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Thomas Steenburgh

Personal Details

First Name:Thomas
Middle Name:
Last Name:Steenburgh
Suffix:
RePEc Short-ID:pst328
http://drfd.hbs.edu/fit/public/facultyInfo.do?facInfo=ovr&facEmId=tsteenburgh@hbs.edu

Affiliation

Darden School of Business
University of Virginia

Charlottesville, Virginia (United States)
http://www.darden.virginia.edu/

: 1-434-924-3900
1-434-243-7678
100 Darden Boulevard, Charlottesville, VA 22903
RePEc:edi:sbvirus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Qiang Liu & Thomas J. Steenburgh & Sachin Gupta, 2011. "The Flexible Substitution Logit: Uncovering Category Expansion and Share Impacts of Marketing Instruments," Harvard Business School Working Papers 12-012, Harvard Business School.
  2. Thomas Steenburgh & Andrew Ainslie, 2010. "Substitution Patterns of the Random Coefficients Logit," Harvard Business School Working Papers 10-053, Harvard Business School.
  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.
  4. Thomas J. Steenburgh & Andrew Ainslie, 2008. "Taste Heterogeneity, IIA, and the Similarity Critique," Harvard Business School Working Papers 09-049, Harvard Business School.
  5. 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.

Articles

  1. 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.
  2. 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.
  3. 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.
  4. Avery Jill & Steenburgh Thomas J. & Deighton John & Caravella Mary, 2013. "Adding Bricks to Clicks: On the Role of Physical Stores in a World of Online Shopping," GfK Marketing Intelligence Review, De Gruyter Open, vol. 5(2), pages 28-33, November.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.

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. 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," AMS Review, Springer;Academy of Marketing Science, vol. 5(3), pages 98-102, December.
    3. Gaganis, Chrysovalantis & Hasan, Iftekhar & Pasiouras, Fotios, 2016. "Regulations, institutions and income smoothing by managing technical reserves: International evidence from the insurance industry," Omega, Elsevier, vol. 59(PA), pages 113-129.
    4. 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.
    5. 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.
    6. 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.
    7. Li, Lingxiang, 2016. "New findings on repurchase anomaly — The first-month effect," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 331-349.
    8. 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.
    9. 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.

  2. 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. 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. 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.

  2. 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. Hanming Fang & Yang Wang, 2010. "Estimating Dynamic Discrete Choice Models with Hyperbolic Discounting, with an Application to Mammography Decisions," PIER Working Paper Archive 10-033, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    2. 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.
    3. 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.
    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. 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.
    7. 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.
    8. Andrew Ching & Masakazu Ishihara, 2014. "Dynamic Demand for New and Used Durable Goods without Physical Depreciation: The Case of Japanese Video Games," 2014 Meeting Papers 782, Society for Economic Dynamics.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. Kräkel, Matthias & Schöttner, Anja, 2016. "Optimal sales force compensation," Journal of Economic Behavior & Organization, Elsevier, vol. 126(PA), pages 179-195.
    16. 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.
    17. 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.

  3. 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.
  4. 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. Peter Davis & Pasquale Schiraldi, 2014. "The flexible coefficient multinomial logit (FC-MNL) model of demand for differentiated products," RAND Journal of Economics, RAND Corporation, vol. 45(1), pages 32-63, March.
    2. 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.
    3. Xie, Yi, 2016. "The Impact of Nutrient Demand and Marketing Instruments on Intra-Category Substitution," 2016 Annual Meeting, July 31-August 2, 2016, Boston, Massachusetts 236051, Agricultural and Applied Economics Association.
    4. Thomas J. Steenburgh & Andrew Ainslie, 2008. "Taste Heterogeneity, IIA, and the Similarity Critique," Harvard Business School Working Papers 09-049, Harvard Business School.

  5. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. Pamela Giustinelli, 2011. "Group Decision Making with Uncertain Outcomes: Unpacking Child-Parent Choices of High School Tracks," Working Papers 2011-030, Human Capital and Economic Opportunity Working Group.
    17. Emily Lancsar & Peter Burge, 2014. "Choice modelling research in health economics," Chapters,in: Handbook of Choice Modelling, chapter 28, pages 675-687 Edward Elgar Publishing.

  6. 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. 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.
    9. Bakó, Barna & Kálecz-Simon, András, 2013. "Quota bonuses with heterogeneous agents," Economics Letters, Elsevier, vol. 119(3), pages 316-320.
    10. Kräkel, Matthias & Schöttner, Anja, 2016. "Optimal sales force compensation," Journal of Economic Behavior & Organization, Elsevier, vol. 126(PA), pages 179-195.
    11. Srinath Gopalakrishna & Jason Garrett & Murali K. Mantrala & Shrihari Sridhar, 2016. "Assessing sales contest effectiveness: the role of salesperson and sales district characteristics," Marketing Letters, Springer, vol. 27(3), pages 589-602, September.
    12. 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.

  7. 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. 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.
    2. D. Crie & J.Ch. Chebat, 2013. "Health marketing : towards an integrative perspective," Post-Print hal-00803705, HAL.
    3. 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.
    4. 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 - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
    5. 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.
    6. 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.
    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.

  8. 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. 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.
    7. 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.
    8. André Bonfrer & Xavier Drèze, 2009. "Real-Time Evaluation of E-mail Campaign Performance," Marketing Science, INFORMS, vol. 28(2), pages 251-263, 03-04.
    9. Matthew Nagler, 2006. "An exploratory analysis of the determinants of cooperative advertising participation rates," Marketing Letters, Springer, vol. 17(2), pages 91-102, April.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. Steven M. Shugan, 2004. "The Impact of Advancing Technology on Marketing and Academic Research," Marketing Science, INFORMS, vol. 23(4), pages 469-475.
    15. Andrew Ainslie & Xavier Drèze & Fred Zufryden, 2005. "Modeling Movie Life Cycles and Market Share," Marketing Science, INFORMS, vol. 24(3), pages 508-517, November.
    16. 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.
    17. Ron Borzekowski & Raphael Thomadsen & Charles Taragin, 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.).

More information

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Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 3 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-DCM: Discrete Choice Models (3) 2008-10-07 2010-01-23 2011-09-16
  2. NEP-ECM: Econometrics (2) 2008-10-07 2010-01-23
  3. NEP-MKT: Marketing (1) 2011-09-16

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