Multiattribute Search: Empirical Evidence and Information Design

The authors thank Carlos Daniel Santos, Ilya Morozov, Przemyslaw Jeziorski, Rafael Greminger, Robert Sanders, and Stephan Seiler for helpful comments. The authors acknowledge the feedback from the research seminars at Bocconi University, Catolica Lisbon Business and Economics, Catolica Porto Business School, INSEAD, London Business School, Nova School of Business and Economics, University College London, the University of California, San Diego, the University of Navarra, and the University of Toronto as well as from the 2018 Informs Society for Marketing Science Marketing Science, the 2019 Summer in Competitive Strategy, the 2019 University of Texas at Dallas Frontiers of Research in Marketing Science Conference, and the 2020 National Bureau of Economic Research Industrial Organization Meeting conferences, which significantly improved this work. The authors thank the Data Science Knowledge Center at Nova SBE and Stanford GSB for generous access to their computing resources. The authors also thank the review team for the excellent feedback and support. All authors certify that they have no affiliations with or involvement in any organization or entity with any financial interest or nonfinancial interest in the subject matter or materials discussed in this manuscript.