IDEAS home Printed from https://ideas.repec.org/a/inm/ormksc/v41y2022i3p453-476.html
   My bibliography  Save this article

Visibility and Peer Influence in Durable Good Adoption

Author

Listed:
  • Bryan Bollinger

    (Stern School of Business, New York University, New York, New York 10012)

  • Kenneth Gillingham

    (Yale University and National Bureau of Economic Research, New Haven, Connecticut 06511)

  • A. Justin Kirkpatrick

    (Department of Economics, Michigan State University, East Lansing, Michigan 48824)

  • Steven Sexton

    (Sanford School of Public Policy, Duke University, Durham, North Carolina 27710)

Abstract

The underlying channels through which peer influence operates in durable good adoption can affect the ability of marketers to leverage them. In this paper, we assess whether the visibility of peers’ adoption decisions leads to greater peer influence. The context we study is residential rooftop solar panels. We exploit the plausibly exogenous location and orientation of peers’ rooftop solar panels relative to proximate roadways and visual obstructions, such as vegetation, in order to determine whether geographically proximate peer installations increase a household’s probability of solar adoption more if they are visible from the road. We find that the total angle of visibility of peer installations on the same street positively affects solar adoption decisions at distances of at least 500 meters (m). In contrast, we only find a positive effect of nonvisible solar arrays within 100 m, which may be due to causal peer influence via other channels, such as word of mouth, or very localized unobservable effects. The effect of peer visibility is moderated by the economic value that the peers receive from installing solar, providing suggestive evidence of social learning through visual information.

Suggested Citation

  • Bryan Bollinger & Kenneth Gillingham & A. Justin Kirkpatrick & Steven Sexton, 2022. "Visibility and Peer Influence in Durable Good Adoption," Marketing Science, INFORMS, vol. 41(3), pages 453-476, May.
  • Handle: RePEc:inm:ormksc:v:41:y:2022:i:3:p:453-476
    DOI: 10.1287/mksc.2021.1306
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mksc.2021.1306
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mksc.2021.1306?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    2. Wesley Hartmann & Puneet Manchanda & Harikesh Nair & Matthew Bothner & Peter Dodds & David Godes & Kartik Hosanagar & Catherine Tucker, 2008. "Modeling social interactions: Identification, empirical methods and policy implications," Marketing Letters, Springer, vol. 19(3), pages 287-304, December.
    3. Raghuram Iyengar & Christophe Van den Bulte & Jae Young Lee, 2015. "Social Contagion in New Product Trial and Repeat," Marketing Science, INFORMS, vol. 34(3), pages 408-429, May.
    4. Stefano DellaVigna & John A. List & Ulrike Malmendier, 2012. "Testing for Altruism and Social Pressure in Charitable Giving," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(1), pages 1-56.
    5. Esther Duflo & Emmanuel Saez, 2003. "The Role of Information and Social Interactions in Retirement Plan Decisions: Evidence from a Randomized Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(3), pages 815-842.
    6. Punj, Girish N & Staelin, Richard, 1983. "A Model of Consumer Information Search Behavior for New Automobiles," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 9(4), pages 366-380, March.
    7. David Bell & Sangyoung Song, 2007. "Neighborhood effects and trial on the internet: Evidence from online grocery retailing," Quantitative Marketing and Economics (QME), Springer, vol. 5(4), pages 361-400, December.
    8. Mitchell J. Lovett & Richard Staelin, 2016. "The Role of Paid, Earned, and Owned Media in Building Entertainment Brands: Reminding, Informing, and Enhancing Enjoyment," Marketing Science, INFORMS, vol. 35(1), pages 142-157, January.
    9. Yansong Hu & Christophe Van den Bulte, 2014. "Nonmonotonic Status Effects in New Product Adoption," Marketing Science, INFORMS, vol. 33(4), pages 509-533, July.
    10. Christophe Van den Bulte & Yogesh V. Joshi, 2007. "New Product Diffusion with Influentials and Imitators," Marketing Science, INFORMS, vol. 26(3), pages 400-421, 05-06.
    11. Esther Duflo & Pascaline Dupas & Michael Kremer, 2011. "Peer Effects, Teacher Incentives, and the Impact of Tracking: Evidence from a Randomized Evaluation in Kenya," American Economic Review, American Economic Association, vol. 101(5), pages 1739-1774, August.
    12. Timothy G. Conley & Christopher R. Udry, 2010. "Learning about a New Technology: Pineapple in Ghana," American Economic Review, American Economic Association, vol. 100(1), pages 35-69, March.
    13. Steven Sexton & A. Justin Kirkpatrick & Robert I. Harris & Nicholas Z. Muller, 2021. "Heterogeneous Solar Capacity Benefits, Appropriability, and the Costs of Suboptimal Siting," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 8(6), pages 1209-1244.
    14. Paulo Guimarães & Pedro Portugal, 2010. "A simple feasible procedure to fit models with high-dimensional fixed effects," Stata Journal, StataCorp LP, vol. 10(4), pages 628-649, December.
    15. Sergio Correia & Paulo Guimarães & Tom Zylkin, 2020. "Fast Poisson estimation with high-dimensional fixed effects," Stata Journal, StataCorp LP, vol. 20(1), pages 95-115, March.
    16. repec:feb:framed:0087 is not listed on IDEAS
    17. Gaure, Simen, 2013. "OLS with multiple high dimensional category variables," Computational Statistics & Data Analysis, Elsevier, vol. 66(C), pages 8-18.
    18. Bryan Bollinger & Jesse Burkhardt & Kenneth T. Gillingham, 2020. "Peer Effects in Residential Water Conservation: Evidence from Migration," American Economic Journal: Economic Policy, American Economic Association, vol. 12(3), pages 107-133, August.
    19. Inseong Song & Pradeep Chintagunta, 2003. "A Micromodel of New Product Adoption with Heterogeneous and Forward-Looking Consumers: Application to the Digital Camera Category," Quantitative Marketing and Economics (QME), Springer, vol. 1(4), pages 371-407, December.
    20. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    21. Giorgio Topa, 2001. "Social Interactions, Local Spillovers and Unemployment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 68(2), pages 261-295.
    22. Bryan Bollinger & Kenneth Gillingham, 2012. "Peer Effects in the Diffusion of Solar Photovoltaic Panels," Marketing Science, INFORMS, vol. 31(6), pages 900-912, November.
    23. Giacomo De Giorgi & Michele Pellizzari & Silvia Redaelli, 2010. "Identification of Social Interactions through Partially Overlapping Peer Groups," American Economic Journal: Applied Economics, American Economic Association, vol. 2(2), pages 241-275, April.
    24. Puneet Manchanda & Ying Xie & Nara Youn, 2008. "The Role of Targeted Communication and Contagion in Product Adoption," Marketing Science, INFORMS, vol. 27(6), pages 961-976, 11-12.
    25. Christophe Van den Bulte & Raghuram Iyengar, 2011. "Tricked by Truncation: Spurious Duration Dependence and Social Contagion in Hazard Models," Marketing Science, INFORMS, vol. 30(2), pages 233-248, 03-04.
    26. David Godes & Dina Mayzlin, 2009. "Firm-Created Word-of-Mouth Communication: Evidence from a Field Test," Marketing Science, INFORMS, vol. 28(4), pages 721-739, 07-08.
    27. Mina Ameri & Elisabeth Honka & Ying Xie, 2019. "Word of Mouth, Observed Adoptions, and Anime-Watching Decisions: The Role of the Personal vs. the Community Network," Marketing Science, INFORMS, vol. 38(4), pages 567-583, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Antonopoulos, Chrissi A. & Fuentes, Tracy L. & McCord, Kieren H. & Rackley, Adrienne L.S. & Biswas, Saurabh, 2024. "Regional assessment of household energy decision-making and technology adoption in the United States," Energy Policy, Elsevier, vol. 185(C).
    2. Garcia, Alberto & Heilmayr, Robert, 2024. "Impact evaluation with nonrepeatable outcomes: The case of forest conservation," Journal of Environmental Economics and Management, Elsevier, vol. 125(C).
    3. Rhys Murrian & Paul A. Raschky & Klaus Ackermann, 2024. "Friends, Key Players and the Adoption and Use of Experience Goods," Monash Economics Working Papers 2024-17, Monash University, Department of Economics.
    4. O'Shaughnessy, Eric & Grayson, Alexandra & Barbose, Galen, 2023. "The role of peer influence in rooftop solar adoption inequity in the United States," Energy Economics, Elsevier, vol. 127(PA).
    5. Carattini, Stefano & Gillingham, Kenneth & Meng, Xiangyu & Yoeli, Erez, 2024. "Peer-to-peer solar and social rewards: Evidence from a field experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 219(C), pages 340-370.
    6. Karen Page Winterich & Rebecca Walker Reczek & Tamar Makov, 2024. "How lack of knowledge on emissions and psychological biases deter consumers from taking effective action to mitigate climate change," Journal of the Academy of Marketing Science, Springer, vol. 52(5), pages 1475-1494, October.
    7. Min, Yohan & Ko, Inhwan, 2023. "Causal effects of place, people, and process on rooftop solar adoption through Bayesian inference," Energy, Elsevier, vol. 285(C).
    8. Tanaka, Takuro & Mizutani, Fumitoshi, 2023. "Determinants of the adoption of energy efficient water heaters in the residential sector: Evidence from a survey in Japan," Energy Policy, Elsevier, vol. 180(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Grant Miller & A. Mushfiq Mobarak, 2015. "Learning About New Technologies Through Social Networks: Experimental Evidence on Nontraditional Stoves in Bangladesh," Marketing Science, INFORMS, vol. 34(4), pages 480-499, July.
    2. Bryan Bollinger & Kenneth Gillingham, 2012. "Peer Effects in the Diffusion of Solar Photovoltaic Panels," Marketing Science, INFORMS, vol. 31(6), pages 900-912, November.
    3. Park, Minjung, 2019. "Selection bias in estimation of peer effects in product adoption," Journal of choice modelling, Elsevier, vol. 30(C), pages 17-27.
    4. Viswanathan, Vijay & Sese, F. Javier & Krafft, Manfred, 2017. "Social influence in the adoption of a B2B loyalty program: The role of elite status members," International Journal of Research in Marketing, Elsevier, vol. 34(4), pages 901-918.
    5. Coby Morvinski & On Amir & Eitan Muller, 2017. "“Ten Million Readers Can’t Be Wrong!,” or Can They? On the Role of Information About Adoption Stock in New Product Trial," Marketing Science, INFORMS, vol. 36(2), pages 290-300, March.
    6. Kosuke Uetake & Nathan Yang, 2020. "Inspiration from the “Biggest Loser”: Social Interactions in a Weight Loss Program," Marketing Science, INFORMS, vol. 39(3), pages 487-499, May.
    7. Florian Probst & Laura Grosswiele & Regina Pfleger, 2013. "Who will lead and who will follow: Identifying Influential Users in Online Social Networks," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(3), pages 179-193, June.
    8. Bhatia, Tulikaa & Wang, Lei, 2011. "Identifying physician peer-to-peer effects using patient movement data," International Journal of Research in Marketing, Elsevier, vol. 28(1), pages 51-61.
    9. Rhys Murrian & Paul A. Raschky & Klaus Ackermann, 2024. "Friends, Key Players and the Adoption and Use of Experience Goods," Monash Economics Working Papers 2024-17, Monash University, Department of Economics.
    10. Alexandra E. Hill & Jesse Burkhardt, 2021. "Peers in the Field: The Role of Ability and Gender in Peer Effects among Agricultural Workers," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 790-811, May.
    11. Michael Bailey & Drew Johnston & Theresa Kuchler & Johannes Stroebel & Arlene Wong, 2022. "Peer Effects in Product Adoption," American Economic Journal: Applied Economics, American Economic Association, vol. 14(3), pages 488-526, July.
    12. David Godes & José C. Silva, 2012. "Sequential and Temporal Dynamics of Online Opinion," Marketing Science, INFORMS, vol. 31(3), pages 448-473, May.
    13. Antonia Grohmann & Sahra Sakha, 2015. "The Effect of Peer Observation on Consumption Choices: Experimental Evidence," Discussion Papers of DIW Berlin 1525, DIW Berlin, German Institute for Economic Research.
    14. Sridhar Narayanan & Harikesh S. Nair, 2011. "Estimating Causal Installed-Base Effects: A Bias-Correction Approach," Working Papers 11-22, NET Institute.
    15. Raghuram Iyengar & Christophe Van den Bulte & Jae Young Lee, 2015. "Social Contagion in New Product Trial and Repeat," Marketing Science, INFORMS, vol. 34(3), pages 408-429, May.
    16. Jae Young Lee & David R. Bell, 2013. "Neighborhood Social Capital and Social Learning for Experience Attributes of Products," Marketing Science, INFORMS, vol. 32(6), pages 960-976, November.
    17. Leonardo Bursztyn & Florian Ederer & Bruno Ferman & Noam Yuchtman, 2014. "Understanding Mechanisms Underlying Peer Effects: Evidence From a Field Experiment on Financial Decisions," Econometrica, Econometric Society, vol. 82(4), pages 1273-1301, July.
    18. Landsman, Vardit & Nitzan, Irit, 2020. "Cross-decision social effects in product adoption and defection decisions," International Journal of Research in Marketing, Elsevier, vol. 37(2), pages 213-235.
    19. Liye Ma & Ramayya Krishnan & Alan L. Montgomery, 2015. "Latent Homophily or Social Influence? An Empirical Analysis of Purchase Within a Social Network," Management Science, INFORMS, vol. 61(2), pages 454-473, February.
    20. Federico Cingano & Alfonso Rosolia, 2012. "People I Know: Job Search and Social Networks," Journal of Labor Economics, University of Chicago Press, vol. 30(2), pages 291-332.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:ormksc:v:41:y:2022:i:3:p:453-476. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may 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.