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Thomas Steenburgh

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.

Working papers

  1. Thomas Steenburgh & Andrew Ainslie, 2010. "Substitution Patterns of the Random Coefficients Logit," Harvard Business School Working Papers 10-053, Harvard Business School.

    Cited by:

    1. Stefano Mainardi, 2021. "Preference heterogeneity, neighbourhood effects and basic services: logit kernel models for farmers’ climate adaptation in Ethiopia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(5), pages 6869-6912, May.

  2. Thomas J. Steenburgh & Andrew Ainslie, 2008. "Taste Heterogeneity, IIA, and the Similarity Critique," Harvard Business School Working Papers 09-049, Harvard Business School.

    Cited by:

    1. Marije Schaafsma & Roy Brouwer, 2020. "Substitution Effects in Spatial Discrete Choice Experiments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(2), pages 323-349, February.

  3. Craig J. Chapman & Thomas J. Steenburgh, 2008. "An Investigation of Earnings Management Through Marketing Actions," Harvard Business School Working Papers 08-073, Harvard Business School, revised Feb 2009.

    Cited by:

    1. Blau, Benjamin M. & DeLisle, Jared R. & Price, S. McKay, 2015. "Do sophisticated investors interpret earnings conference call tone differently than investors at large? Evidence from short sales," Journal of Corporate Finance, Elsevier, vol. 31(C), pages 203-219.
    2. Sundar Bharadwaj, 2015. "Developing new marketing strategy theory: addressing the limitations of a singular focus on firm financial performance," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 5(3), pages 98-102, December.
    3. Karan Gandhi, 2020. "Real earnings management practices for meeting earnings benchmarks: Indian evidence," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 47(3), pages 265-291, September.
    4. Aytekin Ertan, 2022. "Real earnings management through syndicated lending," Review of Accounting Studies, Springer, vol. 27(4), pages 1157-1198, December.
    5. Lyu, Changjiang & Wang, Kemin & Zhang, Frank & Zhang, Xin, 2018. "GDP management to meet or beat growth targets," Journal of Accounting and Economics, Elsevier, vol. 66(1), pages 318-338.
    6. James Jianxin Gong & S. Mark Young & Aner Zhou, 2023. "Real earnings management and the strategic release of new products: evidence from the motion picture industry," Review of Accounting Studies, Springer, vol. 28(3), pages 1209-1249, September.
    7. Shirley J. Ho & Hao-Chang Sung, 2012. "The Informational and Strategic Impacts of Real Earnings Management," Annals of Economics and Finance, Society for AEF, vol. 13(2), pages 355-380, November.
    8. Li, Lingxiang, 2016. "New findings on repurchase anomaly — The first-month effect," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 331-349.
    9. Anindita Chakravarty, 2023. "Review of Marketing Relevant Real Activity Manipulation," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 10(1), pages 1-16, December.
    10. Qi Wu & Guoming Lai, 2022. "The Effects of Stock-Based Incentives on Inventory Management," Management Science, INFORMS, vol. 68(7), pages 5068-5086, July.
    11. Alok R. Saboo & Anindita Chakravarty & Rajdeep Grewal, 2016. "Organizational Debut on the Public Stage: Marketing Myopia and Initial Public Offerings," Marketing Science, INFORMS, vol. 35(4), pages 656-675, July.
    12. Gaganis, Chrysovalantis & Hasan, Iftekhar & Pasiouras, Fotios, 2015. "Regulations, institutions and income smoothing by managing technical reserves: international evidence from the insurance industry," Bank of Finland Research Discussion Papers 15/2015, Bank of Finland.
    13. Alexandre Garel & Jose Martin-Flores & Arthur Petit-Romec & Ayesha Scott, 2021. "Institutional investor distraction and earnings management," Post-Print hal-03096196, HAL.
    14. Yu Zhang & Javier Gimeno, 2016. "Earnings Pressure and Long-Term Corporate Governance: Can Long-Term-Oriented Investors and Managers Reduce the Quarterly Earnings Obsession?," Organization Science, INFORMS, vol. 27(2), pages 354-372, April.
    15. Sundar Bharadwaj, 2015. "Developing new marketing strategy theory: addressing the limitations of a singular focus on firm financial performance," AMS Review, Springer;Academy of Marketing Science, vol. 5(3), pages 98-102, December.
    16. Markovitch, Dmitri G. & Huang, Dongling & Ye, Pengfei, 2020. "Marketing intensity and firm performance: Contrasting the insights based on actual marketing expenditure and its SG&A proxy," Journal of Business Research, Elsevier, vol. 118(C), pages 223-239.
    17. Ahsan Habib & Dinithi Ranasinghe & Julia Yonghua Wu & Pallab Kumar Biswas & Fawad Ahmad, 2022. "Real earnings management: A review of the international literature," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(4), pages 4279-4344, December.
    18. Chung, Tuck Siong & Low, Angie, 2017. "The impact of investor impatience and environmental turbulence on myopic marketing management and stock performance," International Journal of Research in Marketing, Elsevier, vol. 34(3), pages 660-677.
    19. Garel, Alexandre & Martin-Flores, Jose M. & Petit-Romec, Arthur & Scott, Ayesha, 2021. "Institutional investor distraction and earnings management," Journal of Corporate Finance, Elsevier, vol. 66(C).
    20. Imran S. Currim & Jooseop Lim & Yu Zhang, 2018. "Effect of analysts’ earnings pressure on marketing spending and stock market performance," Journal of the Academy of Marketing Science, Springer, vol. 46(3), pages 431-452, May.
    21. Casenave, Eric & Klarmann, Martin, 2020. "The accountability paradox: How holding marketers accountable hinders alignment with short-term marketing goals," Journal of Business Research, Elsevier, vol. 112(C), pages 95-108.
    22. Anindita Chakravarty & Rajdeep Grewal, 2011. "The Stock Market in the Driver's Seat! Implications for R&D and Marketing," Management Science, INFORMS, vol. 57(9), pages 1594-1609, March.
    23. Kedia, Simi & Rajgopal, Shivaram & Zhou, Xing, 2014. "Did going public impair Moody׳s credit ratings?," Journal of Financial Economics, Elsevier, vol. 114(2), pages 293-315.

  4. Jill Avery & Thomas J. Steenburgh, & John A. Deighton & Mary Caravella, 2007. "Adding Bricks to Clicks: The Contingencies Driving Cannibalization and Complementarity in Multichannel Retailing," Harvard Business School Working Papers 07-043, Harvard Business School, revised Feb 2009.

    Cited by:

    1. Zhang, Jie & Farris, Paul W. & Irvin, John W. & Kushwaha, Tarun & Steenburgh, Thomas J. & Weitz, Barton A., 2010. "Crafting Integrated Multichannel Retailing Strategies," Journal of Interactive Marketing, Elsevier, vol. 24(2), pages 168-180.
    2. Gregory T. Gundlach & Kenneth C. Manning & Joseph P. Cannon, 2011. "Resale price maintenance and free riding: insights from multi-channel research," AMS Review, Springer;Academy of Marketing Science, vol. 1(1), pages 18-31, March.

Articles

  1. Clarence Lee & Elie Ofek & Thomas J. Steenburgh, 2018. "Personal and Social Usage: The Origins of Active Customers and Ways to Keep Them Engaged," Management Science, INFORMS, vol. 64(6), pages 2473-2495, June.

    Cited by:

    1. Lei Wang & Ram Gopal & Ramesh Shankar & Joseph Pancras, 2022. "Forecasting venue popularity on location‐based services using interpretable machine learning," Production and Operations Management, Production and Operations Management Society, vol. 31(7), pages 2773-2788, July.
    2. Yue Jin & Yong Tan & Jinghua Huang, 2022. "Managing contributor performance in knowledge‐sharing communities: A dynamic perspective," Production and Operations Management, Production and Operations Management Society, vol. 31(11), pages 3945-3962, November.

  2. Fader, Peter S. & Hardie, Bruce G.S. & Liu, Yuzhou & Davin, Joseph & Steenburgh, Thomas, 2018. "“How to Project Customer Retention” Revisited: The Role of Duration Dependence," Journal of Interactive Marketing, Elsevier, vol. 43(C), pages 1-16.

    Cited by:

    1. Christof Naumzik & Stefan Feuerriegel & Markus Weinmann, 2022. "I Will Survive: Predicting Business Failures from Customer Ratings," Marketing Science, INFORMS, vol. 41(1), pages 188-207, January.

  3. Michael J. Ahearne & Jeffrey P. Boichuk & Craig J. Chapman & Thomas J. Steenburgh, 2016. "Real Earnings Management in Sales," Journal of Accounting Research, Wiley Blackwell, vol. 54(5), pages 1233-1266, December.

    Cited by:

    1. Tuck Siong Chung & Angie Low & Roland T. Rust, 2023. "Executive confidence and myopic marketing management," Journal of the Academy of Marketing Science, Springer, vol. 51(5), pages 1118-1142, September.
    2. Aytekin Ertan, 2022. "Real earnings management through syndicated lending," Review of Accounting Studies, Springer, vol. 27(4), pages 1157-1198, December.
    3. Jui-I Chang & Chen-Ying Lee & Geng-Yu Lin, 2021. "Real earnings management and borrowing costs: The moderating effect of the directors’ and officers' liability insurance," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 11(5), pages 1-3.
    4. James Jianxin Gong & S. Mark Young & Aner Zhou, 2023. "Real earnings management and the strategic release of new products: evidence from the motion picture industry," Review of Accounting Studies, Springer, vol. 28(3), pages 1209-1249, September.
    5. Chung, Tuck Siong & Low, Angie, 2022. "CEO regulatory focus and myopic marketing management," International Journal of Research in Marketing, Elsevier, vol. 39(1), pages 247-267.
    6. Hoitash, Udi & Mkrtchyan, Anahit, 2022. "Internal governance and outside directors’ connections to non-director executives," Journal of Accounting and Economics, Elsevier, vol. 73(1).
    7. Preetinder Kaur & Sridhar N Ramaswami & Raghuram Bommaraju, 2021. "The Chief Marketing Officer: an antidote to myopic earnings management practices," Marketing Letters, Springer, vol. 32(2), pages 165-178, June.
    8. Galdi, Fernando Caio & Johnson, E. Scott, 2021. "Accounting for inventory costs and real earnings management behavior," Advances in accounting, Elsevier, vol. 53(C).
    9. Ahsan Habib & Dinithi Ranasinghe & Julia Yonghua Wu & Pallab Kumar Biswas & Fawad Ahmad, 2022. "Real earnings management: A review of the international literature," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(4), pages 4279-4344, December.
    10. Godsell, David & Huang, Kelly & Lao, Brent, 2023. "Managers’ rank & file employee coordination costs and real activities manipulation," Accounting, Organizations and Society, Elsevier, vol. 107(C).
    11. Han Li, 2019. "Conservatism, Earnings Management and R&D Capitalization," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 10(2), pages 52-60, April.

  4. Qiang Liu & Thomas J. Steenburgh & Sachin Gupta, 2015. "The Cross Attributes Flexible Substitution Logit: Uncovering Category Expansion and Share Impacts of Marketing Instruments," Marketing Science, INFORMS, vol. 34(1), pages 144-159, January.

    Cited by:

    1. Sant'Anna, Ana Claudia & Bergtold, Jason & Shanoyan, Aleksan & Caldas, Marcellus & Granco, Gabriel, 2021. "Deal or No Deal? Analysis of Bioenergy Feedstock Contract Choice with Multiple Opt-out Options and Contract Attribute Substitutability," 2021 Conference, August 17-31, 2021, Virtual 315289, International Association of Agricultural Economists.
    2. Qiang Liu & Hongju Liu & Manohar Kalwani, 2020. "“See your doctor”: the impact of direct-to-consumer advertising on patients with different affliction levels," Marketing Letters, Springer, vol. 31(1), pages 37-48, March.
    3. Qiang Liu & Sachin Gupta & Sriram Venkataraman & Hongju Liu, 2016. "An Empirical Model of Drug Detailing: Dynamic Competition and Policy Implications," Management Science, INFORMS, vol. 62(8), pages 2321-2340, August.
    4. Hongju Liu & Qiang Liu & Pradeep K. Chintagunta, 2017. "Promotion Spillovers: Drug Detailing in Combination Therapy," Marketing Science, INFORMS, vol. 36(3), pages 382-401, May.
    5. Chi, Yunjia & Qing, Ping & Jin, Yong Jimmy & Yu, Jinjun & Dong, Maggie Chuoyan & Huang, Li, 2022. "Competition or spillover? Effects of platform-owner entry on provider commitment," Journal of Business Research, Elsevier, vol. 144(C), pages 627-636.
    6. Guler, Ali Umut, 2023. "Category expansion through cross-channel demand spillovers," International Journal of Research in Marketing, Elsevier, vol. 40(3), pages 629-658.
    7. Ashish Agarwal & Kartik Hosanagar & Michael D. Smith, 2015. "Do Organic Results Help or Hurt Sponsored Search Performance?," Information Systems Research, INFORMS, vol. 26(4), pages 695-713, December.
    8. Dubois, Pierre & Griffith, Rachel & O'Connell, Martin, 2016. "The effects of banning advertising in junk food markets," TSE Working Papers 16-647, Toulouse School of Economics (TSE), revised Dec 2016.
    9. Andrew T. Ching & Hyunwoo Lim, 2020. "A Structural Model of Correlated Learning and Late-Mover Advantages: The Case of Statins," Management Science, INFORMS, vol. 66(3), pages 1095-1123, March.
    10. Zhuoxin Li & Ashish Agarwal, 2017. "Platform Integration and Demand Spillovers in Complementary Markets: Evidence from Facebook’s Integration of Instagram," Management Science, INFORMS, vol. 63(10), pages 3438-3458, October.
    11. Koichi Yonezawa & Miguel I Gómez & Timothy J Richards, 2020. "The Robinson–Patman Act and Vertical Relationships," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(1), pages 329-352, January.
    12. Andrew T. Ching & Tülin Erdem & Michael P. Keane, 2020. "How much do consumers know about the quality of products? Evidence from the diaper market," The Japanese Economic Review, Springer, vol. 71(4), pages 541-569, October.
    13. Sant’Anna, Ana Claudia & Bergtold, Jason S. & Shanoyan, Aleksan & Caldas, Marcellus M. & Granco, Gabriel, 2022. "Biofuel feedstock contract attributes, substitutability and tradeoffs in sugarcane production for ethanol in the Brazilian Cerrado: A stated choice approach," Renewable Energy, Elsevier, vol. 185(C), pages 665-679.

  5. Doug J. Chung & Thomas Steenburgh & K. Sudhir, 2014. "Do Bonuses Enhance Sales Productivity? A Dynamic Structural Analysis of Bonus-Based Compensation Plans," Marketing Science, INFORMS, vol. 33(2), pages 165-187, March.

    Cited by:

    1. Zheyin (Jane) Gu & Yunchuan Liu, 2018. "Why would a big retailer refuse to collaborate on manufacturer SPIFF programs?," Quantitative Marketing and Economics (QME), Springer, vol. 16(4), pages 441-472, December.
    2. Arun Gopalakrishnan & Raghuram Iyengar & Robert J. Meyer, 2015. "Consumer Dynamic Usage Allocation and Learning Under Multipart Tariffs," Marketing Science, INFORMS, vol. 34(1), pages 116-133, January.
    3. Février, Philippe & Wilner, Lionel, 2016. "Do consumers correctly expect price reductions? Testing dynamic behavior," International Journal of Industrial Organization, Elsevier, vol. 44(C), pages 25-40.
    4. Victor Gonzalez-Jimenez & Patricio S. Dalton & Charles N. Noussair, 2019. "The Dark Side of Monetary Bonuses: Theory and Experimental Evidence," Vienna Economics Papers vie1909, University of Vienna, Department of Economics.
    5. Minkyung Kim & K. Sudhir & Kosuke Uetake & Rodrigo Canales, 2016. "Multidimensional Sales Incentives in CRM Settings: Customer Adverse Selection and Moral Hazard," Cowles Foundation Discussion Papers 2085, Cowles Foundation for Research in Economics, Yale University.
    6. Sanjog Misra & Harikesh Nair, 2011. "A structural model of sales-force compensation dynamics: Estimation and field implementation," Quantitative Marketing and Economics (QME), Springer, vol. 9(3), pages 211-257, September.
    7. Hai Che & Tülin Erdem & T. Sabri Öncü, 2015. "Consumer learning and evolution of consumer brand preferences," Quantitative Marketing and Economics (QME), Springer, vol. 13(3), pages 173-202, September.
    8. Patrick Bajari & Chenghuan Sean Chu & Denis Nekipelov & Minjung Park, 2016. "Identification and semiparametric estimation of a finite horizon dynamic discrete choice model with a terminating action," Quantitative Marketing and Economics (QME), Springer, vol. 14(4), pages 271-323, December.
    9. Andrew T. Ching & Tülin Erdem & Michael P. Keane, 2013. "Learning Models: An Assessment of Progress, Challenges and New Developments," Economics Papers 2013-W07, Economics Group, Nuffield College, University of Oxford.
    10. Tinglong Dai & Kinshuk Jerath, 2019. "Salesforce Contracting Under Uncertain Demand and Supply: Double Moral Hazard and Optimality of Smooth Contracts," Marketing Science, INFORMS, vol. 38(5), pages 852-870, September.
    11. Jason R. Blevins & Wei Shi & Donald R. Haurin & Stephanie Moulton, 2020. "A Dynamic Discrete Choice Model Of Reverse Mortgage Borrower Behavior," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(4), pages 1437-1477, November.
    12. Yang, Xiaolin & Gou, Qinglong & Wang, Xin & Zhang, Juzhi, 2022. "Does bonus motivate streamers to perform better? An analysis of compensation mechanisms for live streaming platforms," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    13. Minkyung Kim & K. Sudhir & Kosuke Uetake, 2019. "A Structural Model of a Multitasking Salesforce: Multidimensional Incentives and Plan Design," Cowles Foundation Discussion Papers 2199, Cowles Foundation for Research in Economics, Yale University.
    14. Hanming Fang & Yang Wang, 2010. "Estimating Dynamic Discrete Choice Models with Hyperbolic Discounting, with an Application to Mammography Decisions," NBER Working Papers 16438, National Bureau of Economic Research, Inc.
    15. Xavier d'Haultfoeuille & Philippe Février, 2011. "The Provision of Wage Incentives : A Structural Estimation Using Contracts Variation," Working Papers 2011-29, Center for Research in Economics and Statistics.
    16. Jean-Pierre H. Dube & Günter J. Hitsch & Pranav Jindal, 2012. "The Joint Identification of Utility and Discount Functions From Stated Choice Data: An Application to Durable Goods Adoption," NBER Working Papers 18393, National Bureau of Economic Research, Inc.
    17. Lizhen Xu & Jason A. Duan & Yu Jeffrey Hu & Yuan Cheng & Yan Zhu, 2019. "Forward-Looking Behavior in Mobile Data Consumption and Targeted Promotion Design: A Dynamic Structural Model," Information Systems Research, INFORMS, vol. 30(2), pages 616-635, June.
    18. Natalie Chun & Soohyung Lee, 2015. "Bonus compensation and productivity: evidence from Indian manufacturing plant-level data," Journal of Productivity Analysis, Springer, vol. 43(1), pages 47-58, February.
    19. Qu, Yingge & Kumar, V. & Zhao, Yi, 2023. "A dynamic model of the contract length and early termination: The roles of technology evolution and pricing strategy," Journal of Business Research, Elsevier, vol. 167(C).
    20. Maria Rouziou, 2019. "The contingent value of pay inequalities in sales organizations: integrating literatures in economics, management, and psychology," AMS Review, Springer;Academy of Marketing Science, vol. 9(3), pages 184-204, December.
    21. Lamar Pierce & Alex Rees-Jones & Charlotte Blank, 2020. "The Negative Consequences of Loss-Framed Performance Incentives," NBER Working Papers 26619, National Bureau of Economic Research, Inc.
    22. Robert Ridlon & Jiwoong Shin, 2013. "Favoring the Winner or Loser in Repeated Contests," Marketing Science, INFORMS, vol. 32(5), pages 768-785, September.
    23. Tat Y. Chan & Jia Li & Lamar Pierce, 2014. "Learning from Peers: Knowledge Transfer and Sales Force Productivity Growth," Marketing Science, INFORMS, vol. 33(4), pages 463-484, July.
    24. Doug J. Chung & Byungyeon Kim & Byoung G. Park, 2021. "The Comprehensive Effects of Sales Force Management: A Dynamic Structural Analysis of Selection, Compensation, and Training," Management Science, INFORMS, vol. 67(11), pages 7046-7074, November.
    25. Masakazu Ishihara & Andrew T. Ching, 2019. "Dynamic Demand for New and Used Durable Goods Without Physical Depreciation: The Case of Japanese Video Games," Marketing Science, INFORMS, vol. 38(3), pages 392-416, May.
    26. Wyatt A. Schrock & Douglas E. Hughes & Yanhui Zhao & Clay Voorhees & John R. Hollenbeck, 2021. "Self-oriented competitiveness in salespeople: sales management implications," Journal of the Academy of Marketing Science, Springer, vol. 49(6), pages 1201-1221, November.
    27. Anja Schöttner, 2017. "Optimal Sales Force Compensation in Dynamic Settings: Commissions vs. Bonuses," Management Science, INFORMS, vol. 63(5), pages 1529-1544, May.
    28. Cai, Xiqian & Jiang, Wei & Song, Hong & Xie, Huihua, 2022. "Pay for performance schemes and manufacturing worker productivity: Evidence from a kinked design in China," Journal of Development Economics, Elsevier, vol. 156(C).
    29. Kräkel, Matthias & Schöttner, Anja, 2016. "Optimal sales force compensation," Journal of Economic Behavior & Organization, Elsevier, vol. 126(PA), pages 179-195.
    30. Jean-Pierre Dubé & Günter Hitsch & Pranav Jindal, 2014. "The Joint identification of utility and discount functions from stated choice data: An application to durable goods adoption," Quantitative Marketing and Economics (QME), Springer, vol. 12(4), pages 331-377, December.
    31. Pranav Jindal & Peter Newberry, 2022. "The Profitability of Revenue-Based Quotas Under Price Negotiation," Management Science, INFORMS, vol. 68(2), pages 917-940, February.
    32. Navid Mojir & K. Sudhir, 2014. "Price Search Across Time and Across Stores," Cowles Foundation Discussion Papers 1942R, Cowles Foundation for Research in Economics, Yale University, revised Jul 2019.
    33. Peter Arcidiacono & Robert A. Miller, 2011. "Conditional Choice Probability Estimation of Dynamic Discrete Choice Models With Unobserved Heterogeneity," Econometrica, Econometric Society, vol. 79(6), pages 1823-1867, November.
    34. Tinglong Dai & Kinshuk Jerath, 2013. "Salesforce Compensation with Inventory Considerations," Management Science, INFORMS, vol. 59(11), pages 2490-2501, November.
    35. Praveen K. Kopalle & Yacheng Sun & Scott A. Neslin & Baohong Sun & Vanitha Swaminathan, 2012. "The Joint Sales Impact of Frequency Reward and Customer Tier Components of Loyalty Programs," Marketing Science, INFORMS, vol. 31(2), pages 216-235, March.
    36. Jaap H. Abbring & Øystein Daljord, 2020. "Identifying the discount factor in dynamic discrete choice models," Quantitative Economics, Econometric Society, vol. 11(2), pages 471-501, May.
    37. Guofang Huang & Ahmed Khwaja & K. Sudhir, 2012. "Short Run Needs and Long Term Goals: A Dynamic Model of Thirst Management," Cowles Foundation Discussion Papers 1856, Cowles Foundation for Research in Economics, Yale University.
    38. Freeman, Richard B. & Huang, Wei & Li, Teng, 2021. "Non-linear Incentives, Worker Productivity, and Firm Profits: Evidence from a Quasi-Experiment," IZA Discussion Papers 14125, Institute of Labor Economics (IZA).
    39. Hai Che & Tülin Erdem & T. Öncü, 2015. "Consumer learning and evolution of consumer brand preferences," Quantitative Marketing and Economics (QME), Springer, vol. 13(3), pages 173-202, September.
    40. Song Yao & Carl F. Mela, 2011. "A Dynamic Model of Sponsored Search Advertising," Marketing Science, INFORMS, vol. 30(3), pages 447-468, 05-06.
    41. Hema Yoganarasimhan, 2013. "The Value of Reputation in an Online Freelance Marketplace," Marketing Science, INFORMS, vol. 32(6), pages 860-891, November.
    42. Selcuk, Cemil & Gokpinar, Bilal, 2022. "Incentivizing flexible workers in the gig economy: The case of ride-hailing," Cardiff Economics Working Papers E2022/11, Cardiff University, Cardiff Business School, Economics Section.
    43. Aviv Nevo & John L. Turner & Jonathan W. Williams, 2015. "Usage-Based Pricing and Demand for Residential Broadband," NBER Working Papers 21321, National Bureau of Economic Research, Inc.
    44. Patrick Bajari & Chenghuan Sean Chu & Denis Nekipelov & Minjung Park, 2013. "A Dynamic Model of Subprime Mortgage Default: Estimation and Policy Implications," NBER Working Papers 18850, National Bureau of Economic Research, Inc.
    45. Yacheng Sun & Shibo Li & Baohong Sun, 2015. "An Empirical Analysis of Consumer Purchase Decisions Under Bucket-Based Price Discrimination," Marketing Science, INFORMS, vol. 34(5), pages 646-668, September.
    46. Tat Y. Chan & Jia Li & Lamar Pierce, 2014. "Compensation and Peer Effects in Competing Sales Teams," Management Science, INFORMS, vol. 60(8), pages 1965-1984, August.
    47. Yang Wang & Frank A. Sloan, 2018. "Present bias and health," Journal of Risk and Uncertainty, Springer, vol. 57(2), pages 177-198, October.
    48. Tinglong Dai & Kinshuk Jerath, 2016. "Technical Note—Impact of Inventory on Quota-Bonus Contracts with Rent Sharing," Operations Research, INFORMS, vol. 64(1), pages 94-98, February.
    49. Christina M. Dalton & Gautam Gowrisankaran & Robert Town, 2015. "Salience, Myopia, and Complex Dynamic Incentives: Evidence from Medicare Part D," NBER Working Papers 21104, National Bureau of Economic Research, Inc.
    50. Michael D. Frakes & Melissa F. Wasserman, 2024. "Deadlines Versus Continuous Incentives: Evidence from the Patent Office," NBER Working Papers 32066, National Bureau of Economic Research, Inc.
    51. Schiraldi, Pasquale & Levy, Matthew R., 2020. "Identification of intertemporal preferences in history-dependent dynamic discrete choice models," CEPR Discussion Papers 14447, C.E.P.R. Discussion Papers.
    52. 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.
    53. Navid Mojir & K. Sudhir, 2014. "A Model of Multi-pass Search: Price Search across Stores and Time," Cowles Foundation Discussion Papers 1942R2, Cowles Foundation for Research in Economics, Yale University, revised Feb 2020.
    54. Li, Haoyang & Zhao, Jinhua, 2018. "What Drives (No) Adoption of New Irrigation Technologies: A Structural Dynamic Estimation Approach," 2018 Annual Meeting, August 5-7, Washington, D.C. 274474, Agricultural and Applied Economics Association.
    55. Joann F. de Zegher & Dan A. Iancu & Hau L. Lee, 2019. "Designing Contracts and Sourcing Channels to Create Shared Value," Manufacturing & Service Operations Management, INFORMS, vol. 21(2), pages 271-289, May.
    56. Guofang Huang & Ahmed Khwaja & K. Sudhir, 2015. "Short-Run Needs and Long-Term Goals: A Dynamic Model of Thirst Management," Marketing Science, INFORMS, vol. 34(5), pages 702-721, September.

  6. Craig J. Chapman & Thomas J. Steenburgh, 2011. "An Investigation of Earnings Management Through Marketing Actions," Management Science, INFORMS, vol. 57(1), pages 72-92, January.
    See citations under working paper version above.
  7. Thomas J. Steenburgh, 2008. "The Invariant Proportion of Substitution Property (IPS) of Discrete-Choice Models," Marketing Science, INFORMS, vol. 27(2), pages 300-307, 03-04.

    Cited by:

    1. Wiktor Adamowicz & David Bunch & Trudy Cameron & Benedict Dellaert & Michael Hanneman & Michael Keane & Jordan Louviere & Robert Meyer & Thomas Steenburgh & Joffre Swait, 2008. "Behavioral frontiers in choice modeling," Marketing Letters, Springer, vol. 19(3), pages 215-228, December.
    2. Davis, Peter & Schiraldi, Pasquale, 2013. "The flexible coefficient multinomial logit (FC-MNL) model of demand for differentiated products," LSE Research Online Documents on Economics 54252, London School of Economics and Political Science, LSE Library.
    3. Marije Schaafsma & Roy Brouwer, 2020. "Substitution Effects in Spatial Discrete Choice Experiments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(2), pages 323-349, February.
    4. Xie, Yi, 2016. "The Impact of Nutrient Demand and Marketing Instruments on Intra-Category Substitution," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236051, Agricultural and Applied Economics Association.
    5. Thomas J. Steenburgh & Andrew Ainslie, 2008. "Taste Heterogeneity, IIA, and the Similarity Critique," Harvard Business School Working Papers 09-049, Harvard Business School.
    6. Qiang Liu & Thomas J. Steenburgh & Sachin Gupta, 2015. "The Cross Attributes Flexible Substitution Logit: Uncovering Category Expansion and Share Impacts of Marketing Instruments," Marketing Science, INFORMS, vol. 34(1), pages 144-159, January.

  8. Wiktor Adamowicz & David Bunch & Trudy Cameron & Benedict Dellaert & Michael Hanneman & Michael Keane & Jordan Louviere & Robert Meyer & Thomas Steenburgh & Joffre Swait, 2008. "Behavioral frontiers in choice modeling," Marketing Letters, Springer, vol. 19(3), pages 215-228, December.

    Cited by:

    1. Linda Court Salisbury & Fred M. Feinberg, 2010. "Alleviating the Constant Stochastic Variance Assumption in Decision Research: Theory, Measurement, and Experimental Test," Marketing Science, INFORMS, vol. 29(1), pages 1-17, 01-02.
    2. James Agarwal & Wayne DeSarbo & Naresh K. Malhotra & Vithala Rao, 2015. "An Interdisciplinary Review of Research in Conjoint Analysis: Recent Developments and Directions for Future Research," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 2(1), pages 19-40, March.
    3. Debby van Helvoort‐Postulart & Benedict G. C. Dellaert & Trudy van der Weijden & Maarten F. von Meyenfeldt & Carmen D. Dirksen, 2009. "Discrete choice experiments for complex health‐care decisions: does hierarchical information integration offer a solution?," Health Economics, John Wiley & Sons, Ltd., vol. 18(8), pages 903-920, August.
    4. Rungie, Cam M. & Coote, Leonard V. & Louviere, Jordan J., 2012. "Latent variables in discrete choice experiments," Journal of choice modelling, Elsevier, vol. 5(3), pages 145-156.
    5. Oded Netzer & Olivier Toubia & Eric Bradlow & Ely Dahan & Theodoros Evgeniou & Fred Feinberg & Eleanor Feit & Sam Hui & Joseph Johnson & John Liechty & James Orlin & Vithala Rao, 2008. "Beyond conjoint analysis: Advances in preference measurement," Marketing Letters, Springer, vol. 19(3), pages 337-354, December.
    6. Elin Spegel & Kristina Ek, 2022. "Valuing the Impacts of Landslides: A Choice Experiment Approach," Economics of Disasters and Climate Change, Springer, vol. 6(1), pages 163-181, March.
    7. Pamela Giustinelli, 2016. "Group Decision Making With Uncertain Outcomes: Unpacking Child–Parent Choice Of The High School Track," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 57(2), pages 573-602, May.
    8. Pamela Giustinelli & Charles F. Manski, 2018. "Survey Measures Of Family Decision Processes For Econometric Analysis Of Schooling Decisions," Economic Inquiry, Western Economic Association International, vol. 56(1), pages 81-99, January.
    9. Dellaert, Benedict G.C. & Arentze, Theo A. & Timmermans, Harry J.P., 2008. "Shopping context and consumers’ mental representation of complex shopping trip decision problems," Journal of Retailing, Elsevier, vol. 84(2), pages 219-232.
    10. Tim Coltman & John Gattorna & Stuart Whiting, 2010. "Realigning Service Operations Strategy at DHL Express," Interfaces, INFORMS, vol. 40(3), pages 175-183, June.
    11. 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.
    12. Gebreegziabher, Z. & Mekonnen, A. & Beyene, A.D. & Hagos, F., 2018. "Valuation of access to irrigation water in rural Ethiopia: application of choice experiment and contingent valuation methods," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277168, International Association of Agricultural Economists.
    13. Rasch, Carsten & Louviere, Jordan J. & Teichert, Thorsten, 2015. "Using facial EMG and eye tracking to study integral affect in discrete choice experiments," Journal of choice modelling, Elsevier, vol. 14(C), pages 32-47.
    14. Emily Lancsar & Peter Burge, 2014. "Choice modelling research in health economics," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 28, pages 675-687, Edward Elgar Publishing.
    15. Thomas Otter & Joe Johnson & Jörg Rieskamp & Greg Allenby & Jeff Brazell & Adele Diederich & J. Hutchinson & Steven MacEachern & Shiling Ruan & Jim Townsend, 2008. "Sequential sampling models of choice: Some recent advances," Marketing Letters, Springer, vol. 19(3), pages 255-267, December.
    16. Jordan Louviere & Joffre Swait, 2010. "—Discussion of “Alleviating the Constant Stochastic Variance Assumption in Decision Research: Theory, Measurement, and Experimental Test”," Marketing Science, INFORMS, vol. 29(1), pages 18-22, 01-02.
    17. Gerald Häubl & Benedict G. C. Dellaert & Bas Donkers, 2010. "Tunnel Vision: Local Behavioral Influences on Consumer Decisions in Product Search," Marketing Science, INFORMS, vol. 29(3), pages 438-455, 05-06.
    18. Hoyos, David, 2010. "The state of the art of environmental valuation with discrete choice experiments," Ecological Economics, Elsevier, vol. 69(8), pages 1595-1603, June.
    19. Marsh, Dan & Phillips, Yvonne, 2012. "Difficult Choices: What Influences the Error Variance in a Choice Experiment," 2012 Conference, August 31, 2012, Nelson, New Zealand 139651, New Zealand Agricultural and Resource Economics Society.
    20. Hansen, Line Block & Termansen, Mette & Hasler, Berit, 2017. "Effectiveness Of Markets In Nitrogen Abatement: A Danish Case Study," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 260887, European Association of Agricultural Economists.
    21. Fischer, Anke & Glenk, Klaus, 2011. "One model fits all? -- On the moderating role of emotional engagement and confusion in the elicitation of preferences for climate change adaptation policies," Ecological Economics, Elsevier, vol. 70(6), pages 1178-1188, April.
    22. Lancsar, Emily & Louviere, Jordan & Donaldson, Cam & Currie, Gillian & Burgess, Leonie, 2013. "Best worst discrete choice experiments in health: Methods and an application," Social Science & Medicine, Elsevier, vol. 76(C), pages 74-82.
    23. Flynn, Terry Nicholas & Louviere, Jordan J. & Peters, Tim J. & Coast, Joanna, 2010. "Using discrete choice experiments to understand preferences for quality of life. Variance-scale heterogeneity matters," Social Science & Medicine, Elsevier, vol. 70(12), pages 1957-1965, June.
    24. Oleson, Kirsten L.L. & Barnes, Michele & Brander, Luke M. & Oliver, Thomas A. & van Beek, Ingrid & Zafindrasilivonona, Bienvenue & van Beukering, Pieter, 2015. "Cultural bequest values for ecosystem service flows among indigenous fishers: A discrete choice experiment validated with mixed methods," Ecological Economics, Elsevier, vol. 114(C), pages 104-116.

  9. Thomas Steenburgh, 2008. "Effort or timing: The effect of lump-sum bonuses," Quantitative Marketing and Economics (QME), Springer, vol. 6(3), pages 235-256, September.

    Cited by:

    1. Fabian Herweg & Daniel Müller & Philipp Weinschenk, 2010. "Binary Payment Schemes: Moral Hazard and Loss Aversion," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2010_38, Max Planck Institute for Research on Collective Goods.
    2. Sanjay Jain, 2012. "Self-Control and Incentives: An Analysis of Multiperiod Quota Plans," Marketing Science, INFORMS, vol. 31(5), pages 855-869, September.
    3. Sofia Moroni, 2016. "Dynamic Contracts Under Loss Aversion," Working Paper 5868, Department of Economics, University of Pittsburgh.
    4. Minkyung Kim & K. Sudhir & Kosuke Uetake & Rodrigo Canales, 2016. "Multidimensional Sales Incentives in CRM Settings: Customer Adverse Selection and Moral Hazard," Cowles Foundation Discussion Papers 2085, Cowles Foundation for Research in Economics, Yale University.
    5. Sanjog Misra & Harikesh Nair, 2011. "A structural model of sales-force compensation dynamics: Estimation and field implementation," Quantitative Marketing and Economics (QME), Springer, vol. 9(3), pages 211-257, September.
    6. 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.
    7. Paul S. Calem & Ricardo Correa & Seung Jung Lee, 2016. "Prudential Policies and Their Impact on Credit in the United States," International Finance Discussion Papers 1186, Board of Governors of the Federal Reserve System (U.S.).
    8. Longyuan Du & Ming Hu & Jiahua Wu, 2022. "Sales Effort Management Under All-or-Nothing Constraint," Management Science, INFORMS, vol. 68(7), pages 5109-5126, July.
    9. Bruttel, Lisa & Eisenkopf, Gerald, 2012. "No contract or unfair contract: What's better?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 41(4), pages 384-390.
    10. Lamar Pierce & Alex Rees-Jones & Charlotte Blank, 2020. "The Negative Consequences of Loss-Framed Performance Incentives," NBER Working Papers 26619, National Bureau of Economic Research, Inc.
    11. Doug J. Chung & Byungyeon Kim & Byoung G. Park, 2021. "The Comprehensive Effects of Sales Force Management: A Dynamic Structural Analysis of Selection, Compensation, and Training," Management Science, INFORMS, vol. 67(11), pages 7046-7074, November.
    12. Anja Schöttner, 2017. "Optimal Sales Force Compensation in Dynamic Settings: Commissions vs. Bonuses," Management Science, INFORMS, vol. 63(5), pages 1529-1544, May.
    13. Honda, Jun & Inderst, Roman, 2017. "Nonlinear Incentives and Advisor Bias," EconStor Preprints 253657, ZBW - Leibniz Information Centre for Economics.
    14. Kräkel, Matthias & Schöttner, Anja, 2016. "Optimal sales force compensation," Journal of Economic Behavior & Organization, Elsevier, vol. 126(PA), pages 179-195.
    15. Boosey, Luke & Goerg, Sebastian, 2020. "The timing of discretionary bonuses – effort, signals, and reciprocity," Games and Economic Behavior, Elsevier, vol. 124(C), pages 254-280.
    16. Chung, Doug J. & Kim, Byungyeon & Syam, Niladri B., 2020. "A Practical Approach to Sales Compensation: What Do We Know Now? What Should We Know in the Future?," Foundations and Trends(R) in Marketing, now publishers, vol. 11(1), pages 1-52, June.
    17. Jiwoong Shin & K. Sudhir, 2010. "A Customer Management Dilemma: When Is It Profitable to Reward One's Own Customers?," Marketing Science, INFORMS, vol. 29(4), pages 671-689, 07-08.
    18. Tinglong Dai & Kinshuk Jerath, 2013. "Salesforce Compensation with Inventory Considerations," Management Science, INFORMS, vol. 59(11), pages 2490-2501, November.
    19. Doug J. Chung & Thomas Steenburgh & K. Sudhir, 2014. "Do Bonuses Enhance Sales Productivity? A Dynamic Structural Analysis of Bonus-Based Compensation Plans," Marketing Science, INFORMS, vol. 33(2), pages 165-187, March.
    20. Tat Y. Chan & Jia Li & Lamar Pierce, 2014. "Compensation and Peer Effects in Competing Sales Teams," Management Science, INFORMS, vol. 60(8), pages 1965-1984, August.
    21. Tinglong Dai & Kinshuk Jerath, 2016. "Technical Note—Impact of Inventory on Quota-Bonus Contracts with Rent Sharing," Operations Research, INFORMS, vol. 64(1), pages 94-98, February.
    22. Bakó, Barna & Kálecz-Simon, András, 2013. "Quota bonuses with heterogeneous agents," Economics Letters, Elsevier, vol. 119(3), pages 316-320.

  10. Puneet Manchanda & Dick Wittink & Andrew Ching & Paris Cleanthous & Min Ding & Xiaojing Dong & Peter Leeflang & Sanjog Misra & Natalie Mizik & Sridhar Narayanan & Thomas Steenburgh & Jaap Wieringa & M, 2005. "Understanding Firm, Physician and Consumer Choice Behavior in the Pharmaceutical Industry," Marketing Letters, Springer, vol. 16(3), pages 293-308, December.

    Cited by:

    1. D. Crie & J.Ch. Chebat, 2013. "Health marketing : towards an integrative perspective," Post-Print hal-00803705, HAL.
    2. Kaiser, Ulrich & Mendez, Susan J. & Rønde, Thomas, 2010. "Regulation of pharmaceutical prices: Evidence from a reference price reform in Denmark," ZEW Discussion Papers 10-062, ZEW - Leibniz Centre for European Economic Research.
    3. Andrew J. Epstein & Jonathan D. Ketcham, 2014. "Information technology and agency in physicians' prescribing decisions," RAND Journal of Economics, RAND Corporation, vol. 45(2), pages 422-448, June.
    4. 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.
    5. Ruiz-Conde, Enar & Wieringa, Jaap E. & Leeflang, Peter S.H., 2014. "Competitive diffusion of new prescription drugs: The role of pharmaceutical marketing investment," Technological Forecasting and Social Change, Elsevier, vol. 88(C), pages 49-63.
    6. Sismeiro, Catarina & Mizik, Natalie & Bucklin, Randolph E., 2012. "Modeling coexisting business scenarios with time-series panel data: A dynamics-based segmentation approach," International Journal of Research in Marketing, Elsevier, vol. 29(2), pages 134-147.
    7. Kremer, Sara T.M. & Bijmolt, Tammo H.A. & Leeflang, Peter S.H. & Wieringa, Jaap E., 2008. "Generalizations on the effectiveness of pharmaceutical promotional expenditures," International Journal of Research in Marketing, Elsevier, vol. 25(4), pages 234-246.
    8. Peter Leeflang & Jaap Wieringa, 2010. "Modeling the effects of pharmaceutical marketing," Marketing Letters, Springer, vol. 21(2), pages 121-133, June.
    9. Ram Bala & Pradeep Bhardwaj, 2010. "Detailing vs. Direct-to-Consumer Advertising in the Prescription Pharmaceutical Industry," Management Science, INFORMS, vol. 56(1), pages 148-160, January.
    10. Stremersch, Stefan, 2008. "Health and marketing: The emergence of a new field of research," International Journal of Research in Marketing, Elsevier, vol. 25(4), pages 229-233.

  11. Thomas J. Steenburgh & Andrew Ainslie & Peder Hans Engebretson, 2003. "Massively Categorical Variables: Revealing the Information in Zip Codes," Marketing Science, INFORMS, vol. 22(1), pages 40-57, August.

    Cited by:

    1. M. Ballings & D. Van Den Poel & E. Verhagen, 2013. "Evaluating the Added Value of Pictorial Data for Customer Churn Prediction," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 13/869, Ghent University, Faculty of Economics and Business Administration.
    2. Baecke, Philippe & De Baets, Shari & Vanderheyden, Karlien, 2017. "Investigating the added value of integrating human judgement into statistical demand forecasting systems," International Journal of Production Economics, Elsevier, vol. 191(C), pages 85-96.
    3. van Dijk, Bram & Paap, Richard, 2008. "Explaining individual response using aggregated data," Journal of Econometrics, Elsevier, vol. 146(1), pages 1-9, September.
    4. P. Baecke & D. Van Den Poel, 2012. "Including Spatial Interdependence in Customer Acquisition Models: a Cross-Category Comparison," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 12/788, Ghent University, Faculty of Economics and Business Administration.
    5. P. Baecke & D. Van Den Poel, 2010. "Improving purchasing behavior predictions by data augmentation with situational variables," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 10/658, Ghent University, Faculty of Economics and Business Administration.
    6. P. Baecke & D. Van Den Poel, 2012. "Improving Customer Acquisition Models by Incorporating Spatial Autocorrelation at Different Levels of Granularity," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 12/819, Ghent University, Faculty of Economics and Business Administration.
    7. André Bonfrer & Xavier Drèze, 2009. "Real-Time Evaluation of E-mail Campaign Performance," Marketing Science, INFORMS, vol. 28(2), pages 251-263, 03-04.
    8. Jeonghye Choi & David R. Bell & Leonard M. Lodish, 2012. "Traditional and IS-Enabled Customer Acquisition on the Internet," Management Science, INFORMS, vol. 58(4), pages 754-769, April.
    9. Grinstein, Amir & Wathieu, Luc, 2012. "Happily (mal)adjusted: Cosmopolitan identity and expatriate adjustment," International Journal of Research in Marketing, Elsevier, vol. 29(4), pages 337-345.
    10. Andrew Ainslie & Xavier Drèze & Fred Zufryden, 2005. "Modeling Movie Life Cycles and Market Share," Marketing Science, INFORMS, vol. 24(3), pages 508-517, November.
    11. Piyush Anand & Clarence Lee, 2023. "Using Deep Learning to Overcome Privacy and Scalability Issues in Customer Data Transfer," Marketing Science, INFORMS, vol. 42(1), pages 189-207, January.
    12. Kelvyn Jones & Dewi Owen & Ron Johnston & James Forrest & David Manley, 2015. "Modelling the occupational assimilation of immigrants by ancestry, age group and generational differences in Australia: a random effects approach to a large table of counts," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(6), pages 2595-2615, November.
    13. Ron Borzekowski & Charles Taragin & Raphael Thomadsen, 2005. "Competition and price discrimination in the market for mailing lists," Finance and Economics Discussion Series 2005-56, Board of Governors of the Federal Reserve System (U.S.).
    14. Schneider, Matthew J. & Jagpal, Sharan & Gupta, Sachin & Li, Shaobo & Yu, Yan, 2017. "Protecting customer privacy when marketing with second-party data," International Journal of Research in Marketing, Elsevier, vol. 34(3), pages 593-603.
    15. Matthew Nagler, 2006. "An exploratory analysis of the determinants of cooperative advertising participation rates," Marketing Letters, Springer, vol. 17(2), pages 91-102, April.
    16. M. Ballings & D. Van Den Poel, 2012. "The Relevant Length of Customer Event History for Churn Prediction: How long is long enough?," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 12/804, Ghent University, Faculty of Economics and Business Administration.
    17. Steven M. Shugan, 2003. "Editorial: Compartmentalized Reviews and Other Initiatives: Should Marketing Scientists Review Manuscripts in Consumer Behavior?," Marketing Science, INFORMS, vol. 22(2), pages 151-160.
    18. Steven M. Shugan, 2004. "The Impact of Advancing Technology on Marketing and Academic Research," Marketing Science, INFORMS, vol. 23(4), pages 469-475.
    19. Wieringa, Jaap & Kannan, P.K. & Ma, Xiao & Reutterer, Thomas & Risselada, Hans & Skiera, Bernd, 2021. "Data analytics in a privacy-concerned world," Journal of Business Research, Elsevier, vol. 122(C), pages 915-925.
    20. Matthew J. Schneider & Sharan Jagpal & Sachin Gupta & Shaobo Li & Yan Yu, 2018. "A Flexible Method for Protecting Marketing Data: An Application to Point-of-Sale Data," Marketing Science, INFORMS, vol. 37(1), pages 153-171, January.

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