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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. Athey, Susan & Luca, Michael, 2018. "Economists (and Economics) in Tech Companies," Research Papers 3735, Stanford University, Graduate School of Business.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Feng Deng, 2019. "The sharing economy and urban property rights," Asia-Pacific Journal of Regional Science, Springer, vol. 3(1), pages 121-136, February.
    7. 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.
    8. 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.
    9. Manav Raj & Arun Sundararajan & Calum You, 2020. "COVID-19 and Digital Resilience: Evidence from Uber Eats," Papers 2006.07204, arXiv.org, revised Feb 2023.
    10. Paul Oyer, 2020. "The gig economy," IZA World of Labor, Institute of Labor Economics (IZA), pages 471-471, January.
    11. German Cubas & Chinhui Juhn & Pedro Silos, 2020. "Coordinated Work Schedules and the Gender Wage Gap," DETU Working Papers 2002, Department of Economics, Temple University.
    12. 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.
    13. Yanwen Wang & Chunhua Wu & Ting Zhu, 2019. "Mobile Hailing Technology and Taxi Driving Behaviors," Marketing Science, INFORMS, vol. 38(5), pages 734-755, September.
    14. 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.
    15. Hanson, Gordon H., 2023. "Immigration and Regional Specialization in AI," SocArXiv 9a45d, Center for Open Science.
    16. 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).
    17. 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.
    18. 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).
    19. 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).
    20. Kesternich, Iris & Schumacher, H. & Siflinger, Bettina & Valder, Franziska, 2018. "Reservation Wages and Labor Supply," Discussion Paper 2018-054, Tilburg University, Center for Economic Research.
    21. 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.
    22. 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.
    23. 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).
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. David R. Agrawal & Weihua Zhao, 2023. "Taxing Uber," CESifo Working Paper Series 10313, CESifo.
    29. 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.
    30. 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.
    31. 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.
    32. 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.
    33. 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.
    34. 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.
    35. Maier, Michael F. & Viete, Steffen & Ody, Margard, 2017. "Plattformbasierte Erwerbsarbeit: Stand der empirischen Forschung," IZA Research Reports 81, Institute of Labor Economics (IZA).
    36. 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.
    37. 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.
    38. 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.
    39. 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.
    40. 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.
    41. 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.
    42. Yu Jeffrey Hu & Jeroen Rombouts & Ines Wilms, 2023. "Fast Forecasting of Unstable Data Streams for On-Demand Service Platforms," Papers 2303.01887, arXiv.org.
    43. 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.
    44. Yang Pan & LiangFei Qiu, 2018. "Is Uber Helping or Hurting Mass Transit? An Empirical Investigation," Working Papers 18-11, NET Institute.
    45. 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.
    46. 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).
    47. 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.
    48. 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.
    49. Wang, Hai & Yang, Hai, 2019. "Ridesourcing systems: A framework and review," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 122-155.
    50. Ivaldi, Marc & Palikot, Emil, 2023. "Sharing when stranger equals danger: Ridesharing during Covid-19 pandemic," Transport Policy, Elsevier, vol. 141(C), pages 221-231.
    51. Cantarella, Michele & Strozzi, Chiara, 2022. "Piecework and Job Search in the Platform Economy," IZA Discussion Papers 15775, Institute of Labor Economics (IZA).
    52. Fanfani Bernardo & Passerini Filippo, 2024. "Do Alternative Work Arrangements Substitute Standard Employment? Evidence from Worker-level Data," Working papers 085, Department of Economics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino.
    53. 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.
    54. 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.
    55. 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.
    56. David R. Agrawal & Kenneth Tester, 2023. "State Taxation of Nonresident Income and the Location of Work," CESifo Working Paper Series 10353, CESifo.
    57. 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.
    58. 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).
    59. Alisa Tazhitdinova, 2020. "Increasing Hours Worked: Moonlighting Responses to a Large Tax Reform," NBER Working Papers 27726, National Bureau of Economic Research, Inc.
    60. 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.
    61. Teltser, Keith & Lennon, Conor & Burgdorf, Jacob, 2021. "Do ridesharing services increase alcohol consumption?," Journal of Health Economics, Elsevier, vol. 77(C).
    62. Ge, Yanbo & Knittel, Christopher R. & MacKenzie, Don & Zoepf, Stephen, 2020. "Racial discrimination in transportation network companies," Journal of Public Economics, Elsevier, vol. 190(C).
    63. 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.
    64. Clemens, Jeffrey, 2019. "Making Sense of the Minimum Wage: A Roadmap for Navigating Recent Research," MPRA Paper 94324, University Library of Munich, Germany.
    65. 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.
    66. Cosaert, Sam & Nieto Castro, Adrian & Tatsiramos, Konstantinos, 2023. "Temperature and the Timing of Work," IZA Discussion Papers 16480, Institute of Labor Economics (IZA).
    67. Lukas Kiessling & Jonas Radbruch & Sebastian Schaube, 2022. "Self-Selection of Peers and Performance," Management Science, INFORMS, vol. 68(11), pages 8184-8201, November.
    68. 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.
    69. 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.
    70. 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.
    71. 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.
    72. 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.
    73. 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.
    74. 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.
    75. 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.
    76. 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.
    77. 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.
    78. 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.
    79. 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.
    80. David P. Baron, 2018. "Disruptive Entrepreneurship and Dual Purpose Strategies: The Case of Uber," Strategy Science, INFORMS, vol. 3(2), pages 439-462, June.
    81. Jin Liu & Xingchen Xu & Yongjun Li & Yong Tan, 2023. ""Generate" the Future of Work through AI: Empirical Evidence from Online Labor Markets," Papers 2308.05201, arXiv.org.
    82. 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.
    83. 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.
    84. 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.
    85. 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.
    86. 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.
    87. 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.
    88. 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.
    89. 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.
    90. Jeon, Junkee & Park, Kyunghyun, 2023. "Optimal job switching and retirement decision," Applied Mathematics and Computation, Elsevier, vol. 443(C).
    91. 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.
    92. Jason Sockin, 2022. "Show Me the Amenity: Are Higher-Paying Firms Better All Around?," CESifo Working Paper Series 9842, CESifo.
    93. 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.
    94. 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.
    95. 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.
    96. Hossain, Mokter & Mozahem, Najib Ali, 2022. "Drivers’ perceptions of the sharing economy for transport services," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    97. 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.
    98. 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).
    99. Rong, Jianxin & Wang, Dazhong, 2023. "Contracting in hierarchical platforms," Economics Letters, Elsevier, vol. 226(C).
    100. 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).
    101. 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.
    102. 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.
    103. 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.
    104. 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.
    105. Bernardo Fanfani & Filippo Passerini, 2024. "Do Alternative Work Arrangements Substitute Standard Employment? Evidence from Worker-Level Data," Working Papers wp1190, Dipartimento Scienze Economiche, Universita' di Bologna.
    106. 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.
    107. 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. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Drake, Coleman & Ryan, Conor & Dowd, Bryan, 2022. "Sources of inertia in the individual health insurance market," Journal of Public Economics, Elsevier, vol. 208(C).
    8. 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.
    9. 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.
    10. Jia, Zhiyang & Vattø, Trine Engh, 2021. "Predicting the path of labor supply responses when state dependence matters," Labour Economics, Elsevier, vol. 71(C).
    11. 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.
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    88. 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.
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    90. Jay Pil Choi & Seung-Hyun Hong & Seonghoon Jeon, 2013. "Local Identity and Persistent Leadership in Market Share Dynamics: Evidence from Deregulation in the Korean Soju Industry," Korean Economic Review, Korean Economic Association, vol. 29, pages 267-304.
    91. 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.
    92. 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.
    93. Olga Novikova & Dmitriy B. Potapov, 2015. "Empirical Analysis of Consumer Purchase Behavior: Interaction between State Dependence and Sensitivity to Marketing-Mix Variables," HSE Working papers WP BRP 48/MAN/2015, National Research University Higher School of Economics.
    94. Maniquet, François & Nosratabadi, Hassan, 2022. "Welfare analysis when choice is status-quo biased," Journal of Mathematical Economics, Elsevier, vol. 102(C).
    95. 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.
    96. Wesley R. Hartmann & Daniel Klapper, 2018. "Super Bowl Ads," Marketing Science, INFORMS, vol. 37(1), pages 78-96, January.
    97. Tamara Bischof & Michael Gerfin & Tobias Mueller, 2021. "Attention Please! Health Plan Choice and (In-)Attention," Diskussionsschriften dp2111, Universitaet Bern, Departement Volkswirtschaft.
    98. 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.
    99. Farina, Tatiana, 2011. "How Do Experience and Shopping Frequency Affect Consumers Brand Choice?," Insper Working Papers wpe_257, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    100. Jean-Pierre Dubé & Günter J. Hitsch & Peter E. Rossi, 2018. "Income and Wealth Effects on Private-Label Demand: Evidence from the Great Recession," Marketing Science, INFORMS, vol. 37(1), pages 22-53, January.
    101. 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.
    102. Janssen, Aljoscha, 2020. "Price Dynamics of Swedish Pharmaceuticals," Working Paper Series 1325, Research Institute of Industrial Economics.
    103. Granlund, David, 2012. "The effect of pharmacies’ right to negotiate discounts on the market share of parallel imported pharmaceuticals," HUI Working Papers 75, HUI Research.
    104. Glady, Nicolas & Lemmens, Aurélie & Croux, Christophe, 2015. "Unveiling the relationship between the transaction timing, spending and dropout behavior of customers," International Journal of Research in Marketing, Elsevier, vol. 32(1), pages 78-93.
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    106. Guy Aridor, 2022. "Market Definition in the Attention Economy: An Experimental Approach," CESifo Working Paper Series 10190, CESifo.
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    108. Ruiz-Aliseda, Francisco, 2016. "When do switching costs make markets more or less competitive?," International Journal of Industrial Organization, Elsevier, vol. 47(C), pages 121-151.
    109. Inyoung Chae & Jihyeon Ha & David A. Schweidel, 2023. "Paywall Suspensions and Digital News Subscriptions," Marketing Science, INFORMS, vol. 42(4), pages 729-745, July.
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    112. 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.
    113. Harris, Matthew C. & Kessler, Lawrence M., 2019. "Habit formation and activity persistence: Evidence from gym equipment," Journal of Economic Behavior & Organization, Elsevier, vol. 166(C), pages 688-708.
    114. 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.
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    118. 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.
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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.
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    235. Guillermo Israilevich, 2004. "Assessing Supermarket Product-Line Decisions: The Impact of Slotting Fees," Quantitative Marketing and Economics (QME), Springer, vol. 2(2), pages 141-167, June.
    236. Yuta KITTAKA, 2018. "Multiproduct Firms, Consumer Search, and Demand Heterogeneity," ISER Discussion Paper 1024r, Institute of Social and Economic Research, Osaka University, revised Oct 2019.
    237. Loreto Lira, 2007. "Why Do Some Prices In The Retail Sector Drop When Demand Rises? Evidence From The Chilean Case," Abante, Escuela de Administracion. Pontificia Universidad Católica de Chile., vol. 10(2), pages 151-168.
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    242. Rennhoff, Adam D. & Serfes, Konstantinos, 2009. "Retailer price distributions and promotional activities," Economics Letters, Elsevier, vol. 103(2), pages 91-95, May.
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    244. Iqbal A. Syed, 2015. "Sales Spotter: An Algorithm to Identify Sale Prices in Point-of-Sale Data," Discussion Papers 2015-13, School of Economics, The University of New South Wales.
    245. Fertő, Imre & Bakucs, Lajos Zoltán, 2009. "Árleszállítások és a kiskereskedelmi árak változása a tejtermékek piacán [Sales and retail price patterns on the market for milk products]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 634-647.
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  7. Eric Jacquier & Nicholas G. Polson & Peter E. Rossi, 1999. "Stochastic Volatility: Univariate and Multivariate Extensions," CIRANO Working Papers 99s-26, CIRANO.

    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.
    2. Danielsson, Jon, 1998. "Multivariate stochastic volatility models: Estimation and a comparison with VGARCH models," Journal of Empirical Finance, Elsevier, vol. 5(2), pages 155-173, June.
    3. Liesenfeld, Roman & Richard, Jean-François, 2004. "Classical and Bayesian Analysis of Univariate and Multivariate Stochastic Volatility Models," Economics Working Papers 2004-12, Christian-Albrechts-University of Kiel, Department of Economics.
    4. Sassan Alizadeh & Michael W. Brandt & Francis X. Diebold, 2002. "Range‐Based Estimation of Stochastic Volatility Models," Journal of Finance, American Finance Association, vol. 57(3), pages 1047-1091, June.
    5. Bastian Gribisch, 2016. "Multivariate Wishart stochastic volatility and changes in regime," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 100(4), pages 443-473, October.
    6. Tsunehiro Ishihara & Yasuhiro Omori, 2009. "Efficient Bayesian estimation of a multivariate stochastic volatility model with cross leverage and heavy-tailed errors," CARF F-Series CARF-F-198, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    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.
    8. Liesenfeld, Roman & Richard, Jean-Francois, 2003. "Univariate and multivariate stochastic volatility models: estimation and diagnostics," Journal of Empirical Finance, Elsevier, vol. 10(4), pages 505-531, September.
    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).
    16. Jun Yu & Renate Meyer, 2006. "Multivariate Stochastic Volatility Models: Bayesian Estimation and Model Comparison," Econometric Reviews, Taylor & Francis Journals, vol. 25(2-3), pages 361-384.
    17. Carmen Fernandez & Mark F J Steel, 1998. "On the dangers of modelling through continuous distributions: A Bayesian perspective," Edinburgh School of Economics Discussion Paper Series 22, Edinburgh School of Economics, University of Edinburgh.
    18. Timothy Cogley, 2005. "Changing Beliefs and the Term Structure of Interest Rates: Cross-Equation Restrictions with Drifting Parameters," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 8(2), pages 420-451, April.
    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.
    23. Timothy Cogley & Thomas Sargent, "undated". "Drifts and Volatilities: Monetary Policies and Outcomes in the Post WWII US," Working Papers 2133503, Department of Economics, W. P. Carey School of Business, Arizona State University.
    24. Mikhail Chernov & Eric Ghysels, 1998. "What Data Should Be Used to Price Options?," CIRANO Working Papers 98s-22, CIRANO.
    25. Sassan Alizadeh & Michael W. Brandt & Francis X. Diebold, 2001. "High- and Low-Frequency Exchange Rate Volatility Dynamics: Range-Based Estimation of Stochastic Volatility Models," NBER Working Papers 8162, National Bureau of Economic Research, Inc.
    26. Avouyi-Dovi, S. & Horny, G. & Sevestre, P., 2013. "The dynamics of bank loans short-term interest rates in the Euro area: what lessons can we draw from the current crisis?," Working papers 462, Banque de France.
    27. Siddhartha Chib & Yasuhiro Omori & Manabu Asai, 2007. "Multivariate stochastic volatility," CIRJE F-Series CIRJE-F-488, CIRJE, Faculty of Economics, University of Tokyo.
    28. Chernov, Mikhail & Ghysels, Eric, 2000. "A study towards a unified approach to the joint estimation of objective and risk neutral measures for the purpose of options valuation," Journal of Financial Economics, Elsevier, vol. 56(3), pages 407-458, June.
    29. Carmen Fernandez & Mark F J Steel, 1999. "Bayesian Regression Analysis with scale mixtures of normals," Edinburgh School of Economics Discussion Paper Series 27, Edinburgh School of Economics, University of Edinburgh.

  8. Eric Jacquier & Nicholas G. Polson & Peter E. Rossi, 1995. "Models and Priors for Multivariate Stochastic Volatility," CIRANO Working Papers 95s-18, CIRANO.

    Cited by:

    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.

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    163. Orhan Erem Atesagaoglu & Hakki Yazici, 2021. "Optimal Taxation of Capital in the Presence of Declining Labor Share," Bristol Economics Discussion Papers 21/739, School of Economics, University of Bristol, UK.
    164. Óscar Afonso & Ana Maria Bandeira & Manuela Magalhães, 2017. "Effect of the Tax System ON R&D Intensity, Growth, Wages and Consumption Share," Australian Economic Papers, Wiley Blackwell, vol. 56(4), pages 271-291, December.
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  11. Allenby, G.M. & Rossi, P.E., 1988. "There Is No Aggregation Bias: Why Macro Logit Models Work," Papers 88-62, Chicago - Graduate School of Business.

    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. 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. Martínez Granado, María Teresa & Siotis, Georges, 2006. "Computing abuse related damages in the case of new entry: An illustration for the Directory Enquiry Services market," DFAEII Working Papers 1988-088X, University of the Basque Country - Department of Foundations of Economic Analysis II.
    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.

    Cited by:

    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. 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.
    8. Ryu, Hang Keun, 2011. "Subjective model selection rules versus passive model selection rules," Economic Modelling, Elsevier, vol. 28(1), pages 459-472.
    9. Ryu, Hang Keun, 2011. "Subjective model selection rules versus passive model selection rules," Economic Modelling, Elsevier, vol. 28(1-2), pages 459-472, January.
    10. Thompson, Gary D., 1988. "Choice Of Flexible Functional Forms: Review And Appraisal," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 13(2), pages 1-15, December.
    11. 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.
    12. Aradhyula, Satheesh Venkata, 1989. "Policy structure, output supply and input demand for US crops," ISU General Staff Papers 198901010800009909, Iowa State University, Department of Economics.

  13. 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.

    Cited by:

    1. Poirier, Dale J., 1996. "A Bayesian analysis of nested logit models," Journal of Econometrics, Elsevier, vol. 75(1), pages 163-181, November.

Articles

  1. 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.

    Cited by:

    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. 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.
    18. Denis Sauré & Juan Pablo Vielma, 2019. "Ellipsoidal Methods for Adaptive Choice-Based Conjoint Analysis," Operations Research, INFORMS, vol. 67(2), pages 315-338, March.
    19. 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.

    Cited by:

    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.

    Cited by:

    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. Jan F. Kiviet, 2016. "Testing the impossible: identifying exclusion restrictions," UvA-Econometrics Working Papers 16-03, Universiteit van Amsterdam, Dept. of Econometrics.
    4. Xiang Ao & Xuan Chen & Zhong Zhao, 2021. "Is Care by Grandparents or Parents Better for Children's Non-cognitive Skills? Evidence on Locus of Control from China," Working Papers 2021-010, Human Capital and Economic Opportunity Working Group.
    5. Celidoni, Martina & Costa-Font, Joan & Salmasi, Luca, 2022. "Too Healthy to Fall Sick? Longevity Expectations and Protective Health Behaviours during the First Wave of COVID-19," IZA Discussion Papers 15493, Institute of Labor Economics (IZA).
    6. Lu, Yifan & Yamazaki, Satoshi, 2023. "Fish to fight: Does catching more fish increase conflicts in Indonesia?," World Development, Elsevier, vol. 170(C).
    7. Marino, Francesca & Nunziata, Luca, 2022. "Radioactive decay, health and social capital: Lessons from the Chernobyl experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 198(C), pages 315-340.
    8. Sungho Park & Sachin Gupta, 2012. "Handling Endogenous Regressors by Joint Estimation Using Copulas," Marketing Science, INFORMS, vol. 31(4), pages 567-586, July.
    9. Miyamoto, Wataru & Nguyen, Thuy Lan & Sheremirov, Viacheslav, 2019. "The effects of government spending on real exchange rates: Evidence from military spending panel data," Journal of International Economics, Elsevier, vol. 116(C), pages 144-157.
    10. Jumrani, Jaya, 2023. "How responsive are nutrients in India? Some recent evidence," Food Policy, Elsevier, vol. 114(C).
    11. Martin-Shields, Charles P. & Stojetz, Wolfgang, 2019. "Food security and conflict: Empirical challenges and future opportunities for research and policy making on food security and conflict," World Development, Elsevier, vol. 119(C), pages 150-164.
    12. Ari Hyytinen & Sofia Lundberg & Otto Toivanen, 2018. "Design of public procurement auctions: Evidence from cleaning contracts," Working Papers of Department of Economics, Leuven 625202, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    13. Kalb, G. & van Ours, J.C., 2013. "Reading to Young Children : A Head-Start in Life?," Other publications TiSEM 70d95193-c085-4001-a660-8, Tilburg University, School of Economics and Management.
    14. Gianluca Orefice & Giovanni Peri, 2020. "Immigration and Worker-Firm Matching," CESifo Working Paper Series 8174, CESifo.
    15. Hoang, Dan & Kristoffersen, Ingebjørg & Li, Ian W., 2019. "All in the mind? Estimating the effect of mental health on health behaviours," Social Science & Medicine, Elsevier, vol. 225(C), pages 69-84.
    16. Mark Dincecco & Mauricio Prado, 2012. "Warfare, fiscal capacity, and performance," Journal of Economic Growth, Springer, vol. 17(3), pages 171-203, September.
    17. Guo, Shiqi, 2020. "The legacy effect of unexploded bombs on educational attainment in Laos," Journal of Development Economics, Elsevier, vol. 147(C).
    18. Jakob B. Madsen & Fabrice Murtin, 2017. "British economic growth since 1270: the role of education," Journal of Economic Growth, Springer, vol. 22(3), pages 229-272, September.
    19. Miao Chi, 2017. "Improved legal status as the major source of earnings premiums associated with intermarriage: evidence from the 1986 IRCA amnesty," Review of Economics of the Household, Springer, vol. 15(2), pages 691-706, June.
    20. Wei, Lan & Feeny, David, 2019. "The dynamics of the gradient between child's health and family income: Evidence from Canada," Social Science & Medicine, Elsevier, vol. 226(C), pages 182-189.
    21. Cheng, Xu & Liao, Zhipeng, 2015. "Select the valid and relevant moments: An information-based LASSO for GMM with many moments," Journal of Econometrics, Elsevier, vol. 186(2), pages 443-464.
    22. Monscheuer, Ole, 2023. "National identity and the integration of second-generation immigrants," Labour Economics, Elsevier, vol. 82(C).
    23. Russo, Antonio & Adler, Martin W. & Liberini, Federica & van Ommeren, Jos N., 2021. "Welfare losses of road congestion: Evidence from Rome," Regional Science and Urban Economics, Elsevier, vol. 89(C).
    24. Lionel Ragot & Michel Beine & Marco Delogu, 2017. "The Role of Fees in Foreign Education: Evidence From Italy," EconomiX Working Papers 2017-44, University of Paris Nanterre, EconomiX.
    25. Junxue Jia & Yongzheng Liu & Jorge Martinez-Vazquez & Kewei Zhang, 2020. "Vertical Fiscal Imbalance and Local Fiscal Indiscipline: Empirical Evidence from China," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper2006, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
    26. Boerner, Lars & Rubin, Jared & Severgnini, Battista, 2021. "A time to print, a time to reform," European Economic Review, Elsevier, vol. 138(C).
    27. Dang, Duc Anh, 2013. "How foreign direct investment promote institutional quality: Evidence from Vietnam," Journal of Comparative Economics, Elsevier, vol. 41(4), pages 1054-1072.
    28. Rainer Franz Kotschy, 2021. "Health Improvements Impact Income Inequality," CESifo Working Paper Series 9429, CESifo.
    29. Ramana Nanda & Sampsa Samila & Olav Sorenson, 2018. "The Persistent Effect of Initial Success: Evidence from Venture Capital," NBER Working Papers 24887, National Bureau of Economic Research, Inc.
    30. Shoji, Masahiro & Tsubota, Kenmei, 2022. "Sexual exploitation of trafficked children: Survey evidence from child sex workers in Bangladesh," Journal of Comparative Economics, Elsevier, vol. 50(1), pages 101-117.
    31. Cory Koedel & Mark Ehlert & Eric Parsons & Michael Podgursky, 2012. "Selecting Growth Measures for School and Teacher Evaluations," Working Papers 1210, Department of Economics, University of Missouri.
    32. Yu, Zhuangxiong & Cheng, Jiajia & Mukhopadhaya, Pundarik & Dong, Jiemiao, 2023. "Do information spillovers across products aggravate product market monopoly? An examination with Chinese data," Economic Modelling, Elsevier, vol. 125(C).
    33. Liu, Qing & Lu, Yi, 2015. "Firm investment and exporting: Evidence from China's value-added tax reform," Journal of International Economics, Elsevier, vol. 97(2), pages 392-403.
    34. Bhalotra, Sonia & Clarke, Damian, 2016. "The twin instrument," ISER Working Paper Series 2016-17, Institute for Social and Economic Research.
    35. Goerke, Laszlo & Huang, Yue, 2022. "Job satisfaction and trade union membership in Germany," Labour Economics, Elsevier, vol. 78(C).
    36. Gruendler, Klaus & Koellner, Sebastian, 2020. "Culture, diversity, and the welfare state," Munich Reprints in Economics 84739, University of Munich, Department of Economics.
    37. Bertille Antoine & Prosper Dovonon, 2020. "Robust Estimation with Exponentially Tilted Hellinger Distance," Discussion Papers dp20-02, Department of Economics, Simon Fraser University.
    38. Lepinteur, Anthony & Menta, Giorgia, 2020. "Boys don't cry (or do the dishes): family size and the housework gender gap," CEPREMAP Working Papers (Docweb) 2001, CEPREMAP.
    39. Raphael A. Auer, 2013. "Geography, institutions, and the making of comparative development," Journal of Economic Growth, Springer, vol. 18(2), pages 179-215, June.
    40. Jakob Brochner Madsen & MD. Rabiul Islam & Hristos Doucouliagos, 2016. "Inequality, Financial Development and Economic Growth in the OECD, 1870-2011," Monash Economics Working Papers 18-16, Monash University, Department of Economics.
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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.

    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. 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.

  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.

    Cited by:

    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. 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.
    12. 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.
    13. 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.
    14. Klomp, Jeroen, 2010. "Causes of banking crises revisited," The North American Journal of Economics and Finance, Elsevier, vol. 21(1), pages 72-87, March.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. 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.
    29. 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.

    Cited by:

    1. Nino Hardt & Alex Varbanov & Greg M. Allenby, 2016. "Monetizing Ratings Data for Product Research," Marketing Science, INFORMS, vol. 35(5), pages 713-726, September.
    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. Kabbashi M. Suliman, 2013. "Factors Affecting the Choice of Households’ Primary Cooking Fuel in Sudan," Working Papers 760, Economic Research Forum, revised Jun 2013.
    12. Allenby, Greg M., 2017. "Structural forecasts for marketing data," International Journal of Forecasting, Elsevier, vol. 33(2), pages 433-441.
    13. Anocha Aribarg & Thomas Otter & Daniel Zantedeschi & Greg M. Allenby & Taylor Bentley & David J. Curry & Marc Dotson & Ty Henderson & Elisabeth Honka & Rajeev Kohli & Kamel Jedidi & Stephan Seiler & X, 2018. "Advancing Non-compensatory Choice Models in Marketing," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 5(1), pages 82-92, March.
    14. 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.
    15. Fasih Ahmed & Muhammad Nawaz & Aisha Jadoon, 2022. "Topic Modeling of the Pakistani Economy in English Newspapers via Latent Dirichlet Allocation (LDA)," SAGE Open, , vol. 12(1), pages 21582440221, March.
    16. 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.
    17. Sanghak Lee & Greg M. Allenby, 2014. "Modeling Indivisible Demand," Marketing Science, INFORMS, vol. 33(3), pages 364-381, May.

  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. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. Pelenis, Justinas, 2014. "Bayesian regression with heteroscedastic error density and parametric mean function," Journal of Econometrics, Elsevier, vol. 178(P3), pages 624-638.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. van Hasselt, Martijn, 2011. "Bayesian inference in a sample selection model," Journal of Econometrics, Elsevier, vol. 165(2), pages 221-232.
    28. 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.
    29. 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.
    30. Jean-Pierre H. Dubé, 2018. "Microeconometric Models of Consumer Demand," NBER Working Papers 25215, National Bureau of Economic Research, Inc.
    31. 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.
    32. Pelenis, Justinas, 2012. "Bayesian Semiparametric Regression," Economics Series 285, Institute for Advanced Studies.
    33. Ruochen Wu & Melvyn Weeks, 2020. "A Semi-Parametric Bayesian Generalized Least Squares Estimator," Papers 2011.10252, arXiv.org, revised Jan 2023.
    34. 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.
    35. 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.
    36. Ben Deaner, 2019. "Nonparametric Instrumental Variables Estimation Under Misspecification," Papers 1901.01241, arXiv.org, revised Dec 2022.
    37. 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).
    38. Nomen Nescio, 2013. "Nomen Nescio," Tinbergen Institute Discussion Papers 12-095 not issued, Tinbergen Institute.
    39. Martin Burda & Artem Prokhorov, 2012. "Copula Based Factorization in Bayesian Multivariate Infinite Mixture Models," Working Papers 12012, Concordia University, Department of Economics.
    40. 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.
    41. Eoghan O'Neill, 2022. "Type I Tobit Bayesian Additive Regression Trees for Censored Outcome Regression," Papers 2211.07506, arXiv.org, revised Feb 2024.
    42. 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.
    43. 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.
    44. Cem Çakmakli, 2012. "Bayesian Semiparametric Dynamic Nelson-Siegel Model," Working Paper series 59_12, Rimini Centre for Economic Analysis, revised Sep 2012.
    45. 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.

  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. 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.
    10. 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.
    11. 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.

  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.

    Cited by:

    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.

    Cited by:

    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.
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    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.
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    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.

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    Cited by:

    1. 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.
    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.

    Cited by:

    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. 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.
    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.
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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.
    19. Anastasios Panagiotelis & Michael S. Smith & Peter J Danaher, 2013. "From Amazon to Apple: Modeling Online Retail Sales, Purchase Incidence and Visit Behavior," Monash Econometrics and Business Statistics Working Papers 5/13, Monash University, Department of Econometrics and Business Statistics.
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    41. Holloway, Garth J. & Barrett, Christopher B. & Ehui, Simeon K., 2002. "Bayes' Estimates Of The Double Hurdle Model In The Presence Of Fixed Costs," Working Papers 14741, Cornell University, Department of Applied Economics and Management.
    42. Ruben Loaiza-Maya & Didier Nibbering, 2020. "Scalable Bayesian estimation in the multinomial probit model," Papers 2007.13247, arXiv.org, revised Mar 2021.
    43. Paap, R. & van Nierop, J.E.M. & van Heerde, H.J. & Wedel, M. & Franses, Ph.H.B.F. & Alsem, K.J., 2000. "Consideration sets, intentions and the inclusion of "Don't know" in a two-stage model for voter choice," Econometric Institute Research Papers EI 2000-33/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    44. Murat K. Munkin & Partha Deb & Pravin K. Trivedi, 2006. "Bayesian analysis of the two-part model with endogeneity: application to health care expenditure," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(7), pages 1081-1099.
    45. Bermúdez, Ll. & Pérez, J.M. & Ayuso, M. & Gómez, E. & Vázquez, F.J., 2008. "A Bayesian dichotomous model with asymmetric link for fraud in insurance," Insurance: Mathematics and Economics, Elsevier, vol. 42(2), pages 779-786, April.
    46. 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.
    47. 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.
    48. Wang, Xiaokun (Cara) & Kockelman, Kara M. & Lemp, Jason D., 2012. "The dynamic spatial multinomial probit model: analysis of land use change using parcel-level data," Journal of Transport Geography, Elsevier, vol. 24(C), pages 77-88.
    49. Zhang, Rong & Inder, Brett A. & Zhang, Xibin, 2015. "Bayesian estimation of a discrete response model with double rules of sample selection," Computational Statistics & Data Analysis, Elsevier, vol. 86(C), pages 81-96.
    50. Fontana, Magda & Iori, Martina & Nava, Consuelo Rubina, 2019. "Switching behavior in the Italian electricity retail market: Logistic and mixed effect Bayesian estimations of consumer choice," Energy Policy, Elsevier, vol. 129(C), pages 339-351.
    51. Aßmann, Christian, 2007. "Determinants and Costs of Current Account Reversals under Heterogeneity and Serial Correlation," Economics Working Papers 2007-17, Christian-Albrechts-University of Kiel, Department of Economics.
    52. van Hasselt, Martijn, 2011. "Bayesian inference in a sample selection model," Journal of Econometrics, Elsevier, vol. 165(2), pages 221-232.
    53. Li, Mingliang & Mumford, Kevin J. & Tobias, Justin L., 2012. "A Bayesian analysis of payday loans and their regulation," Journal of Econometrics, Elsevier, vol. 171(2), pages 205-216.
    54. Yiyi Wang & Kara Kockelman & Paul Damien, 2014. "A spatial autoregressive multinomial probit model for anticipating land-use change in Austin, Texas," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 52(1), pages 251-278, January.
    55. Ricardo A. Daziano & Luis Miranda-Moreno & Shahram Heydari, 2013. "Computational Bayesian Statistics in Transportation Modeling: From Road Safety Analysis to Discrete Choice," Transport Reviews, Taylor & Francis Journals, vol. 33(5), pages 570-592, September.
    56. Alan L. Montgomery & Shibo Li & Kannan Srinivasan & John C. Liechty, 2004. "Modeling Online Browsing and Path Analysis Using Clickstream Data," Marketing Science, INFORMS, vol. 23(4), pages 579-595, November.
    57. Roberto Leon-Gonzalez, "undated". "Data Augmentation in Limited-Dependent Variable Models," Discussion Papers 02/09, Department of Economics, University of York.
    58. Jin Gyo Kim & Ulrich Menzefricke & Fred M. Feinberg, 2007. "Capturing Flexible Heterogeneous Utility Curves: A Bayesian Spline Approach," Management Science, INFORMS, vol. 53(2), pages 340-354, February.
    59. Peter E. Rossi & Greg M. Allenby, 2003. "Bayesian Statistics and Marketing," Marketing Science, INFORMS, vol. 22(3), pages 304-328, July.
    60. R. Klein Entink & J.-P. Fox & W. Linden, 2009. "A Multivariate Multilevel Approach to the Modeling of Accuracy and Speed of Test Takers," Psychometrika, Springer;The Psychometric Society, vol. 74(1), pages 21-48, March.
    61. Fox, Jean-Paul & Entink, Rinke Klein & van der Linden, Wilm, 2007. "Modeling of Responses and Response Times with the Package cirt," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 20(i07).
    62. Gael M. Martin & David T. Frazier & Worapree Maneesoonthorn & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2022. "Bayesian Forecasting in Economics and Finance: A Modern Review," Papers 2212.03471, arXiv.org, revised Jul 2023.
    63. Gael M. Martin & David T. Frazier & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2023. "Bayesian Forecasting in the 21st Century: A Modern Review," Monash Econometrics and Business Statistics Working Papers 1/23, Monash University, Department of Econometrics and Business Statistics.
    64. Yeonbae Kim, 2002. "Estimation of discrete/continuous choice model: application of Bayesian approach using Gibbs sampling," Applied Economics Letters, Taylor & Francis Journals, vol. 9(5), pages 305-309.
    65. Maksym, Obrizan, 2010. "A Bayesian Model of Sample Selection with a Discrete Outcome Variable," MPRA Paper 28577, University Library of Munich, Germany.
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    68. Jin, Ying & Su, Meng, 2009. "Recommendation and repurchase intention thresholds: A joint heterogeneity response estimation," International Journal of Research in Marketing, Elsevier, vol. 26(3), pages 245-255.
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    Cited by:

    1. Vij, Akshay & Krueger, Rico, 2017. "Random taste heterogeneity in discrete choice models: Flexible nonparametric finite mixture distributions," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 76-101.
    2. Sha Yang & Vishal Narayan & Henry Assael, 2006. "Estimating the Interdependence of Television Program Viewership Between Spouses: A Bayesian Simultaneous Equation Model," Marketing Science, INFORMS, vol. 25(4), pages 336-349, July.
    3. M. Alex Syaekhoni & Ganjar Alfian & Young S. Kwon, 2017. "Customer Purchasing Behavior Analysis as Alternatives for Supporting In-Store Green Marketing Decision-Making," Sustainability, MDPI, vol. 9(11), pages 1-22, November.
    4. Laura Grigolon, 2017. "Blurred boundaries: a flexible approach for segmentation applied to the car market," Department of Economics Working Papers 2017-17, McMaster University.
    5. Mueller, Milton L. & Park, Yuri & Lee, Jongsu & Kim, Tai-Yoo, 2006. "Digital identity: How users value the attributes of online identifiers," Information Economics and Policy, Elsevier, vol. 18(4), pages 405-422, November.
    6. Yoo, James & Ready, Richard C., 2014. "Preference heterogeneity for renewable energy technology," Energy Economics, Elsevier, vol. 42(C), pages 101-114.
    7. Patrick Bajari & Jeremy T. Fox & Stephen Ryan, 2006. "Evaluating Wireless Carrier Consolidation Using Semiparametric Demand Estimation," NBER Working Papers 12425, National Bureau of Economic Research, Inc.
    8. Francisco Javier Amador & Rosa Marina González & Juan de Dios Ortúzar, 2004. "Preference heterogeneity and willingness to pay for travel time," Documentos de trabajo conjunto ULL-ULPGC 2004-12, Facultad de Ciencias Económicas de la ULPGC.
    9. 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.
    10. Bond, Craig A. & Thilmany, Dawn D. & Bond, Jennifer Keeling, 2008. "What to Choose? The Value of Label Claims to Fresh Produce Consumers," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 33(3), pages 1-26.
    11. Yan Lin & Wai Fong Boh, 2020. "How different Are crowdfunders? Examining archetypes of crowdfunders," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(11), pages 1357-1370, November.
    12. Choi, Siwon & Kwak, Kyuil & Yang, Soyoung & Lim, Sesil & Woo, JongRoul, 2022. "Effects of policy instruments on electric scooter adoption in Jakarta, Indonesia: A discrete choice experiment approach," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 373-384.
    13. Nicholas Economides & Przemyslaw Jeziorski, 2015. "Mobile Money in Tanzania," Working Papers 15-03, New York University, Leonard N. Stern School of Business, Department of Economics.
    14. 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.
    15. Alessandro Acquisti, 2014. "Inducing Customers to Try New Goods," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 44(2), pages 131-146, March.
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    1. Rakesh Niraj & V. Padmanabhan & P. B. Seetharaman, 2008. "Research Note—A Cross-Category Model of Households' Incidence and Quantity Decisions," Marketing Science, INFORMS, vol. 27(2), pages 225-235, 03-04.
    2. Adam N. Smith & Stephan Seiler & Ishant Aggarwal, 2023. "Optimal Price Targeting," Marketing Science, INFORMS, vol. 42(3), pages 476-499, May.
    3. 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.
    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. Harald Hruschka, 2017. "Analyzing the dependences of multi-category purchases on interactions of marketing variables," Journal of Business Economics, Springer, vol. 87(3), pages 295-313, April.
    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.
    8. Jaehwan Kim & Greg M. Allenby & Peter E. Rossi, 2002. "Modeling Consumer Demand for Variety," Marketing Science, INFORMS, vol. 21(3), pages 229-250, December.
    9. Raluca M. Ursu & Daria Dzyabura, 2020. "Retailers’ product location problem with consumer search," Quantitative Marketing and Economics (QME), Springer, vol. 18(2), pages 125-154, June.
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    42. Greg M. Allenby & Thomas S. Shively & Sha Yang & Mark J. Garratt, 2004. "A Choice Model for Packaged Goods: Dealing with Discrete Quantities and Quantity Discounts," Marketing Science, INFORMS, vol. 23(1), pages 95-108, June.
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    44. Cebollada, Javier & Chu, Yanlai & Jiang, Zhiying, 2019. "Online Category Pricing at a Multichannel Grocery Retailer," Journal of Interactive Marketing, Elsevier, vol. 46(C), pages 52-69.
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    46. Yasemin Boztug & Thomas Reutterer, 2006. "A Combined Approach for Segment-Specific Analysis of Market Basket Data," SFB 649 Discussion Papers SFB649DP2006-006, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    47. Karsten Hansen & Vishal Singh, 2008. "Research Note--Are Store-Brand Buyers Store Loyal? An Empirical Investigation," Management Science, INFORMS, vol. 54(10), pages 1828-1834, October.
    48. Kim, Chul & Jun, Duk Bin & Park, Sungho, 2018. "Capturing flexible correlations in multiple-discrete choice outcomes using copulas," International Journal of Research in Marketing, Elsevier, vol. 35(1), pages 34-59.
    49. Karthik Sridhar & Ram Bezawada & Minakshi Trivedi, 2012. "Investigating the Drivers of Consumer Cross-Category Learning for New Products Using Multiple Data Sets," Marketing Science, INFORMS, vol. 31(4), pages 668-688, July.
    50. Leeflang, Peter S.H. & Parreño Selva, Josefa & Van Dijk, Albert & Wittink, Dick R., 2008. "Decomposing the sales promotion bump accounting for cross-category effects," International Journal of Research in Marketing, Elsevier, vol. 25(3), pages 201-214.
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    1. P Ma & J Crook & J Ansell, 2010. "Modelling take-up and profitability," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(3), pages 430-442, March.
    2. Ajay Kalra & Shibo Li & Wei Zhang, 2011. "Understanding Responses to Contradictory Information About Products," Marketing Science, INFORMS, vol. 30(6), pages 1098-1114, November.
    3. Andrew Bryant & Ronald Paul Hill, 2019. "Poverty, consumption, and counterintuitive behavior," Marketing Letters, Springer, vol. 30(3), pages 233-243, December.
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    5. Colombo, Stefano, 2015. "Should a firm engage in behaviour-based price discrimination when facing a price discriminating rival? A game-theory analysis," Information Economics and Policy, Elsevier, vol. 30(C), pages 6-18.
    6. David R. Bell & Jeongwen Chiang & V. Padmanabhan, 1999. "The Decomposition of Promotional Response: An Empirical Generalization," Marketing Science, INFORMS, vol. 18(4), pages 504-526.
    7. Adam N. Smith & Stephan Seiler & Ishant Aggarwal, 2023. "Optimal Price Targeting," Marketing Science, INFORMS, vol. 42(3), pages 476-499, May.
    8. 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.
    9. Bond, Craig A. & Thilmany, Dawn D. & Bond, Jennifer Keeling, 2008. "What to Choose? The Value of Label Claims to Fresh Produce Consumers," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 33(3), pages 1-26.
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    13. Leenheer, J. & Bijmolt, T.H.A. & van Heerde, H.J. & Smidts, A., 2002. "Do Loyalty Programs Enhance Behavioral Loyalty : An Empirical Analysis Accounting for Program Design and Competitive Effects," Discussion Paper 2002-65, Tilburg University, Center for Economic Research.
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    17. Balcombe, Kelvin & Chalak, Ali & Fraser, Iain, 2009. "Model selection for the mixed logit with Bayesian estimation," Journal of Environmental Economics and Management, Elsevier, vol. 57(2), pages 226-237, March.
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    35. Tat Chan & Naser Hamdi & Xiang Hui & Zhenling Jiang, 2022. "The Value of Verified Employment Data for Consumer Lending: Evidence from Equifax," Marketing Science, INFORMS, vol. 41(4), pages 795-814, July.
    36. Mariia I. Okuneva & Dmitriy B. Potapov, 2015. "The Effectiveness of Individual Targeting Through Smartphone Application in Retail: Evidence from Field Experiment," HSE Working papers WP BRP 47/MAN/2015, National Research University Higher School of Economics.
    37. Duncan Fong & Sunghoon Kim & Zhe Chen & Wayne DeSarbo, 2016. "A Bayesian Multinomial Probit MODEL FOR THE ANALYSIS OF PANEL CHOICE DATA," Psychometrika, Springer;The Psychometric Society, vol. 81(1), pages 161-183, March.
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    39. Harikesh S. Nair & Sanjog Misra & William J. Hornbuckle IV & Ranjan Mishra & Anand Acharya, 2017. "Big Data and Marketing Analytics in Gaming: Combining Empirical Models and Field Experimentation," Marketing Science, INFORMS, vol. 36(5), pages 699-725, September.
    40. Xiaojing Dong & Ramkumar Janakiraman & Ying Xie, 2014. "The Effect of Survey Participation on Consumer Behavior: The Moderating Role of Marketing Communication," Marketing Science, INFORMS, vol. 33(4), pages 567-585, July.
    41. 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.
    42. Steven M. Shugan, 2002. "In Search of Data: An Editorial," Marketing Science, INFORMS, vol. 21(4), pages 369-377.
    43. Brett Gordon & Mitchell Lovett & Ron Shachar & Kevin Arceneaux & Sridhar Moorthy & Michael Peress & Akshay Rao & Subrata Sen & David Soberman & Oleg Urminsky, 2012. "Marketing and politics: Models, behavior, and policy implications," Marketing Letters, Springer, vol. 23(2), pages 391-403, June.
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    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.
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    10. Esteban-Bravo, Mercedes & 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..
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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.
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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.
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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.
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    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, November.
    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.
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    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.

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    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.

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    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.
    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. Posch Peter N. & Loeffler Gunter & Schoene Christiane, 2005. "Bayesian Methods for Improving Credit Scoring Models," Finance 0505024, University Library of Munich, Germany.
    23. Poirier, Dale J., 2012. "Perfect classifiers in partial observability bivariate probit," Economics Letters, Elsevier, vol. 116(3), pages 361-362.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. 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.
    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. 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. 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.
    7. 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.
    8. 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.
    9. 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).
    10. 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).
    11. 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.
    12. 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.
    13. Burghardt, Elliot & Sewell, Daniel & Cavanaugh, Joseph, 2022. "Agglomerative and divisive hierarchical Bayesian clustering," Computational Statistics & Data Analysis, Elsevier, vol. 176(C).
    14. 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].
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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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