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Peter E. Rossi

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.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Jones, Larry E. & Manuelli, Rodolfo E. & Rossi, Peter E., 1997. "On the Optimal Taxation of Capital Income," Journal of Economic Theory, Elsevier, vol. 73(1), pages 93-117, March.

    Mentioned in:

    1. Should human capital be taxed?
      by Economic Logician in Economic Logic on 2010-10-12 20:56:00
  2. Timothy G. Conley & Christian B. Hansen & Peter E. Rossi, 2012. "Plausibly Exogenous," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 260-272, February.

    Mentioned in:

    1. Plausibly Exogenous
      by Liam Delaney in Economics and Psychology Research on 2012-05-12 21:21:00
    2. Metrics Monday: Dealing with Imperfect Instruments I
      by Marc F. Bellemare in Marc F. Bellemare on 2017-01-16 17:00:47

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Judith A. Chevalier & Anil K. Kashyap & Peter E. Rossi, 2003. "Why Don't Prices Rise During Periods of Peak Demand? Evidence from Scanner Data," American Economic Review, American Economic Association, vol. 93(1), pages 15-37, March.

    Mentioned in:

    1. Why Don't Prices Rise During Periods of Peak Demand? Evidence from Scanner Data (AER 2003) in ReplicationWiki ()

Working papers

  1. Andrey Simonov & Jean-Pierre H. Dubé & Günter J. Hitsch & Peter E. Rossi, 2019. "State-Dependent Demand Estimation with Initial Conditions Correction," NBER Working Papers 26217, National Bureau of Economic Research, Inc.

    Cited by:

  2. M. Keith Chen & Judith A. Chevalier & Peter E. Rossi & Emily Oehlsen, 2017. "The Value of Flexible Work: Evidence from Uber Drivers," NBER Working Papers 23296, National Bureau of Economic Research, Inc.

    Cited by:

    1. Greg Buchak, 2024. "Financing the Gig Economy," Journal of Finance, American Finance Association, vol. 79(1), pages 219-256, February.
    2. Athey, Susan & Luca, Michael, 2018. "Economists (and Economics) in Tech Companies," Research Papers 3735, Stanford University, Graduate School of Business.
    3. Varun Krishnan & Ramon Iglesias & Sebastien Martin & Su Wang & Varun Pattabhiraman & Garrett Van Ryzin, 2022. "Solving the Ride-Sharing Productivity Paradox: Priority Dispatch and Optimal Priority Sets," Interfaces, INFORMS, vol. 52(5), pages 433-445, September.
    4. Peter Blair & Benjamin Posmanick, 2023. "Why Did Gender Wage Convergence in the United States Stall?," Working Papers 2023-001, Human Capital and Economic Opportunity Working Group.
    5. Jeffrey Clemens, 2021. "How Do Firms Respond to Minimum Wage Increases? Understanding the Relevance of Non-employment Margins," Journal of Economic Perspectives, American Economic Association, vol. 35(1), pages 51-72, Winter.
    6. Haoran He & David Neumark & Qian Weng, 2021. "Do Workers Value Flexible Jobs? A Field Experiment," Journal of Labor Economics, University of Chicago Press, vol. 39(3), pages 709-738.
    7. Feng Deng, 2019. "The sharing economy and urban property rights," Asia-Pacific Journal of Regional Science, Springer, vol. 3(1), pages 121-136, February.
    8. Kominers, Scott Duke & Teytelboym, Alexander & Crawford, Vincent P, 2017. "An invitation to market design," University of California at San Diego, Economics Working Paper Series qt3xp2110t, Department of Economics, UC San Diego.
    9. Li, Xing & Yang, Gang & Shao, Tihang & Yang, Dan & Liu, Zimin, 2024. "Does digital infrastructure promote individual entrepreneurship? Evidence from a quasi-natural experiment on the “Broadband China” strategy," Technological Forecasting and Social Change, Elsevier, vol. 206(C).
    10. Navickas Valentinas & Petrokė Ieva & Bilan Yuriy, 2024. "A Sectoral Perspective on the Sharing Economy’s Development," Folia Oeconomica Stetinensia, Sciendo, vol. 24(2), pages 202-228.
    11. Junhong Chu & Yige Duan & Xianling Yang & Li Wang, 2021. "The Last Mile Matters: Impact of Dockless Bike Sharing on Subway Housing Price Premium," Management Science, INFORMS, vol. 67(1), pages 297-316, January.
    12. Manav Raj & Arun Sundararajan & Calum You, 2020. "COVID-19 and Digital Resilience: Evidence from Uber Eats," Papers 2006.07204, arXiv.org, revised Feb 2023.
    13. Paul Oyer, 2020. "The gig economy," IZA World of Labor, Institute of Labor Economics (IZA), pages 471-471, January.
    14. German Cubas & Chinhui Juhn & Pedro Silos, 2020. "Coordinated Work Schedules and the Gender Wage Gap," DETU Working Papers 2002, Department of Economics, Temple University.
    15. Wang, Wei & Miao, Wei & Liu, Yongdong & Deng, Yiting & Cao, Yunfei, 2022. "The impact of COVID-19 on the ride-sharing industry and its recovery: Causal evidence from China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 128-141.
    16. Yanwen Wang & Chunhua Wu & Ting Zhu, 2019. "Mobile Hailing Technology and Taxi Driving Behaviors," Marketing Science, INFORMS, vol. 38(5), pages 734-755, September.
    17. Henao, Alejandro & Marshall, Wesley E., 2019. "An analysis of the individual economics of ride-hailing drivers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 440-451.
    18. Mohd Daud, Siti Nurazira & Osman, Zaiton & Samsudin, Shamzaeffa & Phang, Ing Grace, 2024. "Adapting to the gig economy: Determinants of financial resilience among “Giggers”," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 756-771.
    19. Hanson, Gordon H., 2023. "Immigration and Regional Specialization in AI," SocArXiv 9a45d, Center for Open Science.
    20. di Porto, Edoardo & Garibaldi, Pietro & Mastrobuoni, Giovanni & Naticchioni, Paolo, 2022. "The Perverse Effect of Flexible Work Arrangements on Informality," IZA Discussion Papers 15794, Institute of Labor Economics (IZA).
    21. Zoë Cullen & Chiara Farronato, 2021. "Outsourcing Tasks Online: Matching Supply and Demand on Peer-to-Peer Internet Platforms," Management Science, INFORMS, vol. 67(7), pages 3985-4003, July.
    22. Brodeur, Abel & Nield, Kerry, 2016. "Has Uber Made It Easier to Get a Ride in the Rain?," IZA Discussion Papers 9986, Institute of Labor Economics (IZA).
    23. Yan, Xiang & Liu, Xinyu & Zhao, Xilei, 2020. "Using machine learning for direct demand modeling of ridesourcing services in Chicago," Journal of Transport Geography, Elsevier, vol. 83(C).
    24. Kesternich, Iris & Schumacher, H. & Siflinger, Bettina & Valder, Franziska, 2018. "Reservation Wages and Labor Supply," Discussion Paper 2018-054, Tilburg University, Center for Economic Research.
    25. Berger, Thor & Chen, Chinchih & Frey, Carl Benedikt, 2018. "Drivers of disruption? Estimating the Uber effect," European Economic Review, Elsevier, vol. 110(C), pages 197-210.
    26. Yongwook Paik & Christos A. Makridis, 2023. "The social value of a ridesharing platform: a hedonic pricing approach," Empirical Economics, Springer, vol. 64(5), pages 2125-2150, May.
    27. Cosaert, Sam & Lefebvre, Mathieu & Martin, Ludivine, 2022. "Are preferences for work reference dependent or time nonseparable? New experimental evidence," European Economic Review, Elsevier, vol. 148(C).
    28. Gideon D. Markman & Marvin Lieberman & Michael Leiblein & Li‐Qun Wei & Yonggui Wang, 2021. "The Distinctive Domain of the Sharing Economy: Definitions, Value Creation, and Implications for Research," Journal of Management Studies, Wiley Blackwell, vol. 58(4), pages 927-948, June.
    29. Ni Huang & Gordon Burtch & Yili Hong & Paul A. Pavlou, 2020. "Unemployment and Worker Participation in the Gig Economy: Evidence from an Online Labor Market," Information Systems Research, INFORMS, vol. 31(2), pages 431-448, June.
    30. Nicolai J. Foss & Peter G. Klein, 2023. "Why managers still matter as applied organization (design) theory," Journal of Organization Design, Springer;Organizational Design Community, vol. 12(1), pages 7-18, June.
    31. Marie Boltz & Bart Cockx & Ana Maria Diaz & Luz Magdalena Salas, 2020. "How Does Working-Time Flexibility Affect Workers' Productivity in a Routine Job ? Evidence from a Field Experiment," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-02994924, HAL.
    32. David R. Agrawal & Weihua Zhao, 2023. "Taxing Uber," CESifo Working Paper Series 10313, CESifo.
    33. Qi Zheng & Jing Zhan & Xinying Xu, 2024. "Platform Training and Learning by Doing and Gig Workers’ Incomes: Empirical Evidence From China’s Food Delivery Riders," SAGE Open, , vol. 14(3), pages 21582440241, September.
    34. Morris, Eric A. & Zhou, Ying & Brown, Anne E. & Khan, Sakib M. & Derochers, John L. & Campbell, Harry & Pratt, Angela N. & Chowdhury, Mashrur, 2020. "Are drivers cool with pool? Driver attitudes towards the shared TNC services UberPool and Lyft Shared," Transport Policy, Elsevier, vol. 94(C), pages 123-138.
    35. Banerjee, Rakesh & Bharati, Tushar & Fakir, Adnan & Qian, Yiwei & Sunder, Naveen, 2024. "Gender Differences in Preferences for Flexible Work Hours: Experimental Evidence from an Online Freelancing Platform," IZA Discussion Papers 17434, Institute of Labor Economics (IZA).
    36. Wu, Tian & Zhang, Mengbo & Tian, Xin & Wang, Shouyang & Hua, Guowei, 2020. "Spatial differentiation and network externality in pricing mechanism of online car hailing platform," International Journal of Production Economics, Elsevier, vol. 219(C), pages 275-283.
    37. Biermann, Marcus, 2021. "Remote talks: changes to economics seminars during Covid-19," LSE Research Online Documents on Economics 114429, London School of Economics and Political Science, LSE Library.
    38. Joshua D. Angrist & Sydnee Caldwell & Jonathan V. Hall, 2017. "Uber vs. Taxi: A Driver’s Eye View," NBER Working Papers 23891, National Bureau of Economic Research, Inc.
    39. Alexandre Mas & Amanda Pallais, 2019. "Labor Supply and the Value of Non-work Time: Experimental Estimates from the Field," American Economic Review: Insights, American Economic Association, vol. 1(1), pages 111-126, June.
    40. Cody Cook & Rebecca Diamond & Jonathan Hall & John List & Paul Oyer, 2018. "The Gender Earnings Gap in the Gig Economy: Evidence from over a Million Rideshare Drivers," Natural Field Experiments 00634, The Field Experiments Website.
    41. 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.
    42. Maier, Michael F. & Viete, Steffen & Ody, Margard, 2017. "Plattformbasierte Erwerbsarbeit: Stand der empirischen Forschung," IZA Research Reports 81, Institute of Labor Economics (IZA).
    43. Rudolf Kerschbamer & Daniel Neururer & Matthias Sutter, 2019. "Credence Goods Markets and the Informational Value of New Media: A Natural Field Experiment," CESifo Working Paper Series 7932, CESifo.
    44. Omberg, Tucker, 2024. "The labor market impacts of ridesharing on American Cities," Labour Economics, Elsevier, vol. 90(C).
    45. Sun, Hao & Wang, Hai & Wan, Zhixi, 2019. "Model and analysis of labor supply for ride-sharing platforms in the presence of sample self-selection and endogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 125(C), pages 76-93.
    46. Hai Long Duong & Junhong Chu & Dai Yao, 2023. "Taxi Drivers’ Response to Cancellations and No-Shows: New Evidence for Reference-Dependent Preferences," Management Science, INFORMS, vol. 69(1), pages 179-199, January.
    47. Gérard P. Cachon & Karan Girotra & Serguei Netessine, 2020. "Interesting, Important, and Impactful Operations Management," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 214-222, January.
    48. Janine Berg & Francis Green & Laura Nurski & David A Spencer, 2023. "Risks to job quality from digital technologies: Are industrial relations in Europe ready for the challenge?," European Journal of Industrial Relations, , vol. 29(4), pages 347-365, December.
    49. Binyi Yang, 2024. "Balancing flexibility and stability: The role of outsourced service stations in managing food‐delivery platform work in China," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 63(4), pages 530-551, October.
    50. John M. Barrios & Yael V. Hochberg & Hanyi Yi, 2020. "Launching with a Parachute: The Gig Economy and New Business Formation," NBER Working Papers 27183, National Bureau of Economic Research, Inc.
    51. Yu Jeffrey Hu & Jeroen Rombouts & Ines Wilms, 2023. "Fast Forecasting of Unstable Data Streams for On-Demand Service Platforms," Papers 2303.01887, arXiv.org, revised May 2024.
    52. Maarten Goos & Melanie Arntz & Ulrich Zierahn & Terry Gregory & Stephanie Carretero Gomez & Ignacio Gonzalez Vazquez & Koen Jonkers, 2019. "The Impact of Technological Innovation on the Future of Work," JRC Working Papers on Labour, Education and Technology 2019-03, Joint Research Centre.
    53. Yang Pan & LiangFei Qiu, 2018. "Is Uber Helping or Hurting Mass Transit? An Empirical Investigation," Working Papers 18-11, NET Institute.
    54. Anthony J. Evans, 2024. "Information, classification and contestability: a cultural economics approach to Uber’s entry into the taxi industry," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 37(4), pages 421-442, December.
    55. Omar Isaac Asensio & Camila Z. Apablaza & M. Cade Lawson & Sarah Elizabeth Walsh, 2022. "A field experiment on workplace norms and electric vehicle charging etiquette," Journal of Industrial Ecology, Yale University, vol. 26(1), pages 183-196, February.
    56. Lam, Chungsang Tom & Liu, Meng & Hui, Xiang, 2021. "The geography of ridesharing: A case study on New York City," Information Economics and Policy, Elsevier, vol. 57(C).
    57. Kuan-Ming Chen & Ning Ding & John A. List & Magne Mogstad, 2020. "Reservation Wages and Workers’ Valuation of Job Flexibility: Evidence from a Natural Field Experiment," Working Papers 2020-124, Becker Friedman Institute for Research In Economics.
    58. Adermon, Adrian & Hensvik, Lena, 2020. "Gig-jobs: stepping stones or dead ends?," Working Paper Series 2020:23, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    59. Schaap, Robbert-Jan & Gonzalez-Poblete, Exequiel & Silva Aedo, Karin Loreto & Diekert, Florian, 2024. "Risk, restrictive quotas, and income smoothing," Ecological Economics, Elsevier, vol. 225(C).
    60. Gao, Chang & Lin, Xi & He, Fang & Tang, Xindi, 2024. "Online relocating and matching of ride-hailing services: A model-based modular approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 188(C).
    61. Wang, Hai & Yang, Hai, 2019. "Ridesourcing systems: A framework and review," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 122-155.
    62. Ivaldi, Marc & Palikot, Emil, 2023. "Sharing when stranger equals danger: Ridesharing during Covid-19 pandemic," Transport Policy, Elsevier, vol. 141(C), pages 221-231.
    63. Cantarella, Michele & Strozzi, Chiara, 2022. "Piecework and Job Search in the Platform Economy," IZA Discussion Papers 15775, Institute of Labor Economics (IZA).
    64. Fanfani Bernardo & Passerini Filippo, 2024. "Do Alternative Work Arrangements Substitute Standard Employment? Evidence from Worker-level Data," Working papers 085, Department of Economics, Social Studies, Applied Mathematics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino.
    65. Leon S. Moskatel & David J.G. Slusky, 2017. "Did UberX Reduce Ambulance Volume?," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201708, University of Kansas, Department of Economics, revised Oct 2017.
    66. Oliver Alexander & Jeff Borland & Andrew Charlton & Amit Singh, 2022. "The Labour Market for Uber Drivers in Australia," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 55(2), pages 177-194, June.
    67. Kuan-Ming Chen & Claire Ding & John A. List & Magne Mogstad, 2020. "Reservation Wages and Workers’ Valuation of Job Flexibility: Evidence from a Natural Field Experiment," NBER Working Papers 27807, National Bureau of Economic Research, Inc.
    68. David R. Agrawal & Kenneth Tester, 2023. "State Taxation of Nonresident Income and the Location of Work," CESifo Working Paper Series 10353, CESifo.
    69. Meng Liu & Erik Brynjolfsson & Jason Dowlatabadi, 2021. "Do Digital Platforms Reduce Moral Hazard? The Case of Uber and Taxis," Management Science, INFORMS, vol. 67(8), pages 4665-4685, August.
    70. 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.
    71. Mourelatos, Evangelos & Zervas, Panagiotis & Lagios, Dimitris & Tzimas, Giannis, 2024. "Can AI Bridge the Gender Gap in Competitiveness?," GLO Discussion Paper Series 1404, Global Labor Organization (GLO).
    72. Ghorpade, Yashodhan & Jasmin, Alyssa & Rahman, Amanina Abdur, 2024. "Do Gig Workers Prefer Money to Flexibility? Insights from a Discrete-Choice Experiment in Malaysia," IZA Discussion Papers 17093, Institute of Labor Economics (IZA).
    73. Alisa Tazhitdinova, 2020. "Increasing Hours Worked: Moonlighting Responses to a Large Tax Reform," NBER Working Papers 27726, National Bureau of Economic Research, Inc.
    74. Xiaoyu Xia & Juin Kuan Chong, 2022. "No Magic for Market Entry in the Field: Evidence from Taxi Markets," Management Science, INFORMS, vol. 68(6), pages 4670-4684, June.
    75. Teltser, Keith & Lennon, Conor & Burgdorf, Jacob, 2021. "Do ridesharing services increase alcohol consumption?," Journal of Health Economics, Elsevier, vol. 77(C).
    76. Ge, Yanbo & Knittel, Christopher R. & MacKenzie, Don & Zoepf, Stephen, 2020. "Racial discrimination in transportation network companies," Journal of Public Economics, Elsevier, vol. 190(C).
    77. Soheil Ghili & Vineet Kumar, 2020. "Spatial Distribution of Supply and the Role of Market Thickness: Theory and Evidence from Ride Sharing," Cowles Foundation Discussion Papers 2219, Cowles Foundation for Research in Economics, Yale University.
    78. Clemens, Jeffrey, 2019. "Making Sense of the Minimum Wage: A Roadmap for Navigating Recent Research," MPRA Paper 94324, University Library of Munich, Germany.
    79. Bäckman, Claes & Hanspal, Tobin, 2018. "Participation and Losses in Multi-Level Marketing: Evidence from an FTC Settlement," Working Papers 2018:13, Lund University, Department of Economics, revised 22 Aug 2019.
    80. Cosaert, Sam & Nieto Castro, Adrian & Tatsiramos, Konstantinos, 2023. "Temperature and the Timing of Work," IZA Discussion Papers 16480, Institute of Labor Economics (IZA).
    81. Lukas Kiessling & Jonas Radbruch & Sebastian Schaube, 2022. "Self-Selection of Peers and Performance," Management Science, INFORMS, vol. 68(11), pages 8184-8201, November.
    82. Sirui Li & Ying Liu & Jing Su & Xin Luo & Xiao Yang, 2022. "Can e-commerce platforms build the resilience of brick-and-mortar businesses to the COVID-19 shock? An empirical analysis in the Chinese retail industry," ULB Institutional Repository 2013/356995, ULB -- Universite Libre de Bruxelles.
    83. Cecilia POGGI & Ariela MICHA & Francisca PEREYRA, 2022. "Gender inequalities in the platform economy: The cases of delivery and private passenger transport services in the Buenos Aires Metropolitan Area," Working Paper 438e22d3-239e-468a-b317-b, Agence française de développement.
    84. Carson Young, 2019. "Putting the Law in Its Place: Business Ethics and the Assumption that Illegal Implies Unethical," Journal of Business Ethics, Springer, vol. 160(1), pages 35-51, November.
    85. Haoran He & David Neumark & Qian Weng, 2019. "Do Workers Value Flexible Jobs? A Field Experiment on Compensating Differentials," Natural Field Experiments 00667, The Field Experiments Website.
    86. Andrés Fielbaum & Alejandro Tirachini, 2021. "The sharing economy and the job market: the case of ride-hailing drivers in Chile," Transportation, Springer, vol. 48(5), pages 2235-2261, October.
    87. Anuj Kapoor & Catherine Tucker, 2017. "How do Platform Participants respond to an Unfair Rating? An Analysis of a Ride-Sharing Platform Using a Quasi-Experiment," Working Papers 17-19, NET Institute.
    88. Yoshifumi Konishi & Akari Ono, 2024. "Is Ride-sharing Good for Environment?," Keio-IES Discussion Paper Series 2024-014, Institute for Economics Studies, Keio University.
    89. Dong, Tingting & Xu, Zhengtian & Luo, Qi & Yin, Yafeng & Wang, Jian & Ye, Jieping, 2021. "Optimal contract design for ride-sourcing services under dual sourcing," Transportation Research Part B: Methodological, Elsevier, vol. 146(C), pages 289-313.
    90. Hayato Kanayama & Suguru Otani, 2024. "Nonparametric Estimation of Matching Efficiency and Elasticity in a Spot Gig Work Platform: 2019-2023," Papers 2412.19024, arXiv.org.
    91. He, Zhengbing, 2021. "Portraying ride-hailing mobility using multi-day trip order data: A case study of Beijing, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 146(C), pages 152-169.
    92. Steven T. Berry & Martin Gaynor & Fiona Scott Morton, 2019. "Do Increasing Markups Matter? Lessons from Empirical Industrial Organization," NBER Working Papers 26007, National Bureau of Economic Research, Inc.
    93. Pettit, Christopher & Liu, Edgar & Rennie, Ellie & Goldenfein, Jake & Glackin, Stephen & Hayward, Richard Donald, 2018. "Understanding the disruptive technology ecosystem in Australian urban and housing contexts: a roadmap," SocArXiv mdxyf, Center for Open Science.
    94. Minkyu Shin & Jiwoong Shin & Soheil Ghili & Jaehwan Kim, 2023. "The Impact of the Gig Economy on Product Quality Through the Labor Market: Evidence from Ridesharing and Restaurant Quality," Management Science, INFORMS, vol. 69(5), pages 2620-2638, May.
    95. Yiyuan Ma & Ke Chen & Youzhi Xiao & Rong Fan, 2022. "Does Online Ride-Hailing Service Improve the Efficiency of Taxi Market? Evidence from Shanghai," Sustainability, MDPI, vol. 14(14), pages 1-16, July.
    96. David P. Baron, 2018. "Disruptive Entrepreneurship and Dual Purpose Strategies: The Case of Uber," Strategy Science, INFORMS, vol. 3(2), pages 439-462, June.
    97. Jin Liu & Xingchen Xu & Xi Nan & Yongjun Li & Yong Tan, 2023. ""Generate" the Future of Work through AI: Empirical Evidence from Online Labor Markets," Papers 2308.05201, arXiv.org, revised Jun 2024.
    98. Soheil Ghili & Vineet Kumar, 2020. "Spatial Distribution of Supply and the Role of Market Thickness: Theory and Evidence from Ride Sharing," Cowles Foundation Discussion Papers 2219R, Cowles Foundation for Research in Economics, Yale University, revised Aug 2020.
    99. Kazakova, E. & Sandomirskaia, M. & Suvorov, A. & Khazhgerieva, A. & Shavshin, R., 2023. "Platforms, online labor markets, and crowdsourcing. Part 2. Crowdsourcing," Journal of the New Economic Association, New Economic Association, vol. 61(4), pages 128-144.
    100. John M. Barrios & Yael Hochberg & Hanyi Yi, 2020. "The Cost of Convenience: Ridehailing and Traffic Fatalities," NBER Working Papers 26783, National Bureau of Economic Research, Inc.
    101. Xu, Yu & Ling, Liuyi & Wu, Jie & Xu, Shengshuo, 2024. "On-demand ride-hailing platforms under green mobility: Pricing strategies and government regulation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 189(C).
    102. Soheil Ghili & Vineet Kumar, 2021. "Spatial Distribution of Supply and the Role of Market Thickness: Theory and Evidence from Ride Sharing," Papers 2108.05954, arXiv.org.
    103. Hildenbrand, Hannah-Maria & von Rueden, Christina & Viete, Steffen, 2021. "Measuring the online platform economy in Germany," Working Papers 07/2021, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung.
    104. Wei, Wanying & Liu, Weihua & Tang, Ou & Dong, Chuanwen & Liang, Yanjie, 2023. "CSR investment for a two-sided platform: Network externality and risk aversion," European Journal of Operational Research, Elsevier, vol. 307(2), pages 694-712.
    105. Oliver Alexander & Jeff Borland & Andrew Charlton & Amit Singh, 2021. "Uber down under: The labour market for drivers in Australia," Melbourne Institute Working Paper Series wp2021n18, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    106. Hyuncheol Bryant Kim & Hyunseob Kim & John Zhu, 2022. "The Selection Effects of Part-Time Work: Experimental Evidence from a Large-Scale Recruitment Drive," Working Paper Series WP 2022-51, Federal Reserve Bank of Chicago.
    107. Jeon, Junkee & Park, Kyunghyun, 2023. "Optimal job switching and retirement decision," Applied Mathematics and Computation, Elsevier, vol. 443(C).
    108. Soheil Ghili, 2021. "Optimal Bundling: Characterization, Interpretation, and Implications for Empirical Work," Cowles Foundation Discussion Papers 2273, Cowles Foundation for Research in Economics, Yale University.
    109. T. Tony Ke & Monic Sun & Baojun Jiang, 2024. "Peer-to-Peer Markets with Bilateral Ratings," Marketing Science, INFORMS, vol. 43(5), pages 1081-1101, September.
    110. Jason Sockin, 2022. "Show Me the Amenity: Are Higher-Paying Firms Better All Around?," CESifo Working Paper Series 9842, CESifo.
    111. Saara Hämäläinen & Vaiva Petrikaitė, 2024. "Prediction algorithms in matching platforms," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 78(3), pages 979-1020, November.
    112. Jack Fisher, 2024. "Monopsony Power in the Gig Economy," CESifo Working Paper Series 11444, CESifo.
    113. Barrios, John M. & Hochberg, Yael V. & Yi, Hanyi, 2018. "The Cost of Convenience: Ridesharing and Traffic Fatalities," Working Papers 282, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State.
    114. DUCH BROWN Nestor & GOMEZ-HERRERA Estrella & MUELLER-LANGER Frank & TOLAN Songul, 2022. "Market Power and Artificial Intelligence Work on Online Labour Markets," JRC Working Papers on Digital Economy 2021-10, Joint Research Centre.
    115. Ayomikun Idowu & Amany Elbanna, 2022. "Digital Platforms of Work and the Crafting of Career Path: The Crowdworkers’ Perspective," Information Systems Frontiers, Springer, vol. 24(2), pages 441-457, April.
    116. Hossain, Mokter & Mozahem, Najib Ali, 2022. "Drivers’ perceptions of the sharing economy for transport services," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    117. Weiguang Liu, 2023. "Preference for job diversity, mixed part‐time jobs and voluntary unemployment," Australian Economic Papers, Wiley Blackwell, vol. 62(1), pages 63-77, March.
    118. Mueller-Langer, Frank & Gómez-Herrera, Estrella, 2022. "Mobility restrictions and the substitution between on-site and remote work: Empirical evidence from a European online labour market," Information Economics and Policy, Elsevier, vol. 58(C).
    119. Rong, Jianxin & Wang, Dazhong, 2023. "Contracting in hierarchical platforms," Economics Letters, Elsevier, vol. 226(C).
    120. Shetty, Akhil & Li, Sen & Tavafoghi, Hamidreza & Qin, Junjie & Poolla, Kameshwar & Varaiya, Pravin, 2022. "An analysis of labor regulations for transportation network companies," Economics of Transportation, Elsevier, vol. 32(C).
    121. Peter Q. Blair & Mischa Fisher, 2022. "Does Occupational Licensing Reduce Value Creation on Digital Platforms?," NBER Working Papers 30388, National Bureau of Economic Research, Inc.
    122. Fanfani, Bernardo & Passerini, Filippo, 2024. "Are Alternative Work Arrangements a Substitute for Standard Employment? Evidence from Worker-Level Data," IZA Discussion Papers 17399, Institute of Labor Economics (IZA).
    123. Yang Pan & Liangfei Qiu, 2022. "How Ride‐Sharing Is Shaping Public Transit System: A Counterfactual Estimator Approach," Production and Operations Management, Production and Operations Management Society, vol. 31(3), pages 906-927, March.
    124. Amiya K. Chakravarty, 2021. "Blending Capacity on a Rideshare Platform: Independent and Dedicated Drivers," Production and Operations Management, Production and Operations Management Society, vol. 30(8), pages 2522-2546, August.
    125. Reich, Michael, 2020. "Pay, Passengers and Profits: Effects of Employee Status for California TNC Drivers," Institute for Research on Labor and Employment, Working Paper Series qt86s4249x, Institute of Industrial Relations, UC Berkeley.
    126. Borchert, Kathrin & Hirth, Matthias & Kummer, Michael E. & Laitenberger, Ulrich & Slivko, Olga & Viete, Steffen, 2018. "Unemployment and online labor," ZEW Discussion Papers 18-023, ZEW - Leibniz Centre for European Economic Research.
    127. Tri Minh Cao & Anh Ngoc Pham, 2024. "Generation differences in the gig economy in Vietnam," HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE - ECONOMICS AND BUSINESS ADMINISTRATION, HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE, HO CHI MINH CITY OPEN UNIVERSITY, vol. 14(3), pages 59-76.
    128. Thomas J. Weinandy & Michael J. Ryan, 2021. "Flexible Ubers and Fixed Taxis: the Effect of Fuel Prices on Car Services," Journal of Industry, Competition and Trade, Springer, vol. 21(2), pages 139-168, June.

  3. Jean-Pierre Dubé & Günter J. Hitsch & Peter E. Rossi, 2015. "Income and Wealth Effects on Private-Label Demand: Evidence From the Great Recession," NBER Working Papers 21446, National Bureau of Economic Research, Inc.

    Cited by:

    1. Zare, Samane & Sayed, Saghaian, 2018. "Recession and Income Effect on the Private Label Products Demand: A Case Study of Fluid Milk," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266695, Southern Agricultural Economics Association.
    2. Jibonayan Raychaudhuri & Ada Wossink, 2018. "Ecolabels and The Economic Recession," Economics Discussion Paper Series 1807, Economics, The University of Manchester.
    3. Marta Arce-Urriza & Javier Cebollada, 2018. "Assesing the success of private labels online: differences across categories in the grocery industry," Electronic Commerce Research, Springer, vol. 18(4), pages 719-753, December.
    4. White, Susan & Tregjo-Pech, Carlos & Noguera, Magdy, 2018. "ConAgra Foods: valuing a potential recipe for success," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 21(5).

  4. Jean-Pierre Dubé & Günter J. Hitsch & Peter E. Rossi, 2009. "State Dependence and Alternative Explanations for Consumer Inertia," NBER Working Papers 14912, National Bureau of Economic Research, Inc.

    Cited by:

    1. Bjørn-Atle Reme & Helene Lie Røhr & Morten Sæthre, 2022. "Inattention in Contract Markets: Evidence from a Consolidation of Options in Telecom," Management Science, INFORMS, vol. 68(2), pages 1019-1038, February.
    2. Kevin Dano, 2023. "Transition Probabilities and Moment Restrictions in Dynamic Fixed Effects Logit Models," Papers 2303.00083, arXiv.org, revised Dec 2023.
    3. Karsten Hansen & Kanishka Misra & Robert Evan Sanders, 2024. "Uninformed Choices in Perishables," Marketing Science, INFORMS, vol. 43(4), pages 751-777, July.
    4. Steven T Berry & Giovanni Compiani, 2023. "An Instrumental Variable Approach to Dynamic Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(4), pages 1724-1758.
    5. Scott Morton, Fiona & Ho, Kate & Hogan, Joseph, 2015. "The Impact of Consumer Inattention on Insurer Pricing in the Medicare Part D Program," CEPR Discussion Papers 10976, C.E.P.R. Discussion Papers.
    6. Ali Hortaçsu & Seyed Ali Madanizadeh & Steven L. Puller, 2015. "Power to Choose? An Analysis of Consumer Inertia in the Residential Electricity Market," NBER Working Papers 20988, National Bureau of Economic Research, Inc.
    7. Bronnenberg, Bart & Dube, Jean-Pierre & Sanders, Robert, 2018. "Consumer Misinformation and the Brand Premium: A Private Label Blind Taste Test," CEPR Discussion Papers 13283, C.E.P.R. Discussion Papers.
    8. Drake, Coleman & Ryan, Conor & Dowd, Bryan, 2022. "Sources of inertia in the individual health insurance market," Journal of Public Economics, Elsevier, vol. 208(C).
    9. 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.
    10. Mitsukuni Nishida, 2018. "A Structural Analysis of Entry Order, Performance, and Geography: The Case of the Convenience-Store Industry in Japan," KIER Working Papers 993, Kyoto University, Institute of Economic Research.
    11. Jia, Zhiyang & Vattø, Trine Engh, 2021. "Predicting the path of labor supply responses when state dependence matters," Labour Economics, Elsevier, vol. 71(C).
    12. 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.
    13. Andrés Elberg & Pedro M. Gardete & Rosario Macera & Carlos Noton, 2019. "Dynamic effects of price promotions: field evidence, consumer search, and supply-side implications," Quantitative Marketing and Economics (QME), Springer, vol. 17(1), pages 1-58, March.
    14. Nobuhiko Terui & Shohei Hasegawa & Greg M. Allenby, 2015. "A Threshold Model for Discontinuous Preference Change and Satiation," TMARG Discussion Papers 122, Graduate School of Economics and Management, Tohoku University.
    15. Aljoscha Janssen, 2022. "Price dynamics of Swedish pharmaceuticals," Quantitative Marketing and Economics (QME), Springer, vol. 20(4), pages 313-351, December.
    16. Shakeeb Khan & Fu Ouyang & Elie Tamer, 2020. "Inference on Semiparametric Multinomial Response Models," Discussion Papers Series 627, School of Economics, University of Queensland, Australia.
    17. Maria Polyakova, 2015. "Regulation of Insurance with Adverse Selection and Switching Costs: Evidence from Medicare Part D," NBER Working Papers 21541, National Bureau of Economic Research, Inc.
    18. Nurul Ashykin Abd Aziz & Nurul Aien Abd Aziz & Noreen Noor Abd Aziz & Siti Fariha Muhamad & Afifah Hanim Md Pazil, 2016. "Determining the Factors to Engage in Batik Business: A Study among Batik Entrepreneurs in East Cost Malaysia," International Journal of Management Sciences, Research Academy of Social Sciences, vol. 7(5), pages 273-286.
    19. Guhl, Daniel & Baumgartner, Bernhard & Kneib, Thomas & Steiner, Winfried J., 2018. "Estimating time-varying parameters in brand choice models: A semiparametric approach," International Journal of Research in Marketing, Elsevier, vol. 35(3), pages 394-414.
    20. Mira Frick & Ryota Iijima & Tomasz Strzalecki, 2017. "Dynamic Random Utility," Cowles Foundation Discussion Papers 2092, Cowles Foundation for Research in Economics, Yale University.
    21. Marshall Freimer & Dan Horsky, 2012. "Periodic Advertising Pulsing in a Competitive Market," Marketing Science, INFORMS, vol. 31(4), pages 637-648, July.
    22. Roozbeh Irani-Kermani & Edward C. Jaenicke & Ardalan Mirshani, 2023. "Accommodating heterogeneity in brand loyalty estimation: application to the U.S. beer retail market," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(4), pages 820-835, December.
    23. Genakos, C. & Roumanias, C. & Valletti, T., 2023. "Is Having an Expert "Friend" Enough? An Analysis of Consumer Switching Behavior in Mobile Telephony," Cambridge Working Papers in Economics 2351, Faculty of Economics, University of Cambridge.
    24. Bloomfield, Matthew & Gipper, Brandon & Kepler, John D. & Tsui, David, 2021. "Cost shielding in executive bonus plans," Journal of Accounting and Economics, Elsevier, vol. 72(2).
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    26. João V. Ferreira & Nicolas Gravel, 2017. "Choice with Time," AMSE Working Papers 1729, Aix-Marseille School of Economics, France.
    27. Xiao Liu, 2023. "Dynamic Coupon Targeting Using Batch Deep Reinforcement Learning: An Application to Livestream Shopping," Marketing Science, INFORMS, vol. 42(4), pages 637-658, July.
    28. Lukasz Grzybowski & Ambre Nicolle, 2021. "Estimating Consumer Inertia in Repeated Choices of Smartphones," Journal of Industrial Economics, Wiley Blackwell, vol. 69(1), pages 33-82, March.
    29. Javier D. Donna & Pedro Pereira, 2024. "Structural Presumptions for Non-horizontal Mergers in the 2023 Merger Guidelines: A Primer and a Path Forward," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 65(1), pages 303-345, August.
    30. Conor M. Henderson & Lena Steinhoff & Colleen M. Harmeling & Robert W. Palmatier, 2021. "Customer inertia marketing," Journal of the Academy of Marketing Science, Springer, vol. 49(2), pages 350-373, March.
    31. Xiaoyuan Wang & Yan Liu, 2020. "Explaining Consumer Heterogeneity in Structural State-Dependence," Sustainability, MDPI, vol. 12(7), pages 1-13, March.
    32. Andrew T. Ching & Tülin Erdem & Michael P. Keane, 2013. "Learning Models: An Assessment of Progress, Challenges and New Developments," Economics Papers 2013-W07, Economics Group, Nuffield College, University of Oxford.
    33. Talia Bar & Yuqing Zheng, 2016. "Leniency and Loyalty in the Choice of Certifiers: Evidence from the BRC Food Safety Standard," Working papers 2016-22, University of Connecticut, Department of Economics.
    34. Wilson, Chris M., 2012. "Market frictions: A unified model of search costs and switching costs," European Economic Review, Elsevier, vol. 56(6), pages 1070-1086.
    35. Bart Bronnenberg & Jean-Pierre H. Dubé & Robert E. Sanders, 2018. "Consumer Misinformation and the Brand Premium: A Private Label Blind Taste Test," NBER Working Papers 25214, National Bureau of Economic Research, Inc.
    36. Shakeeb Khan & Fu Ouyang & Elie Tamer, 2019. "Inference on Semiparametric Multinomial Response Models," Boston College Working Papers in Economics 980, Boston College Department of Economics.
    37. Gábor Kézdi & Gergely Csorba, 2013. "Estimating Consumer Lock-In Effects from Firm-Level Data," Journal of Industry, Competition and Trade, Springer, vol. 13(3), pages 431-452, September.
    38. Hong, Seung-Hyun & Rezende, Leonardo, 2012. "Lock-in and unobserved preferences in server operating systems: A case of Linux vs. Windows," Journal of Econometrics, Elsevier, vol. 167(2), pages 494-503.
    39. Jean-Pierre Dubé & Günter J. Hitsch & Peter E. Rossi, 2015. "Income and Wealth Effects on Private-Label Demand: Evidence From the Great Recession," NBER Working Papers 21446, National Bureau of Economic Research, Inc.
    40. Peter Haan & Daniel Kemptner & Arne Uhlendorff, 2015. "Bayesian procedures as a numerical tool for the estimation of an intertemporal discrete choice model," Empirical Economics, Springer, vol. 49(3), pages 1123-1141, November.
    41. Jean-Pierre H. Dube & 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.
    42. Anna E. Tuchman, 2019. "Advertising and Demand for Addictive Goods: The Effects of E-Cigarette Advertising," Marketing Science, INFORMS, vol. 38(6), pages 994-1022, November.
    43. Ernan Haruvy & Peter T. L. Popkowski Leszczyc, 2010. "Search and Choice in Online Consumer Auctions," Marketing Science, INFORMS, vol. 29(6), pages 1152-1164, 11-12.
    44. Steven T. Berry & Philip A. Haile, 2021. "Foundations of Demand Estimation," NBER Working Papers 29305, National Bureau of Economic Research, Inc.
    45. 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.
    46. Arjen van Lin & Els Gijsbrechts, 2019. "“Hello Jumbo!” The Spatio-Temporal Rollout and Traffic to a New Grocery Chain After Acquisition," Management Science, INFORMS, vol. 67(5), pages 2388-2411, May.
    47. Rhodes, Andrew, 2013. "Re-examining the Effects of Switching Costs," MPRA Paper 45982, University Library of Munich, Germany.
    48. Michael P. Keane, 2013. "Panel data discrete choice models of consumer demand," Economics Papers 2013-W08, Economics Group, Nuffield College, University of Oxford.
    49. Konuş, Umut & Neslin, Scott A. & Verhoef, Peter C., 2014. "The effect of search channel elimination on purchase incidence, order size and channel choice," International Journal of Research in Marketing, Elsevier, vol. 31(1), pages 49-64.
    50. Bronnenberg, Bart & Dube, Jean-Pierre & Syverson, Chad, 2022. "Marketing Investment and Intangible Brand Capital," CEPR Discussion Papers 17372, C.E.P.R. Discussion Papers.
    51. Khan, S. & Ponomareva, M. & Tamer, E., 2023. "Identification of dynamic binary response models," Journal of Econometrics, Elsevier, vol. 237(1).
    52. Richards, Timothy J. & Liaukonyte, Jura, 2018. "Switching Cost and Store Choice," 2018 Annual Meeting, August 5-7, Washington, D.C. 274201, Agricultural and Applied Economics Association.
    53. Sebastián Araya & Andrés Elberg & Carlos Noton & Daniel Schwartz, 2022. "Identifying Food Labeling Effects on Consumer Behavior," Marketing Science, INFORMS, vol. 41(5), pages 982-1003, September.
    54. Philippe Aurier & Victor D. Mejía, 2021. "The differing impacts of brand-line breadth and depth on customers’ repurchasing behavior of frequently purchased packaged goods," Journal of the Academy of Marketing Science, Springer, vol. 49(6), pages 1244-1266, November.
    55. Polykarpos Pavlidis & Paul B. Ellickson, 2017. "Implications of parent brand inertia for multiproduct pricing," Quantitative Marketing and Economics (QME), Springer, vol. 15(4), pages 369-407, December.
    56. Marit Hinnosaar, 2023. "The Persistence of Healthy Behaviors in Food Purchasing," Marketing Science, INFORMS, vol. 42(3), pages 521-537, May.
    57. Donna, Javier D., 2018. "Measuring Long-Run Price Elasticities in Urban Travel Demand," MPRA Paper 90059, University Library of Munich, Germany.
    58. Julia Levine & Stephan Seiler, 2023. "Identifying State Dependence in Brand Choice: Evidence from Hurricanes," Marketing Science, INFORMS, vol. 42(5), pages 934-957, September.
    59. Kappe, Eelco & Stadler Blank, Ashley & DeSarbo, Wayne S., 2018. "A random coefficients mixture hidden Markov model for marketing research," International Journal of Research in Marketing, Elsevier, vol. 35(3), pages 415-431.
    60. Ta-Wei Huang & Eva Ascarza, 2024. "Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals," Marketing Science, INFORMS, vol. 43(4), pages 863-884, July.
    61. Cleeren, Kathleen & Geyskens, Kelly & Verhoef, Peter C. & Pennings, Joost M.E., 2016. "Regular or low-fat? An investigation of the long-run impact of the first low-fat purchase on subsequent purchase volumes and calories," International Journal of Research in Marketing, Elsevier, vol. 33(4), pages 896-906.
    62. DeCicca, Philip & Kenkel, Donald & Liu, Feng & Somerville, Jason, 2021. "Quantifying brand loyalty: Evidence from the cigarette market," Journal of Health Economics, Elsevier, vol. 79(C).
    63. Matsumoto, Brett & Spence, Forrest, 2016. "Price beliefs and experience: Do consumers’ beliefs converge to empirical distributions with repeated purchases?," Journal of Economic Behavior & Organization, Elsevier, vol. 126(PA), pages 243-254.
    64. Guy Arie & Paul E. Grieco, 2014. "Who pays for switching costs?," Quantitative Marketing and Economics (QME), Springer, vol. 12(4), pages 379-419, December.
    65. Xiaoyang He & Ralph Siebert, 2021. "Switching Beers? The Effects of Switching Costs on Prices and Profits in Competitive Markets," CESifo Working Paper Series 9065, CESifo.
    66. Janssen, Aljoscha, 2020. "Switching Costs, Brand Premia and Behavioral Pricing in the Pharmaceutical Market," Working Paper Series 1317, Research Institute of Industrial Economics.
    67. Javier D. Donna, 2021. "Measuring long‐run gasoline price elasticities in urban travel demand," RAND Journal of Economics, RAND Corporation, vol. 52(4), pages 945-994, December.
    68. Michael D. Grubb, 2015. "Failing to Choose the Best Price: Theory, Evidence, and Policy," Boston College Working Papers in Economics 878, Boston College Department of Economics.
    69. Savannah Wei Shi & Hai Che & Lang Jin, 2021. "Strategic Product Displays Across Different Assortment Levels," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 8(3), pages 84-101, September.
    70. Koll, Oliver & Plank, Andreas, 2022. "Do shoppers choose the same brand on the next trip when facing the same context? An empirical investigation in FMCG retailing," Journal of Retailing, Elsevier, vol. 98(4), pages 576-592.
    71. Bart J. Bronnenberg & Jean-Pierre H. Dube & Matthew Gentzkow, 2010. "The Evolution of Brand Preferences: Evidence from Consumer Migration," NBER Working Papers 16267, National Bureau of Economic Research, Inc.
    72. Shakeeb Khan & Maria Ponomareva & Elie Tamer, 2019. "Identification of Dynamic Panel Binary Response Models," Boston College Working Papers in Economics 979, Boston College Department of Economics.
    73. Changbiao Liu, 2024. "Estimating dynamic logit models with unobserved individual heterogeneity and with application in household brand choices," Computational and Mathematical Organization Theory, Springer, vol. 30(4), pages 321-349, December.
    74. de Jong, Gerben & Behrens, Christiaan & van Ommeren, Jos, 2019. "Airline loyalty (programs) across borders: A geographic discontinuity approach," International Journal of Industrial Organization, Elsevier, vol. 62(C), pages 251-272.
    75. Wisnicki, Bartlomiej, 2022. "Consumer inertia fosters product quality," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 96(C).
    76. Johann Caro-Burnett & Ahmed Mushfiq Mobarak & Judith A. Chevalier, 2021. "Is Habit a Powerful Policy Instrument to Induce Prosocial Behavioral Change?," Cowles Foundation Discussion Papers 2275, Cowles Foundation for Research in Economics, Yale University.
    77. Chen Zhen & Xiaoyong Zheng, 2020. "The Impact of NuVal Shelf Nutrition Labels on Food Purchase," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 42(4), pages 870-887, December.
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    79. Shin Oblander & Daniel Minh McCarthy, 2023. "Frontiers: Estimating the Long-Term Impact of Major Events on Consumption Patterns: Evidence from COVID-19," Marketing Science, INFORMS, vol. 42(5), pages 839-852, September.
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    81. David Granlund, 2021. "A New Approach to Estimating State Dependence in Consumers’ Brand Choices Applied to 762 Pharmaceutical Markets," Journal of Industrial Economics, Wiley Blackwell, vol. 69(2), pages 443-483, June.
    82. Son, Jungmin & Kim, Jikyung (Jeanne) & Choi, Jeonghye & Kim, Mingyung, 2017. "Linking online niche sales to offline brand conditions," Journal of Business Research, Elsevier, vol. 70(C), pages 74-84.
    83. Cohen, Michael, 2010. "A Structured Covariance Probit Demand Model," Research Reports 149970, University of Connecticut, Food Marketing Policy Center.
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    86. Ashish Arora & Michelle Gittelman & Sarah Kaplan & John Lynch & Will Mitchell & Nicolaj Siggelkow & Denisa Mindruta & Mahka Moeen & Rajshree Agarwal, 2016. "A two-sided matching approach for partner selection and assessing complementarities in partners' attributes in inter-firm alliances," Strategic Management Journal, Wiley Blackwell, vol. 37(1), pages 206-231, January.
    87. Wuepper, David & Clemm, Alexandra & Wree, Philipp, 2019. "The preference for sustainable coffee and a new approach for dealing with hypothetical bias," Journal of Economic Behavior & Organization, Elsevier, vol. 158(C), pages 475-486.
    88. Mantian (Mandy) Hu & Chu (Ivy) Dang & Pradeep K. Chintagunta, 2019. "Search and Learning at a Daily Deals Website," Marketing Science, INFORMS, vol. 38(4), pages 609-642, July.
    89. Adamowicz, Wiktor L. & Swait, Joffre, 2010. "Integrating Routine, Variety Seeking and Compensatory Choice in a Utility Maximizing Framework," Staff Paper Series 98687, University of Alberta, Department of Resource Economics and Environmental Sociology.
    90. Koray Cosguner & Tat Y. Chan & P. B. (Seethu) Seetharaman, 2018. "Dynamic Pricing in a Distribution Channel in the Presence of Switching Costs," Management Science, INFORMS, vol. 64(3), pages 1212-1229, March.
    91. Lee, Hwa Ryung, 2015. "An Empirical Study of the Effect of the Internet on Fares in the U.S. Airline Industry," KDI Journal of Economic Policy, Korea Development Institute (KDI), vol. 37(1), pages 1-18.
    92. Yeo, Jungwon & Miller, Daniel P., 2018. "Estimating switching costs with market share data: an application to Medicare Part D," International Journal of Industrial Organization, Elsevier, vol. 61(C), pages 459-501.
    93. Békési, Dániel & Loy, Jens-Peter & Weiss, Christoph, 2013. "State Dependence and Preference Heterogeneity: The Hand of the Past on Breakfast Cereal Consumption," 87th Annual Conference, April 8-10, 2013, Warwick University, Coventry, UK 158699, Agricultural Economics Society.
    94. Timothy J. Richards & Jura Liaukonytė, 2023. "Switching cost and store choice," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(1), pages 195-218, January.
    95. Sai Chand Chintala & Jūra Liaukonytė & Nathan Yang, 2024. "Browsing the Aisles or Browsing the App? How Online Grocery Shopping is Changing What We Buy," Marketing Science, INFORMS, vol. 43(3), pages 506-522, May.
    96. Okamura, Kazuaki & Islam, Nizamul, 2021. "Multinomial employment dynamics with state dependence and heterogeneity: Evidence from Japan," Economic Modelling, Elsevier, vol. 101(C).
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    98. Ilya Morozov & Stephan Seiler & Xiaojing Dong & Liwen Hou, 2021. "Estimation of Preference Heterogeneity in Markets with Costly Search," Marketing Science, INFORMS, vol. 40(5), pages 871-899, September.
    99. Marco J. W. Kotschedoff & Max J. Pachali, 2020. "Higher Minimum Quality Standards and Redistributive Effects on Consumer Welfare," Marketing Science, INFORMS, vol. 39(1), pages 253-280, January.
    100. In Kyung Kim, 2024. "Consumers' preference for downsizing over package price increases," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 33(1), pages 25-52, January.
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    102. Maniquet, François & Nosratabadi, Hassan, 2022. "Welfare analysis when choice is status-quo biased," Journal of Mathematical Economics, Elsevier, vol. 102(C).
    103. Adithya Pattabhiramaiah & S. Sriram & Shrihari Sridhar, 2018. "Rising Prices Under Declining Preferences: The Case of the U.S. Print Newspaper Industry," Marketing Science, INFORMS, vol. 37(1), pages 97-122, January.
    104. Wesley R. Hartmann & Daniel Klapper, 2018. "Super Bowl Ads," Marketing Science, INFORMS, vol. 37(1), pages 78-96, January.
    105. Tamara Bischof & Michael Gerfin & Tobias Mueller, 2021. "Attention Please! Health Plan Choice and (In-)Attention," Diskussionsschriften dp2111, Universitaet Bern, Departement Volkswirtschaft.
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    121. Tiago Pires, 2016. "Costly search and consideration sets in storable goods markets," Quantitative Marketing and Economics (QME), Springer, vol. 14(3), pages 157-193, September.
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    123. Andrew T. Ching & Tülin Erdem & Michael P. Keane, 2013. "Invited Paper ---Learning Models: An Assessment of Progress, Challenges, and New Developments," Marketing Science, INFORMS, vol. 32(6), pages 913-938, November.
    124. Deuflhard, Florian, 2018. "Quantifying inertia in retail deposit markets," SAFE Working Paper Series 223, Leibniz Institute for Financial Research SAFE.
    125. Timothy J. Richards & Bradley J. Rickard, 2021. "Dynamic model of beer pricing and buyouts," Agribusiness, John Wiley & Sons, Ltd., vol. 37(4), pages 685-712, October.
    126. Peter E. Rossi, 2014. "Invited Paper —Even the Rich Can Make Themselves Poor: A Critical Examination of IV Methods in Marketing Applications," Marketing Science, INFORMS, vol. 33(5), pages 655-672, September.
    127. Granlund, David, 2019. "A new approach to estimating state dependence in consumers’ brand choices applied to 762 pharmaceutical markets," Umeå Economic Studies 960, Umeå University, Department of Economics.
    128. Bernard Caillaud & Romain De Nijs, 2014. "Strategic Loyalty Reward in Dynamic Price Discrimination," Marketing Science, INFORMS, vol. 33(5), pages 725-742, September.
    129. Oliver Rutz & Randolph Bucklin, 2012. "Does banner advertising affect browsing for brands? clickstream choice model says yes, for some," Quantitative Marketing and Economics (QME), Springer, vol. 10(2), pages 231-257, June.
    130. Arthur Fishman & Ziv Hellman & Avi Weiss, 2016. "Investing in Long-Term Customer Relationships," Working Papers 2016-07, Bar-Ilan University, Department of Economics.
    131. van den Bijgaart, Inge, 2016. "Essays in environmental economics and policy," Other publications TiSEM 298bee2a-cb08-4173-9fe1-8, Tilburg University, School of Economics and Management.
    132. Yufeng Huang, 2022. "Tied Goods and Consumer Switching Costs," Marketing Science, INFORMS, vol. 41(1), pages 93-114, January.
    133. 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.
    134. Luo, Jinjing & Moschini, GianCarlo & Perry, Edward D., 2023. "Switching costs in the US seed industry: Technology adoption and welfare impacts," International Journal of Industrial Organization, Elsevier, vol. 89(C).
    135. van den Bijgaart, I.M., 2017. "Too slow a change? Deep habits, consumption shifts and transitory tax," Working Papers in Economics 701, University of Gothenburg, Department of Economics.
    136. Stefan Weiergraeber, 2022. "Network Effects And Switching Costs In The U.S. Wireless Industry," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(2), pages 601-630, May.
    137. Paulo Somaini & Liran Einav, 2013. "A Model of Market Power in Customer Markets," Journal of Industrial Economics, Wiley Blackwell, vol. 61(4), pages 938-986, December.
    138. Verena Schoenmueller & Oded Netzer & Florian Stahl, 2023. "Frontiers: Polarized America: From Political Polarization to Preference Polarization," Marketing Science, INFORMS, vol. 42(1), pages 48-60, January.
    139. K. Sudhir & Nathan Yang, 2014. "Exploiting the Choice-Consumption Mismatch: A New Approach to Disentangle State Dependence and Heterogeneity," Cowles Foundation Discussion Papers 1941, Cowles Foundation for Research in Economics, Yale University.
    140. Perry, Edward & Hennessy, David A. & Moschini, GianCarlo, 2018. "Planting Rates in U.S. Maize: Improved Varieties and Learning," 2018 Annual Meeting, August 5-7, Washington, D.C. 274341, Agricultural and Applied Economics Association.
    141. Guhl, Daniel, 2024. "Tracking time-varying brand equity using household panel data," Journal of Business Research, Elsevier, vol. 182(C).
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  5. Jean-Pierre Dube & Guenter J. Hitsch & Peter Rossi, 2006. "Do Switching Costs Make Markets Less Competitive?," 2006 Meeting Papers 514, Society for Economic Dynamics.

    Cited by:

    1. Janssen, Maarten C.W. & Non, Marielle C., 2008. "Advertising and consumer search in a duopoly model," International Journal of Industrial Organization, Elsevier, vol. 26(1), pages 354-371, January.
    2. Lukasz Grzybowski & Pedro Pereira, 2007. "Merger Simulation in Mobile Telephony in Portugal," Working Papers 07-12, NET Institute, revised Sep 2007.
    3. Omar A. Abdelrahman, 2016. "Credit Card Rates and Consumer Switch: New Evidence," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(12), pages 95-105, December.
    4. Wesley Hartmann & V. Viard, 2008. "Do frequency reward programs create switching costs? A dynamic structural analysis of demand in a reward program," Quantitative Marketing and Economics (QME), Springer, vol. 6(2), pages 109-137, June.
    5. Jason Allen & Robert Clark & Jean-François Houde, 2008. "Market Structure and the Diffusion of E-Commerce: Evidence from the Retail Banking Industry," Staff Working Papers 08-32, Bank of Canada.
    6. Ribeiro, Ricardo, 2010. "Consumer demand for variety: intertemporal effects of consumption, product switching and pricing policies," MPRA Paper 25812, University Library of Munich, Germany.

  6. Peter E. Rossi & Judith A. Chevalier & Anil K. Kashyap, 2002. "Why Don't Prices Rise During Periods of Peak Demand? Evidence from Scanner Data," Yale School of Management Working Papers ysm291, Yale School of Management.

    Cited by:

    1. Davis David E., 2010. "Prices, Promotions, and Supermarket Mergers," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 8(1), pages 1-27, November.
    2. Igal Hendel & Aviv Nevo, 2002. "Sales and Consumer Inventory," NBER Working Papers 9048, National Bureau of Economic Research, Inc.
    3. Kehoe, Patrick & Midrigan, Virgiliu, 2015. "Prices are sticky after all," Journal of Monetary Economics, Elsevier, vol. 75(C), pages 35-53.
    4. Luca Lambertini & Luigi Marattin, 2016. "On Prices' Cyclical Behaviour in Oligopolistic Markets," Working Paper series 16-17, Rimini Centre for Economic Analysis.
    5. Jonker, Nicole & Folkertsma, Carsten & Blijenberg, Harry, 2004. "An empirical analysis of price setting behaviour in the Netherlands in the period 1998-2003 using micro data," Working Paper Series 413, European Central Bank.
    6. K. Sudhir & Pradeep K. Chintagunta & Vrinda Kadiyali, 2005. "Time-Varying Competition," Marketing Science, INFORMS, vol. 24(1), pages 96-109, September.
    7. Alexis Antoniades & Sofronis Clerides & Mingzhi Xu, 2023. "Micro‐responses to shocks: pricing, promotion, and entry," Scandinavian Journal of Economics, Wiley Blackwell, vol. 125(3), pages 584-615, July.
    8. Miao, Chun-Hui, 2010. "Consumer myopia, standardization and aftermarket monopolization," European Economic Review, Elsevier, vol. 54(7), pages 931-946, October.
    9. Li, Chenguang & Sexton, Richard J., 2009. "Impacts of Retailers’ Pricing Strategies for Produce Commodities on Farmer Welfare," 2009 Conference, August 16-22, 2009, Beijing, China 51720, International Association of Agricultural Economists.
    10. Raymond Deneckere & James Peck, 2012. "Dynamic Competition With Random Demand and Costless Search: A Theory of Price Posting," Econometrica, Econometric Society, vol. 80(3), pages 1185-1247, May.
    11. Levy, Daniel & Young, Andrew T., 2004. ""The Real Thing:" Nominal Price Rigidity of the Nickel Coke, 1886-1959," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 36(4 (Specia), pages 765-799.
    12. Baker, Scott R. & Johnson, Stephanie & Kueng, Lorenz, 2024. "Financial returns to household inventory management," Journal of Financial Economics, Elsevier, vol. 151(C).
    13. Levy, Daniel & Lee, Dongwon & Chen, Haipeng (Allan) & Kauffman, Robert & Bergen, Mark, 2007. "Price Points and Price Rigidity," MPRA Paper 1472, University Library of Munich, Germany.
    14. Céline Bonnet & Pierre Dubois, 2010. "Inference on vertical contracts between manufacturers and retailers allowing for nonlinear pricing and resale price maintenance," RAND Journal of Economics, RAND Corporation, vol. 41(1), pages 139-164, March.
    15. Daniel Levy & Georg Muller & Shantanu Dutta & Mark Bergen, 2004. "Holiday Price Rigidity and Cost of Price Adjustment," Macroeconomics 0402019, University Library of Munich, Germany, revised 10 Jun 2005.
    16. Apffelstaedt, Arno & Mechtenberg, Lydia, 2016. "Competition for Context-Sensitive Consumers," MPRA Paper 99509, University Library of Munich, Germany.
    17. Villas-Boas, Sofia B & Hellerstein, Rebecca, 2006. "Identification of Supply Models of Manufacturer and Retailer Oligopoly Pricing," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt9zh144zt, Department of Agricultural & Resource Economics, UC Berkeley.
    18. Richards, Timothy J. & Patterson, Paul M., 2004. "Causes of retail price fixity: an empirical analysis," Journal of Economics and Business, Elsevier, vol. 56(2), pages 117-136.
    19. Midrigan, Virgiliu, 2006. "Menu costs, multi-product firms, and aggregate fluctuations," CFS Working Paper Series 2007/13, Center for Financial Studies (CFS).
    20. Villas-Boas, Sofia B., 2006. "Vertical relationships between manufacturers and retailers: inference with limited data," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt0z26d2v9, Department of Agricultural & Resource Economics, UC Berkeley.
    21. Bunn, Philip & Ellis, Colin, 2011. "How do individual UK consumer prices behave?," Bank of England working papers 438, Bank of England.
    22. Maarten Dossche & Freddy Heylen & Dirk Van den Poel, 2006. "The kinked demand curve and price rigidity : evidence from scanner data," Working Paper Research 99, National Bank of Belgium.
    23. Johannes Ströbel & Joseph Vavra, 2015. "House Prices, Local Demand, and Retail Prices," CESifo Working Paper Series 5607, CESifo.
    24. Hui Li & Kannan Srinivasan, 2019. "Competitive Dynamics in the Sharing Economy: An Analysis in the Context of Airbnb and Hotels," Marketing Science, INFORMS, vol. 38(3), pages 365-391, May.
    25. Cavallari, Lilia, 2022. "The international real business cycle when demand matters," Journal of Macroeconomics, Elsevier, vol. 73(C).
    26. Gijsenberg, Maarten & Nijs, Vincent R., 2018. "Advertising Timing," Research Report 2018004-MARK, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    27. Vira Semenova & Matt Goldman & Victor Chernozhukov & Matt Taddy, 2023. "Inference on heterogeneous treatment effects in high‐dimensional dynamic panels under weak dependence," Quantitative Economics, Econometric Society, vol. 14(2), pages 471-510, May.
    28. Vincent R. Nijs & Shuba Srinivasan & Koen Pauwels, 2007. "Retail-Price Drivers and Retailer Profits," Marketing Science, INFORMS, vol. 26(4), pages 473-487, 07-08.
    29. Eichenbaum, Martin & Rebelo, Sérgio & Jaimovich, Nir, 2008. "Reference Prices and Nominal Rigidities," CEPR Discussion Papers 6709, C.E.P.R. Discussion Papers.
    30. Shouyong Shi, 2013. "Customer Relationship and Sales," Working Papers tecipa-490, University of Toronto, Department of Economics.
    31. Nakamura, Emi & Steinsson, Jón, 2011. "Price setting in forward-looking customer markets," Journal of Monetary Economics, Elsevier, vol. 58(3), pages 220-233.
    32. Awi Federgruen & Joern Meissner, 2009. "Competition under time‐varying demands and dynamic lot sizing costs," Naval Research Logistics (NRL), John Wiley & Sons, vol. 56(1), pages 57-73, February.
    33. Talukdar, Debabrata & Gauri, Dinesh K. & Grewal, Dhruv, 2010. "An Empirical Analysis of the Extreme Cherry Picking Behavior of Consumers in the Frequently Purchased Goods Market," Journal of Retailing, Elsevier, vol. 86(4), pages 336-354.
    34. Kopalle, Praveen & Biswas, Dipayan & Chintagunta, Pradeep K. & Fan, Jia & Pauwels, Koen & Ratchford, Brian T. & Sills, James A., 2009. "Retailer Pricing and Competitive Effects," Journal of Retailing, Elsevier, vol. 85(1), pages 56-70.
    35. Georg Müller & Mark Bergen & Shantanu Dutta & Daniel Levy, 2006. "Private label price rigidity during holiday periods," Post-Print hal-02386962, HAL.
    36. Borota Milicevic, Teodora & Carlsson, Mikael, 2016. "Markups from Inventory Data and Export Intensity," Working Paper Series 2016:9, Uppsala University, Department of Economics.
    37. Chiou, Lesley & Muehlegger, Erich J., 2010. "Consumer Response to Cigarette Excise Tax Changes," Scholarly Articles 4448875, Harvard Kennedy School of Government.
    38. Carman, Hoy F. & Li, Lan & Sexton, Richard J., 2006. "A New Framework for Evaluating Commodity Promotion Programs: What Can We Learn from Disaggregate Data?," 2006 Annual meeting, July 23-26, Long Beach, CA 21229, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    39. Knotek, Edward S., 2024. "The roles of price points and menu costs in price rigidity," Journal of Monetary Economics, Elsevier, vol. 145(C).
    40. Zamani, O. & Bittmann, T. & Loy, J.-P., 2018. "Demand peaks and cost pass-through: a case of Irans's poultry market," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277490, International Association of Agricultural Economists.
    41. Laurent Baudry & Hervé Le Bihan & Patrick Sevestre & Sylvie Tarrieu, 2007. "What do thirteen million price records have to say about consumer price rigidity?," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00279976, HAL.
    42. Pradeep Chintagunta & Jean-Pierre Dubé & Vishal Singh, 2003. "Balancing Profitability and Customer Welfare in a Supermarket Chain," Quantitative Marketing and Economics (QME), Springer, vol. 1(1), pages 111-147, March.
    43. Bernard, Andrew & Redding, Stephen & Schott, Peter, 2006. "Multi-Product Firms and Product Switching," CEPR Discussion Papers 5708, C.E.P.R. Discussion Papers.
    44. Lamiraud, Karine & Stadelmann, Pierre, 2020. "Switching Costs in Competitive Health Insurance Markets: The Role of Insurers’ Pricing Strategies," ESSEC Working Papers WP2004, ESSEC Research Center, ESSEC Business School.
    45. Christian Hellwig & Ariel Burstein, 2007. "Prices and Market Shares in a Menu Cost Model," 2007 Meeting Papers 327, Society for Economic Dynamics.
    46. Pampanini, Rossella & Marchini, Andrea & Diotallevi, Francesco, 2010. "A quantitative analysis of olive oil market in Italy," MPRA Paper 40638, University Library of Munich, Germany.
    47. Chakraborty, Ratula & Dobson, Paul & Seaton, Jonathan S. & Waterson, Michael, 2011. "Pricing in inflationary times- the penny drops," Economic Research Papers 270749, University of Warwick - Department of Economics.
    48. Sourav Ray & Haipeng Allan Chen & Mark Bergen & Daniel Levy, 2006. "Asymmetric Wholesale Pricing: Theory and Evidence," Post-Print hal-02387421, HAL.
    49. Yossi Spiegel & Konrad O. Stahl, 2014. "Industry Structure and Pricing over the Business Cycle," CESifo Working Paper Series 4848, CESifo.
    50. Paul Heidhues & Botond Köszegi, 2004. "The Impact of Consumer Loss Aversion on Pricing," CIG Working Papers SP II 2004-17, Wissenschaftszentrum Berlin (WZB), Research Unit: Competition and Innovation (CIG).
    51. John Galbraith & Greg Tkacz, 2007. "Electronic Transactions as High-Frequency Indicators of Economic Activity," Staff Working Papers 07-58, Bank of Canada.
    52. Guler, Ali Umut, 2021. "Seasonal price effects of mergers," Economics Letters, Elsevier, vol. 209(C).
    53. Bonnet, Céline & Dubois, Pierre & Simioni, Michel, 2006. "Two-Part Tariffs versus Linear Pricing Between Manufacturers and Retailers: Empirical Tests on Differentiated Products Markets," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25685, International Association of Agricultural Economists.
    54. Abe, Naohito & Tonogi, Akiyuki, 2010. "Micro and macro price dynamics in daily data," Journal of Monetary Economics, Elsevier, vol. 57(6), pages 716-728, September.
    55. Emek Basker & Michael Noel, 2007. "The Evolving Food Chain: Competitive Effects of Wal-Mart's Entry into the Supermarket Industry," Working Papers 0712, Department of Economics, University of Missouri.
    56. Etienne Gagnon & David López-Salido, 2020. "Small Price Responses to Large Demand Shocks," Journal of the European Economic Association, European Economic Association, vol. 18(2), pages 792-828.
    57. Dong, Xiao, 2023. "Does seasonal product rotation contribute to countercyclical pricing and cheaper turkeys during Thanksgiving, Christmas, and Easter?," Economics Letters, Elsevier, vol. 225(C).
    58. Klaus Desmet & Stephen Parente, 2012. "The evolution of markets and the revolution of industry: a unified theory of growth," Journal of Economic Growth, Springer, vol. 17(3), pages 205-234, September.
    59. Cavallari, Lilia & Etro, Federico, 2020. "Demand, markups and the business cycle," European Economic Review, Elsevier, vol. 127(C).
    60. Yong Chao & Timothy Derdenger, 2013. "Mixed Bundling in Two-Sided Markets in the Presence of Installed Base Effects," Management Science, INFORMS, vol. 59(8), pages 1904-1926, August.
    61. Ciliberto Federico & Kuminoff Nicolai V, 2010. "Public Policy and Market Competition: How the Master Settlement Agreement Changed the Cigarette Industry," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 10(1), pages 1-46, July.
    62. Pinelopi Koujianou Goldberg & Rebecca Hellerstein, 2013. "A Structural Approach to Identifying the Sources of Local Currency Price Stability," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 80(1), pages 175-210.
    63. Shantanu Dutta & Mark Bergen & Daniel Levy, 2004. "Price Flexibility in Channels of Distribution: Evidence from Scanner Data," Macroeconomics 0402018, University Library of Munich, Germany.
    64. Anil K Kashyap, 2013. "Comment," NBER Macroeconomics Annual, University of Chicago Press, vol. 27(1), pages 293-307.
    65. Snir, Avichai & Levy, Daniel, 2019. "If You Think 9-Ending Prices Are Low, Think Again," MPRA Paper 94469, University Library of Munich, Germany.
    66. Gijsenberg, Maarten J., 2014. "Going for gold: Investigating the (non)sense of increased advertising around major sports events," International Journal of Research in Marketing, Elsevier, vol. 31(1), pages 2-15.
    67. Andrés Blanco, 2021. "Optimal Inflation Target in an Economy with Menu Costs and a Zero Lower Bound," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(3), pages 108-141, July.
    68. Khai Xiang Chiong & Matthew Shum, 2019. "Random Projection Estimation of Discrete-Choice Models with Large Choice Sets," Management Science, INFORMS, vol. 65(1), pages 256-271, January.
    69. Atal, Juan Pablo & Cuesta, Jose Ignacio & Sæthre, Morten, 2018. "Quality Regulation and Competition: Evidence from Pharmaceutical Markets," Research Department working papers 1211, CAF Development Bank Of Latinamerica.
    70. de Paula, Aureo & Hansman, Christopher & Hong, Harrison & Singh, Vishal, 2020. "A Sticky-Price View of Hoarding," CEPR Discussion Papers 14633, C.E.P.R. Discussion Papers.
    71. Levy, Daniel, 2007. "Price Rigidity and Flexibility: New Empirical Evidence," MPRA Paper 2762, University Library of Munich, Germany.
    72. Levin, Andrew T. & Coenen, Günter, 2004. "Identifying the influences of nominal and real rigidities in aggregate price-setting behavior," Working Paper Series 418, European Central Bank.
    73. Bratsiotis, George J. & Robinson, Wayne A., 2016. "Unit Total Costs: An Alternative Marginal Cost Proxy For Inflation Dynamics," Macroeconomic Dynamics, Cambridge University Press, vol. 20(7), pages 1826-1849, October.
    74. Genesove, David & Simhon, Avi, 2008. "Seasonality and the Effect of Advertising on Price," CEPR Discussion Papers 6999, C.E.P.R. Discussion Papers.
    75. Guhl, Daniel, 2019. "Addressing endogeneity in aggregate logit models with time-varying parameters for optimal retail-pricing," European Journal of Operational Research, Elsevier, vol. 277(2), pages 684-698.
    76. Giuliano Galimberti & Lorenzo Nuzzi & Gabriele Soffritti, 2021. "Covariance matrix estimation of the maximum likelihood estimator in multivariate clusterwise linear regression," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(1), pages 235-268, March.
    77. Gabriele Perrone & Gabriele Soffritti, 2023. "Seemingly unrelated clusterwise linear regression for contaminated data," Statistical Papers, Springer, vol. 64(3), pages 883-921, June.
    78. Richards, Timothy & Hamilton, Stephen, 2016. "Retail Market Power in a Shopping Basket Model of Supermarket Competition," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235801, Agricultural and Applied Economics Association.
    79. Koen Pauwels & Shuba Srinivasan, 2004. "Who Benefits from Store Brand Entry?," Marketing Science, INFORMS, vol. 23(3), pages 364-390, July.
    80. Tom S. Lee & I.P.L. Png, 2004. "Loss Leaders: An Indirect Empirical Test," Industrial Organization 0401008, University Library of Munich, Germany.
    81. Dmitry Kulikov, 2015. "Law of One Price in the euro area: an empirical investigation using Nielsen disaggregated price data," Bank of Estonia Working Papers wp2014-10, Bank of Estonia, revised 20 Jan 2015.
    82. Chen, Haipeng (Allan) & Levy, Daniel & Ray, Sourav & Bergen, Mark, 2008. "Asymmetric price adjustment in the small," Journal of Monetary Economics, Elsevier, vol. 55(4), pages 728-737, May.
    83. Peter J. Klenow & Oleksiy Kryvtsov, 2005. "State-Dependent or Time-Dependent Pricing: Does it Matter for Recent U.S. Inflation?," NBER Working Papers 11043, National Bureau of Economic Research, Inc.
    84. Seong‐Hoon Kim & Seongman Moon, 2017. "A Map of Markups: Why We Observe Mixed Behaviors of Markups," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 26(2), pages 529-553, June.
    85. Basker, Emek, 2005. "Selling a cheaper mousetrap: Wal-Mart's effect on retail prices," Journal of Urban Economics, Elsevier, vol. 58(2), pages 203-229, September.
    86. Dora Gicheva & Justine Hastings & Sofia Villas-Boas, 2007. "Revisiting the Income Effect: Gasoline Prices and Grocery Purchases," NBER Working Papers 13614, National Bureau of Economic Research, Inc.
    87. Berck, Peter & Brown, Jennifer & Perloff, Jeffrey M & Villas-Boas, Sofia B., 2007. "Sales: Tests of Theories on Causality and Timing," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt2g56n1jk, Department of Agricultural & Resource Economics, UC Berkeley.
    88. Robert B. Barsky & Mark Bergen & Shantanu Dutta & Daniel Levy, 2003. "What Can the Price Gap between Branded and Private-Label Products Tell Us about Markups?," NBER Chapters, in: Scanner Data and Price Indexes, pages 165-225, National Bureau of Economic Research, Inc.
    89. Shuba Srinivasan & Koen Pauwels & Dominique M. Hanssens & Marnik G. Dekimpe, 2004. "Do Promotions Benefit Manufacturers, Retailers, or Both?," Management Science, INFORMS, vol. 50(5), pages 617-629, May.
    90. Georg Müller & Mark Bergen & Shantanu Dutta & Daniel Levy, 2007. "Non-price rigidity and cost of adjustment," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 28(7), pages 817-832.
    91. James M. MacDonald & Daniel Aaronson, 2006. "How Firms Construct Price Changes: Evidence from Restaurant Responses to Increased Minimum Wages," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(2), pages 292-307.
    92. L. Lambertini & L. Marattin, 2012. "Cartel Stability, Mark-Up Cyclicality and Government Spending Multipliers," Working Papers wp820, Dipartimento Scienze Economiche, Universita' di Bologna.
    93. Patrick J. Kehoe & Virgiliu Midrigan, 2008. "Temporary price changes and the real effects of monetary policy," Working Papers 661, Federal Reserve Bank of Minneapolis.
    94. Laura Birg & Anna Goeddeke, 2016. "Christmas Economics—A Sleigh Ride," Economic Inquiry, Western Economic Association International, vol. 54(4), pages 1980-1984, October.
    95. Lorenz Goette & Rudolf Minsch & Jean-Robert Tyran, 2005. "Micro Evidence on the Adjustment of Sticky-Price Goods: It's How Often, not How Much," Discussion Papers 05-20, University of Copenhagen. Department of Economics.
    96. Hellerstein, Rebecca & Villas-Boas, Sofia Berto, 2006. "Arm's-Length Transactions as a Source of Incomplete Cross-Border Transmission: the Case of Autos," CUDARE Working Papers 7196, University of California, Berkeley, Department of Agricultural and Resource Economics.
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    98. Li, Lan & Carman, Hoy F. & Sexton, Richard J., 2006. "Grocery Retailer Pricing Behavior for California Avocados with Implications for Industry Promotion Strategies," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25494, International Association of Agricultural Economists.
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    100. Berka, Martin & Devereux, Michael B. & Rudolph, Thomas, 2011. "Price setting in a leading Swiss online supermarket," Working Paper Series 18597, Victoria University of Wellington, School of Economics and Finance.
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    104. Bittmann, Thomas & Holzer, Patrick & Loy, Jens-Peter, 2016. "Seasonal Cost Pass-Through In The German Milk Market," 56th Annual Conference, Bonn, Germany, September 28-30, 2016 244779, German Association of Agricultural Economists (GEWISOLA).
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    Cited by:

    1. Tsyplakov, Alexander, 2010. "Revealing the arcane: an introduction to the art of stochastic volatility models," MPRA Paper 25511, University Library of Munich, Germany.
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    7. Manabu Asai & Massimiliano Caporin & Michael McAleer, 2010. "Block Structure Multivariate Stochastic Volatility Models," Working Papers in Economics 10/24, University of Canterbury, Department of Economics and Finance.
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    9. Siddhartha Chib & Yasuhiro Omori & Manabu Asai, 2007. "Multivariate stochastic volatility (Revised in May 2007, Handbook of Financial Time Series (Published in "Handbook of Financial Time Series" (eds T.G. Andersen, R.A. Davis, Jens-Peter Kreiss," CARF F-Series CARF-F-094, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    10. Meddahi, N., 2001. "An Eigenfunction Approach for Volatility Modeling," Cahiers de recherche 2001-29, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    11. Cogley, Timothy W. & Morozov, Sergei & Sargent, Thomas J., 2003. "Bayesian fan charts for UK inflation: Forecasting and sources of uncertainty in an evolving monetary system," CFS Working Paper Series 2003/44, Center for Financial Studies (CFS).
    12. Norberto Rodríguez, 2000. "Bayesian Model Estimation and Selection for the Weekly Colombian Exchange Rate," Borradores de Economia 2060, Banco de la Republica.
    13. Degiannakis, Stavros & Livada, Alexandra & Panas, Epaminondas, 2008. "Rolling-sampled parameters of ARCH and Levy-stable models," MPRA Paper 80464, University Library of Munich, Germany.
    14. Marcellino, Massimiliano & Carriero, Andrea & Clark, Todd, 2012. "Common Drifting Volatility in Large Bayesian VARs," CEPR Discussion Papers 8894, C.E.P.R. Discussion Papers.
    15. Hong, Yongmiao & Linton, Oliver & McCabe, Brendan & Sun, Jiajing, 2022. "A score statistic for testing the presence of a stochastic trend in conditional variances," Economics Letters, Elsevier, vol. 213(C).
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    19. Alexander Tsyplakov, 2010. "Revealing the arcane: an introduction to the art of stochastic volatility models (in Russian)," Quantile, Quantile, issue 8, pages 69-122, July.
    20. Łukasz Kwiatkowski, 2011. "Bayesian Analysis of a Regime Switching In-Mean Effect for the Polish Stock Market," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 3(4), pages 187-219, December.
    21. Jean-Francois Richard & Roman Liesenfeld, 2007. "Classical and Bayesian Analysis of Univariate and Multivariate Stochastic Volatility Models," Working Paper 322, Department of Economics, University of Pittsburgh, revised Jan 2004.
    22. Serda S. Öztürk & Thanasis Stengos, 2017. "A Multivariate Stochastic Volatility Model Applied to a Panel of S&P500 Stocks in Different Industries," International Review of Finance, International Review of Finance Ltd., vol. 17(3), pages 479-490, September.
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    1. Markus Heinrich & Magnus Reif, 2018. "Forecasting using mixed-frequency VARs with time-varying parameters," ifo Working Paper Series 273, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    2. Antonello D’Agostino & Jacopo Cimadomo, 2015. "Combining time-variation and mixed-frequencies: an analysis of government spending multipliers in Italy," Working Papers 7, European Stability Mechanism.
    3. Pajor Anna & Wróblewska Justyna, 2017. "VEC-MSF models in Bayesian analysis of short- and long-run relationships," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(3), pages 1-22, June.
    4. Magnus Reif, 2020. "Macroeconomics, Nonlinearities, and the Business Cycle," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 87.
    5. Manabu Asai & Massimiliano Caporin & Michael McAleer, 2010. "Block Structure Multivariate Stochastic Volatility Models," Working Papers in Economics 10/24, University of Canterbury, Department of Economics and Finance.
    6. Niko Hauzenberger & Florian Huber & Gary Koop, 2020. "Dynamic Shrinkage Priors for Large Time-varying Parameter Regressions using Scalable Markov Chain Monte Carlo Methods," Papers 2005.03906, arXiv.org, revised May 2023.
    7. Jeonggyu Huh, 2018. "Measuring Systematic Risk with Neural Network Factor Model," Papers 1809.04925, arXiv.org.
    8. Legrand, Romain, 2018. "Time-Varying Vector Autoregressions: Efficient Estimation, Random Inertia and Random Mean," MPRA Paper 88925, University Library of Munich, Germany.
    9. Huh, Jeonggyu, 2020. "Measuring systematic risk with neural network factor model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 542(C).
    10. Charles S. Bos, 2008. "Model-based Estimation of High Frequency Jump Diffusions with Microstructure Noise and Stochastic Volatility," Tinbergen Institute Discussion Papers 08-011/4, Tinbergen Institute.
    11. Siddhartha Chib & Yasuhiro Omori & Manabu Asai, 2007. "Multivariate stochastic volatility," CIRJE F-Series CIRJE-F-488, CIRJE, Faculty of Economics, University of Tokyo.

  9. Horowitz, Joel & Keane, Michael & Bolduc, Denis & Divakar, Suresh & Geweke, John & Gonul, Fosun & Hajivassiliou, Vassilis & Koppelman, Frank & Matzkin, Rosa & Rossi, Peter & Ruud, Paul, 1994. "Advances in Random Utility Models," MPRA Paper 53026, University Library of Munich, Germany.

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    1. Harry Joe, 2000. "Inequalities for Random Utility Models, with Applications to Ranking and Subset Choice Data," Methodology and Computing in Applied Probability, Springer, vol. 2(4), pages 359-372, December.
    2. Fridah Chepchirchir & Beatrice W. Muriithi & Jackson Langat & Samira A. Mohamed & Shepard Ndlela & Fathiya M. Khamis, 2021. "Knowledge, Attitude, and Practices on Tomato Leaf Miner, Tuta absoluta on Tomato and Potential Demand for Integrated Pest Management among Smallholder Farmers in Kenya and Uganda," Agriculture, MDPI, vol. 11(12), pages 1-20, December.
    3. Wang, Weiren & Zhou, Mai, 1995. "Iterative Least Squares Estimator of Binary Choice Models: a Semi-Parametric Approach," MPRA Paper 46981, University Library of Munich, Germany.
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    5. Kontogianni, A. & Tourkolias, Ch. & Skourtos, M. & Damigos, D., 2014. "Planning globally, protesting locally: Patterns in community perceptions towards the installation of wind farms," Renewable Energy, Elsevier, vol. 66(C), pages 170-177.

  10. Larry E. Jones & Rodolfo E. Manuelli & Peter E. Rossi, 1993. "On the Optimal Taxation of Capital Income," NBER Working Papers 4525, National Bureau of Economic Research, Inc.

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    6. Aghion, Philippe & Akcigit, Ufuk & Fernández-Villaverde, Jesús, 2012. "Optimal Capital Versus Labor Taxation with Innovation-Led Growth," Scholarly Articles 27755236, Harvard University Department of Economics.
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    1. Steven Tenn, 2006. "Avoiding aggregation bias in demand estimation: A multivariate promotional disaggregation approach," Quantitative Marketing and Economics (QME), Springer, vol. 4(4), pages 383-405, December.
    2. Little, John D. C., 1998. "Integrated measures of sales, merchandising, and distribution," Working papers WP 3997-98., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    3. Barreiro, Jose Manuel & Ruzo, Emilio & Losada, Fernando, 2004. "Modelo logit multinomial y regresion con variables ficticias: una aplicacion regional al sector lacteo," Economic Development 81, University of Santiago de Compostela. Faculty of Economics and Business. Econometrics..
    4. Peter Boatwright & Sanjay Dhar & Peter Rossi, 2004. "The Role of Retail Competition, Demographics and Account Retail Strategy as Drivers of Promotional Sensitivity," Quantitative Marketing and Economics (QME), Springer, vol. 2(2), pages 169-190, June.
    5. Koen Pauwels & Imran Currim & Marnik Dekimpe & Dominique Hanssens & Natalie Mizik & Eric Ghysels & Prasad Naik, 2004. "Modeling Marketing Dynamics by Time Series Econometrics," Marketing Letters, Springer, vol. 15(4), pages 167-183, December.
    6. Siotis, Georges & Martinez Granado, Maite, 2006. "Computing Abuse Related Damages in the Case of New Entry: An Illustration for the Directory Enquiry Services Market," CEPR Discussion Papers 5813, C.E.P.R. Discussion Papers.
    7. Andre Bonfrer & Ernst R. Berndt & Alvin Silk, 2006. "Anomalies in Estimates of Cross-Price Elasticities for Marketing Mix Models: Theory and Empirical Test," NBER Working Papers 12756, National Bureau of Economic Research, Inc.

  12. Peter E. Rossi, 1984. "Comparison of Alternative Functional Forms in Production," Discussion Papers 586, Northwestern University, Center for Mathematical Studies in Economics and Management Science.

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    1. Chalfant, James & White, Kenneth, 1987. "Estimation and Testing in Demand Systems with Concavity Constraints," CUDARE Working Papers 198466, University of California, Berkeley, Department of Agricultural and Resource Economics.
    2. Chalfant, James & Gray, Richard & White, Kenneth, 1989. "Evaluating Prior Beliefs in a Demand System: The Case of Meats Demand in Canada," CUDARE Working Papers 198485, University of California, Berkeley, Department of Agricultural and Resource Economics.
    3. Julian Augusto Casas Herrera & Jhancarlos Gutiérrez-Ayala, 2021. "Territorial Analysis of the Elasticities of Substitution of Production Factors in the Colombian Manufacturing Industry (1992–2018)," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 94, pages 223-255, Enero-Jun.
    4. Drake, Leigh & Simper, Richard, 2002. "Economies of scale in UK building societies: A re-appraisal using an entry/exit model," Journal of Banking & Finance, Elsevier, vol. 26(12), pages 2365-2382.
    5. McAleer, Michael, 1995. "The significance of testing empirical non-nested models," Journal of Econometrics, Elsevier, vol. 67(1), pages 149-171, May.
    6. John K. Ashton & Khac Pham, 2007. "Efficiency and Price Effects of Horizontal Bank Mergers," Working Papers 07-9, Centre for Competition Policy, University of East Anglia.
    7. Maximilian J. B. Hall & Richard Simper, 2013. "Efficiency and competition in Korean banking," Applied Financial Economics, Taylor & Francis Journals, vol. 23(10), pages 881-890, May.
    8. R. Banker & W. Cooper & E. Grifell-Tajté & Jesús Pastor & Paul Wilson & Eduardo Ley & C. Lovell, 1994. "Validation and generalization of DEA and its uses," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 2(2), pages 249-314, December.
    9. Ryu, Hang Keun, 2011. "Subjective model selection rules versus passive model selection rules," Economic Modelling, Elsevier, vol. 28(1), pages 459-472.
    10. Ryu, Hang Keun, 2011. "Subjective model selection rules versus passive model selection rules," Economic Modelling, Elsevier, vol. 28(1-2), pages 459-472, January.
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    12. Nadine Herrard & Yves Le Roux & Yves Surry & . Département d'Ecnomie Et de Sociologie Rurales, Rennes, 1996. "A bayesian analysis of trade in agri-food products : an application to France," Post-Print hal-02354663, HAL.
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    1. Hasanzade, Vüsal & Elshiewy, Ossama & Toporowski, Waldemar, 2022. "Is it just the distance? Consumer preference for geographical and social proximity of food production," Ecological Economics, Elsevier, vol. 200(C).
    2. Nino Hardt & Alex Varbanov & Greg M. Allenby, 2016. "Monetizing Ratings Data for Product Research," Marketing Science, INFORMS, vol. 35(5), pages 713-726, September.
    3. Greg M. Allenby & Jeff Brazell & John R. Howell & Peter E. Rossi, 2014. "Valuation of Patented Product Features," Journal of Law and Economics, University of Chicago Press, vol. 57(3), pages 629-663.
    4. Villas-Boas, Sofia B & Kiesel, Kristin & Berning, Joshua & Chouinard, Hayley & McCluskey, Jill, 2019. "Consumer and Strategic Firm Response to Nutrition Shelf Labels," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt58j648mk, Department of Agricultural & Resource Economics, UC Berkeley.
    5. Weisenfeld, Ursula & Hauerwaas, Antoniya & Elshiewy, Ossama & Halder, Pradipta & Wesseler, Justus & Cingiz, Kutay & Broer, Inge, 2023. "Beyond plastic – Consumers prefer food packaging derived from genetically modified plants," Research Policy, Elsevier, vol. 52(10).
    6. Federico Ciliberto & GianCarlo Moschini & Edward D. Perry, 2019. "Valuing product innovation: genetically engineered varieties in US corn and soybeans," RAND Journal of Economics, RAND Corporation, vol. 50(3), pages 615-644, September.
    7. Elshiewy, Ossama & Peschel, Anne O., 2022. "Internal reference price response across store formats," Journal of Retailing, Elsevier, vol. 98(3), pages 496-509.
    8. Narine Yegoryan & Daniel Guhl & Friederike Paetz, 2023. "When Zeros Count: Confounding in Preference Heterogeneity and Attribute Non-attendance," Rationality and Competition Discussion Paper Series 482, CRC TRR 190 Rationality and Competition.
    9. John R. Hauser & Felix Eggers & Matthew Selove, 2019. "The Strategic Implications of Scale in Choice-Based Conjoint Analysis," Marketing Science, INFORMS, vol. 38(6), pages 1059-1081, November.
    10. Rausch, Theresa Maria & Baier, Daniel & Wening, Stefanie, 2021. "Does sustainability really matter to consumers? Assessing the importance of online shop and apparel product attributes," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    11. Yegoryan, Narine & Guhl, Daniel & Klapper, Daniel, 2018. "Inferring Attribute Non-Attendance Using Eye Tracking in Choice-Based Conjoint Analysis," Rationality and Competition Discussion Paper Series 111, CRC TRR 190 Rationality and Competition.
    12. Marco J. W. Kotschedoff & Max J. Pachali, 2020. "Higher Minimum Quality Standards and Redistributive Effects on Consumer Welfare," Marketing Science, INFORMS, vol. 39(1), pages 253-280, January.
    13. Yegoryan, Narine & Guhl, Daniel & Klapper, Daniel, 2020. "Inferring attribute non-attendance using eye tracking in choice-based conjoint analysis," Journal of Business Research, Elsevier, vol. 111(C), pages 290-304.
    14. Max J. Pachali & Peter Kurz & Thomas Otter, 2020. "How to generalize from a hierarchical model?," Quantitative Marketing and Economics (QME), Springer, vol. 18(4), pages 343-380, December.
    15. YiChun Miriam Liu & Jeff D. Brazell & Greg M. Allenby, 2022. "Non-linear pricing effects in conjoint analysis," Quantitative Marketing and Economics (QME), Springer, vol. 20(4), pages 397-430, December.
    16. Stich, Lucas & Spann, Martin & Schmidt, Klaus M., 2022. "Paying for open access," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 273-286.
    17. Schuster, Emanuel & Spann, Martin, 2024. "Pay today, or delay the pay: Consumer preference for double flat-rate pricing plans," Journal of Business Research, Elsevier, vol. 182(C).
    18. Dong Soo Kim & Roger A. Bailey & Nino Hardt & Greg M. Allenby, 2017. "Benefit-Based Conjoint Analysis," Marketing Science, INFORMS, vol. 36(1), pages 54-69, January.
    19. Denis Sauré & Juan Pablo Vielma, 2019. "Ellipsoidal Methods for Adaptive Choice-Based Conjoint Analysis," Operations Research, INFORMS, vol. 67(2), pages 315-338, March.
    20. Johannes Dahlin & Verena Halbherr & Peter Kurz & Michael Nelles & Carsten Herbes, 2016. "Marketing Green Fertilizers: Insights into Consumer Preferences," Sustainability, MDPI, vol. 8(11), pages 1-15, November.

  2. Greg M. Allenby & Jeff Brazell & John R. Howell & Peter E. Rossi, 2014. "Valuation of Patented Product Features," Journal of Law and Economics, University of Chicago Press, vol. 57(3), pages 629-663.

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    1. Chryssoula Pentheroudakis & Justus A. Baron, 2016. "Licensing Terms of Standard Essential Patents: A Comprehensive Analysis of Cases," JRC Research Reports JRC104068, Joint Research Centre.
    2. Carsten Herbes & Johannes Dahlin & Peter Kurz, 2020. "Consumer Willingness To Pay for Proenvironmental Attributes of Biogas Digestate-Based Potting Soil," Sustainability, MDPI, vol. 12(16), pages 1-19, August.
    3. Baron, Justus, 2020. "Counting standard contributions to measure the value of patent portfolios - A tale of apples and oranges," Telecommunications Policy, Elsevier, vol. 44(3).
    4. Hiller, R. Scott & Savage, Scott J. & Waldman, Donald M., 2018. "Using aggregate market data to estimate patent value: An application to United States smartphones 2010 to 2015," International Journal of Industrial Organization, Elsevier, vol. 60(C), pages 1-31.
    5. YiChun Miriam Liu & Jeff D. Brazell & Greg M. Allenby, 2022. "Non-linear pricing effects in conjoint analysis," Quantitative Marketing and Economics (QME), Springer, vol. 20(4), pages 397-430, December.
    6. Sofia B. Villas‐Boas & Céline Bonnet & James Hilger, 2021. "Random Utility Models, Wine and Experts," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(2), pages 663-681, March.
    7. Kim, Jin-Hyuk & Leung, Tin Cheuk, 2021. "Eliminating digital rights management from the E-book market," Information Economics and Policy, Elsevier, vol. 57(C).
    8. Greg Allenby & Jeff Brazell & John Howell & Peter Rossi, 2014. "Economic valuation of product features," Quantitative Marketing and Economics (QME), Springer, vol. 12(4), pages 421-456, December.

  3. Timothy G. Conley & Christian B. Hansen & Peter E. Rossi, 2012. "Plausibly Exogenous," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 260-272, February.

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    1. Spenkuch, Jörg & Tillmann, Philipp, 2014. "Elite Influence? Religion, Economics, and the Rise of the Nazis," MPRA Paper 54909, University Library of Munich, Germany.
    2. Ariell Reshef & Gianluca Santoni, 2022. "Are Your Labor Shares Set in Beijing? The View through the Lens of Global Value Chains," CESifo Working Paper Series 9835, CESifo.
    3. Borbely, Daniel & Gehrsitz, Markus & McIntyre, Stuart & Rossi, Gennaro & Roy, Graeme, 2021. "Early-Years Multi-Grade Classes and Pupil Attainment," IZA Discussion Papers 14678, Institute of Labor Economics (IZA).
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  4. Greg M. Allenby & Mark J. Garratt & Peter E. Rossi, 2010. "A Model for Trade-Up and Change in Considered Brands," Marketing Science, INFORMS, vol. 29(1), pages 40-56, 01-02.

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    1. Pradeep K. Chintagunta & Harikesh S. Nair, 2011. "Structural Workshop Paper --Discrete-Choice Models of Consumer Demand in Marketing," Marketing Science, INFORMS, vol. 30(6), pages 977-996, November.
    2. Csilla Horváth & Dennis Fok, 2013. "Moderating Factors of Immediate, Gross, and Net Cross-Brand Effects of Price Promotions," Marketing Science, INFORMS, vol. 32(1), pages 127-152, July.
    3. Chandra R. Bhat & Subodh K. Dubey & Mohammad Jobair Bin Alam & Waleed H. Khushefati, 2015. "A New Spatial Multiple Discrete-Continuous Modeling Approach To Land Use Change Analysis," Journal of Regional Science, Wiley Blackwell, vol. 55(5), pages 801-841, November.
    4. Michael Löffler & Reinhold Decker, 2012. "Identifikation und praktische Nutzung von Mustern des Aufwärtskonsums," Schmalenbach Journal of Business Research, Springer, vol. 64(7), pages 722-746, November.
    5. Jianhua Wang & Hanyu Diao & Lulu Tou, 2019. "Research on the Influence Mechanism of Rational Consumers’ Food Safety Supervision Satisfaction," IJERPH, MDPI, vol. 16(5), pages 1-16, March.
    6. Jean-Pierre H. Dubé, 2018. "Microeconometric Models of Consumer Demand," NBER Working Papers 25215, National Bureau of Economic Research, Inc.
    7. Zenetti, German & Klapper, Daniel, 2016. "Advertising Effects Under Consumer Heterogeneity – The Moderating Role of Brand Experience, Advertising Recall and Attitude," Journal of Retailing, Elsevier, vol. 92(3), pages 352-372.
    8. Nobuhiko Terui & Masataka Ban & Greg M. Allenby, 2011. "The Effect of Media Advertising on Brand Consideration and Choice," Marketing Science, INFORMS, vol. 30(1), pages 74-91, 01-02.
    9. Yao, Yao (Alex) & Yang, Sha & Sudhir, K., 2024. "Separating substitution and psychological effects of price with a two-step conjoint approach: Application to luxury goods," International Journal of Research in Marketing, Elsevier, vol. 41(2), pages 344-361.

  5. Jean‐Pierre Dubé & Günter J. Hitsch & Peter E. Rossi, 2010. "State dependence and alternative explanations for consumer inertia," RAND Journal of Economics, RAND Corporation, vol. 41(3), pages 417-445, September.
    See citations under working paper version above.
  6. Jiang, Renna & Manchanda, Puneet & Rossi, Peter E., 2009. "Bayesian analysis of random coefficient logit models using aggregate data," Journal of Econometrics, Elsevier, vol. 149(2), pages 136-148, April.

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    1. Reynaert, Mathias & Verboven, Frank, 2014. "Improving the performance of random coefficients demand models: The role of optimal instruments," Journal of Econometrics, Elsevier, vol. 179(1), pages 83-98.
    2. German Zenetti & Thomas Otter, 2014. "Bayesian estimation of the random coefficients logit from aggregate count data," Quantitative Marketing and Economics (QME), Springer, vol. 12(1), pages 43-84, March.
    3. 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.
    4. Ali Hortacsu & Olivia R. Natan & Hayden Parsley & Timothy Schwieg & Kevin R. Williams, 2021. "Organizational Structure and Pricing: Evidence from a Large U.S. Airline," Cowles Foundation Discussion Papers 2312, Cowles Foundation for Research in Economics, Yale University.
    5. Abidoye, Babatunde Oluwakayode, 2010. "Bayesian inference in modeling recreation demand," ISU General Staff Papers 201001010800002496, Iowa State University, Department of Economics.
    6. Shinya Sugawara, 2013. "Firm-driven Management for Longevity Risk: Analysis of Lump-sum Forward Payments in Japanese Nursing Homes," CIRJE F-Series CIRJE-F-908, CIRJE, Faculty of Economics, University of Tokyo.
    7. Benjamin Reed Shiller, 2013. "Digital distribution and the prohibition of resale markets for information goods," Quantitative Marketing and Economics (QME), Springer, vol. 11(4), pages 403-435, December.
    8. Greg Lewis & Bora Ozaltun & Georgios Zervas, 2021. "Maximum Likelihood Estimation of Differentiated Products Demand Systems," Papers 2111.12397, arXiv.org.
    9. Roozbeh Irani-Kermani & Edward C. Jaenicke & Ardalan Mirshani, 2023. "Accommodating heterogeneity in brand loyalty estimation: application to the U.S. beer retail market," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(4), pages 820-835, December.
    10. Guhl, Daniel, 2019. "Addressing endogeneity in aggregate logit models with time-varying parameters for optimal retail-pricing," European Journal of Operational Research, Elsevier, vol. 277(2), pages 684-698.
    11. 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.
    12. Ali Hortacsu & Olivia R. Natan & Hayden Parsley & Timothy Schwieg & Kevin R. Williams, 2021. "Incorporating Search and Sales Information in Demand Estimation," Cowles Foundation Discussion Papers 2313R1, Cowles Foundation for Research in Economics, Yale University, revised Mar 2023.
    13. 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.
    14. Yiyi Zhou, 2017. "Bayesian Estimation of a Dynamic Model of Two-Sided Markets: Application to the U.S. Video Game Industry," Management Science, INFORMS, vol. 63(11), pages 3874-3894, November.
    15. Klomp, Jeroen, 2010. "Causes of banking crises revisited," The North American Journal of Economics and Finance, Elsevier, vol. 21(1), pages 72-87, March.
    16. Andrés Musalem & Marcelo Olivares & Eric T. Bradlow & Christian Terwiesch & Daniel Corsten, 2010. "Structural Estimation of the Effect of Out-of-Stocks," Management Science, INFORMS, vol. 56(7), pages 1180-1197, July.
    17. Zhentong Lu & Kenichi Shimizu, 2025. "Estimating Discrete Choice Demand Models with Sparse Market-Product Shocks," Papers 2501.02381, arXiv.org.
    18. 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.
    19. Abidoye, Babatunde O. & Herriges, Joseph A. & Tobias, Justin L., 2010. "Controlling for observed and unobserved site characteristics in RUM models of recreation demand," ISU General Staff Papers 201005250700001115, Iowa State University, Department of Economics.
    20. Liu, Hsiu-Wen, 2024. "Mining spatial-temporal patterns from customer data to improve forecasting of customer flow across multiple sites," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    21. Ali Hortacsu & Olivia R. Natan & Hayden Parsley & Timothy Schwieg & Kevin R. Williams, 2021. "Incorporating Search and Sales Information in Demand Estimation," Cowles Foundation Discussion Papers 2313, Cowles Foundation for Research in Economics, Yale University.
    22. Zenetti, German & Klapper, Daniel, 2016. "Advertising Effects Under Consumer Heterogeneity – The Moderating Role of Brand Experience, Advertising Recall and Attitude," Journal of Retailing, Elsevier, vol. 92(3), pages 352-372.
    23. Cohen, Michael, 2010. "Determining the Impact of Retailer Store Brand Procurement on Vertical Relationships with Brand Manufacturers and on Market Equilibrium," Research Reports 149968, University of Connecticut, Food Marketing Policy Center.
    24. Michael A. Cohen, 2013. "A Study of Vertical Integration and Vertical Divestiture: The Case of Store Brand Milk Sourcing in Boston," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 22(1), pages 101-124, March.
    25. Sam K. Hui, 2017. "Understanding repeat playing behavior in casual games using a Bayesian data augmentation approach," Quantitative Marketing and Economics (QME), Springer, vol. 15(1), pages 29-55, March.
    26. Tomohiro Ando, 2018. "Merchant selection and pricing strategy for a platform firm in the online group buying market," Annals of Operations Research, Springer, vol. 263(1), pages 209-230, April.
    27. Ryo Nakajima & Michitaka Sasaki & Ryuichi Tamura, 2020. "Examining Patent Examiners: Present Bias, Procrastination and Task Performance," Keio-IES Discussion Paper Series 2020-015, Institute for Economics Studies, Keio University.
    28. Sugawara, Shinya, 2012. "A nonparametric Bayesian approach for counterfactual prediction with an application to the Japanese private nursing home market," MPRA Paper 42154, University Library of Munich, Germany.
    29. Zenetti, German, 2010. "A Note on 'Bayesian analysis of the random coefficient model using aggregate data', an alternative approach," MPRA Paper 26449, University Library of Munich, Germany.
    30. Fernández-Antolín, Anna & Guevara, C. Angelo & de Lapparent, Matthieu & Bierlaire, Michel, 2016. "Correcting for endogeneity due to omitted attitudes: Empirical assessment of a modified MIS method using RP mode choice data," Journal of choice modelling, Elsevier, vol. 20(C), pages 1-15.
    31. Hernández-Mireles, C. & Fok, D., 2010. "Random Coefficient Logit Model for Large Datasets," ERIM Report Series Research in Management ERS-2010-021-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    32. Sun, Yutec & Ishihara, Masakazu, 2019. "A computationally efficient fixed point approach to dynamic structural demand estimation," Journal of Econometrics, Elsevier, vol. 208(2), pages 563-584.

  7. Chandukala, Sandeep R. & Kim, Jaehwan & Otter, Thomas & Rossi, Peter E. & Allenby, Greg M., 2008. "Choice Models in Marketing: Economic Assumptions, Challenges and Trends," Foundations and Trends(R) in Marketing, now publishers, vol. 2(2), pages 97-184, September.

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    2. Shuyu Zhou & Yeming (Yale) Gong & René de Koster, 2016. "Designing self-storage warehouses with customer choice," International Journal of Production Research, Taylor & Francis Journals, vol. 54(10), pages 3080-3104, May.
    3. Oliver Meixner & Felix Katt, 2020. "Assessing the Impact of COVID-19 on Consumer Food Safety Perceptions—A Choice-Based Willingness to Pay Study," Sustainability, MDPI, vol. 12(18), pages 1-18, September.
    4. Bernhard Baumgartner & Daniel Guhl & Thomas Kneib & Winfried J. Steiner, 2018. "Flexible estimation of time-varying effects for frequently purchased retail goods: a modeling approach based on household panel data," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 40(4), pages 837-873, October.
    5. Lim, Jooyoung & Hahn, Minhi, 2020. "Regulatory focus and decision rules: Are prevention-focused consumers regret minimizers?," Journal of Business Research, Elsevier, vol. 120(C), pages 343-350.
    6. Marcel Fritz & Christian Schlereth & Stefan Figge, 2011. "Empirical Evaluation of Fair Use Flat Rate Strategies for Mobile Internet," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 3(5), pages 269-277, October.
    7. Hui Li, 2019. "Intertemporal Price Discrimination with Complementary Products: E-Books and E-Readers," Management Science, INFORMS, vol. 67(6), pages 2665-2694, June.
    8. Vivek F. Farias & Srikanth Jagabathula & Devavrat Shah, 2013. "A Nonparametric Approach to Modeling Choice with Limited Data," Management Science, INFORMS, vol. 59(2), pages 305-322, December.
    9. Roman Inderst & Martin Obradovits, 2020. "Competitive Strategies when Consumers are Relative Thinkers: Implications for Pricing, Promotions, and Product Choice," Working Papers 2020-25, Faculty of Economics and Statistics, Universität Innsbruck.
    10. Lee, Sanghak & Kim, Hyowon & Kim, Jaehwan & Allenby, Greg M., 2018. "A choice model for mixed decision variables," Journal of choice modelling, Elsevier, vol. 28(C), pages 82-96.
    11. Meixner, Oliver & Nieschalk, Richard & Haas, Rainer, . "Microalgae-based Food: Consumer Perception and Willingness to Pay in Austria—a Discrete Choice Based Experiment," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 14(04).
    12. Kabbashi M. Suliman, 2013. "Factors Affecting the Choice of Households’ Primary Cooking Fuel in Sudan," Working Papers 760, Economic Research Forum, revised Jun 2013.
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    15. Ali Aouad & Danny Segev, 2021. "Display Optimization for Vertically Differentiated Locations Under Multinomial Logit Preferences," Management Science, INFORMS, vol. 67(6), pages 3519-3550, June.
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    17. Schlereth, Christian & Skiera, Bernd & Schulz, Fabian, 2018. "Why do consumers prefer static instead of dynamic pricing plans? An empirical study for a better understanding of the low preferences for time-variant pricing plans," European Journal of Operational Research, Elsevier, vol. 269(3), pages 1165-1179.
    18. Sanghak Lee & Greg M. Allenby, 2014. "Modeling Indivisible Demand," Marketing Science, INFORMS, vol. 33(3), pages 364-381, May.
    19. Yao, Yao (Alex) & Yang, Sha & Sudhir, K., 2024. "Separating substitution and psychological effects of price with a two-step conjoint approach: Application to luxury goods," International Journal of Research in Marketing, Elsevier, vol. 41(2), pages 344-361.

  8. Jean-Pierre Dubé & Günter J. Hitsch & Peter E. Rossi & Maria Ana Vitorino, 2008. "Category Pricing with State-Dependent Utility," Marketing Science, INFORMS, vol. 27(3), pages 417-429, 05-06.

    Cited by:

    1. Adam N. Smith & Stephan Seiler & Ishant Aggarwal, 2023. "Optimal Price Targeting," Marketing Science, INFORMS, vol. 42(3), pages 476-499, May.
    2. Omar Vila & Sundar Bharadwaj & S. Bahadir, 2015. "Exploration- and Exploitation-Oriented Marketing Strategies and Sales Growth in Emerging Markets," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 2(4), pages 277-289, December.
    3. 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.
    4. Martinovici, A., 2019. "Revealing attention - how eye movements predict brand choice and moment of choice," Other publications TiSEM 7dca38a5-9f78-4aee-bd81-c, Tilburg University, School of Economics and Management.
    5. Kopalle, Praveen & Biswas, Dipayan & Chintagunta, Pradeep K. & Fan, Jia & Pauwels, Koen & Ratchford, Brian T. & Sills, James A., 2009. "Retailer Pricing and Competitive Effects," Journal of Retailing, Elsevier, vol. 85(1), pages 56-70.
    6. Jean‐Pierre Dubé & Günter J. Hitsch & Peter E. Rossi, 2010. "State dependence and alternative explanations for consumer inertia," RAND Journal of Economics, RAND Corporation, vol. 41(3), pages 417-445, September.
    7. Guhl, Daniel & Baumgartner, Bernhard & Kneib, Thomas & Steiner, Winfried J., 2018. "Estimating time-varying parameters in brand choice models: A semiparametric approach," International Journal of Research in Marketing, Elsevier, vol. 35(3), pages 394-414.
    8. Roozbeh Irani-Kermani & Edward C. Jaenicke & Ardalan Mirshani, 2023. "Accommodating heterogeneity in brand loyalty estimation: application to the U.S. beer retail market," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(4), pages 820-835, December.
    9. Sinitsyn, Maxim, 2009. "Price dispersion in duopolies with heterogeneous consumers," International Journal of Industrial Organization, Elsevier, vol. 27(2), pages 197-205, March.
    10. Guhl, Daniel, 2019. "Addressing endogeneity in aggregate logit models with time-varying parameters for optimal retail-pricing," European Journal of Operational Research, Elsevier, vol. 277(2), pages 684-698.
    11. Mateusz Mysliwski & Fabio M. Sanches & Daniel Silva Junior & Sorawoot Srisuma, 2020. "The Welfare Effects of Promotional Fees," CeMMAP working papers CWP35/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    12. Michel Wedel & Jie Zhang & Fred Feinberg, 2015. "Implementing Retail Category Management: a Model-Based Approach to Setting Optimal Markups," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 2(2), pages 165-176, June.
    13. Ernan Haruvy & Peter T. L. Popkowski Leszczyc, 2010. "Search and Choice in Online Consumer Auctions," Marketing Science, INFORMS, vol. 29(6), pages 1152-1164, 11-12.
    14. Rajesh Kumar Bhaskaran & Koyilathumpaday Sukumaran Sujit & Kareem Abdul Waheed, 2023. "Linkage Between Brand Value and Firm Performance: An Empirical Examination Using Fuzzy Set Qualitative Comparative Analysis," SAGE Open, , vol. 13(3), pages 21582440231, August.
    15. Polykarpos Pavlidis & Paul B. Ellickson, 2017. "Implications of parent brand inertia for multiproduct pricing," Quantitative Marketing and Economics (QME), Springer, vol. 15(4), pages 369-407, December.
    16. Julia Levine & Stephan Seiler, 2023. "Identifying State Dependence in Brand Choice: Evidence from Hurricanes," Marketing Science, INFORMS, vol. 42(5), pages 934-957, September.
    17. Justus Haucap & Ulrich Heimeshoff & Gordon J. Klein & Dennis Rickert & Christian Wey, 2020. "Vertical Relations, Pass-through, and Market Definition: Evidence from Grocery Retailing," CESifo Working Paper Series 8700, CESifo.
    18. Jimmy Q. Li & Paat Rusmevichientong & Duncan Simester & John N. Tsitsiklis & Spyros I. Zoumpoulis, 2015. "The Value of Field Experiments," Management Science, INFORMS, vol. 61(7), pages 1722-1740, July.
    19. Sangwoo Shin & Sanjog Misra & Dan Horsky, 2012. "Disentangling Preferences and Learning in Brand Choice Models," Marketing Science, INFORMS, vol. 31(1), pages 115-137, January.
    20. Adam N. Smith & Stephan Seiler & Ishant Aggarwal, 2021. "Optimal Price Targeting," CESifo Working Paper Series 9439, CESifo.
    21. Adam N. Smith & Peter E. Rossi & Greg M. Allenby, 2019. "Inference for Product Competition and Separable Demand," Marketing Science, INFORMS, vol. 38(4), pages 690-710, July.
    22. Koray Cosguner & Tat Y. Chan & P. B. (Seethu) Seetharaman, 2018. "Dynamic Pricing in a Distribution Channel in the Presence of Switching Costs," Management Science, INFORMS, vol. 64(3), pages 1212-1229, March.
    23. Ilya Morozov & Stephan Seiler & Xiaojing Dong & Liwen Hou, 2021. "Estimation of Preference Heterogeneity in Markets with Costly Search," Marketing Science, INFORMS, vol. 40(5), pages 871-899, September.
    24. Adithya Pattabhiramaiah & S. Sriram & Shrihari Sridhar, 2018. "Rising Prices Under Declining Preferences: The Case of the U.S. Print Newspaper Industry," Marketing Science, INFORMS, vol. 37(1), pages 97-122, January.
    25. Max J. Pachali & Peter Kurz & Thomas Otter, 2020. "How to generalize from a hierarchical model?," Quantitative Marketing and Economics (QME), Springer, vol. 18(4), pages 343-380, December.
    26. Grewal, Dhruv & Ailawadi, Kusum L. & Gauri, Dinesh & Hall, Kevin & Kopalle, Praveen & Robertson, Jane R., 2011. "Innovations in Retail Pricing and Promotions," Journal of Retailing, Elsevier, vol. 87(S1), pages 43-52.
    27. K. Sudhir & Nathan Yang, 2014. "Exploiting the Choice-Consumption Mismatch: A New Approach to Disentangle State Dependence and Heterogeneity," Cowles Foundation Discussion Papers 1941, Cowles Foundation for Research in Economics, Yale University.
    28. Rickert, Dennis, 2016. "Consumer state dependence, switching costs, and forward-looking producers. A dynamic discrete choice model applied to the diaper market," VfS Annual Conference 2016 (Augsburg): Demographic Change 145672, Verein für Socialpolitik / German Economic Association.
    29. Benjamin R. Handel & Jonathan T. Kolstad, 2013. "Health Insurance for "Humans": Information Frictions, Plan Choice, and Consumer Welfare," NBER Working Papers 19373, National Bureau of Economic Research, Inc.

  9. Conley, Timothy G. & Hansen, Christian B. & McCulloch, Robert E. & Rossi, Peter E., 2008. "A semi-parametric Bayesian approach to the instrumental variable problem," Journal of Econometrics, Elsevier, vol. 144(1), pages 276-305, May.

    Cited by:

    1. Mark J. Jensen & John M. Maheu, 2008. "Bayesian semiparametric stochastic volatility modeling," FRB Atlanta Working Paper 2008-15, Federal Reserve Bank of Atlanta.
    2. Bradlow, Eric T. & Gangwar, Manish & Kopalle, Praveen & Voleti, Sudhir, 2017. "The Role of Big Data and Predictive Analytics in Retailing," Journal of Retailing, Elsevier, vol. 93(1), pages 79-95.
    3. Didier Nibbering, 2023. "A High-dimensional Multinomial Logit Model," Monash Econometrics and Business Statistics Working Papers 19/23, Monash University, Department of Econometrics and Business Statistics.
    4. Matthew J. Salois & Kelvin G. Balcombe, 2015. "A Generalized Bayesian Instrumental Variable Approach under Student t-distributed Errors with Application," Manchester School, University of Manchester, vol. 83(5), pages 499-522, September.
    5. Li, Mingliang & Tobias, Justin L., 2011. "Bayesian inference in a correlated random coefficients model: Modeling causal effect heterogeneity with an application to heterogeneous returns to schooling," Journal of Econometrics, Elsevier, vol. 162(2), pages 345-361, June.
    6. Mark J. Jensen & John M. Maheu, 2014. "Risk, Return and Volatility Feedback: A Bayesian Nonparametric Analysis," Working Paper series 31_14, Rimini Centre for Economic Analysis.
    7. Martin Halla & Martina Zweimüller, 2014. "Parental Response to Early Human Capital Shocks: Evidence from the Chernobyl Accident," NRN working papers 2014-01, The Austrian Center for Labor Economics and the Analysis of the Welfare State, Johannes Kepler University Linz, Austria.
    8. Ryo Kato & Takahiro Hoshino, 2018. "Semiparametric Bayes Instrumental Variable Estimation with Many Weak Instruments," Discussion Paper Series DP2018-14, Research Institute for Economics & Business Administration, Kobe University.
    9. Martin Burda & Matthew C. Harding & Jerry Hausman, 2008. "A Bayesian mixed logit-probit model for multinomial choice," CeMMAP working papers CWP23/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    10. Xin Jin & John M. Maheu, 2014. "Bayesian Semiparametric Modeling of Realized Covariance Matrices," Working Paper series 34_14, Rimini Centre for Economic Analysis.
    11. Ramírez–Hassan, Andrés & López-Vera, Alejandro, 2024. "Welfare implications of a tax on electricity: A semi-parametric specification of the incomplete EASI demand system," Energy Economics, Elsevier, vol. 131(C).
    12. Andr'es Ram'irez-Hassan & Alejandro L'opez-Vera, 2021. "Semi-parametric estimation of the EASI model: Welfare implications of taxes identifying clusters due to unobserved preference heterogeneity," Papers 2109.07646, arXiv.org.
    13. Sudhir Voleti & Praveen K. Kopalle & Pulak Ghosh, 2015. "An Interproduct Competition Model Incorporating Branding Hierarchy and Product Similarities Using Store-Level Data," Management Science, INFORMS, vol. 61(11), pages 2720-2738, November.
    14. Sjoerd van den Hauwe & Richard Paap & Dick J.C. van Dijk, 2011. "An Alternative Bayesian Approach to Structural Breaks in Time Series Models," Tinbergen Institute Discussion Papers 11-023/4, Tinbergen Institute.
    15. Nalan Basturk & Cem Cakmakli & S. Pinar Ceyhan & Herman K. van Dijk, 2014. "On the Rise of Bayesian Econometrics after Cowles Foundation Monographs 10, 14," Tinbergen Institute Discussion Papers 14-085/III, Tinbergen Institute, revised 04 Sep 2014.
    16. Manuel Wiesenfarth & Carlos Matías Hisgen & Thomas Kneib & Carmen Cadarso-Suarez, 2012. "Bayesian Nonparametric Instrumental Variable Regression based on Penalized Splines and Dirichlet Process Mixtures," Courant Research Centre: Poverty, Equity and Growth - Discussion Papers 127, Courant Research Centre PEG.
    17. Pelenis, Justinas, 2014. "Bayesian regression with heteroscedastic error density and parametric mean function," Journal of Econometrics, Elsevier, vol. 178(P3), pages 624-638.
    18. Yang Li & Asim Ansari, 2014. "A Bayesian Semiparametric Approach for Endogeneity and Heterogeneity in Choice Models," Management Science, INFORMS, vol. 60(5), pages 1161-1179, May.
    19. Njuki, Eric & Bravo-Ureta, Boris, 2014. "A Bayesian Approach to Analyzing the Economic Costs of Environmental Regulation in U.S. Dairy Farming," Working Papers 33, University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy.
    20. Arnold Zellner & Tomohiro Ando & Nalan Baştük & Lennart Hoogerheide & Herman K. van Dijk, 2014. "Bayesian Analysis of Instrumental Variable Models: Acceptance-Rejection within Direct Monte Carlo," Econometric Reviews, Taylor & Francis Journals, vol. 33(1-4), pages 3-35, June.
    21. Sylvia Frühwirth-Schnatter & Martin Halla & Alexandra Posekany & Gerald J. Pruckner & Thomas Schober, 2014. "The Quantity and Quality of Children: A Semi-Parametric Bayesian IV Approach," Economics working papers 2014-03, Department of Economics, Johannes Kepler University Linz, Austria.
    22. Nalan Basturk & Cem Cakmakli & S. Pinar Ceyhan & Herman K. van Dijk, 2013. "Historical Developments in Bayesian Econometrics after Cowles Foundation Monographs 10, 14," Tinbergen Institute Discussion Papers 13-191/III, Tinbergen Institute.
    23. Haoyan Sun & Jianqing Chen & Ming Fan, 2021. "Effect of Live Chat on Traffic‐to‐Sales Conversion: Evidence from an Online Marketplace," Production and Operations Management, Production and Operations Management Society, vol. 30(5), pages 1201-1219, May.
    24. Marcus L. Nascimento & Kelly C. M. Gonçalves & Mario Jorge Mendonça, 2023. "Spatio-Temporal Instrumental Variables Regression with Missing Data: A Bayesian Approach," Computational Economics, Springer;Society for Computational Economics, vol. 62(1), pages 29-47, June.
    25. Andros Kourtellos & Alex Lenkoski & Kyriakos Petrou, 2017. "Measuring the Strength of the Theories of Government Size," University of Cyprus Working Papers in Economics 11-2017, University of Cyprus Department of Economics.
    26. Didier Nibbering, 2019. "A High-dimensional Multinomial Choice Model," Monash Econometrics and Business Statistics Working Papers 19/19, Monash University, Department of Econometrics and Business Statistics.
    27. Chuanming Gao & Kajal Lahiri, 2019. "A Comparison of Some Bayesian and Classical Procedures for Simultaneous Equation Models with Weak Instruments," Econometrics, MDPI, vol. 7(3), pages 1-28, July.
    28. van Hasselt, Martijn, 2011. "Bayesian inference in a sample selection model," Journal of Econometrics, Elsevier, vol. 165(2), pages 221-232.
    29. Sudhir Voleti & Pulak Ghosh, 2013. "A robust approach to measure latent, time-varying equity in hierarchical branding structures," Quantitative Marketing and Economics (QME), Springer, vol. 11(3), pages 289-319, September.
    30. Jiang, Renna & Manchanda, Puneet & Rossi, Peter E., 2009. "Bayesian analysis of random coefficient logit models using aggregate data," Journal of Econometrics, Elsevier, vol. 149(2), pages 136-148, April.
    31. Jean-Pierre H. Dubé, 2018. "Microeconometric Models of Consumer Demand," NBER Working Papers 25215, National Bureau of Economic Research, Inc.
    32. Cogley, Timothy & Startz, Richard, 2012. "Bayesian IV: the normal case with multiple endogenous variables," University of California at Santa Barbara, Economics Working Paper Series qt40v0x246, Department of Economics, UC Santa Barbara.
    33. Pelenis, Justinas, 2012. "Bayesian Semiparametric Regression," Economics Series 285, Institute for Advanced Studies.
    34. Ruochen Wu & Melvyn Weeks, 2020. "A Semi-Parametric Bayesian Generalized Least Squares Estimator," Papers 2011.10252, arXiv.org, revised Jan 2023.
    35. Dyevre, Arthur & Lampach, Nicolas, 2018. "The origins of regional integration: Untangling the effect of trade on judicial cooperation," International Review of Law and Economics, Elsevier, vol. 56(C), pages 122-133.
    36. Nascimento, Marcus Gerardus Lavagnole & Abanto-Valle, Carlos Antonio & Mendonça, Mario Jorge, 2019. "Multivariate Spatial IV Regression," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 38(2), January.
    37. Ben Deaner, 2019. "Nonparametric Instrumental Variables Estimation Under Misspecification," Papers 1901.01241, arXiv.org, revised Dec 2022.
    38. Pogonyi, Csaba G. & Graham, Daniel J. & Carbo, Jose M., 2021. "Metros, agglomeration and displacement. Evidence from London," Regional Science and Urban Economics, Elsevier, vol. 90(C).
    39. Nomen Nescio, 2013. "Nomen Nescio," Tinbergen Institute Discussion Papers 12-095 not issued, Tinbergen Institute.
    40. Martin Burda & Artem Prokhorov, 2012. "Copula Based Factorization in Bayesian Multivariate Infinite Mixture Models," Working Papers 12012, Concordia University, Department of Economics.
    41. Cameron McIntosh, 2014. "The presence of an error term does not preclude causal inference in regression: a comment on Krause (2012)," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(1), pages 243-250, January.
    42. Eoghan O'Neill, 2022. "Type I Tobit Bayesian Additive Regression Trees for Censored Outcome Regression," Papers 2211.07506, arXiv.org, revised Feb 2024.
    43. Ryo Kato & Takahiro Hoshino, 2020. "Semiparametric Bayesian Instrumental Variables Estimation for Nonignorable Missing Instruments," Discussion Paper Series DP2020-06, Research Institute for Economics & Business Administration, Kobe University.
    44. Anupriya & Daniel J. Graham & Daniel Horcher & Prateek Bansal, 2021. "Revisiting the empirical fundamental relationship of traffic flow for highways using a causal econometric approach," Papers 2104.02399, arXiv.org.
    45. Cem Çakmakli, 2012. "Bayesian Semiparametric Dynamic Nelson-Siegel Model," Working Paper series 59_12, Rimini Centre for Economic Analysis, revised Sep 2012.
    46. Han, Yufeng, 2012. "State uncertainty in stock markets: How big is the impact on the cost of equity?," Journal of Banking & Finance, Elsevier, vol. 36(9), pages 2575-2592.
    47. Tao Sun, 2024. "Bundle Choice Model with Endogenous Regressors: An Application to Soda Tax," Papers 2412.05794, arXiv.org.

  10. Allenby, Greg M. & Rossi, Peter E., 2008. "Teaching Bayesian Statistics to Marketing and Business Students," The American Statistician, American Statistical Association, vol. 62, pages 195-198, August.

    Cited by:

    1. Boesch Irene & Weber Michael, 2012. "Processor's Preferences and Basic Differentiation Strategies for Potatoes, Milk, and Wheat in Switzerland," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 10(1), pages 1-24, October.

  11. Kim, Jaehwan & Allenby, Greg M. & Rossi, Peter E., 2007. "Product attributes and models of multiple discreteness," Journal of Econometrics, Elsevier, vol. 138(1), pages 208-230, May.

    Cited by:

    1. Pradeep K. Chintagunta & Harikesh S. Nair, 2011. "Structural Workshop Paper --Discrete-Choice Models of Consumer Demand in Marketing," Marketing Science, INFORMS, vol. 30(6), pages 977-996, November.
    2. Arthur Lewbel & Lars Nesheim, 2019. "Sparse demand systems: corners and complements," CeMMAP working papers CWP45/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. César García-Díaz & Gábor Péli & Arjen van Witteloostuijn, 2020. "The coevolution of the firm and the product attribute space," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-25, June.
    4. Wei‐Lin Wang & Demetrios Vakratsas, 2021. "The Dual Impact of Product Line Length on Consumer Choice," Production and Operations Management, Production and Operations Management Society, vol. 30(9), pages 3054-3072, September.
    5. Raghuram Iyengar & Kamel Jedidi & Skander Essegaier & Peter J. Danaher, 2011. "The Impact of Tariff Structure on Customer Retention, Usage, and Profitability of Access Services," Marketing Science, INFORMS, vol. 30(5), pages 820-836, September.
    6. Ivaldi, Marc & Batarce, Marco, 2011. "Travel Demand Model with Heterogeneous Users and Endogenous Congestion: An application to optimal pricing of bus services," CEPR Discussion Papers 8416, C.E.P.R. Discussion Papers.
    7. Kim, Youngju & Hardt, Nino & Kim, Jaehwan & Allenby, Greg M., 2022. "Conjunctive screening in models of multiple discreteness," International Journal of Research in Marketing, Elsevier, vol. 39(4), pages 1209-1234.
    8. Lynd Bacon & Peter Lenk, 2012. "Augmenting discrete-choice data to identify common preference scales for inter-subject analyses," Quantitative Marketing and Economics (QME), Springer, vol. 10(4), pages 453-474, December.
    9. Cheng, Yu-Tong & Lavieri, Patrícia S. & Luiza Santos de Sá, Ana & Astroza, Sebastian, 2024. "Investigating the effects of ICT evolution and the COVID-19 pandemic on the spatio-temporal fragmentation of work activities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 187(C).
    10. Takuya Satomura & Jaehwan Kim & Greg M. Allenby, 2011. "Multiple-Constraint Choice Models with Corner and Interior Solutions," Marketing Science, INFORMS, vol. 30(3), pages 481-490, 05-06.
    11. Kim, Chul & Smith, Adam N. & Kim, Jaehwan & Allenby, Greg M., 2023. "Outside good utility and substitution patterns in direct utility models," Journal of choice modelling, Elsevier, vol. 49(C).
    12. Dong Soo Kim & Roger A. Bailey & Nino Hardt & Greg M. Allenby, 2017. "Benefit-Based Conjoint Analysis," Marketing Science, INFORMS, vol. 36(1), pages 54-69, January.
    13. Heiman, Amir & Lowengart, Oded, 2008. "The effect of information about health hazards on demand for frequently purchased commodities," International Journal of Research in Marketing, Elsevier, vol. 25(4), pages 310-318.
    14. Edward J. Fox & Hristina Pulgar & John H. Semple, 2024. "Testing a theory of strategic multi-product choice," Quantitative Marketing and Economics (QME), Springer, vol. 22(3), pages 257-289, September.

  12. Pradeep Chintagunta & Tülin Erdem & Peter E. Rossi & Michel Wedel, 2006. "Structural Modeling in Marketing: Review and Assessment," Marketing Science, INFORMS, vol. 25(6), pages 604-616, 11-12.

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    1. Schröder, Nadine & Hruschka, Harald, 2016. "Investigating the effects of mailing variables and endogeneity on mailing decisions," European Journal of Operational Research, Elsevier, vol. 250(2), pages 579-589.
    2. Tat Y. Chan, 2006. "—Commentary on Structural Modeling in Marketing: Review and Assessment," Marketing Science, INFORMS, vol. 25(6), pages 633-634, 11-12.
    3. Liang Guo, 2006. "—Removing the Boundary Between Structural and Reduced-Form Models," Marketing Science, INFORMS, vol. 25(6), pages 629-632, 11-12.
    4. 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.
    5. Junghyun Park & Minki Kim & Pradeep K Chintagunta, 2022. "Mapping Consumers’ Context-Dependent Consumption Preferences: A Multidimensional Unfolding Approach [An Empirical Comparison of Logit Choice Models with Discrete versus Continuous Representations o," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 49(2), pages 202-228.
    6. Sungho Park & Sachin Gupta, 2012. "Handling Endogenous Regressors by Joint Estimation Using Copulas," Marketing Science, INFORMS, vol. 31(4), pages 567-586, July.
    7. Hernán A. Bruno & Naufel J. Vilcassim, 2008. "—Structural Demand Estimation with Varying Product Availability," Marketing Science, INFORMS, vol. 27(6), pages 1126-1131, 11-12.
    8. Pradeep K. Chintagunta & Harikesh S. Nair, 2011. "Structural Workshop Paper --Discrete-Choice Models of Consumer Demand in Marketing," Marketing Science, INFORMS, vol. 30(6), pages 977-996, November.
    9. Tian Xia & Richard Sexton, 2010. "Brand or Variety Choices and Periodic Sales as Substitute Instruments for Monopoly Price Discrimination," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 36(4), pages 333-349, June.
    10. Robert Meyer & Joachim Vosgerau & Vishal Singh & Joel Urbany & Gal Zauberman & Michael Norton & Tony Cui & Brian Ratchford & Alessandro Acquisti & David Bell & Barbara Kahn, 2010. "Behavioral research and empirical modeling of marketing channels: Implications for both fields and a call for future research," Marketing Letters, Springer, vol. 21(3), pages 301-315, September.
    11. Long Gao & Birendra K. Mishra, 2019. "The Role of Market Evolution in Channel Contracting," Management Science, INFORMS, vol. 67(5), pages 2432-2441, May.
    12. Michel Wedel & Jie Zhang & Fred Feinberg, 2015. "Implementing Retail Category Management: a Model-Based Approach to Setting Optimal Markups," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 2(2), pages 165-176, June.
    13. Leeflang, Peter S.H. & Bijmolt, Tammo H.A. & van Doorn, Jenny & Hanssens, Dominique M. & van Heerde, Harald J. & Verhoef, Peter C. & Wieringa, Jaap E., 2009. "Creating lift versus building the base: Current trends in marketing dynamics," International Journal of Research in Marketing, Elsevier, vol. 26(1), pages 13-20.
    14. Kevin Chung, 2020. "Incorporating a “Better” Behavioral Bias for Both Consumers and Firms in Rebate Programs," Management Science, INFORMS, vol. 66(4), pages 1627-1646, April.
    15. Marcoul, Philippe & Weninger, Quinn, 2008. "Search and active learning with correlated information: Empirical evidence from mid-Atlantic clam fishermen," Journal of Economic Dynamics and Control, Elsevier, vol. 32(6), pages 1921-1948, June.
    16. Murali Mantrala & Sönke Albers & Fabio Caldieraro & Ove Jensen & Kissan Joseph & Manfred Krafft & Chakravarthi Narasimhan & Srinath Gopalakrishna & Andris Zoltners & Rajiv Lal & Leonard Lodish, 2010. "Sales force modeling: State of the field and research agenda," Marketing Letters, Springer, vol. 21(3), pages 255-272, September.
    17. Krafft, Manfred & Goetz, Oliver & Mantrala, Murali & Sotgiu, Francesca & Tillmanns, Sebastian, 2015. "The Evolution of Marketing Channel Research Domains and Methodologies: An Integrative Review and Future Directions," Journal of Retailing, Elsevier, vol. 91(4), pages 569-585.
    18. Steven M. Shugan, 2007. "Editorial: Thanks to the Many Individuals Who Make Publication of Possible," Marketing Science, INFORMS, vol. 26(3), pages 285-292, 05-06.
    19. Thomas Otter & Timothy J. Gilbride & Greg M. Allenby, 2011. "Testing Models of Strategic Behavior Characterized by Conditional Likelihoods," Marketing Science, INFORMS, vol. 30(4), pages 686-701, July.
    20. Kathleen Cleeren & Frank Verboven & Marnik G. Dekimpe & Katrijn Gielens, 2010. "Intra- and Interformat Competition Among Discounters and Supermarkets," Marketing Science, INFORMS, vol. 29(3), pages 456-473, 05-06.
    21. Girish Punj, 2006. "—Structural Modeling in Marketing: Some Future Possibilities," Marketing Science, INFORMS, vol. 25(6), pages 622-624, 11-12.
    22. Steven M. Shugan, 2007. "The Editor's Secrets," Marketing Science, INFORMS, vol. 26(5), pages 589-595, 09-10.
    23. Ewing, Michael T. & Jevons, Colin P. & Khalil, Elias L., 2009. "Brand death: A developmental model of senescence," Journal of Business Research, Elsevier, vol. 62(3), pages 332-338, March.
    24. Marco Guerzoni & Rene Soellner, 2009. "Uniqueness seeking and demand estimation in the German automobile industry," Jena Economics Research Papers 2009-050, Friedrich-Schiller-University Jena.
    25. Xueming Luo, 2009. "Quantifying the Long-Term Impact of Negative Word of Mouth on Cash Flows and Stock Prices," Marketing Science, INFORMS, vol. 28(1), pages 148-165, 01-02.
    26. Jean-Pierre H. Dubé & Ali Hortaçsu & Joonhwi Joo, 2020. "Random-Coefficients Logit Demand Estimation with Zero-Valued Market Shares," Working Papers 2020-13, Becker Friedman Institute for Research In Economics.
    27. Yupin Yang & Mengze Shi & Avi Goldfarb, 2009. "Estimating the Value of Brand Alliances in Professional Team Sports," Marketing Science, INFORMS, vol. 28(6), pages 1095-1111, 11-12.
    28. Leeflang, Peter, 2011. "Paving the way for “distinguished marketing”," International Journal of Research in Marketing, Elsevier, vol. 28(2), pages 76-88.
    29. Maria Ana Vitorino, 2014. "Understanding the Effect of Advertising on Stock Returns and Firm Value: Theory and Evidence from a Structural Model," Management Science, INFORMS, vol. 60(1), pages 227-245, January.
    30. Young-Jin Lee & Kellie B. Keeling & Andrew Urbaczewski, 2019. "The Economic Value of Online User Reviews with Ad Spending on Movie Box-Office Sales," Information Systems Frontiers, Springer, vol. 21(4), pages 829-844, August.
    31. Jonathan Z. Zhang & Chun-Wei Chang, 2021. "Consumer dynamics: theories, methods, and emerging directions," Journal of the Academy of Marketing Science, Springer, vol. 49(1), pages 166-196, January.
    32. Mahsa Samsami & Ralf Wagner, 2021. "Investment Decisions with Endogeneity: A Dirichlet Tree Analysis," JRFM, MDPI, vol. 14(7), pages 1-19, July.
    33. Oliver J. Rutz & George F. Watson, 2019. "Endogeneity and marketing strategy research: an overview," Journal of the Academy of Marketing Science, Springer, vol. 47(3), pages 479-498, May.
    34. Gielens, Katrijn & Gijsbrechts, Els & Dekimpe, Marnik G., 2014. "Gains and losses of exclusivity in grocery retailing," International Journal of Research in Marketing, Elsevier, vol. 31(3), pages 239-252.
    35. Jean-Pierre H. Dubé & Ali Hortaçsu & Joonhwi Joo, 2020. "Random-Coefficients Logit Demand Estimation with Zero-Valued Market Shares," NBER Working Papers 26795, National Bureau of Economic Research, Inc.
    36. 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.
    37. Vishal Singh & Ting Zhu, 2008. "Pricing and Market Concentration in Oligopoly Markets," Marketing Science, INFORMS, vol. 27(6), pages 1020-1035, 11-12.
    38. V. Kumar & S. Sriram & Anita Luo & Pradeep K. Chintagunta, 2011. "Assessing the Effect of Marketing Investments in a Business Marketing Context," Marketing Science, INFORMS, vol. 30(5), pages 924-940, September.
    39. Marc Fischer & Peter Leeflang & Peter Verhoef, 2010. "Drivers of peak sales for pharmaceutical brands," Quantitative Marketing and Economics (QME), Springer, vol. 8(4), pages 429-460, December.
    40. Kannan Srinivasan, 2006. "—Empirical Analysis of Theory-Based Models in Marketing," Marketing Science, INFORMS, vol. 25(6), pages 635-637, 11-12.
    41. Laurette Dubé & Antoine Bechara & Ulf Böckenholt & Asim Ansari & Alain Dagher & Mark Daniel & Wayne DeSarbo & Lesley Fellows & Ross Hammond & Terry Huang & Scott Huettel & Yan Kestens & Bärbel Knäuper, 2009. "Towards a brain-to-society systems model of individual choice," Marketing Letters, Springer, vol. 20(1), pages 105-106, March.
    42. Anindya Ghose & Sang Pil Han, 2009. "A Dynamic Structural Model of User Learning in Mobile Media Content," Working Papers 09-24, NET Institute, revised Oct 2009.
    43. 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.
    44. Tao Chen & Baohong Sun & Vishal Singh, 2009. "An Empirical Investigation of the Dynamic Effect of Marlboro's Permanent Pricing Shift," Marketing Science, INFORMS, vol. 28(4), pages 740-758, 07-08.
    45. Greg M. Allenby & Mark J. Garratt & Peter E. Rossi, 2010. "A Model for Trade-Up and Change in Considered Brands," Marketing Science, INFORMS, vol. 29(1), pages 40-56, 01-02.
    46. Necati Ertekin & Jeffrey D. Shulman & Haipeng (Allan) Chen, 2019. "On the Profitability of Stacked Discounts: Identifying Revenue and Cost Effects of Discount Framing," Marketing Science, INFORMS, vol. 38(2), pages 317-342, March.
    47. Gupta, Sunil & Mela, Carl F. & Vidal-Sanz, Jose M., 2009. "The value of a "free" customer," DEE - Working Papers. Business Economics. WB wb092903, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    48. Barry L. Bayus & Rajshree Agarwal, 2007. "The Role of Pre-Entry Experience, Entry Timing, and Product Technology Strategies in Explaining Firm Survival," Management Science, INFORMS, vol. 53(12), pages 1887-1902, December.
    49. Jorge Silva-Risso & Irina Ionova, 2008. "—A Nested Logit Model of Product and Transaction-Type Choice for Planning Automakers' Pricing and Promotions," Marketing Science, INFORMS, vol. 27(4), pages 545-566, 07-08.
    50. Baohong Sun, 2006. "—Dynamic Structural Consumer Models and Current Marketing Issues," Marketing Science, INFORMS, vol. 25(6), pages 625-628, 11-12.
    51. Peter C. Reiss, 2011. "Structural Workshop Paper --Descriptive, Structural, and Experimental Empirical Methods in Marketing Research," Marketing Science, INFORMS, vol. 30(6), pages 950-964, November.
    52. Albers, Sönke, 2012. "Optimizable and implementable aggregate response modeling for marketing decision support," International Journal of Research in Marketing, Elsevier, vol. 29(2), pages 111-122.
    53. Anastasia A. Zakolyukina, 2018. "How Common Are Intentional GAAP Violations? Estimates from a Dynamic Model," Journal of Accounting Research, Wiley Blackwell, vol. 56(1), pages 5-44, March.
    54. V Kumar & Amalesh Sharma & Shaphali Gupta, 2017. "Accessing the influence of strategic marketing research on generating impact: moderating roles of models, journals, and estimation approaches," Journal of the Academy of Marketing Science, Springer, vol. 45(2), pages 164-185, March.
    55. Sam K. Hui & Jehoshua Eliashberg & Edward I. George, 2008. "Modeling DVD Preorder and Sales: An Optimal Stopping Approach," Marketing Science, INFORMS, vol. 27(6), pages 1097-1110, 11-12.
    56. Juanjuan Zhang, 2010. "The Sound of Silence: Observational Learning in the U.S. Kidney Market," Marketing Science, INFORMS, vol. 29(2), pages 315-335, 03-04.
    57. Michael J. Mazzeo, 2006. "—Marketing Structural Models: “Keep It Real”," Marketing Science, INFORMS, vol. 25(6), pages 617-619, 11-12.
    58. Sungwook Yoon & Duk Bin Jun & Sungho Park, 2020. "The effect of general health checks on healthcare utilization: accounting for self‐selection bias," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(1), pages 3-36, January.
    59. Sloot, Laurens M. & Verhoef, Peter C., 2008. "The Impact of Brand Delisting on Store Switching and Brand Switching Intentions," Journal of Retailing, Elsevier, vol. 84(3), pages 281-296.
    60. Sanghak Lee & Greg M. Allenby, 2014. "Modeling Indivisible Demand," Marketing Science, INFORMS, vol. 33(3), pages 364-381, May.
    61. Subramanian Balachander & Bikram Ghosh & Axel Stock, 2010. "Why Bundle Discounts Can Be a Profitable Alternative to Competing on Price Promotions," Marketing Science, INFORMS, vol. 29(4), pages 624-638, 07-08.
    62. Leigh McAlister, 2016. "Rigor versus method imperialism," Journal of the Academy of Marketing Science, Springer, vol. 44(5), pages 565-567, September.
    63. Steven M. Shugan, 2007. ": Does Good Marketing Cause Bad Unemployment?," Marketing Science, INFORMS, vol. 26(1), pages 1-17, 01-02.
    64. Song Lin & Juanjuan Zhang & John R. Hauser, 2015. "Learning from Experience, Simply," Marketing Science, INFORMS, vol. 34(1), pages 1-19, January.
    65. Xiaojing Dong & Pradeep Chintagunta & Puneet Manchanda, 2011. "A new multivariate count data model to study multi-category physician prescription behavior," Quantitative Marketing and Economics (QME), Springer, vol. 9(3), pages 301-337, September.
    66. Yixin Lu & Alok Gupta & Wolfgang Ketter & Eric van Heck, 2019. "Dynamic Decision Making in Sequential Business-to-Business Auctions: A Structural Econometric Approach," Management Science, INFORMS, vol. 65(8), pages 3853-3876, August.
    67. Carl F. Mela, 2011. "Structural Workshop Paper --Data Selection and Procurement," Marketing Science, INFORMS, vol. 30(6), pages 965-976, November.
    68. Guyt, Jonne, 2015. "Consumer choice models on the effect of promotions in retailing," Other publications TiSEM c310f652-d725-4764-aac7-b, Tilburg University, School of Economics and Management.

  13. Peter Boatwright & Sanjay Dhar & Peter Rossi, 2004. "The Role of Retail Competition, Demographics and Account Retail Strategy as Drivers of Promotional Sensitivity," Quantitative Marketing and Economics (QME), Springer, vol. 2(2), pages 169-190, June.

    Cited by:

    1. Steven Tenn, 2006. "Avoiding aggregation bias in demand estimation: A multivariate promotional disaggregation approach," Quantitative Marketing and Economics (QME), Springer, vol. 4(4), pages 383-405, December.
    2. Gauri, Dinesh Kumar & Trivedi, Minakshi & Grewal, Dhruv, 2008. "Understanding the Determinants of Retail Strategy: An Empirical Analysis," Journal of Retailing, Elsevier, vol. 84(3), pages 256-267.
    3. Günter J. Hitsch & Ali Hortaçsu & Xiliang Lin, 2021. "Prices and promotions in U.S. retail markets," Quantitative Marketing and Economics (QME), Springer, vol. 19(3), pages 289-368, December.
    4. Yeh, Ching-Hua & Hartmann, Monika, 2016. "Consumers’ Preference for Sweet Peppers with different Process Attributes: A Discrete Choice Experiment in Taiwan," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 7(4), pages 1-18, July.
    5. Talukdar, Debabrata & Gauri, Dinesh K. & Grewal, Dhruv, 2010. "An Empirical Analysis of the Extreme Cherry Picking Behavior of Consumers in the Frequently Purchased Goods Market," Journal of Retailing, Elsevier, vol. 86(4), pages 336-354.
    6. Minha Hwang & Bart J. Bronnenberg & Raphael Thomadsen, 2010. "An Empirical Analysis of Assortment Similarities Across U.S. Supermarkets," Marketing Science, INFORMS, vol. 29(5), pages 858-879, 09-10.
    7. Dinesh Kumar Gauri & Janos Gabor Pauler & Minakshi Trivedi, 2009. "Benchmarking Performance in Retail Chains: An Integrated Approach," Marketing Science, INFORMS, vol. 28(3), pages 502-515, 05-06.
    8. Murthi, B.P.S. & Rao, Ram C., 2012. "Price Awareness and Consumers’ Use of Deals in Brand Choice," Journal of Retailing, Elsevier, vol. 88(1), pages 34-46.
    9. Li, Lan & Carman, Hoy F. & Sexton, Richard J., 2006. "Grocery Retailer Pricing Behavior for California Avocados with Implications for Industry Promotion Strategies," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25494, International Association of Agricultural Economists.
    10. Gauri, Dinesh K., 2013. "Benchmarking Retail Productivity Considering Retail Pricing and Format Strategy," Journal of Retailing, Elsevier, vol. 89(1), pages 1-14.
    11. Tian Xia & Brian Sancewich, 2018. "Interaction between buyer power in agricultural procurement and seller power in food retailing, and optimal allocation of anti-trust efforts," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 6(1), pages 1-19, December.
    12. Karsten Hansen & Vishal Singh & Pradeep Chintagunta, 2006. "Understanding Store-Brand Purchase Behavior Across Categories," Marketing Science, INFORMS, vol. 25(1), pages 75-90, 01-02.
    13. Huang, Kun & Stiegert, Kyle W., 2010. "Evaluating a Supermarket Merger Event: The Case of Copps and Kohl's in Madison WI," Working Papers 201441, University of Wisconsin-Madison, Department of Agricultural and Applied Economics, Food System Research Group.
    14. Chan, Tat Y. & Narasimhan, Chakravarthi & Yoon, Yeujun, 2017. "Advertising and price competition in a manufacturer-retailer channel," International Journal of Research in Marketing, Elsevier, vol. 34(3), pages 694-716.
    15. Cleeren, K. & Dekimpe, M.G. & Verboven, F., 2005. "Intra- and Inter-Channel Competition in Local-Service Sectors," ERIM Report Series Research in Management ERS-2005-018-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    16. Haans, Hans & Gijsbrechts, Els, 2011. "“One-deal-fits-all?” On Category Sales Promotion Effectiveness in Smaller versus Larger Supermarkets," Journal of Retailing, Elsevier, vol. 87(4), pages 427-443.
    17. Klein, Andreas & Schmitz, Gertrud, 2016. "Main-format dominance in consumers’ FMCG cross-format shopping patterns," Journal of Retailing and Consumer Services, Elsevier, vol. 30(C), pages 105-115.
    18. Seenivasan, Satheesh & Talukdar, Debabrata, 2016. "Competitive Effects of Wal-Mart Supercenter Entry: Moderating Roles of Category and Brand Characteristics," Journal of Retailing, Elsevier, vol. 92(2), pages 218-225.
    19. Philip G. Gayle & Ying Lin, 2022. "Market effects of new product introduction: Evidence from the brew‐at‐home coffee market," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(3), pages 525-557, August.
    20. Minakshi Trivedi & Dinesh K. Gauri & Yu Ma, 2017. "Measuring the Efficiency of Category-Level Sales Response to Promotions," Management Science, INFORMS, vol. 63(10), pages 3473-3488, October.
    21. Hwang, M. & Bronnenberg, B.J. & Thomadsen, R., 2010. "An empirical analysis of assortment similarities across U.S. supermarkets," Other publications TiSEM adc990b3-1d5b-4fab-8679-a, Tilburg University, School of Economics and Management.
    22. Rahkovsky Ilya & Volpe Richard, 2018. "Structure and Food Price Inflation," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 16(1), pages 1-16, January.
    23. Dippold Katrin & Hruschka Harald, 2013. "A Model of Heterogeneous Multicategory Choice for Market Basket Analysis," Review of Marketing Science, De Gruyter, vol. 11(1), pages 1-31, September.
    24. Crabbe, M. & Vandebroek, M., 2012. "Improving the efficiency of individualized designs for the mixed logit choice model by including covariates," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 2059-2072.
    25. Pauler, Gabor & Trivedi, Minakshi & Gauri, Dinesh Kumar, 2009. "Assessing store performance models," European Journal of Operational Research, Elsevier, vol. 197(1), pages 349-359, August.
    26. Grewal, Dhruv & Ailawadi, Kusum L. & Gauri, Dinesh & Hall, Kevin & Kopalle, Praveen & Robertson, Jane R., 2011. "Innovations in Retail Pricing and Promotions," Journal of Retailing, Elsevier, vol. 87(S1), pages 43-52.
    27. Jean-Pierre Dubé & Puneet Manchanda, 2005. "Differences in Dynamic Brand Competition Across Markets: An Empirical Analysis," Marketing Science, INFORMS, vol. 24(1), pages 81-95, September.
    28. Haans, A.J. & Gijsbrechts, E., 2011. "One-deal-fits-all? : On category sales promotion effectiveness in smaller versus larger supermarkets," Other publications TiSEM 2c1a69db-bdfa-4988-a84c-4, Tilburg University, School of Economics and Management.
    29. Dennis Campbell & Srikant M. Datar & Tatiana Sandino, 2008. "Organizational Design and Control across Multiple Markets: The Case of Franchising in the Convenience Store Industry," Harvard Business School Working Papers 08-091, Harvard Business School.
    30. Li, Lan & Sexton, Richard J. & Xia, Tian, 2006. "Food Retailers' Pricing and Marketing Strategies, with Implications for Producers," Agricultural and Resource Economics Review, Cambridge University Press, vol. 35(2), pages 221-238, October.
    31. Foxall, Gordon R. & Yan, Ji & Oliveira-Castro, Jorge M. & Wells, Victoria K., 2013. "Brand-related and situational influences on demand elasticity," Journal of Business Research, Elsevier, vol. 66(1), pages 73-81.
    32. Voleti Sudhir, 2015. "A Multimarket Analysis of Inter-dependent Consumer Response Sensitivities," Review of Marketing Science, De Gruyter, vol. 13(1), pages 59-93, November.
    33. Yeh, Ching-Hua & Hartmann, Monika, 2016. "Consumers’ Preference for Sweet Peppers with Different Process Attributes: A Discrete Choice Experiment in Taiwan," 2016 International European Forum (151st EAAE Seminar), February 15-19, 2016, Innsbruck-Igls, Austria 244483, International European Forum on System Dynamics and Innovation in Food Networks.

  14. Jacquier, Eric & Polson, Nicholas G. & Rossi, P.E.Peter E., 2004. "Bayesian analysis of stochastic volatility models with fat-tails and correlated errors," Journal of Econometrics, Elsevier, vol. 122(1), pages 185-212, September.

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    1. Leopoldo Catania & Nima Nonejad, 2016. "Density Forecasts and the Leverage Effect: Some Evidence from Observation and Parameter-Driven Volatility Models," Papers 1605.00230, arXiv.org, revised Nov 2016.
    2. Delle Monache, Davide & Petrella, Ivan, 2017. "Adaptive models and heavy tails with an application to inflation forecasting," International Journal of Forecasting, Elsevier, vol. 33(2), pages 482-501.
    3. Anna Pajor, 2009. "Bayesian Analysis of the Box-Cox Transformation in Stochastic Volatility Models," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 9, pages 81-90.
    4. Mark J. Jensen & John M. Maheu, 2008. "Bayesian semiparametric stochastic volatility modeling," FRB Atlanta Working Paper 2008-15, Federal Reserve Bank of Atlanta.
    5. Zhang, Xibin & King, Maxwell L. & Hyndman, Rob J., 2006. "A Bayesian approach to bandwidth selection for multivariate kernel density estimation," Computational Statistics & Data Analysis, Elsevier, vol. 50(11), pages 3009-3031, July.
    6. Kenichiro McAlinn & Asahi Ushio & Teruo Nakatsuma, 2020. "Volatility forecasts using stochastic volatility models with nonlinear leverage effects," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 143-154, March.
    7. Faruk Selcuk, 2005. "Asymmetric stochastic volatility in emerging stock markets," Applied Financial Economics, Taylor & Francis Journals, vol. 15(12), pages 867-874.
    8. Kim, Chang Sik & Lee, Sungro, 2011. "Spurious regressions driven by excessive volatility," Economics Letters, Elsevier, vol. 113(3), pages 292-297.
    9. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2018. "Measuring Uncertainty and Its Impact on the Economy," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 799-815, December.
    10. Yuta Kurose, 2021. "Stochastic volatility model with range-based correction and leverage," Papers 2110.00039, arXiv.org, revised Oct 2021.
    11. Kaeck, Andreas & Rodrigues, Paulo & Seeger, Norman J., 2017. "Equity index variance: Evidence from flexible parametric jump–diffusion models," Journal of Banking & Finance, Elsevier, vol. 83(C), pages 85-103.
    12. Gruber, Lutz F. & West, Mike, 2017. "Bayesian online variable selection and scalable multivariate volatility forecasting in simultaneous graphical dynamic linear models," Econometrics and Statistics, Elsevier, vol. 3(C), pages 3-22.
    13. Andreas Kaeck & Carol Alexander, 2010. "Stochastic Volatility Jump-Diffusions for Equity Index Dynamics," ICMA Centre Discussion Papers in Finance icma-dp2010-06, Henley Business School, University of Reading.
    14. Vasilios Plakandaras & Rangan Gupta & Constantinos Katrakilidis & Mark E. Wohar, 2017. "Time-Varying Role of Macroeconomic Shocks on House Prices in the US and UK: Evidence from Over 150 Years of Data," Working Papers 201765, University of Pretoria, Department of Economics.
    15. Griffin, J.E. & Steel, M.F.J., 2011. "Stick-breaking autoregressive processes," Journal of Econometrics, Elsevier, vol. 162(2), pages 383-396, June.
    16. Lombardi, Marco J. & Calzolari, Giorgio, 2009. "Indirect estimation of [alpha]-stable stochastic volatility models," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2298-2308, April.
    17. Tsyplakov, Alexander, 2010. "Revealing the arcane: an introduction to the art of stochastic volatility models," MPRA Paper 25511, University Library of Munich, Germany.
    18. Suk Joon Byun & Jung‐Soon Hyun & Woon Jun Sung, 2021. "Estimation of stochastic volatility and option prices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(3), pages 349-360, March.
    19. Beyer, Robert & Milivojevic, Lazar, 2021. "Dynamics and synchronization of global equilibrium interest rates," IMFS Working Paper Series 146, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    20. Gudkov, Nikolay & Ignatieva, Katja, 2021. "Electricity price modelling with stochastic volatility and jumps: An empirical investigation," Energy Economics, Elsevier, vol. 98(C).
    21. Zhang, Xibin & King, Maxwell L., 2008. "Box-Cox stochastic volatility models with heavy-tails and correlated errors," Journal of Empirical Finance, Elsevier, vol. 15(3), pages 549-566, June.
    22. Corina SAMAN, 2016. "The Impact of the US and Euro Area Financial Systemic Stress to the Romanian Economy," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 170-183, December.
    23. Jun Yu & Zhenlin Yang & Xibin Zhang, 2002. "A Class of Nonlinear Stochastic Volatility Models and Its Implications on Pricing Currency Options," Monash Econometrics and Business Statistics Working Papers 17/02, Monash University, Department of Econometrics and Business Statistics.
    24. Chiu, Ching-Wai (Jeremy) & Mumtaz, Haroon & Pinter, Gabor, 2016. "VAR models with non-Gaussian shocks," LSE Research Online Documents on Economics 86238, London School of Economics and Political Science, LSE Library.
    25. Catania, Leopoldo & Proietti, Tommaso, 2020. "Forecasting volatility with time-varying leverage and volatility of volatility effects," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1301-1317.
    26. Oleg Korenok & Stanislav Radchenko, 2005. "The smooth transition autoregressive target zone model with the Gaussian stochastic volatility and TGARCH error terms with applications," Working Papers 0505, VCU School of Business, Department of Economics.
    27. Roberto Casarin & Marco Tronzano & Domenico Sartore, 2013. "Bayesian Markov Switching Stochastic Correlation Models," Working Papers 2013:11, Department of Economics, University of Venice "Ca' Foscari".
    28. Manabu Asai & Michael McAleer, 2010. "Alternative Asymmetric Stochastic Volatility Models," Working Papers in Economics 10/70, University of Canterbury, Department of Economics and Finance.
    29. Dufour, Jean-Marie & García, René, 2008. "Measuring causality between volatility and returns with high-frequency data," UC3M Working papers. Economics we084422, Universidad Carlos III de Madrid. Departamento de Economía.
    30. Ilze Kalnina & Dacheng Xiu, 2017. "Nonparametric Estimation of the Leverage Effect: A Trade-Off Between Robustness and Efficiency," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(517), pages 384-396, January.
    31. Kirby, Chris, 2006. "Linear filtering for asymmetric stochastic volatility models," Economics Letters, Elsevier, vol. 92(2), pages 284-292, August.
    32. Todd E. Clark & Gergely Ganics & Elmar Mertens, 2024. "Constructing fan charts from the ragged edge of SPF forecasts," Working Papers 2429, Banco de España.
    33. Wei Zhou, 2017. "Dynamic and Asymmetric Contagion Reactions of Financial Markets During the Last Subprime Crisis," Computational Economics, Springer;Society for Computational Economics, vol. 50(2), pages 207-230, August.
    34. Anders Johansson, 2009. "Stochastic volatility and time-varying country risk in emerging markets," The European Journal of Finance, Taylor & Francis Journals, vol. 15(3), pages 337-363.
    35. Süleyman Taşpınar & Osman DoĞan & Jiyoung Chae & Anil K. Bera, 2021. "Bayesian Inference in Spatial Stochastic Volatility Models: An Application to House Price Returns in Chicago," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(5), pages 1243-1272, October.
    36. Michael B. Gordy & Søren Willemann, 2010. "Constant proportion debt obligations: a post-mortem analysis of rating models," Finance and Economics Discussion Series 2010-05, Board of Governors of the Federal Reserve System (U.S.).
    37. Carlos A. Abanto-Valle & Gabriel Rodríguez & Hernán B. Garrafa-Aragón, 2020. "Stochastic Volatility in Mean: Empirical Evidence from Stock Latin American Markets," Documentos de Trabajo / Working Papers 2020-481, Departamento de Economía - Pontificia Universidad Católica del Perú.
    38. Omori, Yasuhiro & Watanabe, Toshiaki, 2008. "Block sampler and posterior mode estimation for asymmetric stochastic volatility models," Computational Statistics & Data Analysis, Elsevier, vol. 52(6), pages 2892-2910, February.
    39. Antonis Demos, 2023. "Estimation of Asymmetric Stochastic Volatility in Mean Models," DEOS Working Papers 2309, Athens University of Economics and Business.
    40. Wang, Joanna J.J. & Chan, Jennifer S.K. & Choy, S.T. Boris, 2011. "Stochastic volatility models with leverage and heavy-tailed distributions: A Bayesian approach using scale mixtures," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 852-862, January.
    41. Chiu, Ching-Wai (Jeremy) & Mumtaz, Haroon & Pintér, Gábor, 2017. "Forecasting with VAR models: Fat tails and stochastic volatility," International Journal of Forecasting, Elsevier, vol. 33(4), pages 1124-1143.
    42. Nakajima, Jouchi & Omori, Yasuhiro, 2009. "Leverage, heavy-tails and correlated jumps in stochastic volatility models," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2335-2353, April.
    43. Sha Lin & Xin-Jiang He, 2022. "Analytically Pricing European Options under a New Two-Factor Heston Model with Regime Switching," Computational Economics, Springer;Society for Computational Economics, vol. 59(3), pages 1069-1085, March.
    44. Casas, Isabel, 2019. "Exploring option pricing and hedging via volatility asymmetry," DES - Working Papers. Statistics and Econometrics. WS 28234, Universidad Carlos III de Madrid. Departamento de Estadística.
    45. Todd E. Clark & Michael W. McCracken & Elmar Mertens, 2020. "Modeling Time-Varying Uncertainty of Multiple-Horizon Forecast Errors," The Review of Economics and Statistics, MIT Press, vol. 102(1), pages 17-33, March.
    46. Margarita Marín & Edilberto Cepeda-Cuervo, 2022. "A Bayesian Regression Model for the Non-standardized t Distribution with Location, Scale and Degrees of Freedom Parameters," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 84(2), pages 809-830, November.
    47. Deschamps, Philippe J., 2011. "Bayesian estimation of an extended local scale stochastic volatility model," Journal of Econometrics, Elsevier, vol. 162(2), pages 369-382, June.
    48. Kobayashi, Masahito, 2009. "Testing for jumps in the stochastic volatility models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(8), pages 2597-2608.
    49. Tsiotas, Georgios, 2012. "On generalised asymmetric stochastic volatility models," Computational Statistics & Data Analysis, Elsevier, vol. 56(1), pages 151-172, January.
    50. Ai-ru (Meg) Cheng & Yin-Wong Cheung, 2008. "Return, Trading Volume, and Market Depth in Currency Futures Markets," Working Papers 202008, Hong Kong Institute for Monetary Research.
    51. Jaros{l}aw Gruszka & Janusz Szwabi'nski, 2022. "Parameter Estimation of the Heston Volatility Model with Jumps in the Asset Prices," Papers 2211.14814, arXiv.org.
    52. Jerzy P. Rydlewski & Ma{l}gorzata Snarska, 2012. "On Geometric Ergodicity of Skewed - SVCHARME models," Papers 1209.1544, arXiv.org.
    53. Hsieh, Ping-Hung & Yang, J. Jimmy, 2009. "A censored stochastic volatility approach to the estimation of price limit moves," Journal of Empirical Finance, Elsevier, vol. 16(2), pages 337-351, March.
    54. Subbotin, Alexandre, 2009. "Volatility Models: from Conditional Heteroscedasticity to Cascades at Multiple Horizons," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 15(3), pages 94-138.
    55. Chan, Joshua C.C., 2013. "Moving average stochastic volatility models with application to inflation forecast," Journal of Econometrics, Elsevier, vol. 176(2), pages 162-172.
    56. Mumtaz, Haroon & Surico, Paolo, 2008. "Evolving International Inflation Dynamics: Evidence from a Time-varying Dynamic Factor Model," CEPR Discussion Papers 6767, C.E.P.R. Discussion Papers.
    57. Hang Qian, 2014. "A Flexible State Space Model And Its Applications," Journal of Time Series Analysis, Wiley Blackwell, vol. 35(2), pages 79-88, March.
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    63. Martin, Gael M. & Frazier, David T. & Maneesoonthorn, Worapree & Loaiza-Maya, Rubén & Huber, Florian & Koop, Gary & Maheu, John & Nibbering, Didier & Panagiotelis, Anastasios, 2024. "Bayesian forecasting in economics and finance: A modern review," International Journal of Forecasting, Elsevier, vol. 40(2), pages 811-839.
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    66. Sam Ransbotham & Gerald C. Kane & Nicholas H. Lurie, 2012. "Network Characteristics and the Value of Collaborative User-Generated Content," Marketing Science, INFORMS, vol. 31(3), pages 387-405, May.
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    97. Michel Wedel & Chen Dong & Anna Kopyakova, 2024. "Bayesian analysis of experimental and observational data: a review and illustration of the BANOVA R package," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(3), pages 735-742, September.
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    99. Mahmoodi, Jasmin & Prasanna, Ashreeta & Hille, Stefanie & Patel, Martin K. & Brosch, Tobias, 2018. "Combining “carrot and stick” to incentivize sustainability in households," Energy Policy, Elsevier, vol. 123(C), pages 31-40.
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    103. Alina Ferecatu & Ayse Önçüler, 2016. "Heterogeneous risk and time preferences," Journal of Risk and Uncertainty, Springer, vol. 53(1), pages 1-28, August.
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    105. Liying Yang & Yi Qian & Hui Xie, 2024. "Handling Endogenous Marketing Mix Regressors in Correlated Heterogeneous Panels with Copula Augmented Mean Group Estimation," NBER Working Papers 33265, National Bureau of Economic Research, Inc.
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    110. Gael M. Martin & David T. Frazier & Christian P. Robert, 2021. "Approximating Bayes in the 21st Century," Monash Econometrics and Business Statistics Working Papers 24/21, Monash University, Department of Econometrics and Business Statistics.
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    1. B. Weijters & E. Cabooter & N. Schillewaert, 2010. "The effect of rating scale format on response styles: the number of response categories and response catgory labels," Post-Print hal-00787535, HAL.
    2. Maria Iannario, 2015. "Detecting latent components in ordinal data with overdispersion by means of a mixture distribution," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(3), pages 977-987, May.
    3. Anne Thissen-Roe & David Thissen, 2013. "A Two-Decision Model for Responses to Likert-Type Items," Journal of Educational and Behavioral Statistics, , vol. 38(5), pages 522-547, October.
    4. Cheng, Yung-Hsiang & Chen, Ssu-Yun, 2015. "Perceived accessibility, mobility, and connectivity of public transportation systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 386-403.
    5. William H. Greene & Mark N. Harris & Rachel J. Knott & Nigel Rice, 2021. "Specification and testing of hierarchical ordered response models with anchoring vignettes," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(1), pages 31-64, January.
    6. Franco Peracchi & Claudio Rossetti, 2013. "The heterogeneous thresholds ordered response model: identification and inference," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(3), pages 703-722, June.
    7. Nino Hardt & Alex Varbanov & Greg M. Allenby, 2016. "Monetizing Ratings Data for Product Research," Marketing Science, INFORMS, vol. 35(5), pages 713-726, September.
    8. Timothy Gilbride & Sha Yang & Greg Allenby, 2005. "Modeling Simultaneity in Survey Data," Quantitative Marketing and Economics (QME), Springer, vol. 3(4), pages 311-335, December.
    9. Bettina Grün & Sara Dolnicar, 2016. "Response style corrected market segmentation for ordinal data," Marketing Letters, Springer, vol. 27(4), pages 729-741, December.
    10. Hasegawa, Hikaru, 2010. "Analyzing tourists' satisfaction: A multivariate ordered probit approach," Tourism Management, Elsevier, vol. 31(1), pages 86-97.
    11. Gubanova, Tatiana & Volinskiy, Dmitriy & Adamowicz, Wiktor L. & Veeman, Michele M., 2008. "Delving into Choice Internals: A Joint Discrete Choice/Attribute Rating Model," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6252, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    12. Peter J. Danaher & Michael S. Smith, 2011. "Modeling Multivariate Distributions Using Copulas: Applications in Marketing," Marketing Science, INFORMS, vol. 30(1), pages 4-21, 01-02.
    13. Tuck Siong Chung & Michel Wedel & Roland T. Rust, 2016. "Adaptive personalization using social networks," Journal of the Academy of Marketing Science, Springer, vol. 44(1), pages 66-87, January.
    14. Ando, Tomohiro, 2009. "Bayesian factor analysis with fat-tailed factors and its exact marginal likelihood," Journal of Multivariate Analysis, Elsevier, vol. 100(8), pages 1717-1726, September.
    15. Maria A. Cunha-e-Sa & Luis C. Nunes & Vladimir Otrachshenko, 2012. "Protest attitudes and stated preferences: evidence on scale usage heterogeneity," Nova SBE Working Paper Series wp569, Universidade Nova de Lisboa, Nova School of Business and Economics.
    16. Yuchi Zhang & David Godes, 2018. "Learning from Online Social Ties," Marketing Science, INFORMS, vol. 37(3), pages 425-444, May.
    17. Klaus, Phil & Kuppelwieser, Volker G. & Heinonen, Kristina, 2023. "Quantifying the influence of customer experience on consumer share-of-category," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    18. Wang, Luming & Finn, Adam, 2014. "A psychometric theory that measures up to marketing reality: An adapted Many Faceted IRT model," Australasian marketing journal, Elsevier, vol. 22(2), pages 93-102.
    19. Corrado, L. & Weeks, M., 2010. "Identification Strategies in Survey Response Using Vignettes," Cambridge Working Papers in Economics 1031, Faculty of Economics, University of Cambridge.
    20. Dubnovitskaya, Anastasia & Furmanov, Kirill, 2023. "Job satisfaction in Russia: Wages, working conditions and promotion opportunities," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 72, pages 121-139.
    21. Joachim Büschken & Thomas Otter & Greg M. Allenby, 2013. "The Dimensionality of Customer Satisfaction Survey Responses and Implications for Driver Analysis," Marketing Science, INFORMS, vol. 32(4), pages 533-553, July.
    22. Tuck Siong Chung & Roland T. Rust & Michel Wedel, 2009. "My Mobile Music: An Adaptive Personalization System for Digital Audio Players," Marketing Science, INFORMS, vol. 28(1), pages 52-68, 01-02.
    23. Sha Yang & Yi Zhao & Ravi Dhar, 2010. "Modeling the Underreporting Bias in Panel Survey Data," Marketing Science, INFORMS, vol. 29(3), pages 525-539, 05-06.
    24. Lynd Bacon & Peter Lenk, 2012. "Augmenting discrete-choice data to identify common preference scales for inter-subject analyses," Quantitative Marketing and Economics (QME), Springer, vol. 10(4), pages 453-474, December.
    25. Stan Lipovetsky & Michael Conklin, 2018. "Decreasing Respondent Heterogeneity by Likert Scales Adjustment via Multipoles," Stats, MDPI, vol. 1(1), pages 1-7, November.
    26. Allenby, Greg M., 2017. "Structural forecasts for marketing data," International Journal of Forecasting, Elsevier, vol. 33(2), pages 433-441.
    27. Peter E. Rossi & Greg M. Allenby, 2003. "Bayesian Statistics and Marketing," Marketing Science, INFORMS, vol. 22(3), pages 304-328, July.
    28. Ivy Liu & Alan Agresti, 2005. "The analysis of ordered categorical data: An overview and a survey of recent developments," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 14(1), pages 1-73, June.
    29. de Jong, M.G., 2006. "Response bias in international marketing research," Other publications TiSEM 5d4031be-97b5-4db3-962b-2, Tilburg University, School of Economics and Management.
    30. Roberto Colombi & Sabrina Giordano & Gerhard Tutz, 2021. "A Rating Scale Mixture Model to Account for the Tendency to Middle and Extreme Categories," Journal of Educational and Behavioral Statistics, , vol. 46(6), pages 682-716, December.
    31. Romina Gambacorta & Maria Iannario, 2013. "Measuring Job Satisfaction with CUB Models," LABOUR, CEIS, vol. 27(2), pages 198-224, June.
    32. Supriyo Mandal & Abyayananda Maiti, 2022. "Network promoter score (NePS): An indicator of product sales in E-commerce retailing sector," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1327-1349, September.
    33. Linda Court Salisbury & Fred M. Feinberg, 2010. "—Temporal Stochastic Inflation in Choice-Based Research," Marketing Science, INFORMS, vol. 29(1), pages 32-39, 01-02.
    34. Dirk Lubbe & Christof Schuster, 2020. "A Scaled Threshold Model for Measuring Extreme Response Style," Journal of Educational and Behavioral Statistics, , vol. 45(1), pages 86-107, February.
    35. Weijters, Bert & Baumgartner, Hans & Geuens, Maggie, 2016. "The calibrated sigma method: An efficient remedy for between-group differences in response category use on Likert scales," International Journal of Research in Marketing, Elsevier, vol. 33(4), pages 944-960.
    36. Kim, Jung Seek & Ratchford, Brian T., 2013. "A Bayesian multivariate probit for ordinal data with semiparametric random-effects," Computational Statistics & Data Analysis, Elsevier, vol. 64(C), pages 192-208.
    37. Michael Evans & Zvi Gilula & Irwin Guttman, 2012. "Conversion of ordinal attitudinal scales: An inferential Bayesian approach," Quantitative Marketing and Economics (QME), Springer, vol. 10(3), pages 283-304, September.
    38. Andrew M. Jones; Nigel Rice, Silvana Robone; & Nigel Rice; & Silvana Robone:, 2012. "A comparison of parametric and non-parametric adjustments using vignettes for self-reported data," Health, Econometrics and Data Group (HEDG) Working Papers 12/10, HEDG, c/o Department of Economics, University of York.
    39. Sanghak Lee & Greg M. Allenby, 2014. "Modeling Indivisible Demand," Marketing Science, INFORMS, vol. 33(3), pages 364-381, May.
    40. Timothy Johnson, 2003. "On the use of heterogeneous thresholds ordinal regression models to account for individual differences in response style," Psychometrika, Springer;The Psychometric Society, vol. 68(4), pages 563-583, December.
    41. Anca Tamas & Ruxandra Popescu, 2017. "The advantages of using Best-Worst Model for hybrid products," Proceedings of Economics and Finance Conferences 4507471, International Institute of Social and Economic Sciences.
    42. Martijn G. de Jong & Donald R. Lehmann & Oded Netzer, 2012. "State-Dependence Effects in Surveys," Marketing Science, INFORMS, vol. 31(5), pages 838-854, September.

  18. McCulloch, Robert E. & Rossi, Peter E., 2000. "Reply to Nobile," Journal of Econometrics, Elsevier, vol. 99(2), pages 347-348, December.

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    2. Gary Koop, 2001. "Modeling the Evolution of Distributions: An Application to Major League Baseball," Edinburgh School of Economics Discussion Paper Series 71, Edinburgh School of Economics, University of Edinburgh.
    3. Imai, Kosuke & van Dyk, David A., 2005. "A Bayesian analysis of the multinomial probit model using marginal data augmentation," Journal of Econometrics, Elsevier, vol. 124(2), pages 311-334, February.

  19. McCulloch, Robert E. & Polson, Nicholas G. & Rossi, Peter E., 2000. "A Bayesian analysis of the multinomial probit model with fully identified parameters," Journal of Econometrics, Elsevier, vol. 99(1), pages 173-193, November.

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    2. Mark D. Flood & John C. Liechty & Thomas Piontek, 2015. "Systemwide Commonalities in Market Liquidity," Working Papers 15-11, Office of Financial Research, US Department of the Treasury, revised 14 Dec 2016.
    3. Sylvia Kaufmann, 2014. "K-state switching models with time-varying transition distributions – Does credit growth signal stronger effects of variables on inflation?," Working Papers 14.04, Swiss National Bank, Study Center Gerzensee.
    4. Ando, Tomohiro & Bai, Jushan & Li, Kunpeng, 2022. "Bayesian and maximum likelihood analysis of large-scale panel choice models with unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 230(1), pages 20-38.
    5. Paleti, Rajesh, 2018. "Generalized multinomial probit Model: Accommodating constrained random parameters," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 248-262.
    6. Mohamed Lachaab & Asim Ansari & Kamel Jedidi & Abdelwahed Trabelsi, 2006. "Modeling preference evolution in discrete choice models: A Bayesian state-space approach," Quantitative Marketing and Economics (QME), Springer, vol. 4(1), pages 57-81, March.
    7. Rub'en Loaiza-Maya & Didier Nibbering, 2022. "Fast variational Bayes methods for multinomial probit models," Papers 2202.12495, arXiv.org, revised Oct 2022.
    8. Aiste Ruseckaite & Dennis Fok & Peter Goos, 2016. "Flexible Mixture-Amount Models for Business and Industry using Gaussian Processes," Tinbergen Institute Discussion Papers 16-075/III, Tinbergen Institute.
    9. Robert Zeithammer & Peter Lenk, 2006. "Bayesian estimation of multivariate-normal models when dimensions are absent," Quantitative Marketing and Economics (QME), Springer, vol. 4(3), pages 241-265, September.
    10. Sumeetpal S. Singh & Nicolas Chopin & Nick Whiteley, 2010. "Bayesian Learning of Noisy Markov Decision Processes," Working Papers 2010-36, Center for Research in Economics and Statistics.
    11. Lawrence Kessler & Murat Munkin, 2015. "Bayesian estimation of panel data fractional response models with endogeneity: an application to standardized test rates," Empirical Economics, Springer, vol. 49(1), pages 81-114, August.
    12. Zhang, Xiao & Boscardin, W. John & Belin, Thomas R. & Wan, Xiaohai & He, Yulei & Zhang, Kui, 2015. "A Bayesian method for analyzing combinations of continuous, ordinal, and nominal categorical data with missing values," Journal of Multivariate Analysis, Elsevier, vol. 135(C), pages 43-58.
    13. 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.
    14. Munkin, Murat K. & Trivedi, Pravin K., 2008. "Bayesian analysis of the ordered probit model with endogenous selection," Journal of Econometrics, Elsevier, vol. 143(2), pages 334-348, April.
    15. Linhai Wu & Xiaolin Liu & Dian Zhu & Hongsha Wang & Shuxian Wang & Lingling Xu, 2015. "Simulation of Market Demand for Traceable Pork with Different Levels of Safety Information: A Case Study in Chinese Consumers," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 63(4), pages 513-537, December.
    16. Hongjai Rhee & Minsoo Park, 2011. "Fixed-to-mobile call substitution and telephony market definition in Korea," Journal of Regulatory Economics, Springer, vol. 40(2), pages 198-218, October.
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    18. Gary Koop, 2001. "Modeling the Evolution of Distributions: An Application to Major League Baseball," Edinburgh School of Economics Discussion Paper Series 71, Edinburgh School of Economics, University of Edinburgh.
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    6. Nitin Mehta, 2007. "Investigating Consumers' Purchase Incidence and Brand Choice Decisions Across Multiple Product Categories: A Theoretical and Empirical Analysis," Marketing Science, INFORMS, vol. 26(2), pages 196-217, 03-04.
    7. Govindasamy, Ramu & Kumaraswamy, Anicham & Puduri, Venkata S. & Onyango, Benjamin M., 2006. "Demographic Characteristics of Consumers who Read Grocery Brochures Regularly and Those who are willing to Switch Supermarkets to Buy Advertised Specials: An Analysis," P Series 36718, Rutgers University, Department of Agricultural, Food and Resource Economics.
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    1. Steven Tenn, 2006. "Avoiding aggregation bias in demand estimation: A multivariate promotional disaggregation approach," Quantitative Marketing and Economics (QME), Springer, vol. 4(4), pages 383-405, December.
    2. Harald J. van Heerde & Peter S. H. Leeflang & Dick R. Wittink, 2004. "Decomposing the Sales Promotion Bump with Store Data," Marketing Science, INFORMS, vol. 23(3), pages 317-334, December.
    3. Koen Pauwels & Shuba Srinivasan, 2004. "Who Benefits from Store Brand Entry?," Marketing Science, INFORMS, vol. 23(3), pages 364-390, July.
    4. Zizhuo Wang & Chaolin Yang & Hongsong Yuan & Yaowu Zhang, 2021. "Aggregation Bias in Estimating Log‐Log Demand Function," Production and Operations Management, Production and Operations Management Society, vol. 30(11), pages 3906-3922, November.
    5. K. Sudhir, 2001. "Structural Analysis of Manufacturer Pricing in the Presence of a Strategic Retailer," Marketing Science, INFORMS, vol. 20(3), pages 244-264, October.
    6. Siotis Georges & Martínez-Granado Maite, 2010. "Sabotaging Entry: An Estimation of Damages in the Directory Enquiry Service Market," Review of Law & Economics, De Gruyter, vol. 6(1), pages 1-57, April.
    7. Little, John D. C., 1998. "Integrated measures of sales, merchandising, and distribution," Working papers WP 3997-98., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    8. David Besanko & Sachin Gupta & Dipak Jain, 1998. "Logit Demand Estimation Under Competitive Pricing Behavior: An Equilibrium Framework," Management Science, INFORMS, vol. 44(11-Part-1), pages 1533-1547, November.
    9. Mingyu Joo & Michael L. Thompson & Greg M. Allenby6, 2019. "Optimal Product Design by Sequential Experiments in High Dimensions," Management Science, INFORMS, vol. 65(7), pages 3235-3254, July.
    10. Vidal-Sanz, Jose M., 2013. "A nonlinear product differentiation model à la Cournot: a new look to the newspapers industry," DEE - Working Papers. Business Economics. WB wb132002, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    11. Barreiro, Jose Manuel & Ruzo, Emilio & Losada, Fernando, 2004. "Modelo logit multinomial y regresion con variables ficticias: una aplicacion regional al sector lacteo," Economic Development 81, University of Santiago de Compostela. Faculty of Economics and Business. Econometrics..
    12. Peter Boatwright & Sanjay Dhar & Peter Rossi, 2004. "The Role of Retail Competition, Demographics and Account Retail Strategy as Drivers of Promotional Sensitivity," Quantitative Marketing and Economics (QME), Springer, vol. 2(2), pages 169-190, June.
    13. Cohen, Michael, 2010. "A Structured Covariance Probit Demand Model," Research Reports 149970, University of Connecticut, Food Marketing Policy Center.
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    15. Birolini, Sebastian & Cattaneo, Mattia & Malighetti, Paolo & Morlotti, Chiara, 2020. "Integrated origin-based demand modeling for air transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    16. Koen Pauwels & Imran Currim & Marnik Dekimpe & Dominique Hanssens & Natalie Mizik & Eric Ghysels & Prasad Naik, 2004. "Modeling Marketing Dynamics by Time Series Econometrics," Marketing Letters, Springer, vol. 15(4), pages 167-183, December.
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    21. Srinivasan, S. & Pauwels, K.H. & Hanssens, D.M. & Dekimpe, M.G., 2002. "Do Promotions Benefit Manufacturers, Retailers or Both?," ERIM Report Series Research in Management ERS-2002-21-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    22. Vibhanshu Abhishek & Kartik Hosanagar & Peter S. Fader, 2015. "Aggregation Bias in Sponsored Search Data: The Curse and the Cure," Marketing Science, INFORMS, vol. 34(1), pages 59-77, January.
    23. Gauri, Dinesh K. & Ratchford, Brian & Pancras, Joseph & Talukdar, Debabrata, 2017. "An Empirical Analysis of the Impact of Promotional Discounts on Store Performance," Journal of Retailing, Elsevier, vol. 93(3), pages 283-303.

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    1. Pierre-Olivier Goffard & Patrick Laub, 2021. "Approximate Bayesian Computations to fit and compare insurance loss models," Post-Print hal-02891046, HAL.
    2. Daniele Bianchi & Massimo Guidolin & Francesco Ravazzolo, 2018. "Dissecting the 2007–2009 Real Estate Market Bust: Systematic Pricing Correction or Just a Housing Fad?," Journal of Financial Econometrics, Oxford University Press, vol. 16(1), pages 34-62.
    3. Yong Li & Jun Yu, 2011. "Bayesian Hypothesis Testing in Latent Variable Models," Working Papers 11-2011, Singapore Management University, School of Economics.
    4. Goffard, Pierre-Olivier & Laub, Patrick J., 2021. "Approximate Bayesian Computations to fit and compare insurance loss models," Insurance: Mathematics and Economics, Elsevier, vol. 100(C), pages 350-371.
    5. Geweke, John & Zhou, Guofu, 1996. "Measuring the Pricing Error of the Arbitrage Pricing Theory," The Review of Financial Studies, Society for Financial Studies, vol. 9(2), pages 557-587.
    6. Uppal, Raman & Kogan, Leonid, 2002. "Risk Aversion and Optimal Portfolio Policies in Partial and General Equilibrium Economies," CEPR Discussion Papers 3306, C.E.P.R. Discussion Papers.
    7. Fletcher, Jonathan, 2018. "Bayesian tests of global factor models," Journal of Empirical Finance, Elsevier, vol. 48(C), pages 279-289.
    8. Cederburg, Scott & O’Doherty, Michael S., 2015. "Asset-pricing anomalies at the firm level," Journal of Econometrics, Elsevier, vol. 186(1), pages 113-128.
    9. Kandel, S. & McCulloch, R. & Stambaugh, R.F., 1991. "Bayesian Inference and Portfolio Efficiency," Weiss Center Working Papers 8-91, Wharton School - Weiss Center for International Financial Research.
    10. Ouysse, Rachida & Kohn, Robert, 2010. "Bayesian variable selection and model averaging in the arbitrage pricing theory model," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 3249-3268, December.
    11. Chen, Hong-Yi & Lee, Alice C. & Lee, Cheng-Few, 2015. "Alternative errors-in-variables models and their applications in finance research," The Quarterly Review of Economics and Finance, Elsevier, vol. 58(C), pages 213-227.
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    13. Charles S. Bos & Ronald J. Mahieu & Herman K. van Dijk, 2000. "Daily Exchange Rate Behaviour and Hedging of Currency Risk," Econometric Society World Congress 2000 Contributed Papers 0504, Econometric Society.
    14. Daniele Bianchi & Massimo Guidolin & Francesco Ravazzolo, 2015. "Macroeconomic Factors Strike Back: A Bayesian Change-Point Model of Time-Varying Risk Exposures and Premia in the U.S. Cross-Section," Working Papers 550, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    15. Fletcher, Jonathan, 2019. "Model comparison tests of linear factor models in U.K. stock returns," Finance Research Letters, Elsevier, vol. 28(C), pages 281-291.
    16. Doron Avramov & Si Cheng & Lior Metzker & Stefan Voigt, 2023. "Integrating Factor Models," Journal of Finance, American Finance Association, vol. 78(3), pages 1593-1646, June.
    17. Manuel Ammann & Michael Verhofen, 2008. "Testing Conditional Asset Pricing Models Using a Markov Chain Monte Carlo Approach," European Financial Management, European Financial Management Association, vol. 14(3), pages 391-418, June.
    18. Feng, Guanhao & He, Jingyu, 2022. "Factor investing: A Bayesian hierarchical approach," Journal of Econometrics, Elsevier, vol. 230(1), pages 183-200.
    19. Detlef Seese & Christof Weinhardt & Frank Schlottmann (ed.), 2008. "Handbook on Information Technology in Finance," International Handbooks on Information Systems, Springer, number 978-3-540-49487-4, September.
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    23. Francisco Barillas & Jay Shanken, 2018. "Comparing Asset Pricing Models," Journal of Finance, American Finance Association, vol. 73(2), pages 715-754, April.
    24. Chu Zhang, 2009. "Testing the APT with the Maximum Sharpe Ratio of Extracted Factors," Management Science, INFORMS, vol. 55(7), pages 1255-1266, July.
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    1. Puneet Handa, 2006. "Does Stock Return Predictability Imply Improved Asset Allocation and Performance? Evidence from the U.S. Stock Market (1954–2002)," The Journal of Business, University of Chicago Press, vol. 79(5), pages 2423-2468, September.
    2. Wei, Steven X. & Zhang, Chu, 2003. "Statistical and economic significance of stock return predictability: a mean-variance analysis," Journal of Multinational Financial Management, Elsevier, vol. 13(4-5), pages 443-463, December.
    3. Raffaella Giacomini & Halbert White, 2006. "Tests of Conditional Predictive Ability," Econometrica, Econometric Society, vol. 74(6), pages 1545-1578, November.
    4. Geweke, John & Zhou, Guofu, 1996. "Measuring the Pricing Error of the Arbitrage Pricing Theory," The Review of Financial Studies, Society for Financial Studies, vol. 9(2), pages 557-587.
    5. Erdinc Altay, 2003. "The Effect of Macroeconomic Factors on Asset Returns: A Comparative Analysis of the German and the Turkish Stock Markets in an APT Framework," Finance 0307006, University Library of Munich, Germany.
    6. Fletcher, Jonathan, 2018. "Bayesian tests of global factor models," Journal of Empirical Finance, Elsevier, vol. 48(C), pages 279-289.
    7. Erik Kole & Reza Brink, "undated". "Constructing and Using Double-adjusted Alphas to Analyze Mutual Fund Performance," Tinbergen Institute Discussion Papers 19-029/IV, Tinbergen Institute.
    8. Kandel, S. & McCulloch, R. & Stambaugh, R.F., 1991. "Bayesian Inference and Portfolio Efficiency," Weiss Center Working Papers 8-91, Wharton School - Weiss Center for International Financial Research.
    9. Doron Avramov & Guofu Zhou, 2010. "Bayesian Portfolio Analysis," Annual Review of Financial Economics, Annual Reviews, vol. 2(1), pages 25-47, December.
    10. Ouysse, Rachida & Kohn, Robert, 2010. "Bayesian variable selection and model averaging in the arbitrage pricing theory model," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 3249-3268, December.
    11. McCracken,M.W. & West,K.D., 2001. "Inference about predictive ability," Working papers 14, Wisconsin Madison - Social Systems.
    12. Diebold, Francis X & Mariano, Roberto S, 1995. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 253-263, July.
    13. Kevin L. Reffett & Frank Schorfheide, 2000. "Evaluating Asset Pricing Implications of DSGE Models," Econometric Society World Congress 2000 Contributed Papers 1630, Econometric Society.
    14. Pablo Pincheira & Roberto Álvarez, 2012. "Evaluation of Short Run Inflation Forecasts in Chile," Working Papers Central Bank of Chile 674, Central Bank of Chile.
    15. Charles S. Bos & Ronald J. Mahieu & Herman K. van Dijk, 2000. "Daily Exchange Rate Behaviour and Hedging of Currency Risk," Econometric Society World Congress 2000 Contributed Papers 0504, Econometric Society.
    16. Dongchul Cho & Hali J. Edison & Kenneth D. West, 1993. "A utility based comparison of some models of exchange rate volatility," International Finance Discussion Papers 441, Board of Governors of the Federal Reserve System (U.S.).
    17. Daniele Bianchi & Massimo Guidolin & Francesco Ravazzolo, 2015. "Macroeconomic Factors Strike Back: A Bayesian Change-Point Model of Time-Varying Risk Exposures and Premia in the U.S. Cross-Section," Working Papers 550, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    18. Fletcher, Jonathan, 2019. "Model comparison tests of linear factor models in U.K. stock returns," Finance Research Letters, Elsevier, vol. 28(C), pages 281-291.
    19. Stutzer, Michael, 1995. "A Bayesian approach to diagnosis of asset pricing models," Journal of Econometrics, Elsevier, vol. 68(2), pages 367-397, August.
    20. Avramov, Doron & Chordia, Tarun, 2006. "Predicting stock returns," Journal of Financial Economics, Elsevier, vol. 82(2), pages 387-415, November.
    21. Francis X. Diebold & Jose A. Lopez, 1996. "Forecast Evaluation and Combination," NBER Technical Working Papers 0192, National Bureau of Economic Research, Inc.
    22. Lars Peter Hansen & Ravi Jagannathan, 1994. "Assessing Specification Errors in Stochastic Discount Factor Models," NBER Technical Working Papers 0153, National Bureau of Economic Research, Inc.
    23. Hnatkovska, Viktoria, 2010. "Home bias and high turnover: Dynamic portfolio choice with incomplete markets," Journal of International Economics, Elsevier, vol. 80(1), pages 113-128, January.
    24. Detlef Seese & Christof Weinhardt & Frank Schlottmann (ed.), 2008. "Handbook on Information Technology in Finance," International Handbooks on Information Systems, Springer, number 978-3-540-49487-4, September.
    25. Jacobs, Michael & Karagozoglu, Ahmet K., 2014. "On the characteristics of dynamic correlations between asset pairs," Research in International Business and Finance, Elsevier, vol. 32(C), pages 60-82.
    26. Gregory Connor & Lisa R. Goldberg & Robert A. Korajczyk, 2010. "Portfolio Risk Analysis," Economics Books, Princeton University Press, edition 1, number 9224.
    27. Jones, Christopher S., 2001. "Extracting factors from heteroskedastic asset returns," Journal of Financial Economics, Elsevier, vol. 62(2), pages 293-325, November.
    28. Stephen E. Satchell & Shaun A. Bond, 2004. "Asymmetry, Loss Aversion and Forecasting," Econometric Society 2004 Australasian Meetings 160, Econometric Society.
    29. Dorfman, Jeffrey H., 1995. "A numerical bayesian test for cointegration of AR processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 289-324.
    30. Pin-Huang Chou & Guofu Zhou, 2006. "Using Bootstrap to Test Portfolio Efficiency," Annals of Economics and Finance, Society for AEF, vol. 7(2), pages 217-249, November.
    31. Pablo Pincheira, 2010. "A Real Time Evaluation of the Central Bank of Chile GDP Growth Forecasts," Working Papers Central Bank of Chile 556, Central Bank of Chile.
    32. Ferson, Wayne E & Korajczyk, Robert A, 1995. "Do Arbitrage Pricing Models Explain the Predictability of Stock Returns?," The Journal of Business, University of Chicago Press, vol. 68(3), pages 309-349, July.

  36. Rossi, Peter E, 1986. "Statistical Properties of Generalized Method-of-Moments Estimators of Structural Parameters Obtained from Financial Market Data: Comment," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(4), pages 421-422, October.

    Cited by:

    1. Michal Pakoš, 2011. "Estimating Intertemporal and Intratemporal Substitutions When Both Income and Substitution Effects Are Present: The Role of Durable Goods," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(3), pages 439-454, July.
    2. Becker, Ralf, 1998. "Die verallgemeinerte Momentenmethode: Darstellung und Anwendung," Arbeitspapiere des Instituts für Statistik und Ökonometrie 16, Johannes Gutenberg-Universität Mainz, Institut für Statistik und Ökonometrie.

  37. Peter E. Rossi & Arnold Zellner, 1986. "Evaluating the methodology of social experiments," Conference Series ; [Proceedings], Federal Reserve Bank of Boston, vol. 30, pages 131-166.

    Cited by:

    1. Glen G. Cain, 1986. "The issues of marital stability and family composition and the income maintenance experiments," Conference Series ; [Proceedings], Federal Reserve Bank of Boston, vol. 30, pages 60-105.
    2. Rodríguez, Daniel A. & Levine, Jonathan & Agrawal, Asha Weinstein & Song, Jumin, 2011. "Can information promote transportation-friendly location decisions? A simulation experiment," Journal of Transport Geography, Elsevier, vol. 19(2), pages 304-312.
    3. James J. Heckman & Jeffrey A. Smith, 1995. "Assessing the Case for Social Experiments," Journal of Economic Perspectives, American Economic Association, vol. 9(2), pages 85-110, Spring.

  38. Rossi, Peter E., 1985. "Comparison of alternative functional forms in production," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 345-361.
    See citations under working paper version above.
  39. Zellner, Arnold & Rossi, Peter E., 1984. "Bayesian analysis of dichotomous quantal response models," Journal of Econometrics, Elsevier, vol. 25(3), pages 365-393, July.

    Cited by:

    1. A. M. Abd El-Raheem & M. H. Abu-Moussa & Marwa M. Mohie El-Din & E. H. Hafez, 2020. "Accelerated Life Tests under Pareto-IV Lifetime Distribution: Real Data Application and Simulation Study," Mathematics, MDPI, vol. 8(10), pages 1-19, October.
    2. Aristide Houndetoungan & Abdoul Haki Maoude, 2024. "Inference for Two-Stage Extremum Estimators," Papers 2402.05030, arXiv.org, revised Nov 2024.
    3. Shen, Edward Z. & Perloff, Jeffrey M., 2001. "Maximum entropy and Bayesian approaches to the ratio problem," Journal of Econometrics, Elsevier, vol. 104(2), pages 289-313, September.
    4. Ponce, Aldo F, 2013. "What Do Parties Do in Congress? Explaining the Allocation of Legislative Specialization," MPRA Paper 46573, University Library of Munich, Germany.
    5. Gabriele B. Durrant & Chris Skinner, 2006. "Using data augmentation to correct for non‐ignorable non‐response when surrogate data are available: an application to the distribution of hourly pay," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(3), pages 605-623, July.
    6. William E. Griffiths & R. Carter Hill & Christopher J. O'Donnell, 2001. "Including Prior Information in Probit Model Estimation," Department of Economics - Working Papers Series 816, The University of Melbourne.
    7. Mittelhammer, Ron C. & Judge, George, 2011. "A family of empirical likelihood functions and estimators for the binary response model," Journal of Econometrics, Elsevier, vol. 164(2), pages 207-217, October.
    8. Marsh, L.C.Lawrence C., 2004. "The econometrics of higher education: editor's view," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 1-18.
    9. Peter Haan & Daniel Kemptner & Arne Uhlendorff, 2015. "Bayesian procedures as a numerical tool for the estimation of an intertemporal discrete choice model," Empirical Economics, Springer, vol. 49(3), pages 1123-1141, November.
    10. Min, Chung-ki, 1998. "A Gibbs sampling approach to estimation and prediction of time-varying-parameter models," Computational Statistics & Data Analysis, Elsevier, vol. 27(2), pages 171-194, April.
    11. Frühwirth-Schnatter, Sylvia & Wagner, Helga, 2008. "Marginal likelihoods for non-Gaussian models using auxiliary mixture sampling," Computational Statistics & Data Analysis, Elsevier, vol. 52(10), pages 4608-4624, June.
    12. Peter E. Rossi, 1984. "Convergence of Integrals Encountered in Dichotomous Dependent Variable Problems," Discussion Papers 588, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    13. Fruhwirth-Schnatter, Sylvia & Fruhwirth, Rudolf, 2007. "Auxiliary mixture sampling with applications to logistic models," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3509-3528, April.
    14. Edsel A. Peña & Wensong Wu & Walter Piegorsch & Ronald W. West & LingLing An, 2017. "Model Selection and Estimation with Quantal‐Response Data in Benchmark Risk Assessment," Risk Analysis, John Wiley & Sons, vol. 37(4), pages 716-732, April.
    15. DeSarbo, Wayne S. & Kim, Youngchan & Fong, Duncan, 1998. "A Bayesian multidimensional scaling procedure for the spatial analysis of revealed choice data," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 79-108, November.
    16. Vijverberg, Wim P. M., 1997. "Monte Carlo evaluation of multivariate normal probabilities," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 281-307.
    17. Groenewald, Pieter C. N. & Mokgatlhe, Lucky, 2005. "Bayesian computation for logistic regression," Computational Statistics & Data Analysis, Elsevier, vol. 48(4), pages 857-868, April.
    18. Poirier, Dale J., 1996. "A Bayesian analysis of nested logit models," Journal of Econometrics, Elsevier, vol. 75(1), pages 163-181, November.
    19. Xiaobin Yang & Keying Ye & Yanping Wang, 2011. "A Study of the Probit Model with Latent Variables in Phase I Clinical Trials," Working Papers 0030, College of Business, University of Texas at San Antonio.
    20. John Geweke & Michael P. Keane, 1997. "Mixture of normals probit models," Staff Report 237, Federal Reserve Bank of Minneapolis.
    21. Johan Koskinen & Sten-Ã…ke Stenberg, 2012. "Bayesian Analysis of Multilevel Probit Models for Data With Friendship Dependencies," Journal of Educational and Behavioral Statistics, , vol. 37(2), pages 203-230, April.
    22. Laura Onofri & Anil Markandya, 2024. "Computing the social costs of carbon through Coase bargaining in the context of an offsetting program in the Venetian lagoon," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-9, December.
    23. Posch Peter N. & Loeffler Gunter & Schoene Christiane, 2005. "Bayesian Methods for Improving Credit Scoring Models," Finance 0505024, University Library of Munich, Germany.
    24. Poirier, Dale J., 2012. "Perfect classifiers in partial observability bivariate probit," Economics Letters, Elsevier, vol. 116(3), pages 361-362.
    25. Aristide Houndetoungan & Abdoul Haki Maoude, 2024. "Inference for Two-Stage Extremum Estimators," THEMA Working Papers 2024-01, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    26. Stuart R. Lipsitz & Garrett M. Fitzmaurice & Roger D. Weiss, 2020. "Using Multiple Imputation with GEE with Non-monotone Missing Longitudinal Binary Outcomes," Psychometrika, Springer;The Psychometric Society, vol. 85(4), pages 890-904, December.
    27. Hop, J. P. & van Duk, H. K., 1990. "Two Algorithms For The Computation Of Posterior Moments And Densities Using Monte Carlo Integration," Econometric Institute Archives 272483, Erasmus University Rotterdam.
    28. Naranjo, L. & Martín, J. & Pérez, C.J., 2014. "Bayesian binary regression with exponential power link," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 464-476.
    29. Marsh, L.C.Lawrence C. & Zellner, Arnold, 2004. "Bayesian solutions to graduate admissions and related selection problems," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 405-426.
    30. Dorfman, Jeffrey H., 1995. "A numerical bayesian test for cointegration of AR processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 289-324.
    31. Xiaoyong Li & Giuseppe T. Cirella & Yali Wen & Yi Xie, 2020. "Farmers’ Intentions to Lease Forestland: Evidence from Rural China," Land, MDPI, vol. 9(3), pages 1-18, March.

Books

  1. Peter E. Rossi, 2014. "Bayesian Non- and Semi-parametric Methods and Applications," Economics Books, Princeton University Press, edition 1, number 10259.

    Cited by:

    1. Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2019. "Forecasting with a Panel Tobit Model," CAEPR Working Papers 2019-005, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    2. Gordon Anderson, Alessio Farcomeni, Maria Grazia Pittau and Roberto Zelli, 2019. "Multidimensional Nation Wellbeing, More Equal yet More Polarized: An Analysis of the Progress of Human Development Since 1990," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 44(1), pages 1-22, March.
    3. Laura Liu, 2020. "Density Forecasts in Panel Data Models: A Semiparametric Bayesian Perspective," CAEPR Working Papers 2020-003, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    4. Hyowon Kim & Greg M. Allenby, 2022. "Integrating Textual Information into Models of Choice and Scaled Response Data," Marketing Science, INFORMS, vol. 41(4), pages 815-830, July.
    5. Gergely Akos Ganics, 2017. "Optimal density forecast combinations," Working Papers 1751, Banco de España.
    6. Wayne Taylor & Anand Bodapati, 2024. "The Effect of Gambling Outcomes on Casino Return Times with Scalable DDC," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 11(1), pages 1-28, December.
    7. Weber, Anett & Steiner, Winfried J., 2021. "Modeling price response from retail sales: An empirical comparison of models with different representations of heterogeneity," European Journal of Operational Research, Elsevier, vol. 294(3), pages 843-859.
    8. Ali Hortacsu & Olivia R. Natan & Hayden Parsley & Timothy Schwieg & Kevin R. Williams, 2021. "Incorporating Search and Sales Information in Demand Estimation," Cowles Foundation Discussion Papers 2313R1, Cowles Foundation for Research in Economics, Yale University, revised Mar 2023.
    9. Jean-Marie Dufour & Richard Luger, 2017. "Identification-robust moment-based tests for Markov switching in autoregressive models," Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 713-727, October.
    10. Ozonder, Gozde & Miller, Eric J., 2021. "Longitudinal investigation of skeletal activity episode timing decisions – A copula approach," Journal of choice modelling, Elsevier, vol. 40(C).
    11. Caio Waisman, 2024. "Bayesian estimation of finite mixtures of Tobit models," Papers 2411.09771, arXiv.org.
    12. Rilling, Benedikt & Kurz, Peter & Herbes, Carsten, 2024. "Renewable gases in the heating market: Identifying consumer preferences through a Discrete Choice Experiment," Energy Policy, Elsevier, vol. 184(C).
    13. Matthew Dimick & Daniel Stegmueller, 2015. "The Political Economy of Risk and Ideology," SOEPpapers on Multidisciplinary Panel Data Research 809, DIW Berlin, The German Socio-Economic Panel (SOEP).
    14. Anoek Castelein & Dennis Fok & Richard Paap, 2020. "Heterogeneous variable selection in nonlinear panel data models: A semiparametric Bayesian approach," Tinbergen Institute Discussion Papers 20-061/III, Tinbergen Institute.
    15. Namin, Aidin & Dehdashti, Yashar, 2019. "A “hidden†side of consumer grocery shopping choice," Journal of Retailing and Consumer Services, Elsevier, vol. 48(C), pages 16-27.
    16. Burghardt, Elliot & Sewell, Daniel & Cavanaugh, Joseph, 2022. "Agglomerative and divisive hierarchical Bayesian clustering," Computational Statistics & Data Analysis, Elsevier, vol. 176(C).
    17. Ana Cristina Pereira Das Neves, 2018. "The Mass Media Transmission Of Central Bank Communication Under Uncertainty," Anais do XLIV Encontro Nacional de Economia [Proceedings of the 44th Brazilian Economics Meeting] 54, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    18. Sparnaaij, Martijn & Yuan, Yufei & Daamen, Winnie & Duives, Dorine C., 2024. "Using pedestrian modelling to inform virus transmission mitigation policies: A novel activity scheduling model to enable virus transmission risk assessment in a restaurant environment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 633(C).
    19. Ali Hortacsu & Olivia R. Natan & Hayden Parsley & Timothy Schwieg & Kevin R. Williams, 2021. "Incorporating Search and Sales Information in Demand Estimation," Cowles Foundation Discussion Papers 2313, Cowles Foundation for Research in Economics, Yale University.
    20. Laura Liu, 2017. "Density Forecasts in Panel Models: A semiparametric Bayesian Perspective," PIER Working Paper Archive 17-006, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 28 Apr 2017.
    21. Simonov, Andrey & Rao, Justin, 2017. "Demand for (Un)Biased News: The Role of Government Control in Online News Markets," Working Papers 261, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State.
    22. Max J. Pachali & Peter Kurz & Thomas Otter, 2020. "How to generalize from a hierarchical model?," Quantitative Marketing and Economics (QME), Springer, vol. 18(4), pages 343-380, December.
    23. Philipp Aschersleben & Winfried J. Steiner, 2022. "A semiparametric approach to estimating reference price effects in sales response models," Journal of Business Economics, Springer, vol. 92(4), pages 591-643, May.
    24. Gordon Anderson & Thomas Fruehauf & Maria Grazia Pittau & Roberto Zelli, 2015. "Evaluating Progress Toward an Equal Opportunity Goal: Assessing the German Educational Reforms of the First Decade of the 21st Century," Working Papers tecipa-552, University of Toronto, Department of Economics.
    25. Gordon Anderson & Maria Grazia Pittau & Roberto Zelli, 2020. "Measuring the progress of equality of educational opportunity in absence of cardinal comparability," METRON, Springer;Sapienza Università di Roma, vol. 78(2), pages 155-174, August.
    26. Ryan Dew & Asim Ansari, 2018. "Bayesian Nonparametric Customer Base Analysis with Model-Based Visualizations," Marketing Science, INFORMS, vol. 37(2), pages 216-235, March.

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