of the recent growth in polarization.

  View details for PubMedID 28928150

• Bayesian persuasion with multiple senders and rich signal spaces GAMES AND ECONOMIC BEHAVIOR Gentzkow, M., Kamenica, E. 2017; 104: 411–29

  View details for DOI 10.1016/j.geb.2017.05.004

  View details for Web of Science ID 000408296200023

• Adjusting Risk Adjustment - Accounting for Variation in Diagnostic Intensity. New England journal of medicine Finkelstein, A., Gentzkow, M., Hull, P., Williams, H. 2017; 376 (7): 608-610

  View details for DOI 10.1056/NEJMp1613238

  View details for PubMedID 28199802

  View details for PubMedCentralID PMC5380362

• Competition in Persuasion REVIEW OF ECONOMIC STUDIES Gentzkow, M., Kamenica, E. 2017; 84 (1): 300-322

  View details for DOI 10.1093/restud/rdw052

  View details for Web of Science ID 000397127400009

• Sources of Geographic Variation in Health Care: Evidence From Patient Migration QUARTERLY JOURNAL OF ECONOMICS Finkelstein, A., Gentzkow, M., Williams, H. 2016; 131 (4): 1681-1726

  Abstract

  We study the drivers of geographic variation in US health care utilization, using an empirical strategy that exploits migration of Medicare patients to separate the role of demand and supply factors. Our approach allows us to account for demand differences driven by both observable and unobservable patient characteristics. Within our sample of over-65 Medicare beneficiaries, we find that 40-50 percent of geographic variation in utilization is attributable to demand-side factors, including health and preferences, with the remainder due to place-specific supply factors. JEL: H51, I1, I11.

  View details for DOI 10.1093/qje/qjw023

  View details for Web of Science ID 000388576700003

  View details for PubMedID 28111482

  View details for PubMedCentralID PMC5243120

• A Rothschild-Stiglitz Approach to Bayesian Persuasion AMERICAN ECONOMIC REVIEW Gentzkow, M., Kamenica, E. 2016; 106 (5): 597-601

  View details for DOI 10.1257/aer.p20161049

  View details for Web of Science ID 000379341300112

• DO PHARMACISTS BUY BAYER? INFORMED SHOPPERS AND THE BRAND PREMIUM QUARTERLY JOURNAL OF ECONOMICS Bronnenberg, B. J., Dube, J., Gentzkow, M., Shapiro, J. M. 2015; 130 (4): 1669-1726

  View details for DOI 10.1093/qje/qjv024

  View details for Web of Science ID 000365535400003