IDEAS home Printed from https://ideas.repec.org/f/pgo903.html
   My authors  Follow this author

Miguel Godinho de Matos

Personal Details

First Name:Miguel
Middle Name:
Last Name:Godinho de Matos
Suffix:
RePEc Short-ID:pgo903
[This author has chosen not to make the email address public]
https://sites.google.com/view/miguelgodinhomatos/

Affiliation

(88%) Faculdade de Ciências Económicas e Empresariais
Universidade Católica Portuguesa

Lisboa, Portugal
https://www.clsbe.lisboa.ucp.pt/
RePEc:edi:fcucppt (more details at EDIRC)

(12%) H. John Heinz III School of Public Policy and Management
Carnegie Mellon University

Pittsburgh, Pennsylvania (United States)
http://www.heinz.cmu.edu/
RePEc:edi:jhscmus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Rebelo, Sérgio & Eichenbaum, Martin & Godinho de Matos, Miguel & Lima, Francisco & Trabandt, Mathias, 2022. "Expectations, Infections, and Economic Activity," CEPR Discussion Papers 15373, C.E.P.R. Discussion Papers.

Articles

  1. Miguel Godinho de Matos & Pedro Ferreira, 2020. "The Effect of Binge-Watching on the Subscription of Video on Demand: Results from Randomized Experiments," Information Systems Research, INFORMS, vol. 31(4), pages 1337-1360, December.
  2. Rodrigo Belo & Pedro Ferreira & Miguel Godinho de Matos & Filipa Reis, 2019. "The Impact of Time Shifting on TV Consumption and Ad Viewership," Management Science, INFORMS, vol. 65(7), pages 3216-3234, July.
  3. Miguel Godinho de Matos & Pedro Ferreira & Rodrigo Belo, 2018. "Target the Ego or Target the Group: Evidence from a Randomized Experiment in Proactive Churn Management," Marketing Science, INFORMS, vol. 37(5), pages 793-811, September.
  4. Miguel Godinho de Matos & Pedro Ferreira & Michael D. Smith & Rahul Telang, 2016. "Culling the Herd: Using Real-World Randomized Experiments to Measure Social Bias with Known Costly Goods," Management Science, INFORMS, vol. 62(9), pages 2563-2580, September.
    RePEc:inm:ormnsc:v:64:y:2018:i:12:p:5610-5630 is not listed on IDEAS

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Rebelo, Sérgio & Eichenbaum, Martin & Godinho de Matos, Miguel & Lima, Francisco & Trabandt, Mathias, 2022. "Expectations, Infections, and Economic Activity," CEPR Discussion Papers 15373, C.E.P.R. Discussion Papers.

    Cited by:

    1. Giovanni Immordino & Tullio Jappelli & Tommaso Oliviero & Alberto Zazzaro, 2021. "Fear of COVID-19 Contagion and Consumption: Evidence from a Survey of Italian Households," CSEF Working Papers 601, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    2. Albuquerque, Bruno & Green, Georgina, 2023. "Financial concerns and the marginal propensity to consume in COVID times: Evidence from UK survey data," Journal of Macroeconomics, Elsevier, vol. 78(C).
    3. Martin S Eichenbaum & Sergio Rebelo & Mathias Trabandt, 2021. "The Macroeconomics of Epidemics [Economic activity and the spread of viral diseases: Evidence from high frequency data]," The Review of Financial Studies, Society for Financial Studies, vol. 34(11), pages 5149-5187.
    4. Schnabl, Gunther & Sepp, Tim, 2021. "Inflationsziel und Inflationsmessung in der Eurozone im Wandel," Working Papers 172, University of Leipzig, Faculty of Economics and Management Science.
    5. Claire Greene & Ellen A. Merry & Joanna Stavins, 2021. "Has COVID Changed Consumer Payment Behavior?," Working Papers 21-12, Federal Reserve Bank of Boston.
    6. Martin S. Eichenbaum & Sergio Rebelo & Mathias Trabandt, 2021. "Inequality in Life and Death," NBER Working Papers 29063, National Bureau of Economic Research, Inc.
    7. Bruno P. Carvalho & Susana Peralta & João Pereira dos Santos, 2022. "Regional and sectorial impacts of the Covid‐19 crisis: Evidence from electronic payments," Journal of Regional Science, Wiley Blackwell, vol. 62(3), pages 757-798, June.

Articles

  1. Miguel Godinho de Matos & Pedro Ferreira, 2020. "The Effect of Binge-Watching on the Subscription of Video on Demand: Results from Randomized Experiments," Information Systems Research, INFORMS, vol. 31(4), pages 1337-1360, December.

    Cited by:

    1. Song, Lianlian & Zhang, Qiuxiang & Hu, Baixue & Mou, Jian, 2022. "To resist or to purchase: The causal mechanism of binge-watching and program purchase," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    2. Gänßle, Sophia & Kunz-Kaltenhaeuser, Philipp, 2020. "What drives binge-watching? An economic theory and analysis of impact factors," Ilmenau Economics Discussion Papers 138, Ilmenau University of Technology, Institute of Economics.

  2. Rodrigo Belo & Pedro Ferreira & Miguel Godinho de Matos & Filipa Reis, 2019. "The Impact of Time Shifting on TV Consumption and Ad Viewership," Management Science, INFORMS, vol. 65(7), pages 3216-3234, July.

    Cited by:

    1. Miguel Godinho de Matos & Pedro Ferreira, 2020. "The Effect of Binge-Watching on the Subscription of Video on Demand: Results from Randomized Experiments," Information Systems Research, INFORMS, vol. 31(4), pages 1337-1360, December.
    2. Jordi McKenzie, 2023. "The economics of movies (revisited): A survey of recent literature," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 480-525, April.
    3. Song, Lianlian & Zhang, Qiuxiang & Hu, Baixue & Mou, Jian, 2022. "To resist or to purchase: The causal mechanism of binge-watching and program purchase," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).

  3. Miguel Godinho de Matos & Pedro Ferreira & Rodrigo Belo, 2018. "Target the Ego or Target the Group: Evidence from a Randomized Experiment in Proactive Churn Management," Marketing Science, INFORMS, vol. 37(5), pages 793-811, September.

    Cited by:

    1. Xianghua Lu & Tian Lu & Chong (Alex) Wang & Ruofan Wu, 2021. "Can Social Notifications Help to Mitigate Payment Delinquency in Online Peer‐to‐Peer Lending?," Production and Operations Management, Production and Operations Management Society, vol. 30(8), pages 2564-2585, August.
    2. Jaehwuen Jung & Ravi Bapna & Joseph M. Golden & Tianshu Sun, 2020. "Words Matter! Toward a Prosocial Call-to-Action for Online Referral: Evidence from Two Field Experiments," Information Systems Research, INFORMS, vol. 31(1), pages 16-36, March.
    3. Miguel Godinho de Matos & Idris Adjerid, 2022. "Consumer Consent and Firm Targeting After GDPR: The Case of a Large Telecom Provider," Management Science, INFORMS, vol. 68(5), pages 3330-3378, May.

  4. Miguel Godinho de Matos & Pedro Ferreira & Michael D. Smith & Rahul Telang, 2016. "Culling the Herd: Using Real-World Randomized Experiments to Measure Social Bias with Known Costly Goods," Management Science, INFORMS, vol. 62(9), pages 2563-2580, September.

    Cited by:

    1. Gediminas Adomavicius & Jesse C. Bockstedt & Shawn P. Curley & Jingjing Zhangc, 2018. "Effects of Online Recommendations on Consumers’ Willingness to Pay," Information Systems Research, INFORMS, vol. 29(1), pages 84-102, March.
    2. Li, Feng & Du, Timon Chih-ting & Wei, Ying, 2019. "Offensive pricing strategies for online platforms," International Journal of Production Economics, Elsevier, vol. 216(C), pages 287-304.
    3. Ali, Mazhar & Amir, Dr.Huma & Shamsi, Dr.Aamir, 2021. "Consumer Herding Behavior in Online Buying: A Literature Review," MPRA Paper 107435, University Library of Munich, Germany.
    4. Sim, Jaeung & Park, Jea Gon & Cho, Daegon & Smith, Michael D. & Jung, Jaemin, 2022. "Bestseller lists and product discovery in the subscription-based market: Evidence from music streaming," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 550-567.
    5. Tian, Xin & Song, Yan & Luo, Chunlin & Zhou, Xiaoyang & Lev, Benjamin, 2021. "Herding behavior in supplier innovation crowdfunding: Evidence from Kickstarter," International Journal of Production Economics, Elsevier, vol. 239(C).
    6. Kretschmer, Tobias & Peukert, Christian, 2019. "Video Killed the Radio Star? Online Music Videos and Recorded Music Sales," CEPR Discussion Papers 14038, C.E.P.R. Discussion Papers.
    7. Wenlin Chen & Chung-Li Tseng & Shu-Jung Sunny Yang, 2020. "Improving Hand Hygiene Process Compliance Through Process Monitoring in Healthcare," Manufacturing & Service Operations Management, INFORMS, vol. 22(4), pages 669-682, July.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-RMG: Risk Management (2) 2020-11-09 2021-05-24. Author is listed
  2. NEP-DEM: Demographic Economics (1) 2020-11-09. Author is listed
  3. NEP-MAC: Macroeconomics (1) 2021-05-24. Author is listed
  4. NEP-ORE: Operations Research (1) 2021-05-24. Author is listed

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Miguel Godinho de Matos should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.