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Brett R. Gordon

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.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Dennis Epple & Brett Gordon & Holger Sieg, 2010. "A New Approach to Estimating the Production Function for Housing," American Economic Review, American Economic Association, vol. 100(3), pages 905-924, June.

    Mentioned in:

    1. A New Approach to Estimating the Production Function for Housing (AER 2010) in ReplicationWiki ()
  2. Ronald L. Goettler & Brett R. Gordon, 2011. "Does AMD Spur Intel to Innovate More?," Journal of Political Economy, University of Chicago Press, vol. 119(6), pages 1141-1200.

    Mentioned in:

    1. Does AMD Spur Intel to Innovate More? (JPE 2011) in ReplicationWiki ()

Working papers

  1. Brett R. Gordon & Robert Moakler & Florian Zettelmeyer, 2023. "Predicted Incrementality by Experimentation (PIE) for Ad Measurement," Papers 2304.06828, arXiv.org, revised Apr 2026.

    Cited by:

    1. Harang Ju & Michael Zhao & Sinan Aral, 2025. "Advertising Spillovers in Mobile Apps: Evidence from Ad Shutoffs and Store Rankings," Papers 2504.16151, arXiv.org, revised Jul 2026.

  2. Brett R. Gordon & Robert Moakler & Florian Zettelmeyer, 2022. "Close Enough? A Large-Scale Exploration of Non-Experimental Approaches to Advertising Measurement," Papers 2201.07055, arXiv.org, revised Oct 2022.

    Cited by:

    1. Helal, Al Mansor & Hiraki, Ryotaro & Patrinos, Harry, 2026. "Returns to Education in the United States: A Comparison of OLS and Double Machine Learning Methods," IZA Discussion Papers 18523, IZA Network @ LISER.
    2. Tsung-Yiou Hsieh & Rex Yuxing Du & Shijie Lu, 2026. "Leveraging Large-Scale Granular Single-Source Data for TV Advertising: An Identification Strategy," Marketing Science, INFORMS, vol. 45(3), pages 632-652, May.
    3. Niklas Heusch, 2026. "Structural Estimation of Marketing Mix Model Parameters from Geo-Experiments," Papers 2608.21128, arXiv.org, revised Sep 2026.
    4. Ali Goli & Jason Huang & David Reiley & Nickolai M. Riabov, 2025. "Measuring consumer sensitivity to audio advertising: a long-run field experiment on Pandora internet radio," Quantitative Marketing and Economics (QME), Springer, vol. 23(3), pages 347-377, September.
    5. Shota Yasui & Tatsushi Oka & Undral Byambadalai & Yuki Oishi, 2026. "Distributional treatment effects of content promotion: evidence from an ABEMA field experiment," The Japanese Economic Review, Springer, vol. 77(2), pages 391-406, April.
    6. Henrika Langen & Martin Huber, 2022. "How causal machine learning can leverage marketing strategies: Assessing and improving the performance of a coupon campaign," Papers 2204.10820, arXiv.org, revised Jun 2022.
    7. Ali Goli & Jason Huang & David Reiley & Nickolai M. Riabov, 2024. "Measuring Consumer Sensitivity to Audio Advertising: A Long-Run Field Experiment on Pandora Internet Radio," Papers 2412.05516, arXiv.org.
    8. Paul B. Ellickson & Wreetabrata Kar & James C. Reeder, 2023. "Estimating Marketing Component Effects: Double Machine Learning from Targeted Digital Promotions," Marketing Science, INFORMS, vol. 42(4), pages 704-728, July.
    9. Moritz von Zahn & Arda Güler & Jella Pfeiffer & Hajo A. Reijers & Oliver Hinz, 2026. "Causal Machine Learning in Information Systems Research," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 68(2), pages 235-242, April.
    10. Guy Aridor & Rafael Jiménez-Durán & Ro'ee Levy & Lena Song, 2024. "The Economics of Social Media," CESifo Working Paper Series 10934, CESifo.
    11. Julian Runge & Koen Pauwels, 2026. "Open-Source Media and Marketing Mix Modeling: Practice-Oriented Overview, Challenges, Opportunities," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 13(1), pages 1-16, December.
    12. Herhausen, Dennis & Bernritter, Stefan F. & Ngai, Eric W.T. & Kumar, Ajay & Delen, Dursun, 2024. "Machine learning in marketing: Recent progress and future research directions," Journal of Business Research, Elsevier, vol. 170(C).
    13. Harang Ju & Michael Zhao & Sinan Aral, 2025. "Advertising Spillovers in Mobile Apps: Evidence from Ad Shutoffs and Store Rankings," Papers 2504.16151, arXiv.org, revised Jul 2026.
    14. Duhirwe, Patrick Nzivugira & Ngarambe, Jack & Yun, Geun Young, 2024. "Causal effects of policy and occupant behavior on cooling energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 206(C).
    15. Lemmens, Aurélie & Roos, Jason M.T. & Gabel, Sebastian & Ascarza, Eva & Bruno, Hernán A. & Gordon, Brett R. & Israeli, Ayelet & McDonnell Feit, Elea & Mela, Carl F. & Netzer, Oded, 2026. "Personalization and targeting: how to experiment, learn & optimize," International Journal of Research in Marketing, Elsevier, vol. 43(2), pages 537-559.
    16. Ryan Dew & Nicolas Padilla & Anya Shchetkina, 2024. "Your MMM is Broken: Identification of Nonlinear and Time-varying Effects in Marketing Mix Models," Papers 2408.07678, arXiv.org.
    17. Daniel Guhl & Friederike Paetz & Udo Wagner & Michel Wedel, 2024. "Predicting and optimizing marketing performance in dynamic markets," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 46(1), pages 1-27, March.
    18. Berman, Ron & Heller, Yuval, 2025. "Naive analytics: The strategic advantage of algorithmic heuristics," Games and Economic Behavior, Elsevier, vol. 154(C), pages 62-78.
    19. Francis J. DiTraglia & Laura Liu, 2025. "Bayesian Double Machine Learning for Causal Inference," Papers 2508.12688, arXiv.org.
    20. Gordon Burtch & Robert Moakler & Brett R. Gordon & Poppy Zhang & Shawndra Hill, 2025. "Characterizing and Minimizing Divergent Delivery in Meta Advertising Experiments," Papers 2508.21251, arXiv.org.
    21. Weijia Dai & Hyunjin Kim & Michael Luca, 2023. "Frontiers: Which Firms Gain from Digital Advertising? Evidence from a Field Experiment," Marketing Science, INFORMS, vol. 42(3), pages 429-439, May.
    22. Caio Waisman & Brett R. Gordon, 2023. "Multicell experiments for marginal treatment effect estimation of digital ads," Papers 2302.13857, arXiv.org, revised Apr 2025.
    23. Boegershausen, Johannes & Cornil, Yann & Yi, Shangwen & Hardisty, David J., 2025. "On the persistent mischaracterization of Google and Facebook A/B tests: How to conduct and report online platform studies," International Journal of Research in Marketing, Elsevier, vol. 42(3), pages 886-903.
    24. Jonathan Fuhr & Philipp Berens & Dominik Papies, 2024. "Estimating Causal Effects with Double Machine Learning -- A Method Evaluation," Papers 2403.14385, arXiv.org, revised Apr 2024.
    25. Jahani, Eaman & Kolic, Blas & Tonneau, Manuel & Lin, Hause & Barkoczi, Daniel & Fraiberger, Samuel P., 2026. "Celebrity messages reduce online hate and limit its spread," SocArXiv qmvuh_v1, Center for Open Science.
    26. Brett R. Gordon & Robert Moakler & Florian Zettelmeyer, 2023. "Predicted Incrementality by Experimentation (PIE) for Ad Measurement," Papers 2304.06828, arXiv.org, revised Apr 2026.
    27. Guy Aridor & Rafael Jiménez-Durán & Ro'ee Levy & Lena Song, 2024. "Experiments on Social Media," CESifo Working Paper Series 11275, CESifo.
    28. Jonathan Fuhr & Dominik Papies, 2024. "Double Machine Learning meets Panel Data -- Promises, Pitfalls, and Potential Solutions," Papers 2409.01266, arXiv.org.
    29. Korkames, Joseph & Stanley, T.D. & Stremersch, Stefan, 2026. "Meta-analysis of advertising effectiveness: New insights from improved bias corrections," International Journal of Research in Marketing, Elsevier, vol. 43(1), pages 131-151.
    30. David Roodman & Maxim Massenkoff, 2026. "An evidence review of worker retraining," Papers 2609.07011, arXiv.org.

  3. Brett R Gordon & Kinshuk Jerath & Zsolt Katona & Sridhar Narayanan & Jiwoong Shin & Kenneth C Wilbur, 2019. "Inefficiencies in Digital Advertising Markets," Papers 1912.09012, arXiv.org, revised Feb 2020.

    Cited by:

    1. Jesús Andrés Burbano-Gómez & Mónica María Sinisterra-Rodríguez, 2023. "Effects of informative advertising on the formation of market structures," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 50(2), pages 445-486, June.
    2. Suárez, David & García-Mariñoso, Begoña, 2021. "Does ad blocking have an effect on online shopping?," Telecommunications Policy, Elsevier, vol. 45(3).
    3. Reher, Michael & Sokolinski, Stanislav, 2024. "Robo advisors and access to wealth management," Journal of Financial Economics, Elsevier, vol. 155(C).

  4. Ron N. Borkovsky & Paul B. Ellickson & Brett R. Gordon & Victor Aguirregabiria & Gardete Pedro, 2014. "Multiplicity of Equilibria and Information Structures in Empirical Games: Challenges and Prospects," Working Papers tecipa-510, University of Toronto, Department of Economics.

    Cited by:

    1. Sanchez Villalba, Miguel, 2015. "Global inspection games," Journal of Public Economics, Elsevier, vol. 128(C), pages 59-72.
    2. Tobias Salz & Emanuel Vespa, 2020. "Estimating dynamic games of oligopolistic competition: an experimental investigation," RAND Journal of Economics, RAND Corporation, vol. 51(2), pages 447-469, June.
    3. Jos'-Antonio Esp'n-S'nchez & 'lvaro Parra & Yuzhou Wang, 2018. "Equilibrium Uniqueness in Entry Games with Private Information," Cowles Foundation Discussion Papers 2126R, Cowles Foundation for Research in Economics, Yale University, revised May 2021.
    4. Pavel Kireyev, 2016. "Markets for Ideas: Prize Structure, Entry Limits, and the Design of Ideation Contests," Harvard Business School Working Papers 16-129, Harvard Business School.
    5. Victor Aguirregabiria & Jihye Jeon, 2020. "Firms’ Beliefs and Learning: Models, Identification, and Empirical Evidence," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 56(2), pages 203-235, March.
    6. Vélez-Velásquez, Juan Sebastián, 2019. "Merger effects with product complementarity: Evidence from Colombia’s telecommunications," Information Economics and Policy, Elsevier, vol. 49(C).
    7. Aguirregabiria, Victor, 2020. "Identification of Firms' Beliefs in Structural Models of Market Competition," CEPR Discussion Papers 14975, Centre for Economic Policy Research.
    8. William Rand & Roland T. Rust & Min Kim, 2018. "Complex systems: marketing’s new frontier," AMS Review, Springer;Academy of Marketing Science, vol. 8(3), pages 111-127, December.
    9. Yang, Chao & Lee, Lung-fei & Qu, Xi, 2018. "Tobit models with social interactions: Complete vs incomplete information," Regional Science and Urban Economics, Elsevier, vol. 73(C), pages 30-50.

  5. Gordon, Brett R. & Hartmann, Wesley R., 2013. "Advertising Competition in Presidential Elections," Research Papers 2131, Stanford University, Graduate School of Business.

    Cited by:

    1. Liberini, Federica & Redoano, Michela & Russo, Antonio & Cuevas, Angel & Cuevas, Ruben, 2018. "Politics in the Facebook Era Evidence from the 2016 US Presidential Elections," CAGE Online Working Paper Series 389, Competitive Advantage in the Global Economy (CAGE).
    2. Naoki Aizawa & You Suk Kim, 2020. "Public and Private Provision of Information in Market-Based Public Programs: Evidence from Advertising in Health Insurance Marketplaces," NBER Working Papers 27695, National Bureau of Economic Research, Inc.
    3. Michael Sinkinson & Amanda Starc, 2015. "Ask Your Doctor? Direct-to-Consumer Advertising of Pharmaceuticals," NBER Working Papers 21045, National Bureau of Economic Research, Inc.
    4. Micael Castanheira De Moura & Laurent Bouton & Garance Génicot, 2021. "Electoral Systems and Inequalities in Government Interventions," ULB Institutional Repository 2013/324653, ULB -- Universite Libre de Bruxelles.
    5. Cox, Christian, 2022. "Dark Money in Congressional House Elections," Economics Letters, Elsevier, vol. 216(C).
    6. Xing Li & Wesley R. Hartmann & Tomomichi Amano, 2024. "Preference Externality Estimators: A Comparison of Border Approaches and IVs," Management Science, INFORMS, vol. 70(11), pages 7892-7910, November.
    7. Uttara M. Ananthakrishnan & Naveen Basavaraj & Sabari Rajan Karmegam & Ananya Sen & Michael D. Smith, 2025. "Book Bans in American Libraries: Impact of Politics on Inclusive Content Consumption," Marketing Science, INFORMS, vol. 44(4), pages 933-953, July.
    8. Yanwen Wang & Michael Lewis & David A. Schweidel, 2018. "A Border Strategy Analysis of Ad Source and Message Tone in Senatorial Campaigns," Marketing Science, INFORMS, vol. 37(3), pages 333-355, May.
    9. Maria Petrova & Ananya Sen & Pinar Yildirim, 2020. "Social Media and Political Contributions: The Impact of New Technology on Political Competition," Papers 2011.02924, arXiv.org.
    10. Andrey Simonov & Szymon Sacher & Jean-Pierre Dubé & Shirsho Biswas, 2022. "Frontiers: The Persuasive Effect of Fox News: Noncompliance with Social Distancing During the COVID-19 Pandemic," Marketing Science, INFORMS, vol. 41(2), pages 230-242, March.
    11. Liberini, Federica & Redoano, Michela & Russo, Antonio & Cuevas, Angel & Cuevas, Ruben, 2025. "Politics in the facebook era. Evidence from the 2016 US presidential elections," European Journal of Political Economy, Elsevier, vol. 87(C).
    12. Brett R. Gordon & Mitchell J. Lovett & Bowen Luo & James C. Reeder, 2023. "Disentangling the Effects of Ad Tone on Voter Turnout and Candidate Choice in Presidential Elections," Management Science, INFORMS, vol. 69(1), pages 220-243, January.
    13. Qiang Fu & Ganesh Iyer, 2019. "Multimarket Value Creation and Competition," Marketing Science, INFORMS, vol. 38(1), pages 129-149, January.
    14. Mitchell J. Lovett, 2019. "Empirical Research on Political Marketing: a Selected Review," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 6(3), pages 49-56, December.

  6. Gordon, Brett R. & Hartmann, Wesley R., 2011. "Advertising Effects in Presidential Elections," Research Papers 2080, Stanford University, Graduate School of Business.

    Cited by:

    1. Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," NBER Working Papers 23089, National Bureau of Economic Research, Inc.
    2. Doug J. Chung, 2013. "The Dynamic Advertising Effect of Collegiate Athletics," Marketing Science, INFORMS, vol. 32(5), pages 679-698, September.
    3. Michael Sinkinson & Amanda Starc, 2015. "Ask Your Doctor? Direct-to-Consumer Advertising of Pharmaceuticals," NBER Working Papers 21045, National Bureau of Economic Research, Inc.
    4. Waldfogel, Sarah, 2025. "Recovering voice through out-of-district donations," Journal of Public Economics, Elsevier, vol. 248(C).
    5. Kei Kawai & Takeaki Sunada, 2025. "Estimating Candidate Valence," Econometrica, Econometric Society, vol. 93(2), pages 463-501, March.
    6. Yajie Chen & Qinlin Zhong & Fuxiu Jiang, 2020. "The capital market spillover effect of product market advertising: Evidence from stock price synchronicity," Frontiers of Business Research in China, Springer, vol. 14(1), pages 1-21, December.
    7. Wang, Ao, 2021. "A BLP Demand Model of Product-Level Market Shares with Complementarity," The Warwick Economics Research Paper Series (TWERPS) 1351, University of Warwick, Department of Economics.
    8. Kübler, Raoul V. & Manke, Kai & Pauwels, Koen, 2025. "I like, I share, I vote: Mapping the dynamic system of political marketing," Journal of Business Research, Elsevier, vol. 186(C).
    9. Avidit Acharya & Takuo Sugaya & Eray Turkel, 2022. "Electoral Campaigns as Dynamic Contests," "Marco Fanno" Working Papers 0293, Dipartimento di Scienze Economiche "Marco Fanno".
    10. Xing Li & Wesley R. Hartmann & Tomomichi Amano, 2024. "Preference Externality Estimators: A Comparison of Border Approaches and IVs," Management Science, INFORMS, vol. 70(11), pages 7892-7910, November.
    11. Stephan Seiler & Song Yao & Wenbo Wang, 2017. "Does Online Word of Mouth Increase Demand? (And How?) Evidence from a Natural Experiment," Marketing Science, INFORMS, vol. 36(6), pages 838-861, November.
    12. Beth L. Fossen & David A. Schweidel & Michael Lewis, 2019. "Examining Brand Strength of Political Candidates: a Performance Premium Approach," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 6(3), pages 63-75, December.
    13. Uttara M. Ananthakrishnan & Naveen Basavaraj & Sabari Rajan Karmegam & Ananya Sen & Michael D. Smith, 2025. "Book Bans in American Libraries: Impact of Politics on Inclusive Content Consumption," Marketing Science, INFORMS, vol. 44(4), pages 933-953, July.
    14. Yanwen Wang & Michael Lewis & David A. Schweidel, 2018. "A Border Strategy Analysis of Ad Source and Message Tone in Senatorial Campaigns," Marketing Science, INFORMS, vol. 37(3), pages 333-355, May.
    15. Steven Berry & Philip Haile, 2023. "Nonparametric Identification of Differentiated Products Demand Using Micro Data," Cowles Foundation Discussion Papers 2357, Cowles Foundation for Research in Economics, Yale University.
    16. Maria Petrova & Ananya Sen & Pinar Yildirim, 2020. "Social Media and Political Contributions: The Impact of New Technology on Political Competition," Papers 2011.02924, arXiv.org.
    17. Wilson Law, 2021. "Decomposing political advertising effects on vote choices," Public Choice, Springer, vol. 188(3), pages 525-547, September.
    18. Sarah Moshary, 2020. "Price discrimination in political advertising: Evidence from the 2012 presidential election," RAND Journal of Economics, RAND Corporation, vol. 51(3), pages 615-649, September.
    19. Eric Dunaway & Felix Munoz-Garcia, 2020. "Campaign contributions and policy convergence: asymmetric agents and donations constraints," Public Choice, Springer, vol. 184(3), pages 429-461, September.
    20. Ordabayeva, Nailya & Malkoc, Selin A. & Kim, J. Christine & Lisjak, Monika & John, Elicia & Donnelly, Grant & Cavanaugh, Lisa A. & Mittal, Vikas, 2026. "Politics in the middle: A call to study nuanced political differences in a binary world," International Journal of Research in Marketing, Elsevier, vol. 43(2), pages 500-513.
    21. Brett Gordon & Mitchell Lovett & Ron Shachar & Kevin Arceneaux & Sridhar Moorthy & Michael Peress & Akshay Rao & Subrata Sen & David Soberman & Oleg Urminsky, 2012. "Marketing and politics: Models, behavior, and policy implications," Marketing Letters, Springer, vol. 23(2), pages 391-403, June.
    22. Brett R. Gordon & Mitchell J. Lovett & Bowen Luo & James C. Reeder, 2023. "Disentangling the Effects of Ad Tone on Voter Turnout and Candidate Choice in Presidential Elections," Management Science, INFORMS, vol. 69(1), pages 220-243, January.
    23. Brett R. Gordon & Wesley R. Hartmann, 2016. "Advertising competition in presidential elections," Quantitative Marketing and Economics (QME), Springer, vol. 14(1), pages 1-40, March.
    24. Panova, Elena, 2015. "A passion for voting," Games and Economic Behavior, Elsevier, vol. 90(C), pages 44-65.
    25. Tamgid Ahmed Chowdhury & Shahneela Naheed, 2019. "Factors Affecting Political Marketing in Rural and Urban Bangladesh: A Multi-Dimensional Approach," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 18(1), pages 97-119, June.
    26. Naoki Aizawa & You Suk Kim, 2015. "Advertising and Risk Selection in Health Insurance Markets," Finance and Economics Discussion Series 2015-101, Board of Governors of the Federal Reserve System (U.S.).
    27. Pinar Yildirim & Andrei Simonov & Maria Petrova & Ricardo Perez-Truglia, 2020. "Are Political and Charitable Giving Substitutes? Evidence from the United States," NBER Working Papers 26616, National Bureau of Economic Research, Inc.
    28. Li, Xiaolin & Rao, Raghunath Singh & Narasimhan, Om & Gao, Xing, 2022. "Stay positive or go negative? Memory imperfections and messaging strategy," International Journal of Research in Marketing, Elsevier, vol. 39(4), pages 1127-1149.
    29. Beth L. Fossen & Donggwan Kim & David A. Schweidel & Raphael Thomadsen, 2022. "The role of slant and message consistency in political advertising effectiveness: evidence from the 2016 presidential election," Quantitative Marketing and Economics (QME), Springer, vol. 20(1), pages 1-37, March.
    30. Mitchell J. Lovett, 2019. "Empirical Research on Political Marketing: a Selected Review," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 6(3), pages 49-56, December.

  7. Brett Gordon & Ronald Goettler, 2010. "Does AMD spur Intel to innovate more?," 2010 Meeting Papers 151, Society for Economic Dynamics.

    Cited by:

    1. Jeffrey T. Macher & Nathan H. Miller & Matthew Osborne, 2021. "Finding Mr. Schumpeter: technology adoption in the cement industry," RAND Journal of Economics, RAND Corporation, vol. 52(1), pages 78-99, March.
    2. Joerg Baten & Nicola Bianchi & Petra Moser, 2015. "Does Compulsory Licensing Discourage Invention? Evidence From German Patents After WWI," NBER Working Papers 21442, National Bureau of Economic Research, Inc.
    3. Takeshi Fukasawa, 2023. "The Use of Symmetry for Models with Variable-size Variables," Papers 2311.08650, arXiv.org, revised May 2025.
    4. Michael Cohen & Rui Huang, 2012. "Corporate Social Responsibility for Kids’ Sake: A Dynamic Model of Firm Participation," Working Papers 12, University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy.
    5. Aguirregabiria, Victor & Nevo, Aviv, 2010. "Recent developments in empirical IO: dynamic demand and dynamic games," MPRA Paper 27814, University Library of Munich, Germany.
    6. Gautam Gowrisankaran & Marc Rysman, 2012. "Dynamics of Consumer Demand for New Durable Goods," Journal of Political Economy, University of Chicago Press, vol. 120(6), pages 1173-1219.
    7. Friberg, Richard & Romahn, André, 2015. "Divestiture requirements as a tool for competition policy: A case from the Swedish beer market," International Journal of Industrial Organization, Elsevier, vol. 42(C), pages 1-18.
    8. Takeshi Fukasawa, 2024. "Computationally Efficient Methods for Solving Discrete-time Dynamic models with Continuous Actions," Papers 2407.04227, arXiv.org, revised Feb 2025.
    9. Kristina Brecko, 2023. "New Features Free of Charge? Intertemporal Product Versions and Pricing in the Software Market," Marketing Science, INFORMS, vol. 42(1), pages 61-86, January.
    10. Sovinsky, Michelle & Helland, Eric, 2019. "Do Research Joint Ventures Serve a Collusive Function?," CEPR Discussion Papers 13533, Centre for Economic Policy Research.
    11. Unni Pillai, 2013. "A Model of Technological Progress in the Microprocessor Industry," Journal of Industrial Economics, Wiley Blackwell, vol. 61(4), pages 877-912, December.
    12. Stiglitz, Joseph E., 2015. "Leaders and followers: Perspectives on the Nordic model and the economics of innovation," Journal of Public Economics, Elsevier, vol. 127(C), pages 3-16.
    13. Goldin, Ian & Koutroumpis, Pantelis & Lafond, François & Winkler, Julian, 2020. "Why is productivity slowing down?," MPRA Paper 99172, University Library of Munich, Germany.
    14. Ronald Goettler & Brett Gordon, 2014. "Competition and product innovation in dynamic oligopoly," Quantitative Marketing and Economics (QME), Springer, vol. 12(1), pages 1-42, March.
    15. Tobias Salz & Emanuel Vespa, 2020. "Estimating dynamic games of oligopolistic competition: an experimental investigation," RAND Journal of Economics, RAND Corporation, vol. 51(2), pages 447-469, June.
    16. Takeshi Fukasawa & Hiroshi Ohashi, 2025. "Investment Dynamics and Merger Policy: Long-run Effects of Horizontal Merger in Oligopolistic Market," CIRJE F-Series CIRJE-F-1264, CIRJE, Faculty of Economics, University of Tokyo.
    17. Samano, Mario & Santugini, Marc & Zaccour, Georges, 2017. "Dynamics in research joint ventures and R&D collaborations," Journal of Economic Dynamics and Control, Elsevier, vol. 77(C), pages 70-92.
    18. Berezinskaya, Olga (Березинская, Ольга), 2016. "Investment break in the Russian economy: structural characteristics and turnaround perspectives [Инвестиционная Пауза В Экономике России: Структурные Характеристики И Перспективы Ее Преодоления]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 3, pages 30-45, June.
    19. Poege, Felix, 2022. "Competition and Innovation: The Breakup of IG Farben," IZA Discussion Papers 15517, IZA Network @ LISER.
    20. Gorodnichenko, Yuriy & Talavera, Oleksandr & Vu, Nam, 2021. "Quality and price setting of high-tech goods," Economic Modelling, Elsevier, vol. 98(C), pages 69-85.
    21. Hai Che & Tülin Erdem & T. Öncü, 2015. "Consumer learning and evolution of consumer brand preferences," Quantitative Marketing and Economics (QME), Springer, vol. 13(3), pages 173-202, September.
    22. Tedi Skiti, 2020. "Institutional entry barriers and spatial technology diffusion: Evidence from the broadband industry," Strategic Management Journal, Wiley Blackwell, vol. 41(7), pages 1336-1361, July.
    23. Ron Borkovsky & Ulrich Doraszelski & Yaroslav Kryukov, 2012. "A dynamic quality ladder model with entry and exit: Exploring the equilibrium correspondence using the homotopy method," Quantitative Marketing and Economics (QME), Springer, vol. 10(2), pages 197-229, June.
    24. Barton H. Hamilton & Andrés Hincapié & Robert A. Miller & Nicholas W. Papageorge, 2021. "Innovation And Diffusion Of Medical Treatment," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(3), pages 953-1009, August.
    25. Xavier Boutin, 2015. "Mergers and the Dynamics of Innovation," Working Papers ECARES ECARES 2015-15, ULB -- Universite Libre de Bruxelles.
    26. Hollenbeck, Brett, 2018. "Horizontal Mergers and Innovation in Concentrated Industries," MPRA Paper 90764, University Library of Munich, Germany.
    27. Linhui Wang & Zhanglu Cao & Hui Wang & Junsen Zhang & Jun Luo, 2025. "Air pollution, health, migration, and innovation: evidence from urban China," Journal of Population Economics, Springer;European Society for Population Economics, vol. 38(3), pages 1-62, September.
    28. Linli Xu & Jorge M. Silva-Risso & Kenneth C. Wilbur, 2018. "Dynamic Quality Ladder Model Predictions in Nonrandom Holdout Samples," Management Science, INFORMS, vol. 64(7), pages 3187-3207, July.
    29. Zhou, Yiyi, 2012. "Failure to Launch in Two-Sided Markets: A Study of the U.S. Video Game Market," MPRA Paper 42002, University Library of Munich, Germany.
    30. Adam Copeland & Adam Hale Shapiro, 2010. "The Impact of Competition on Technology Adoption: An Apples-to-PCs Analysis," BEA Working Papers 0063, Bureau of Economic Analysis.
    31. Masakazu Ishihara & Andrew T. Ching, 2019. "Dynamic Demand for New and Used Durable Goods Without Physical Depreciation: The Case of Japanese Video Games," Marketing Science, INFORMS, vol. 38(3), pages 392-416, May.
    32. Van Biesebroeck, Johannes & Hashmi, Aamir Rafique, 2012. "The Relationship between Market Structure and Innovation in Industry Equilibrium: A Case Study of the Global Automobile Industry," CEPR Discussion Papers 8783, Centre for Economic Policy Research.
    33. C. Lanier Benkard & Przemyslaw Jeziorski & Gabriel Y. Weintraub, 2013. "Oblivious Equilibrium for Concentrated Industries," NBER Working Papers 19307, National Bureau of Economic Research, Inc.
    34. Ian A. Kash & Peter B. Key & Spyros I. Zoumpoulis, 2023. "Optimal Pricing and Introduction Timing of Technology Upgrades in Subscription-Based Services," Operations Research, INFORMS, vol. 71(2), pages 665-687, March.
    35. Cheng Chou & Tim Derdenger & Vineet Kumar, 2019. "Linear Estimation of Aggregate Dynamic Discrete Demand for Durable Goods: Overcoming the Curse of Dimensionality," Marketing Science, INFORMS, vol. 38(5), pages 888-909, September.
    36. Ariel Pakes, 2014. "The 2013 Lawrence R. Klein Lecture: Behavioral And Descriptive Forms Of Choice Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 55(3), pages 603-624, August.
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Articles

  1. Brett R. Gordon & Robert Moakler & Florian Zettelmeyer, 2023. "Close Enough? A Large-Scale Exploration of Non-Experimental Approaches to Advertising Measurement," Marketing Science, INFORMS, vol. 42(4), pages 768-793, July.
    See citations under working paper version above.
  2. Brett R. Gordon & Mitchell J. Lovett & Bowen Luo & James C. Reeder, 2023. "Disentangling the Effects of Ad Tone on Voter Turnout and Candidate Choice in Presidential Elections," Management Science, INFORMS, vol. 69(1), pages 220-243, January.

    Cited by:

    1. Xing Li & Wesley R. Hartmann & Tomomichi Amano, 2024. "Preference Externality Estimators: A Comparison of Border Approaches and IVs," Management Science, INFORMS, vol. 70(11), pages 7892-7910, November.
    2. Mochon, Daniel & Schwartz, Janet, 2024. "The confrontation effect: When users engage more with ideology-inconsistent content online," Organizational Behavior and Human Decision Processes, Elsevier, vol. 185(C).
    3. Lemmens, Aurélie & Roos, Jason M.T. & Gabel, Sebastian & Ascarza, Eva & Bruno, Hernán A. & Gordon, Brett R. & Israeli, Ayelet & McDonnell Feit, Elea & Mela, Carl F. & Netzer, Oded, 2026. "Personalization and targeting: how to experiment, learn & optimize," International Journal of Research in Marketing, Elsevier, vol. 43(2), pages 537-559.
    4. Ordabayeva, Nailya & Malkoc, Selin A. & Kim, J. Christine & Lisjak, Monika & John, Elicia & Donnelly, Grant & Cavanaugh, Lisa A. & Mittal, Vikas, 2026. "Politics in the middle: A call to study nuanced political differences in a binary world," International Journal of Research in Marketing, Elsevier, vol. 43(2), pages 500-513.

  3. Joonhyuk Yang & Eric T. Anderson & Brett R. Gordon, 2021. "Digitization and Flexibility: Evidence from the South Korean Movie Market," Marketing Science, INFORMS, vol. 40(5), pages 821-843, September.

    Cited by:

    1. Yin, Qiaoyi & Wang, Yunfei & Song, Dian & Lai, Fujun & Collins, Brian & Guo, Hangfei, 2024. "The impact of digitalization on operational risk: An organizational information processing perspective," International Journal of Production Economics, Elsevier, vol. 276(C).

  4. Brett R. Gordon & Florian Zettelmeyer & Neha Bhargava & Dan Chapsky, 2019. "A Comparison of Approaches to Advertising Measurement: Evidence from Big Field Experiments at Facebook," Marketing Science, INFORMS, vol. 38(2), pages 193-225, March.

    Cited by:

    1. Hsing Kenneth Cheng & D. Daniel Sokol & Xinyu Zang, 2024. "The rise of empirical online platform research in the new millennium," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 33(2), pages 416-451, March.
    2. Carlos Fernández-Loría & Foster Provost, 2025. "Observational vs. Experimental Data When Making Automated Decisions Using Machine Learning," INFORMS Joural on Data Science, INFORMS, vol. 4(3), pages 197-229, July.
    3. Wendy Netter Epstein & Christopher T. Robertson & David Yokum & Hansoo Ko & Kevin H. Wilson & Monica Ramos & Katherine Kettering & Margaret Houtz, 2022. "Can moral framing drive insurance enrollment in the United States?," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 19(4), pages 804-843, December.
    4. Rae Yule Kim, 2025. "Price promotion does not always work: online reviews, price-quality heuristics, and risk aversion," Electronic Commerce Research, Springer, vol. 25(6), pages 5075-5104, December.
    5. Tobias Regner, 2021. "Crowdfunding a monthly income: an analysis of the membership platform Patreon," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 45(1), pages 133-142, March.
    6. Junnan He & Bobby Calder, 2020. "The Experimental Evaluation of Brand Strength and Brand Value," Sciences Po Economics Publications (main) hal-03878387, HAL.
    7. Mi Zhou & Vibhanshu Abhishek & Edward H. Kennedy & Kannan Srinivasan & Ritwik Sinha, 2025. "Linking Clicks to Bricks: Understanding the Effects of Email Advertising on Multichannel Sales," Information Systems Research, INFORMS, vol. 36(1), pages 225-238, March.
    8. Sarah Tahamont & Zubin Jelveh & Aaron Chalfin & Shi Yan & Benjamin Hansen, 2019. "Administrative Data Linking and Statistical Power Problems in Randomized Experiments," NBER Working Papers 25657, National Bureau of Economic Research, Inc.
    9. Xinlei (Jack) Chen & Xiaohua Zeng & Cheng Zhang, 2023. "Does Concealing Gender Identity Help Women Win the Competition? An Empirical Investigation into Online Video Games," Marketing Science, INFORMS, vol. 42(3), pages 551-568, May.
    10. Jizhou Liu & Liang Zhong, 2026. "Randomization Tests in Switchback Experiments," Papers 2602.23257, arXiv.org, revised Sep 2026.
    11. Pallavi Pal & Anjana Susarla, 2026. "Algorithm or Creative? Disentangling Algorithmic Divergent Delivery from User Ad Preferences in Digital Platforms," Papers 2605.23706, arXiv.org, revised Aug 2026.
    12. Dante Donati & Lena Song, 2026. "The Influence of the Vocal Few: Evidence from Social Media Comments," Papers 2609.32880, arXiv.org.
    13. Ron Berman & Christophe Van den Bulte, 2022. "False Discovery in A/B Testing," Management Science, INFORMS, vol. 68(9), pages 6762-6782, September.
    14. Francisco Blasques & Paolo Gorgi & Siem Jan Koopman & Noah Stegehuis, 2024. "Mitigating Estimation Risk: a Data-Driven Fusion of Experimental and Observational Data," Tinbergen Institute Discussion Papers 24-066/III, Tinbergen Institute.
    15. Susan Athey & Kristen Grabarz & Michael Luca & Nils C. Wernerfelt, 2022. "Digital Public Health Interventions at Scale: The Impact of Social Media Advertising on Beliefs and Outcomes Related to COVID Vaccines," NBER Working Papers 30273, National Bureau of Economic Research, Inc.
    16. Jian Pei, 2020. "A Survey on Data Pricing: from Economics to Data Science," Papers 2009.04462, arXiv.org, revised Nov 2020.
    17. Sarah Tahamont & Zubin Jelveh & Aaron Chalfin & Shi Yan & Benjamin Hansen, 2021. "Dude, Where’s My Treatment Effect? Errors in Administrative Data Linking and the Destruction of Statistical Power in Randomized Experiments," Journal of Quantitative Criminology, Springer, vol. 37(3), pages 715-749, September.
    18. Arne Henningsen & Guy Low & David Wuepper & Tobias Dalhaus & Hugo Storm & Dagim Belay & Stefan Hirsch, 2026. "Estimating Causal Effects With Observational Data: Guidelines for Agricultural and Applied Economists," Journal of Agricultural Economics, Wiley Blackwell, vol. 77(2), pages 356-382, June.
    19. Manuela Fritz & Michael Grimm & Ingmar Weber & Elad Yom-Tov & Benedictus Praditya, 2022. "Uncover your risk! Using Facebook to increase personal risk awareness and screening of type 2 diabetes in Indonesia," Working Papers 221, Bavarian Graduate Program in Economics (BGPE).
    20. Niklas Heusch, 2026. "A Synthetic Benchmark Dataset with Endogenous Marketing Spend for Validating Marketing Mix Models," Papers 2608.21130, arXiv.org, revised Sep 2026.
    21. Tsung-Yiou Hsieh & Rex Yuxing Du & Shijie Lu, 2026. "Leveraging Large-Scale Granular Single-Source Data for TV Advertising: An Identification Strategy," Marketing Science, INFORMS, vol. 45(3), pages 632-652, May.
    22. Wallach, Karen Anne & Popovich, Deidre, 2023. "When Big Is Less than Small: Why dominant brands lack authenticity in their sustainability initiatives," Journal of Business Research, Elsevier, vol. 158(C).
    23. Niklas Heusch, 2026. "Structural Estimation of Marketing Mix Model Parameters from Geo-Experiments," Papers 2608.21128, arXiv.org, revised Sep 2026.
    24. Raluca Mihaela Ursu & Andrey Simonov & Eunkyung An, 2025. "Online Advertising as Passive Search," Management Science, INFORMS, vol. 71(2), pages 1050-1073, February.
    25. Sridhar Moorthy & Shervin Shahrokhi Tehrani, 2023. "Targeting Advertising Spending and Price on the Hotelling Line," Marketing Science, INFORMS, vol. 42(6), pages 1057-1079, November.
    26. Thi Phuong Lan Nguyen, 2026. "The AIMx framework: integrating marketing mix modeling, attribution, and AI-driven analytics for adaptive decision systems," Future Business Journal, Springer, vol. 12(1), pages 1-23, December.
    27. Ali Goli & Jason Huang & David Reiley & Nickolai M. Riabov, 2025. "Measuring consumer sensitivity to audio advertising: a long-run field experiment on Pandora internet radio," Quantitative Marketing and Economics (QME), Springer, vol. 23(3), pages 347-377, September.
    28. Ron Berman & Yuval Heller, 2020. "Naive analytics equilibrium," Papers 2010.15810, arXiv.org, revised Apr 2021.
    29. Johannes Hermle & Giorgio Martini, 2022. "Valid and Unobtrusive Measurement of Returns to Advertising through Asymmetric Budget Split," Papers 2207.00206, arXiv.org.
    30. Raul Tarazona-Montoya & Carlos Devece & Carlos Llopis-Albert & Sergio García-Agreda, 2024. "Effectiveness of digital marketing and its value in new ventures," International Entrepreneurship and Management Journal, Springer, vol. 20(4), pages 2839-2862, December.
    31. Ali Goli & Jason Huang & David Reiley & Nickolai M. Riabov, 2024. "Measuring Consumer Sensitivity to Audio Advertising: A Long-Run Field Experiment on Pandora Internet Radio," Papers 2412.05516, arXiv.org.
    32. de Grange, Louis & Marechal, Matthieu & Troncoso, Rodrigo & Pezoa, Raúl & González, Felipe, 2026. "An instrument-free approach for estimating multinomial logit models with endogenous variables," Journal of choice modelling, Elsevier, vol. 58(C).
    33. Bashirzadeh, Yashar & Mai, Robert & Faure, Corinne, 2022. "How rich is too rich? Visual design elements in digital marketing communications," International Journal of Research in Marketing, Elsevier, vol. 39(1), pages 58-76.
    34. Dennis J. Zhang & Hengchen Dai & Lingxiu Dong & Qian Wu & Lifan Guo & Xiaofei Liu, 2019. "The Value of Pop-Up Stores on Retailing Platforms: Evidence from a Field Experiment with Alibaba," Management Science, INFORMS, vol. 65(11), pages 5142-5151, November.
    35. Paul B. Ellickson & Wreetabrata Kar & James C. Reeder, 2023. "Estimating Marketing Component Effects: Double Machine Learning from Targeted Digital Promotions," Marketing Science, INFORMS, vol. 42(4), pages 704-728, July.
    36. Tommaso M. Valletti & André Veiga, 2021. "Attention, Recall and Purchase: Experimental Evidence on Online News and Advertising," CESifo Working Paper Series 8991, CESifo.
    37. Cawley, John & Eddelbuettel, Julia & Cunningham, Scott & Eisenberg, Matthew D. & Mathios, Alan D. & Avery, Rosemary J., 2025. "The role of repugnance in markets: How the Jared Fogle scandal affected patronage of subway," Journal of Economic Behavior & Organization, Elsevier, vol. 229(C).
    38. Haupt, Johannes & Jacob, Daniel & Gubela, Robin M. & Lessmann, Stefan, 2019. "Affordable Uplift: Supervised Randomization in Controlled Exprtiments," IRTG 1792 Discussion Papers 2019-026, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    39. Galit Shmueli & David Martens & Jaewon Yoo & Travis Greene, 2025. "From What Ifs to Insights: Counterfactuals in Causal Inference vs. Explainable AI," Papers 2505.13324, arXiv.org.
    40. Garrett Johnson & Julian Runge & Eric Seufert, 2022. "Privacy-Centric Digital Advertising: Implications for Research," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 9(1), pages 49-54, June.
    41. Tobias Konitzer, 2026. "Media Measurement and the Assisted Own Goal: Attribution, Marketing-Mix Models, and Individual-Level Incrementality," Papers 2607.09608, arXiv.org.
    42. Hana Choi & Carl F. Mela & Santiago R. Balseiro & Adam Leary, 2020. "Online Display Advertising Markets: A Literature Review and Future Directions," Information Systems Research, INFORMS, vol. 31(2), pages 556-575, June.
    43. George Gui & Harikesh Nair & Fengshi Niu, 2021. "Auction Throttling and Causal Inference of Online Advertising Effects," Papers 2112.15155, arXiv.org, revised Feb 2022.
    44. Nathan Kallus & Angela Zhou, 2021. "Minimax-Optimal Policy Learning Under Unobserved Confounding," Management Science, INFORMS, vol. 67(5), pages 2870-2890, May.
    45. Brett R. Gordon & Robert Moakler & Florian Zettelmeyer, 2023. "Close Enough? A Large-Scale Exploration of Non-Experimental Approaches to Advertising Measurement," Marketing Science, INFORMS, vol. 42(4), pages 768-793, July.
    46. Matthew McGranaghan & Jura Liaukonyte & Kenneth C. Wilbur, 2022. "How Viewer Tuning, Presence, and Attention Respond to Ad Content and Predict Brand Search Lift," Marketing Science, INFORMS, vol. 41(5), pages 873-895, September.
    47. Yitian (Sky) Liang & Xinlei (Jack) Chen & Shengnan Han & Jinglong Zhang & Yubo Chen, 2025. "Is the Money Spent on Short-Form Video Social Platforms Worth It? The Role of Advertising Spillover in a Large-Scale Randomized Field Experiment on ByteDance," Marketing Science, INFORMS, vol. 44(5), pages 1125-1144, September.
    48. Julian Runge & Koen Pauwels, 2026. "Open-Source Media and Marketing Mix Modeling: Practice-Oriented Overview, Challenges, Opportunities," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 13(1), pages 1-16, December.
    49. Griesoph, Amelie & Hoffmann, Stefan & Merk, Christine & Rehdanz, Katrin & Schmidt, Ulrich, 2021. "Guess What …?—How Guessed Norms Nudge Climate-Friendly Food Choices in Real-Life Settings," Open Access Publications from Kiel Institute for the World Economy 240210, Kiel Institute for the World Economy.
    50. Dante Donati & Lena Song, 2026. "The Influence of the Vocal Few: Evidence from Social Media Comments," CESifo Working Paper Series 13018, CESifo.
    51. Gil Appel & Lauren Grewal & Rhonda Hadi & Andrew T. Stephen, 2020. "The future of social media in marketing," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 79-95, January.
    52. Raffeq S. Alim, 2025. "Marketing Strategy Transformation of Micro-Small and Medium Enterprises in Bangsamoro Autonomous Region in Muslim Mindanao: A Convergent Design," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 12(1), pages 614-631, January.
    53. Banerjee, Shrabastee & Chakraborty, Ishita & Choi, Hana & Datta, Hannes & Daviet, Remi & Farronato, Chiara & Kim, Minkyung & Lambrecht, Anja & Manchanda, Puneet & Öry, Aniko & Sen, Ananya & Van Alstyn, 2026. "Digital platforms 2.0: Emerging topics, opportunities, and challenges," International Journal of Research in Marketing, Elsevier, vol. 43(2), pages 600-618.
    54. Brett R Gordon & Kinshuk Jerath & Zsolt Katona & Sridhar Narayanan & Jiwoong Shin & Kenneth C Wilbur, 2019. "Inefficiencies in Digital Advertising Markets," Papers 1912.09012, arXiv.org, revised Feb 2020.
    55. Joel Persson & Jurrien Bakker & Dennis Bohle & Stefan Feuerriegel & Florian von Wangenheim, 2026. "Detecting and Mitigating Group Bias in Heterogeneous Treatment Effects," Papers 2602.20383, arXiv.org.
    56. William K. Darley & Jeen-Su Lim, 2023. "Advertising creativity and its effects: a meta-analysis of the moderating role of modality," Marketing Letters, Springer, vol. 34(1), pages 99-111, March.
    57. Yashar Bashirzadeh & Robert Mai & Corinne Faure, 2022. "How rich is too rich? Visual design elements in digital marketing communications," Grenoble Ecole de Management (Post-Print) hal-03603041, HAL.
    58. Susan Athey & Kristen Grabarz & Michael Luca & Nils Wernerfelt, 2022. "The Effectiveness of Digital Interventions on COVID-19 Attitudes and Beliefs," Papers 2206.10214, arXiv.org.
    59. Nils Wernerfelt & Anna Tuchman & Bradley T. Shapiro & Robert Moakler, 2025. "Estimating the Value of Offsite Tracking Data to Advertisers: Evidence from Meta," Marketing Science, INFORMS, vol. 44(2), pages 268-286, March.
    60. George Z. Gui, 2020. "Combining Observational and Experimental Data to Improve Efficiency Using Imperfect Instruments," Papers 2010.05117, arXiv.org, revised Dec 2023.
    61. Lemmens, Aurélie & Roos, Jason M.T. & Gabel, Sebastian & Ascarza, Eva & Bruno, Hernán A. & Gordon, Brett R. & Israeli, Ayelet & McDonnell Feit, Elea & Mela, Carl F. & Netzer, Oded, 2026. "Personalization and targeting: how to experiment, learn & optimize," International Journal of Research in Marketing, Elsevier, vol. 43(2), pages 537-559.
    62. Rhys Bernard, David & Bryan, Gharad & Chabé-Ferret, Sylvain & De Quidt, Jonathan & Fliegner, Jasmin & Rathelot, Roland, 2024. "How Much Should We Trust Observational Estimates? Accumulating Evidence Using Randomized Controlled Trials with Imperfect Compliance," TSE Working Papers 24-1498, Toulouse School of Economics (TSE).
    63. Ratchford, Brian & Soysal, Gonca & Zentner, Alejandro & Gauri, Dinesh K., 2022. "Online and offline retailing: What we know and directions for future research," Journal of Retailing, Elsevier, vol. 98(1), pages 152-177.
    64. Min Tian & Paul R. Hoban & Neeraj Arora, 2024. "What Cookie-Based Advertising Effectiveness Fails to Measure," Marketing Science, INFORMS, vol. 43(2), pages 407-418, March.
    65. Christina Uhl & Nadia Abou Nabout & Klaus Miller, 2020. "How Much Ad Viewability is Enough? The Effect of Display Ad Viewability on Advertising Effectiveness," Papers 2008.12132, arXiv.org.
    66. Bleier, Alexander & Fossen, Beth L. & Shapira, Michal, 2024. "On the role of social media platforms in the creator economy," International Journal of Research in Marketing, Elsevier, vol. 41(3), pages 411-426.
    67. E. Mitchell Church, 2024. "The one to watch: Heuristic Determinants of Viewership among Influential Twitch Streamers," Electronic Commerce Research, Springer, vol. 24(3), pages 1795-1820, September.
    68. Thomas W. Frick & Rodrigo Belo & Rahul Telang, 2023. "Incentive Misalignments in Programmatic Advertising: Evidence from a Randomized Field Experiment," Management Science, INFORMS, vol. 69(3), pages 1665-1686, March.
    69. Campbell, Colin & Runge, Julian & Bates, Kenneth & Haefele, Stacey & Jayaraman, Neeraj, 2022. "It’s time to close the experimentation gap in advertising: Confronting myths surrounding ad testing," Business Horizons, Elsevier, vol. 65(4), pages 437-446.
    70. Yashar Bashirzadeh & Robert Mai & Corinne Faure, 2022. "How rich is too rich? Visual design elements in digital marketing communications," Post-Print hal-03603041, HAL.
    71. Daniel Guhl & Friederike Paetz & Udo Wagner & Michel Wedel, 2024. "Predicting and optimizing marketing performance in dynamic markets," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 46(1), pages 1-27, March.
    72. Jingwen Zhang & Yifang Chen & Amandeep Singh, 2022. "Causal Bandits: Online Decision-Making in Endogenous Settings," Papers 2211.08649, arXiv.org, revised Feb 2023.
    73. Carlos Fernández-Loría & Foster Provost, 2022. "Causal Decision Making and Causal Effect Estimation Are Not the Same…and Why It Matters," INFORMS Joural on Data Science, INFORMS, vol. 1(1), pages 4-16, April.
    74. Ron Berman & Elea McDonnell Feit, 2024. "Latent Stratification for Incrementality Experiments," Marketing Science, INFORMS, vol. 43(4), pages 903-917, July.
    75. Berman, Ron & Heller, Yuval, 2025. "Naive analytics: The strategic advantage of algorithmic heuristics," Games and Economic Behavior, Elsevier, vol. 154(C), pages 62-78.
    76. Shahryar Doosti & Stephanie Lee & Yong Tan, 2026. "Social Media Sponsorship: Metrics and Strategies for Finding the Right Content Creator-Sponsor Matches," Management Science, INFORMS, vol. 72(7), pages 6043-6062, July.
    77. Caio Waisman & Brett R. Gordon, 2025. "Multicell Experiments for Marginal Treatment Effect Estimation of Digital Ads," Management Science, INFORMS, vol. 71(9), pages 7970-7989, September.
    78. Gordon Burtch & Robert Moakler & Brett R. Gordon & Poppy Zhang & Shawndra Hill, 2025. "Characterizing and Minimizing Divergent Delivery in Meta Advertising Experiments," Papers 2508.21251, arXiv.org.
    79. Weijia Dai & Hyunjin Kim & Michael Luca, 2023. "Frontiers: Which Firms Gain from Digital Advertising? Evidence from a Field Experiment," Marketing Science, INFORMS, vol. 42(3), pages 429-439, May.
    80. Hervet, Guillaume & Guitart, Ivan A., 2022. "Increasing the effectiveness of display social media ads for startups: The role of different claims and executional characteristics," Journal of Business Research, Elsevier, vol. 153(C), pages 467-478.
    81. Caio Waisman & Brett R. Gordon, 2023. "Multicell experiments for marginal treatment effect estimation of digital ads," Papers 2302.13857, arXiv.org, revised Apr 2025.
    82. George Z. Gui, 2024. "Combining Observational and Experimental Data to Improve Efficiency Using Imperfect Instruments," Marketing Science, INFORMS, vol. 43(2), pages 378-391, March.
    83. Ian N. Weaver & Vineet Kumar & Lalit Jain, 2025. "Nonparametric Pricing Bandits Leveraging Informational Externalities to Learn the Demand Curve," Marketing Science, INFORMS, vol. 44(6), pages 1299-1320, November.
    84. Goic, Marcel & Rojas, Andrea & Saavedra, Ignacio, 2021. "The Effectiveness of Triggered Email Marketing in Addressing Browse Abandonments," Journal of Interactive Marketing, Elsevier, vol. 55(C), pages 118-145.
    85. Caio Waisman & Navdeep S. Sahni & Harikesh S. Nair & Xiliang Lin, 2019. "Parallel Experimentation and Competitive Interference on Online Advertising Platforms," Papers 1903.11198, arXiv.org, revised Feb 2024.
    86. Shilei Luo & Song Yao & Dennis J. Zhang, 2026. "Unintended Consequences of Recommender System Interventions: Evidence from a Field Experiment," Papers 2606.08265, arXiv.org.
    87. Brett R. Gordon & Robert Moakler & Florian Zettelmeyer, 2023. "Predicted Incrementality by Experimentation (PIE) for Ad Measurement," Papers 2304.06828, arXiv.org, revised Apr 2026.
    88. Michael Thomas & Marcel Goic & Kirthi Kalyanam, 2025. "Long Lags and Large Returns: Experimental Evidence from Advertising to Businesses," Management Science, INFORMS, vol. 71(10), pages 8750-8766, October.
    89. Jeremy Yang & Dean Eckles & Paramveer Dhillon & Sinan Aral, 2024. "Targeting for Long-Term Outcomes," Management Science, INFORMS, vol. 70(6), pages 3841-3855, June.
    90. Korkames, Joseph & Stanley, T.D. & Stremersch, Stefan, 2026. "Meta-analysis of advertising effectiveness: New insights from improved bias corrections," International Journal of Research in Marketing, Elsevier, vol. 43(1), pages 131-151.

  5. Yang Li & Brett R. Gordon & Oded Netzer, 2018. "An Empirical Study of National vs. Local Pricing by Chain Stores Under Competition," Marketing Science, INFORMS, vol. 37(5), pages 812-837, September.

    Cited by:

    1. Zhang, Kun & Dai, Yue & Cai, Gangshu (George), 2025. "Unifying or discriminating: Competitive pricing strategies for multi-channel retailers," Journal of Retailing, Elsevier, vol. 101(3), pages 454-472.
    2. Wayne Taylor & Brett Hollenbeck, 2021. "Leveraging loyalty programs using competitor based targeting," Quantitative Marketing and Economics (QME), Springer, vol. 19(3), pages 417-455, December.
    3. Alexander Chaudhry & P. B. Seetharaman, 2025. "Geodemographic drivers of store-level demand and marketing mix sensitivities," Journal of Marketing Analytics, Palgrave Macmillan, vol. 13(3), pages 936-955, September.
    4. Dan Wu & Guofang Nan & Dahui Li & Minqiang Li, 2025. "The coopetition between an online retailer and its franchise offline store: the effect of loyal consumers," Information Technology and Management, Springer, vol. 26(1), pages 1-17, March.
    5. Kopalle, Praveen K. & Pauwels, Koen & Akella, Laxminarayana Yashaswy & Gangwar, Manish, 2023. "Dynamic pricing: Definition, implications for managers, and future research directions," Journal of Retailing, Elsevier, vol. 99(4), pages 580-593.
    6. Tommy Staahl Gabrielsen & Bjørn Olav Johansen & Odd Rune Straume, 2023. "National pricing with local quality competition," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 32(1), pages 48-74, January.
    7. Bryan Bollinger & Steven E. Sexton, 2023. "Local excise taxes, sticky prices, and spillovers: evidence from Berkeley’s soda tax," Quantitative Marketing and Economics (QME), Springer, vol. 21(2), pages 281-331, June.
    8. Yanghao Wang & Metin Çakır & Timothy A. Park, 2025. "The role of geographic market definition in analysis of grocery retailing," American Journal of Agricultural Economics, John Wiley & Sons, vol. 107(1), pages 208-230, January.
    9. Beck, Guenter W. & Kotz, Hans-Helmut & Zabelina, Natalia, 2020. "Price gaps at the border: Evidence from multi-country household scanner data," Journal of International Economics, Elsevier, vol. 127(C).
    10. Kiczmachowska Ewa E. & de Pourbaix Paweł & Jemielniak Dariusz, 2023. "Price Differentiation in Online and Offline Retail: An Empirical Study of Current Practices," Marketing of Scientific and Research Organizations, Paradigm, vol. 48(2), pages 1-16, June.
    11. Anastasia Antsygina & Ekaterina Kazakova & Alexander Tarasov, 2024. "Flexible or Uniform? Optimal Pricing Strategies of Chains," CESifo Working Paper Series 11576, CESifo.
    12. Homburg, Christian & Lauer, Karin & Vomberg, Arnd, 2019. "The multichannel pricing dilemma: Do consumers accept higher offline than online prices?," International Journal of Research in Marketing, Elsevier, vol. 36(4), pages 597-612.
    13. Diego Aparicio & Zachary Metzman & Roberto Rigobon, 2024. "The pricing strategies of online grocery retailers," Quantitative Marketing and Economics (QME), Springer, vol. 22(1), pages 1-21, March.

  6. Brett R. Gordon & Wesley R. Hartmann, 2016. "Advertising competition in presidential elections," Quantitative Marketing and Economics (QME), Springer, vol. 14(1), pages 1-40, March.
    See citations under working paper version above.
  7. Brett R. Gordon & Baohong Sun, 2015. "A Dynamic Model of Rational Addiction: Evaluating Cigarette Taxes," Marketing Science, INFORMS, vol. 34(3), pages 452-470, May.

    Cited by:

    1. Michelle Sovinsky & Liana Jacobi & Alessandra Allocca & Tao Sun, 2023. "More than Joints: Multi-Substance Use, Choice Limitations, and Policy Implications," Rationality and Competition Discussion Paper Series 487, CRC TRR 190 Rationality and Competition.
    2. Jaap H. Abbring & {O}ystein Daljord & Fedor Iskhakov, 2025. "Identifying Present-Biased Discount Functions in Dynamic Discrete Choice Models," Papers 2507.07286, arXiv.org.
    3. Seong, Wooje & Choi, Hyunhong & Koo, Yoonmo, 2026. "Semi-dynamics of electric vehicle adoption based on strategic consumer choices: Preference statement-guided forward-looking behavior based on individual expectations," Journal of choice modelling, Elsevier, vol. 58(C).
    4. Chen, Jiawei & Reinhardt, Colin, 2025. "Flavorants and addiction: An empirical analysis of cigarette bans and taxation," International Journal of Industrial Organization, Elsevier, vol. 99(C).
    5. Jaap H. Abbring & Øystein Daljord, 2020. "A Comment On “Estimating Dynamic Discrete Choice Models With Hyperbolic Discounting” By Hanming Fang And Yang Wang," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(2), pages 565-571, May.
    6. Jialie Chen & Vithala R. Rao, 2020. "A Dynamic Model of Rational Addiction with Stockpiling and Learning: An Empirical Examination of E-cigarettes," Management Science, INFORMS, vol. 66(12), pages 5886-5905, December.
    7. Minjung Kwon & Tülin Erdem & Masakazu Ishihara, 2023. "Counter-cyclical price promotion: Capturing seasonal changes in stockpiling and endogenous consumption," Quantitative Marketing and Economics (QME), Springer, vol. 21(4), pages 437-492, December.
    8. Chen, Xuan, "undated". "The Rational Addiction, Health Information and Dynamic Demand of Energy Drinks," 2018 Annual Meeting, August 5-7, Washington, D.C. 273979, Agricultural and Applied Economics Association.
    9. Michelle Sovinsky & Liana Jacobi & Alessandra Allocca & Tao Sun, 2024. "More than Joints: Multi-Substance Use, Choice Limitations, and Policy Implications," CRC TR 224 Discussion Paper Series crctr224_2024_501, University of Bonn and University of Mannheim, Germany.
    10. Avery Haviv & Yufeng Huang & Nan Li, 2020. "Intertemporal Demand Spillover Effects on Video Game Platforms," Management Science, INFORMS, vol. 66(10), pages 4788-4807, October.
    11. Bryan Bollinger & Steven E. Sexton, 2023. "Local excise taxes, sticky prices, and spillovers: evidence from Berkeley’s soda tax," Quantitative Marketing and Economics (QME), Springer, vol. 21(2), pages 281-331, June.
    12. Hwang Kim, 2024. "An empirical analysis of navigation behaviors across stock and cryptocurrency trading platforms: implications for targeting and segmentation strategies," Electronic Commerce Research, Springer, vol. 24(3), pages 2113-2141, September.
    13. Jong Yeob Kim & Masakazu Ishihara, 2026. "Evaluating the Effect of Soda Taxes Using a Dynamic Model of Rational Addiction," Management Science, INFORMS, vol. 72(4), pages 3040-3060, April.
    14. Yanwen Wang & Michael Lewis & Vishal Singh, 2016. "The Unintended Consequences of Countermarketing Strategies: How Particular Antismoking Measures May Shift Consumers to More Dangerous Cigarettes," Marketing Science, INFORMS, vol. 35(1), pages 55-72, January.
    15. Jung Youn Lee & Joonhyuk Yang & Eric T. Anderson, 2025. "Using Grocery Data for Credit Decisions," Management Science, INFORMS, vol. 71(4), pages 2753-2777, April.
    16. Lukovszki, Lívia & Gorjanecz, György, 2025. "Két ország, két út: Minimálbérrel élők adóterhei és jó(l)léte Írországban és Magyarországon [Two countries, two paths. Tax burdens and well-being of minimum wage earners in Ireland and Hungary]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(5), pages 488-515.
    17. Ali Goli & Simha Mummalaneni & Pradeep K. Chintagunta, 2024. "Making a Smooth Exit? Menthol Bans and Cigarette Sales in Massachusetts," Marketing Science, INFORMS, vol. 43(3), pages 564-589, May.
    18. Hae Kang Lee, 2024. "The financial benefits of health engagement programs to life insurers," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-38, December.
    19. Øyvind Thomassen & Howard Smith & Stephan Seiler & Pasquale Schiraldi, 2017. "Multi-category Competition and Market Power: A Model of Supermarket Pricing," American Economic Review, American Economic Association, vol. 107(8), pages 2308-2351, August.
    20. Hyeokkoo Eric Kwon & Hyunji So & Sang Pil Han & Wonseok Oh, 2016. "Excessive Dependence on Mobile Social Apps: A Rational Addiction Perspective," Information Systems Research, INFORMS, vol. 27(4), pages 919-939, December.
    21. Hollenbeck, Brett & Uetake, Kosuke, 2018. "Taxation and Market Power in the Legal Marijuana Industry," MPRA Paper 90085, University Library of Munich, Germany.
    22. Skokov, R. Yu. & Brizhak, O. V., 2020. "Consumption of addictive goods in Russian regions and its impact on the quality of human capital," R-Economy, Ural Federal University, Graduate School of Economics and Management, vol. 6(1), pages 50-60.
    23. Michael A. Catalano & Donna B. Gilleskie, 2021. "Impacts of local public smoking bans on smoking behaviors and tobacco smoke exposure," Health Economics, John Wiley & Sons, Ltd., vol. 30(8), pages 1719-1744, August.
    24. Ahmed Khwaja & Sonal Srivastava, 2026. "Reinforcement Learning Based Computationally Efficient Conditional Choice Simulation Estimation of Dynamic Discrete Choice Models," Papers 2601.02069, arXiv.org.
    25. Shuo Zhang & Tat Y. Chan & Xueming Luo & Xiaoyi Wang, 2022. "Time-Inconsistent Preferences and Strategic Self-Control in Digital Content Consumption," Marketing Science, INFORMS, vol. 41(3), pages 616-636, May.
    26. Guy Aridor, 2022. "Measuring Substitution Patterns in the Attention Economy: An Experimental Approach," CESifo Working Paper Series 10190, CESifo.
    27. Avery Haviv, 2022. "Consumer Search, Price Promotions, and Counter-Cyclic Pricing," Marketing Science, INFORMS, vol. 41(2), pages 294-314, March.

  8. Ron Borkovsky & Paul Ellickson & Brett Gordon & Victor Aguirregabiria & Pedro Gardete & Paul Grieco & Todd Gureckis & Teck-Hua Ho & Laurent Mathevet & Andrew Sweeting, 2015. "Multiplicity of equilibria and information structures in empirical games: challenges and prospects," Marketing Letters, Springer, vol. 26(2), pages 115-125, June.
    See citations under working paper version above.
  9. Ronald Goettler & Brett Gordon, 2014. "Competition and product innovation in dynamic oligopoly," Quantitative Marketing and Economics (QME), Springer, vol. 12(1), pages 1-42, March.

    Cited by:

    1. Michael Cohen & Rui Huang, 2012. "Corporate Social Responsibility for Kids’ Sake: A Dynamic Model of Firm Participation," Working Papers 12, University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy.
    2. Ahmed, Rafayal & Shopp, Colin, 2022. "How Does Competition Affect Incentives for Market Research?," MPRA Paper 118311, University Library of Munich, Germany.
    3. Stiglitz, Joseph E., 2015. "Leaders and followers: Perspectives on the Nordic model and the economics of innovation," Journal of Public Economics, Elsevier, vol. 127(C), pages 3-16.
    4. Dhanora, Madan & Sharma, Ruchi & Khachoo, Qayoom, 2018. "Non-linear impact of product and process innovations on market power: A theoretical and empirical investigation," Economic Modelling, Elsevier, vol. 70(C), pages 67-77.
    5. Goldin, Ian & Koutroumpis, Pantelis & Lafond, François & Winkler, Julian, 2020. "Why is productivity slowing down?," MPRA Paper 99172, University Library of Munich, Germany.
    6. Ghosh, Arghya & Kato, Takao & Morita, Hodaka, 2017. "Incremental innovation and competitive pressure in the presence of discrete innovation," Journal of Economic Behavior & Organization, Elsevier, vol. 135(C), pages 1-14.
    7. Ben Dkhil, Inès, 2014. "Regulation and Investment in Telecom Network Infrastructure Facilities: The Recent Developments and Debates," MPRA Paper 72910, University Library of Munich, Germany, revised 02 Feb 2015.
    8. Hollenbeck, Brett, 2018. "Horizontal Mergers and Innovation in Concentrated Industries," MPRA Paper 90764, University Library of Munich, Germany.
    9. Linli Xu & Jorge M. Silva-Risso & Kenneth C. Wilbur, 2018. "Dynamic Quality Ladder Model Predictions in Nonrandom Holdout Samples," Management Science, INFORMS, vol. 64(7), pages 3187-3207, July.
    10. Puneet Prakash Kaur & Ravi Kiran, 2024. "Examining the Role of Market Concentration in Enhancing Total Factor Productivity: A Comparative Analysis of Selected Agri-based and Hi-Technology Sectors," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 2525-2548, March.
    11. Rosita Capurro & Raffaele Fiorentino & Rubina Michela Galeotti & Stefano Garzella, 2023. "The Impact of Digitalization and Sustainability on Governance Structures and Corporate Communication: A Cross-Industry and Cross-Country Approach," Sustainability, MDPI, vol. 15(3), pages 1-27, January.
    12. Rosita Capurro & Raffaele Fiorentino & Stefano Garzella & Stefano Marciano, 2024. "Metaverse: Value creation and performance measurement across physical and digital world," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2024(1), pages 131-154.
    13. Samano, Mario & Santugini, Marc, 2020. "Long-run market configurations in a dynamic quality-ladder model with externalities," Journal of Economic Dynamics and Control, Elsevier, vol. 117(C).
    14. Ron N. Borkovsky & Avi Goldfarb & Avery M. Haviv & Sridhar Moorthy, 2017. "Measuring and Understanding Brand Value in a Dynamic Model of Brand Management," Marketing Science, INFORMS, vol. 36(4), pages 471-499, July.
    15. Xin (Shane) Wang & Yuying Xie & Harsharanjeet S. Jagpal & Sengun Yeniyurt, 2016. "Coordinating R&D, Product Positioning, and Pricing Strategy: A Duopoly Model," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 3(2), pages 104-114, June.
    16. Debadutta K. Panda, 2019. "Competitive dynamics in not-for-profit organizations: evidence from India," Asia Pacific Journal of Management, Springer, vol. 36(4), pages 1251-1274, December.
    17. Jérémie Haese & Christian Peukert, 2026. "Open at the Core: Moving from Proprietary Technology to Building a Product on Open Source Software," Management Science, INFORMS, vol. 72(5), pages 4173-4199, May.
    18. Ahmed Khwaja & Sonal Srivastava, 2026. "Reinforcement Learning Based Computationally Efficient Conditional Choice Simulation Estimation of Dynamic Discrete Choice Models," Papers 2601.02069, arXiv.org.
    19. Parneet Kaur & Guntas Punia Nakai & Navneet Kaur, 2022. "Spatial Spillover of Product Innovation in the Manufacturing Sector: Evidence from India," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(1), pages 447-473, March.
    20. Ron N. Borkovsky, 2017. "The timing of version releases: A dynamic duopoly model," Quantitative Marketing and Economics (QME), Springer, vol. 15(3), pages 187-239, September.
    21. Ambarish Chandra & Matthew Weinberg, 2018. "How Does Advertising Depend on Competition? Evidence from U.S. Brewing," Management Science, INFORMS, vol. 64(11), pages 5132-5148, November.

  10. Brett R. Gordon & Wesley R. Hartmann, 2013. "Advertising Effects in Presidential Elections," Marketing Science, INFORMS, vol. 32(1), pages 19-35, June.
    See citations under working paper version above.
  11. Brett Gordon & Mitchell Lovett & Ron Shachar & Kevin Arceneaux & Sridhar Moorthy & Michael Peress & Akshay Rao & Subrata Sen & David Soberman & Oleg Urminsky, 2012. "Marketing and politics: Models, behavior, and policy implications," Marketing Letters, Springer, vol. 23(2), pages 391-403, June.

    Cited by:

    1. Thanh Le & Ilke Onur & Rubayat Sarwar & Erkan Yalcin, 2024. "Money in Politics: How Does It Affect Election Outcomes?," SAGE Open, , vol. 14(4), pages 21582440241, October.
    2. Gordon, Brett R. & Hartmann, Wesley R., 2011. "Advertising Effects in Presidential Elections," Research Papers 2080, Stanford University, Graduate School of Business.
    3. Kübler, Raoul V. & Manke, Kai & Pauwels, Koen, 2025. "I like, I share, I vote: Mapping the dynamic system of political marketing," Journal of Business Research, Elsevier, vol. 186(C).
    4. Avidit Acharya & Takuo Sugaya & Eray Turkel, 2022. "Electoral Campaigns as Dynamic Contests," "Marco Fanno" Working Papers 0293, Dipartimento di Scienze Economiche "Marco Fanno".
    5. Yanwen Wang & Michael Lewis & David A. Schweidel, 2018. "A Border Strategy Analysis of Ad Source and Message Tone in Senatorial Campaigns," Marketing Science, INFORMS, vol. 37(3), pages 333-355, May.
    6. Maria Petrova & Ananya Sen & Pinar Yildirim, 2020. "Social Media and Political Contributions: The Impact of New Technology on Political Competition," Papers 2011.02924, arXiv.org.
    7. Brett R. Gordon & Wesley R. Hartmann, 2016. "Advertising competition in presidential elections," Quantitative Marketing and Economics (QME), Springer, vol. 14(1), pages 1-40, March.
    8. Li, Xiaolin & Rao, Raghunath Singh & Narasimhan, Om & Gao, Xing, 2022. "Stay positive or go negative? Memory imperfections and messaging strategy," International Journal of Research in Marketing, Elsevier, vol. 39(4), pages 1127-1149.
    9. Li, Xiaolin & Singh Rao, Raghunath & Narasimhan, Om & Gao, Xing, 2022. "Stay positive or go negative? Memory imperfections and messaging strategy," LSE Research Online Documents on Economics 113556, London School of Economics and Political Science, LSE Library.

  12. Ronald L. Goettler & Brett R. Gordon, 2011. "Does AMD Spur Intel to Innovate More?," Journal of Political Economy, University of Chicago Press, vol. 119(6), pages 1141-1200.
    See citations under working paper version above.
  13. Vineet Kumar & Brett R. Gordon & Kannan Srinivasan, 2011. "Competitive Strategy for Open Source Software," Marketing Science, INFORMS, vol. 30(6), pages 1066-1078, November.

    Cited by:

    1. Éric Darmon & Dominique Torre, 2014. "Open Source, Dual Licensing and Software Competition," Economics Working Paper Archive (University of Rennes & University of Caen) 201405, Center for Research in Economics and Management (CREM), University of Rennes, University of Caen and CNRS.
    2. Vasundhara Sharma & Ashish Agarwal & Anitesh Barua, 2025. "Demand-Side Effects of Open Innovation: The Case of Cryptocurrency Forking," Management Science, INFORMS, vol. 71(8), pages 7136-7160, August.
    3. Sheen S. Levine & Michael J. Prietula, 2014. "Open Collaboration for Innovation: Principles and Performance," Organization Science, INFORMS, vol. 25(5), pages 1414-1433, October.
    4. Shivendu P. Singh & Narayan Ramasubbu & Chris F. Kemerer & M. Zia Hydari, 2026. "Profitability of Open-Source Software Product Development," Papers 2608.02398, arXiv.org.
    5. Yan Huang & Param Vir Singh & Kannan Srinivasan, 2014. "Crowdsourcing New Product Ideas Under Consumer Learning," Management Science, INFORMS, vol. 60(9), pages 2138-2159, September.
    6. Vitali Mindel & Aleksi Aaltonen & Arun Rai & Lars Mathiassen & Wael Jabr, 2025. "Timely Quality Problem Resolution in Peer-Production Systems: The Impact of Bots, Policy Citations, and Contributor Experience," Information Systems Research, INFORMS, vol. 36(2), pages 1242-1258, June.
    7. Carmelo Cennamo & Juan Santaló, 2019. "Generativity Tension and Value Creation in Platform Ecosystems," Organization Science, INFORMS, vol. 30(3), pages 617-641, May.
    8. Xing Gao, 2020. "Open Source or Closed Source? A Competitive Analysis with Software Security," Decision Analysis, INFORMS, vol. 17(1), pages 56-73, March.
    9. Terrence August & Hyoduk Shin & Tunay I. Tunca, 2018. "Generating Value Through Open Source: Software Service Market Regulation and Licensing Policy," Information Systems Research, INFORMS, vol. 29(1), pages 186-205, March.

  14. Dennis Epple & Brett Gordon & Holger Sieg, 2010. "Drs. Muth And Mills Meet Dr. Tiebout: Integrating Location‐Specific Amenities Into Multi‐Community Equilibrium Models," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 381-400, February.

    Cited by:

    1. Yannis M. Ioannides & Giorgio Topa, 2009. "Neighborhood Effects: Accomplishments and Looking Beyond Them," Discussion Papers Series, Department of Economics, Tufts University 0736, Department of Economics, Tufts University.
    2. Eric Hanushek & Kuzey Yilmaz, 2010. "Household Location and Schools in Metropolitan Areas with Heterogeneous Suburbs: Tiebout, Alonso, and Government Policy," Discussion Papers 09-012, Stanford Institute for Economic Policy Research.
    3. Marius Brülhart & Sam Bucovetsky & Kurt Schmidheiny, 2014. "Taxes in Cities," Cahiers de Recherches Economiques du Département d'économie 14.04, Université de Lausanne, Faculté des HEC, Département d’économie.
    4. Gaigtné, Carl & Koster, Hans & Moizeau, Fabien & Thisse, Jacques-François, 2017. "Who Lives Where in the City? Amenities, Commuting and Income Sorting," CEPR Discussion Papers 11958, Centre for Economic Policy Research.
    5. Bigelow, Daniel P. & Plantinga, Andrew J., 2017. "Town mouse and country mouse: Effects of urban growth controls on equilibrium sorting and land prices," Regional Science and Urban Economics, Elsevier, vol. 65(C), pages 104-115.
    6. Christopher Higgins & Pavlos Kanaroglou, 2018. "Rapid transit, transit-oriented development, and the contextual sensitivity of land value uplift in Toronto," Urban Studies, Urban Studies Journal Limited, vol. 55(10), pages 2197-2225, August.
    7. Magliocca, Nicholas & McConnell, Virginia & Walls, Margaret, 2015. "Exploring sprawl: Results from an economic agent-based model of land and housing markets," Ecological Economics, Elsevier, vol. 113(C), pages 114-125.
    8. Austin Feng & Francesco Ruggieri, 2025. "Structural Extrapolation in Regression Discontinuity Designs with an Application to School Expenditure Referenda," Papers 2508.02658, arXiv.org.
    9. Holmes, Thomas J. & Sieg, Holger, 2015. "Structural Estimation in Urban Economics," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 69-114, Elsevier.
    10. Carl Gaigne & Hans R.A. Koster & Fabien Moizeau & Jacques-Francois Thisse, 2017. "Amenities and the Social Structure of Cities," HSE Working papers WP BRP 162/EC/2017, National Research University Higher School of Economics.
    11. Dennis Epple & Michael Peress & Holger Sieg, 2010. "Identification and Semiparametric Estimation of Equilibrium Models of Local Jurisdictions," American Economic Journal: Microeconomics, American Economic Association, vol. 2(4), pages 195-220, November.
    12. Trond Husby & Henri L. F. de Groot & Marjan W. Hofkes & Tatiana Filatova, 2018. "Flood protection and endogenous sorting of households: the role of credit constraints," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 23(2), pages 147-168, February.
    13. Barbieri, Stefano & Edwards, John H.Y., 2017. "Middle-class flight from post-Katrina New Orleans: A theoretical analysis of inequality and schooling," Regional Science and Urban Economics, Elsevier, vol. 64(C), pages 12-29.
    14. Bieri, David S. & Kuminoff, Nicolai V. & Pope, Jaren C., 2023. "National expenditures on local amenities," Journal of Environmental Economics and Management, Elsevier, vol. 117(C).
    15. Pan, Chen-Yu, 2020. "Protections from natural disasters as local public goods: Migration and local adaptations," Regional Science and Urban Economics, Elsevier, vol. 85(C).
    16. Duranton, Gilles & Puga, Diego, 2015. "Urban Land Use," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 467-560, Elsevier.
    17. Eric A. Hanushek & Kuzey Yilmaz, 2015. "Land-use Controls, Fiscal Zoning, and the Local Provision of Education," Public Finance Review, , vol. 43(5), pages 559-585, September.
    18. Elena G. Irwin, 2010. "New Directions For Urban Economic Models Of Land Use Change: Incorporating Spatial Dynamics And Heterogeneity," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 65-91, February.
    19. Tivadar, Mihai & Jayet, Hubert, 2019. "Endogenous generation of amenities and the dynamics of city structure," Regional Science and Urban Economics, Elsevier, vol. 74(C), pages 49-56.

  15. Dennis Epple & Brett Gordon & Holger Sieg, 2010. "A New Approach to Estimating the Production Function for Housing," American Economic Review, American Economic Association, vol. 100(3), pages 905-924, June.

    Cited by:

    1. Gregory Casey & Ryo Horii, 2023. "A Generalized Uzawa Growth Theorem," ISER Discussion Paper 1215, Institute of Social and Economic Research, The University of Osaka.
    2. Rainald Borck & Jun Oshiro & Yasuhiro Sato, 2022. "Property tax competition: A quantitative assessment," CEPA Discussion Papers 52, Center for Economic Policy Analysis.
    3. Odran Bonnet & Guillaume Flamerie de La Chapelle & Alain Trannoy & Etienne Wasmer, 2019. "Secular Trends in Wealth and Heterogeneous Capital: Land is Back... and Should Be Taxed," Sciences Po Economics Discussion Papers hal-03570837, HAL.
    4. Loumeau, Gabriel, 2023. "Locating Public Facilities: Theory and Micro Evidence from Paris," Journal of Urban Economics, Elsevier, vol. 135(C).
    5. Wadjidou Boukari & Fenjie Long, 2023. "Reducing urban sprawl by optimizing housing production," Growth and Change, Wiley Blackwell, vol. 54(2), pages 529-549, June.
    6. Gluszak, Michal & Zygmunt, Robert, 2018. "Development density, administrative decisions, and land values: An empirical investigation," Land Use Policy, Elsevier, vol. 70(C), pages 153-161.
    7. Miyauchi, Yuhei & Nakajima, Kentaro & Redding, Stephen, 2021. "The Economics of Spatial Mobility: Evidence from Smartphone Data," CEPR Discussion Papers 15839, Centre for Economic Policy Research.
    8. Pierre-Philippe Combes & Gilles Duranton & Laurent Gobillon, 2021. "The Production Function for Housing: Evidence from France," Post-Print halshs-03342578, HAL.
    9. Tomohiro Hirano & Alexis Akira Toda, 2026. "Land, G versus R, and Infinite Debt Rollover," CIGS Working Paper Series 26-002E, The Canon Institute for Global Studies.
    10. Yusuke Adachi, 2025. "Estimating the housing production function with unobserved land heterogeneity," Papers 2504.20429, arXiv.org, revised May 2026.
    11. Zhang, Hongsong, 2019. "Non-neutral technology, firm heterogeneity, and labor demand," Journal of Development Economics, Elsevier, vol. 140(C), pages 145-168.
    12. Chen, Ziyang & Chen, Ting & Lin, Yatang & Wang, Jin, 2025. "Building tall, falling short: An empirical assessment of Chinese skyscrapers," Journal of Urban Economics, Elsevier, vol. 145(C).
    13. Graeme Guthrie, 2023. "Land Hoarding and Urban Development," The Journal of Real Estate Finance and Economics, Springer, vol. 67(4), pages 753-793, November.
    14. Ding Ding & Weicheng Lian, 2018. "The Long-Run Trend of Residential Investment in China," IMF Working Papers 2018/261, International Monetary Fund.
    15. Toda, Alexis Akira, 2025. "Land bubbles despite non-vanishing rents," Economics Letters, Elsevier, vol. 257(C).
    16. Fare, Rolf & Grosskopf, Shawna & Shang, Chenjun & Sickles, Robin, 2015. "Pricing Characteristics: An Application of Shepard's Dual Lemma," Working Papers 15-013, Rice University, Department of Economics.
    17. Kenneth G. Stewart, 2022. "How important are land values in house price growth? Evidence from Canadian cities," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(1), pages 249-271, February.
    18. Yuhei Miyauchi & Kentaro Nakajima & Stephen J. Redding, 2021. "Consumption access and agglomeration: evidence from smartphone data," CEP Discussion Papers dp1745, Centre for Economic Performance, LSE.
    19. Gabriel Ahlfeldt & Jason Barr, 2020. "The Economics of Skyscrapers: A Synthesis," CESifo Working Paper Series 8427, CESifo.
    20. Christopher Severen, 2018. "Commuting, Labor, and Housing Market Effects of Mass Transportation: Welfare and Identification," Working Papers 18-14, Federal Reserve Bank of Philadelphia.
    21. Gabriel M. Ahlfeldt & Stephen J. Redding & Daniel M. Sturm & Nikolaus Wolf, 2014. "The Economics of Density: Evidence from the Berlin Wall," NBER Working Papers 20354, National Bureau of Economic Research, Inc.
    22. Nicolai V. Kuminoff & V. Kerry Smith & Christopher Timmins, 2013. "The New Economics of Equilibrium Sorting and Policy Evaluation Using Housing Markets," Journal of Economic Literature, American Economic Association, vol. 51(4), pages 1007-1062, December.
    23. Or Levkovich & Jan Rouwendal, 2016. "Spatial Planning and Segmentation of the Land Market," Tinbergen Institute Discussion Papers 16-018/VIII, Tinbergen Institute.
    24. Cheng Maolin & Jiang Zedi, 2016. "A New Class of Production Function Model and Its Application," Journal of Systems Science and Information, De Gruyter, vol. 4(2), pages 177-185, April.
    25. Odran Bonnet & Guillaume Chapelle & Alain Trannoy & Etienne Wasmer, 2021. "Land is back, it should be taxed, it can be taxed," Post-Print hal-03238443, HAL.
    26. Nicolai V. Kuminoff & V. Kerry Smith & Christopher Timmins, 2010. "The New Economics of Equilibrium Sorting and its Transformational Role for Policy Evaluation," NBER Working Papers 16349, National Bureau of Economic Research, Inc.
    27. Wang, Zhi & Zhang, Qinghua, 2014. "Fundamental factors in the housing markets of China," Journal of Housing Economics, Elsevier, vol. 25(C), pages 53-61.
    28. Yuhei Miyauchi & Kentaro Nakajima & Stephen J. Redding, 2022. "The Economics of Spatial Mobility: Theory and Evidence Using Smartphone Data," Working Papers 295, Princeton University, Department of Economics, Center for Economic Policy Studies..
    29. Holmes, Thomas J. & Sieg, Holger, 2015. "Structural Estimation in Urban Economics," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 69-114, Elsevier.
    30. Yoshida, Jiro, 2016. "Structure Depreciation and the Production of Real Estate Services," HIT-REFINED Working Paper Series 44, Institute of Economic Research, Hitotsubashi University.
    31. Ahlfeldt, Gabriel M. & Barr, Jason, 2022. "Viewing urban spatial history from tall buildings," Regional Science and Urban Economics, Elsevier, vol. 94(C).
    32. del Río, Fernando & Lores, Francisco-Xavier, 2023. "Accounting for spanish economic development 1850–2019," Economic Modelling, Elsevier, vol. 121(C).
    33. Dan Ben-Moshe & David Genesove, 2023. "Regulation and Frontier Housing Supply," Working Papers 2302, Ben-Gurion University of the Negev, Department of Economics.
    34. Albouy, David & Shin, Minchul, 2022. "A statistical learning approach to land valuation: Optimizing the use of external information," Journal of Housing Economics, Elsevier, vol. 58(PA).
    35. Federica Cappelli & Gianni Guastella & Stefano Pareglio, 2020. "Institutional Fragmentation and Urbanisation in the EU Cities," Working Papers 2020.08, Fondazione Eni Enrico Mattei.
    36. Huai, Yue & Lo, Hong K. & Ng, Ka Fai, 2021. "Monocentric versus polycentric urban structure: Case study in Hong Kong," Transportation Research Part A: Policy and Practice, Elsevier, vol. 151(C), pages 99-118.
    37. Rosenthal, Stuart S. & Ross, Stephen L., 2015. "Change and Persistence in the Economic Status of Neighborhoods and Cities," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 1047-1120, Elsevier.
    38. Ahlfeldt, Gabriel & Nitsch, Volker & Wendland, Nicolai, 2019. "Ease vs. noise: Long-run changes in the value of transport (dis)amenities," CEPR Discussion Papers 13811, Centre for Economic Policy Research.
    39. Braun, Stefanie & Lee, Gabriel S., 2021. "The prices of residential land in German counties," Regional Science and Urban Economics, Elsevier, vol. 89(C).
    40. Minji Bang & Wayne Yuan Gao & Andrew Postlewaite & Holger Sieg, 2021. "Using Monotonicity Restrictions to Identify Models with Partially Latent Covariates," Papers 2101.05847, arXiv.org, revised Jun 2022.
    41. Victor H. Aguiar & Roy Allen & Nail Kashaev, 2020. "Prices, Profits, Proxies, and Production," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20202, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
    42. Molloy, Raven & Nathanson, Charles G. & Paciorek, Andrew, 2022. "Housing supply and affordability: Evidence from rents, housing consumption and household location," Journal of Urban Economics, Elsevier, vol. 129(C).
    43. Tomohiro Hirano & Alexis Akira Toda, 2025. "Land and Infinite Debt Rollover," Papers 2508.16002, arXiv.org, revised Oct 2026.
    44. Seidel, Tobias & Wickerath, Jan, 2020. "Rush hours and urbanization," Regional Science and Urban Economics, Elsevier, vol. 85(C).
    45. Morgan Ubeda, 2020. "Local Amenities, Commuting Costs and Income Disparities Within Cities," Working Papers 2038, Groupe d'Analyse et de Théorie Economique Lyon St-Etienne (GATE Lyon St-Etienne), Université de Lyon.
    46. Tan, Ya & Wang, Zhi & Zhang, Qinghua, 2020. "Land-use regulation and the intensive margin of housing supply," Journal of Urban Economics, Elsevier, vol. 115(C).
    47. Stephen J. Redding, 2024. "Quantitative Urban Economics," Working Papers 340, Princeton University, Department of Economics, Center for Economic Policy Studies..
    48. Krzysztof Olszewski & Hanna Augustyniak & Jacek Laszek & Robert Leszczynski & Joanna Waszczuk, 2016. "On the dynamics of the primary housing market and the forecasting of house prices," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Combining micro and macro data for financial stability analysis, volume 41, Bank for International Settlements.
    49. Lozano, Francisco Javier, 2025. "Elasticidad de los precios de viviendas frente a regulaciones urbanas: Evidencia por el lado de la oferta en Santiago, Chile [How sensitive are housing prices to urban regulations? Supply-side evidence from Santiago, Chile]," MPRA Paper 127133, University Library of Munich, Germany.
    50. Dennis Epple & Michael Peress & Holger Sieg, 2010. "Identification and Semiparametric Estimation of Equilibrium Models of Local Jurisdictions," American Economic Journal: Microeconomics, American Economic Association, vol. 2(4), pages 195-220, November.
    51. Tra, Constant I., 2010. "A discrete choice equilibrium approach to valuing large environmental changes," Journal of Public Economics, Elsevier, vol. 94(1-2), pages 183-196, February.
    52. Liotta, Charlotte & Viguié, Vincent & Lepetit, Quentin, 2022. "Testing the monocentric standard urban model in a global sample of cities," Regional Science and Urban Economics, Elsevier, vol. 97(C).
    53. Gabriel M. Ahlfeldt & Volker Nitsch & Nicolai Wendland, 2019. "Ease versus noise: long-run changes in the value of transport (dis)amenities," CEP Discussion Papers dp1631, Centre for Economic Performance, LSE.
    54. Gabriel M. Ahlfeldt & Fabian Bald & Duncan Roth & Tobias Seidel, 2020. "Quality of life in a dynamic spatial model," CEP Discussion Papers dp1736, Centre for Economic Performance, LSE.
    55. Volker Grossmann & Benjamin Larin & Thomas Steger, 2025. "Das House Kapital: A Long-Run Theory of House Prices and Housing Wealth," Journal of the European Economic Association, European Economic Association, vol. 23(2), pages 705-745.
    56. Tomohiro Hirano & Alexis Akira Toda, 2024. "Unbalanced Growth and Land Overvaluation," Discussion Papers 2442, Centre for Macroeconomics (CFM).
    57. Raven S. Molloy & Charles G. Nathanson & Andrew D. Paciorek, 2020. "Housing Supply and Affordability: Evidence from Rents, Housing Consumption and Household Location," Finance and Economics Discussion Series 2020-044, Board of Governors of the Federal Reserve System (U.S.).
    58. Leung, Charles Ka Yui, 2022. "Housing and Macroeconomics," MPRA Paper 115500, University Library of Munich, Germany.
    59. Tomohiro Hirano & Ryo Jinnai & Alexis Akira Toda, 2023. "Leverage, Endogenous Unbalanced Growth, and Asset Price Bubbles," CIGS Working Paper Series 23-015E, The Canon Institute for Global Studies.
    60. Weida Kuang & Peng Liu, 2015. "Inflation and House Prices: Theory and Evidence from 35 Major Cities in China," International Real Estate Review, Global Social Science Institute, vol. 18(2), pages 217-240.
    61. Redding, Stephen J. & Rossi-Hansberg, Esteban, 2016. "Quantitative spatial economics," LSE Research Online Documents on Economics 69020, London School of Economics and Political Science, LSE Library.
    62. Löffler, Max & Siegloch, Sebastian, 2021. "Welfare Effects of Property Taxation," CEPR Discussion Papers 15927, Centre for Economic Policy Research.
    63. David Albouy & Gabriel Ehrlich, 2012. "Housing Productivity and the Social Cost of Land-Use Restrictions," NBER Working Papers 18110, National Bureau of Economic Research, Inc.
    64. Bayer, Patrick & McMillan, Robert, 2012. "Tiebout sorting and neighborhood stratification," Journal of Public Economics, Elsevier, vol. 96(11), pages 1129-1143.
    65. Stephen J. Redding, 2023. "Quantitative Urban Models: From Theory to Data," Journal of Economic Perspectives, American Economic Association, vol. 37(2), pages 75-98, Spring.
    66. Paul L. E. Grieco & Shengyu Li & Hongsong Zhang, 2016. "Production Function Estimation With Unobserved Input Price Dispersion," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 57(2), pages 665-690, May.
    67. Stephen Calabrese & Dennis Epple & Richard Romano, 2018. "Majority Choice of Taxation and Redistribution in a Federation," NBER Working Papers 25099, National Bureau of Economic Research, Inc.
    68. Ahlfeldt, Gabriel M. & Pietrostefani, Elisabetta, 2019. "The economic effects of density: A synthesis," Journal of Urban Economics, Elsevier, vol. 111(C), pages 93-107.
    69. Atsushi Yamagishi & Yasuhiro Sato, 2022. "Measuring Discrimination in Spatial Equilibrium: 100 Years of Japan's Invisible Race," CIRJE F-Series CIRJE-F-1188, CIRJE, Faculty of Economics, University of Tokyo.
    70. Larson, William & Yezer, Anthony & Zhao, Weihua, 2022. "Urban planning policies and the cost of living in large cities," Regional Science and Urban Economics, Elsevier, vol. 96(C).
    71. Hanna Augustyniak & Jacek Łaszek & Krzysztof Olszewski & Joanna Waszczuk, 2013. "Housing market cycles – a disequilibrium model and its application to the primary housing market in Warsaw," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 35.
    72. Ahfeldt, Gabriel M., 2013. "Urbanity," LSE Research Online Documents on Economics 59244, London School of Economics and Political Science, LSE Library.
    73. Stephen Calabrese & Dennis Epple & Richard Romano, 2025. "The Political Economy of School Finance Systems With Endogenous State and Local Tax Policies," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 66(3), pages 1363-1389, August.
    74. Van Ommeren, Jos N. & Van der Vlist, Arno J., 2016. "Households' willingness to pay for public housing," Journal of Urban Economics, Elsevier, vol. 92(C), pages 91-105.
    75. Reed, Robert R. & Ume, Ejindu S., 2019. "Housing, liquidity risk, and monetary policy," Journal of Macroeconomics, Elsevier, vol. 60(C), pages 138-162.
    76. Henderson, Daniel J., 2008. "A Nonparametric Examination of Capital-Skill Complementarity," IZA Discussion Papers 3865, IZA Network @ LISER.
    77. Michael D. Eriksen & Anthony W. Orlando, 2022. "Returns to Scale in Residential Construction: The Marginal Impact of Building Height," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 50(2), pages 534-564, June.
    78. Epple, Dennis & Romano, Richard & Sieg, Holger, 2012. "The intergenerational conflict over the provision of public education," Journal of Public Economics, Elsevier, vol. 96(3), pages 255-268.
    79. Andrew D. Paciorek, 2012. "Supply constraints and housing market dynamics," Finance and Economics Discussion Series 2012-01, Board of Governors of the Federal Reserve System (U.S.).
    80. Duranton, Gilles & Puga, Diego, 2015. "Urban Land Use," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 467-560, Elsevier.
    81. Avner,Paolo & Viguié,Vincent & Jafino,Bramka Arga & Hallegatte,Stephane, 2021. "Flood Protection and Land Value Creation - Not All Resilience Investments Are Created Equal," Policy Research Working Paper Series 9744, The World Bank.
    82. Gabriel Ahlfeldt & Daniel McMillen, 2014. "New Estimates of the Elasticity of Substitution of Land for Capital," ERSA conference papers ersa14p108, European Regional Science Association.
    83. Łaszek, Jacek & Olszewski, Krzysztof, 2014. "The behaviour of housing developers and aggregate housing supply," MPRA Paper 60478, University Library of Munich, Germany.
    84. Gregory Casey & Ryo Horii, 2019. "A Multi-factor Uzawa Growth Theorem and Endogenous Capital-Augmenting Technological Change," ISER Discussion Paper 1051, Institute of Social and Economic Research, The University of Osaka.
    85. Tomohiro Hirano & Alexis Akira Toda, 2023. "Unbalanced Growth, Elasticity of Substitution, and Land Overvaluation," CIGS Working Paper Series 23-014E, The Canon Institute for Global Studies.
    86. Calabrese, Stephen & Epple, Dennis & Romano, Richard, 2015. "Majority choice of tax systems in single- and multi-jurisdictional economies," Journal of Public Economics, Elsevier, vol. 131(C), pages 58-70.
    87. Chaohai Shen & Tong Sheng & Xingheng Shi & Bingquan Fang & Xiaoqian Lu & Xiaolan Zhou, 2022. "The Relationship between Housing Price, Teacher Salary Improvement, and Sustainable Regional Economic Development," Land, MDPI, vol. 11(12), pages 1-21, December.
    88. Athiphat Muthitacharoen & George R. Zodrow, 2012. "Revisiting the Excise Tax Effects of the Property Tax," Public Finance Review, , vol. 40(5), pages 555-583, September.
    89. Furth, Salim, 2021. "Foundations and Microfoundations: Building Houses on Regulated Land," Working Papers 10752, George Mason University, Mercatus Center.
    90. Sevrin Waights, 2016. "The Preservation of Historic Districts - Is it Worth it?," SERC Discussion Papers 0202, Centre for Economic Performance, LSE.
    91. Beze, Eyayaw, 2023. "Geographic constraints and the housing supply elasticity in Germany," Ruhr Economic Papers 1003, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    92. Stephen Calabrese & Dennis N. Epple & Richard Romano, 2011. "Inefficiencies from Metropolitan Political and Fiscal Decentralization: Failures of Tiebout Competition," NBER Working Papers 17251, National Bureau of Economic Research, Inc.
    93. Gabriel M. Ahfeldt, 2013. "Urbanity," SERC Discussion Papers 0136, Centre for Economic Performance, LSE.
    94. Roland Füss & Jan A. Koller & Alois Weigand, 2021. "Determining Land Values from Residential Rents," Land, MDPI, vol. 10(4), pages 1-29, March.
    95. Calabrese, Stephen, 2024. "Household mobility and the political economy and welfare effects of local tax limits," Journal of Urban Economics, Elsevier, vol. 142(C).
    96. Wang, Yixuan, 2024. "Urban Redevelopment and Gentrification: Evidence from the Atlanta BeltLine," 2024 Annual Meeting, July 28-30, New Orleans, LA 343550, Agricultural and Applied Economics Association.

  16. Brett R. Gordon, 2009. "A Dynamic Model of Consumer Replacement Cycles in the PC Processor Industry," Marketing Science, INFORMS, vol. 28(5), pages 846-867, 09-10.

    Cited by:

    1. Stephen P. Ryan & Catherine Tucker, 2011. "Heterogeneity and the Dynamics of Technology Adoption," NBER Working Papers 17253, National Bureau of Economic Research, Inc.
    2. Qiaowei Shen, 2014. "A Dynamic Model of Entry and Exit in a Growing Industry," Marketing Science, INFORMS, vol. 33(5), pages 712-724, September.
    3. Takeshi Fukasawa, 2022. "The Biases in Applying Static Demand Models under Dynamic Demand," Discussion Paper Series DP2022-18, Research Institute for Economics & Business Administration, Kobe University, revised Jul 2022.
    4. Gautam Gowrisankaran & Marc Rysman, 2012. "Dynamics of Consumer Demand for New Durable Goods," Journal of Political Economy, University of Chicago Press, vol. 120(6), pages 1173-1219.
    5. Seong, Wooje & Choi, Hyunhong & Koo, Yoonmo, 2026. "Semi-dynamics of electric vehicle adoption based on strategic consumer choices: Preference statement-guided forward-looking behavior based on individual expectations," Journal of choice modelling, Elsevier, vol. 58(C).
    6. Kristina Brecko, 2023. "New Features Free of Charge? Intertemporal Product Versions and Pricing in the Software Market," Marketing Science, INFORMS, vol. 42(1), pages 61-86, January.
    7. Unni Pillai, 2013. "A Model of Technological Progress in the Microprocessor Industry," Journal of Industrial Economics, Wiley Blackwell, vol. 61(4), pages 877-912, December.
    8. Jean-Pierre H. Dubé & Günter J. Hitsch & Pradeep K. Chintagunta, 2010. "Tipping and Concentration in Markets with Indirect Network Effects," Marketing Science, INFORMS, vol. 29(2), pages 216-249, 03-04.
    9. Tat Chan & Ravi Dhar & William Putsis, 2015. "The Technological Conundrum: How Rapidly Advancing Technology Can Lead to Commoditization," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 2(2), pages 119-132, June.
    10. Botao Yang & Andrew T. Ching, 2014. "Dynamics of Consumer Adoption of Financial Innovation: The Case of ATM Cards," Management Science, INFORMS, vol. 60(4), pages 903-922, April.
    11. Prince, Jeffrey T., 2009. "How do households choose quality and time to replacement for a rapidly improving durable good?," International Journal of Industrial Organization, Elsevier, vol. 27(2), pages 302-311, March.
    12. Eric W. Bond & Toshiaki Iizuka, 2014. "Durable Goods Price Cycles: Theory And Evidence From The Textbook Market," Economic Inquiry, Western Economic Association International, vol. 52(2), pages 518-538, April.
    13. Chu, Junhong, 2013. "Quantifying nation equity with sales data: A structural approach," International Journal of Research in Marketing, Elsevier, vol. 30(1), pages 19-35.
    14. Xiao Liu & Timothy Derdenger & Baohong Sun, 2018. "An Empirical Analysis of Consumer Purchase Behavior of Base Products and Add-ons Given Compatibility Constraints," Marketing Science, INFORMS, vol. 37(4), pages 569-591, August.
    15. Paulo Albuquerque & Yulia Nevskaya, 2022. "The Impact of New Content and User Community Membership on Usage of Online Games," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 9(1), pages 1-24, June.
    16. Masakazu Ishihara & Andrew T. Ching, 2019. "Dynamic Demand for New and Used Durable Goods Without Physical Depreciation: The Case of Japanese Video Games," Marketing Science, INFORMS, vol. 38(3), pages 392-416, May.
    17. Wesley R. Hartmann & Harikesh S. Nair, 2010. "Retail Competition and the Dynamics of Demand for Tied Goods," Marketing Science, INFORMS, vol. 29(2), pages 366-386, 03-04.
    18. Ian A. Kash & Peter B. Key & Spyros I. Zoumpoulis, 2023. "Optimal Pricing and Introduction Timing of Technology Upgrades in Subscription-Based Services," Operations Research, INFORMS, vol. 71(2), pages 665-687, March.
    19. Timothy Derdenger & Vineet Kumar, 2019. "Estimating dynamic discrete choice models with aggregate data: Properties of the inclusive value approximation," Quantitative Marketing and Economics (QME), Springer, vol. 17(4), pages 359-384, December.
    20. Eslami, Hossein & Krishnan, Trichy, 2023. "New sustainable product adoption: The role of economic and social factors," Energy Policy, Elsevier, vol. 183(C).
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    26. Bryan Bollinger, 2015. "Green technology adoption: An empirical study of the Southern California garment cleaning industry," Quantitative Marketing and Economics (QME), Springer, vol. 13(4), pages 319-358, December.
    27. Takeshi Fukasawa, 2024. "The Biases in Applying Static Demand Models Under Dynamic Demand," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 65(2), pages 561-594, September.
    28. Ronald L. Goettler & Brett R. Gordon, 2011. "Does AMD Spur Intel to Innovate More?," Journal of Political Economy, University of Chicago Press, vol. 119(6), pages 1141-1200.
    29. Mahmood Pedram & Subramanian Balachander, 2015. "Increasing Quality Sequence: When Is It an Optimal Product Introduction Strategy?," Management Science, INFORMS, vol. 61(10), pages 2487-2494, October.
    30. Hongmin Li & Dieter Armbruster & Karl G. Kempf, 2013. "A Population-Growth Model for Multiple Generations of Technology Products," Manufacturing & Service Operations Management, INFORMS, vol. 15(3), pages 343-360, July.
    31. Hui Li, 2019. "Intertemporal Price Discrimination with Complementary Products: E-Books and E-Readers," Management Science, INFORMS, vol. 67(6), pages 2665-2694, June.
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    39. Bart Bronnenberg & Jean Dubé & Carl Mela & Paulo Albuquerque & Tulin Erdem & Brett Gordon & Dominique Hanssens & Guenter Hitsch & Han Hong & Baohong Sun, 2008. "Measuring long-run marketing effects and their implications for long-run marketing decisions," Marketing Letters, Springer, vol. 19(3), pages 367-382, December.
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  17. Bart Bronnenberg & Jean Dubé & Carl Mela & Paulo Albuquerque & Tulin Erdem & Brett Gordon & Dominique Hanssens & Guenter Hitsch & Han Hong & Baohong Sun, 2008. "Measuring long-run marketing effects and their implications for long-run marketing decisions," Marketing Letters, Springer, vol. 19(3), pages 367-382, December.

    Cited by:

    1. Ronald Goettler & Brett Gordon, 2014. "Competition and product innovation in dynamic oligopoly," Quantitative Marketing and Economics (QME), Springer, vol. 12(1), pages 1-42, March.
    2. Jean-Pierre H. Dubé & Günter J. Hitsch & Pradeep K. Chintagunta, 2010. "Tipping and Concentration in Markets with Indirect Network Effects," Marketing Science, INFORMS, vol. 29(2), pages 216-249, 03-04.
    3. Szymanowski, M.G., 2009. "Consumption-based learning about brand quality : Essays on how private labels share and borrow reputation," Other publications TiSEM b12825d8-5e21-4437-adda-b, Tilburg University, School of Economics and Management.
    4. Brett R. Gordon & Baohong Sun, 2015. "A Dynamic Model of Rational Addiction: Evaluating Cigarette Taxes," Marketing Science, INFORMS, vol. 34(3), pages 452-470, May.
    5. Bryan Bollinger & Steven E. Sexton, 2023. "Local excise taxes, sticky prices, and spillovers: evidence from Berkeley’s soda tax," Quantitative Marketing and Economics (QME), Springer, vol. 21(2), pages 281-331, June.
    6. Joseph K Goodman & Selin A Malkoc & Mosi Rosenboim, 2019. "The Material-Experiential Asymmetry in Discounting: When Experiential Purchases Lead to More Impatience," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 46(4), pages 671-688.
    7. Jean-Pierre Dubé & Günter Hitsch & Pranav Jindal, 2014. "The Joint identification of utility and discount functions from stated choice data: An application to durable goods adoption," Quantitative Marketing and Economics (QME), Springer, vol. 12(4), pages 331-377, December.
    8. Jean-Pierre Dubé & Günter J. Hitsch & Pranav Jindal, 2012. "The Joint Identification of Utility and Discount Functions From Stated Choice Data: An Application to Durable Goods Adoption," NBER Working Papers 18393, National Bureau of Economic Research, Inc.

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