| Year |
Citation |
Score |
| 2019 |
Xu JJ, Fader PS, Veeraraghavan SK. Designing and Evaluating Dynamic Pricing Policies for Major League Baseball Tickets Manufacturing & Service Operations Management. 21: 121-138. DOI: 10.2139/Ssrn.2796407 |
0.414 |
|
| 2019 |
Fader PS, Hardie BGS, McCarthy D, Vaidyanathan R. Exploring the Equivalence of Two Common Mixture Models for Duration Data The American Statistician. 73: 288-295. DOI: 10.1080/00031305.2018.1543134 |
0.359 |
|
| 2019 |
Fader PS, Hardie BGS, Liu Y, Davin J, Steenburgh T. Erratum to ‘“How to Project Customer Retention” Revisited: The Role of Duration Dependence’ [Journal of Interactive Marketing 43 (2018) 1–16] Journal of Interactive Marketing. 47: 198. DOI: 10.1016/J.Intmar.2019.07.001 |
0.316 |
|
| 2018 |
McCarthy DM, Fader PS. Customer-Based Corporate Valuation for Publicly Traded Non-Contractual Firms Journal of Marketing Research. 55: 617-635. DOI: 10.1509/Jmr.17.0102 |
0.45 |
|
| 2018 |
Fader PS, Hardie BGS, Liu Y, Davin J, Steenburgh T. 'How to Project Customer Retention' Revisited: The Role of Duration Dependence Journal of Interactive Marketing. 43: 1-16. DOI: 10.1016/J.Intmar.2018.01.002 |
0.373 |
|
| 2017 |
Schwartz EM, Bradlow ET, Fader PS. Customer Acquisition via Display Advertising Using Multi-Armed Bandit Experiments Marketing Science. 36: 500-522. DOI: 10.2139/Ssrn.2368523 |
0.346 |
|
| 2017 |
McCarthy DM, Fader PS, Hardie BGS. Valuing Subscription-Based Businesses Using Publicly Disclosed Customer Data Journal of Marketing. 81: 17-35. DOI: 10.1509/Jm.15.0519 |
0.46 |
|
| 2017 |
Tereyağoğlu N, Fader PS, Veeraraghavan SK. Multi-Attribute Loss Aversion and Reference Dependence: Evidence from the Performing Arts Industry Management Science. 64: 421-436. DOI: 10.1287/Mnsc.2016.2605 |
0.404 |
|
| 2017 |
Gopalakrishnan A, Bradlow ET, Fader PS. A Cross-Cohort Changepoint Model for Customer-Base Analysis Marketing Science. 36: 195-213. DOI: 10.1287/Mksc.2016.1007 |
0.435 |
|
| 2017 |
Tereyagoglu N, Fader PS, Veeraraghavan SK. Pricing Theater Seats: The Value of Price Commitment and Monotone Discounting Production and Operations Management. 26: 1056-1075. DOI: 10.1111/Poms.12611 |
0.429 |
|
| 2016 |
Winer RS, Fader PS. Objective vs. online ratings: Are low correlations unexpected and does it matter? A commentary on de Langhe, Fernbach, and Lichtenstein Journal of Consumer Research. 42: 846-849. DOI: 10.1093/Jcr/Ucv092 |
0.337 |
|
| 2016 |
Jerath K, Fader PS, Hardie BGS. Customer-base analysis using repeated cross-sectional summary (RCSS) data European Journal of Operational Research. 249: 340-350. DOI: 10.1016/J.Ejor.2015.09.002 |
0.451 |
|
| 2015 |
Stourm V, Bradlow ET, Fader PS. Stockpiling points in linear loyalty programs Journal of Marketing Research. 52: 253-267. DOI: 10.1509/Jmr.12.0354 |
0.403 |
|
| 2015 |
Abhishek V, Hosanagar K, Fader PS. Aggregation bias in sponsored search data: The curse and the cure Marketing Science. 34: 59-77. DOI: 10.1287/Mksc.2014.0884 |
0.709 |
|
| 2014 |
Fader PS, Bronnenberg BJ, Iyer G, Neslin SA, Netzer O, Srinivasan K. Report of the marketing science editorial review committee Marketing Science. 33: 159-162. DOI: 10.1287/Mksc.2013.0843 |
0.324 |
|
| 2014 |
Schwartz EM, Bradlow ET, Fader PS. Model selection using database characteristics: Developing a classification tree for longitudinal incidence data Marketing Science. 33: 188-205. DOI: 10.1287/Mksc.2013.0825 |
0.446 |
|
| 2013 |
Feit EM, Wang P, Bradlow ET, Fader PS. Fusing aggregate and disaggregate data with an application to multiplatform media consumption Journal of Marketing Research. 50: 348-364. DOI: 10.1509/Jmr.11.0431 |
0.421 |
|
| 2012 |
Zheng ZE, Fader P, Padmanabhan B. From Business Intelligence to Competitive Intelligence: Inferring Competitive Measures Using Augmented Site-Centric Data Information Systems Research. 23: 698-720. DOI: 10.2139/Ssrn.1323587 |
0.407 |
|
| 2012 |
Fader PS, Winer RS. Introduction to the special issue on the emergence and impact of user-generated content Marketing Science. 31: 369-371. DOI: 10.1287/Mksc.1120.0715 |
0.403 |
|
| 2012 |
Abhishek V, Hosanagar K, Fader PS. On aggregation bias in sponsored search data: Existence andimplications Proceedings of the Acm Conference On Electronic Commerce. 1. DOI: 10.1145/2229012.2229014 |
0.71 |
|
| 2011 |
Schweidel DA, Bradlow ET, Fader PS. Portfolio dynamics for customers of a multiservice provider Management Science. 57: 471-486. DOI: 10.1287/Mnsc.1100.1284 |
0.697 |
|
| 2011 |
Jerath K, Fader PS, Hardie BGS. New perspectives on customer "Death" using a generalization of the pareto/NBD model Marketing Science. 30: 866-880. DOI: 10.1287/Mksc.1110.0654 |
0.478 |
|
| 2011 |
Fader PS, Hardie BGS. Comment on "On Estimating Current-customer Equity Using Company Summary Data" Journal of Interactive Marketing. 25: 18-19. DOI: 10.1016/J.Intmar.2010.12.001 |
0.413 |
|
| 2010 |
Fader PS, Hardie BGS, Shang J. Customer-base analysis in a discrete-time noncontractual setting Marketing Science. 29: 1086-1108. DOI: 10.1287/Mksc.1100.0580 |
0.489 |
|
| 2010 |
Fader PS, Hardie BGS. Customer-base valuation in a contractual setting: The perils of ignoring heterogeneity Marketing Science. 29: 85-93. DOI: 10.1287/Mksc.1080.0482 |
0.371 |
|
| 2009 |
Hui SK, Fader PS, Bradlow ET. The traveling salesman goes shopping: The systematic deviations of grocery paths from TSP optimality Marketing Science. 28: 566-572. DOI: 10.2139/Ssrn.942570 |
0.346 |
|
| 2009 |
Schweidel DA, Fader PS. Dynamic changepoints revisited: An evolving process model of new product sales International Journal of Research in Marketing. 26: 119-124. DOI: 10.2139/Ssrn.729869 |
0.751 |
|
| 2009 |
Moe WW, Fader PS. The role of price tiers in advance purchasing of event tickets Journal of Service Research. 12: 73-86. DOI: 10.2139/Ssrn.1005726 |
0.731 |
|
| 2009 |
Fader PS, Winer RS. Call for Papers---Special Issue of Marketing Science on User-Generated Content (UGC): Deadline: January 15, 2010 Marketing Science. 28: 1007-1007. DOI: 10.1287/Mksc.1090.0527 |
0.377 |
|
| 2009 |
Hui SK, Fader PS, Bradlow ET. Path Data in Marketing: An Integrative Framework and Prospectus for Model Building Marketing Science. 28: 320-335. DOI: 10.1287/Mksc.1080.0400 |
0.439 |
|
| 2009 |
Hui SK, Bradlow ET, Fader PS. Testing behavioral hypotheses using an integrated model of grocery store shopping path and purchase behavior Journal of Consumer Research. 36: 478-493. DOI: 10.1086/599046 |
0.421 |
|
| 2009 |
Fader PS, Hardie BGS. Probability Models for Customer-Base Analysis Journal of Interactive Marketing. 23: 61-69. DOI: 10.1016/J.Intmar.2008.11.003 |
0.502 |
|
| 2008 |
Schweidel DA, Fader PS, Bradlow ET. Understanding service retention within and across cohorts using limited information Journal of Marketing. 72: 82-94. DOI: 10.1509/Jmkg.72.1.82 |
0.717 |
|
| 2008 |
Schweidel DA, Fader PS, Bradlow ET. A bivariate timing model of customer acquisition and retention Marketing Science. 27: 829-843. DOI: 10.1287/Mksc.1070.0328 |
0.737 |
|
| 2008 |
McShane B, Adrian M, Bradlow ET, Fader PS. Count models based on weibull interarrival times Journal of Business and Economic Statistics. 26: 369-378. DOI: 10.1198/073500107000000278 |
0.42 |
|
| 2008 |
Abhishek V, Fader PS, Hosanagar K. Modeling user click behavior in sponsored search 2008 Workshop On Information Technologies and Systems, Wits 2008. 103-108. |
0.724 |
|
| 2007 |
Fader PS, Hardie BGS, Jerath K. Estimating CLV using aggregated data: The Tuscan Lifestyles case revisited Journal of Interactive Marketing. 21: 55-71. DOI: 10.1002/Dir.20085 |
0.393 |
|
| 2007 |
Fader PS, Hardie BGS. How to project customer retention Journal of Interactive Marketing. 21: 76-90. DOI: 10.1002/Dir.20074 |
0.433 |
|
| 2006 |
Braun M, Fader PS, Bradlow ET, Kunreuther H. Modeling the "pseudodeductible" in insurance claims decisions Management Science. 52: 1258-1272. DOI: 10.1287/Mnsc.1060.0517 |
0.576 |
|
| 2005 |
Fader PS, Hardie BGS, Lee KL. RFM and CLV: Using iso-value curves for customer base analysis Journal of Marketing Research. 42: 415-430. DOI: 10.1509/Jmkr.2005.42.4.415 |
0.47 |
|
| 2005 |
Fader PS, Hardie BGS, Lee KL. "Counting your customers" the easy way: An alternative to the Pareto/NBD model Marketing Science. 24: 275-284. DOI: 10.1287/Mksc.1040.0098 |
0.433 |
|
| 2005 |
Larson JS, Bradlow ET, Fader PS. An exploratory look at supermarket shopping paths International Journal of Research in Marketing. 22: 395-414. DOI: 10.1016/J.Ijresmar.2005.09.005 |
0.368 |
|
| 2005 |
Kamakura W, Mela CF, Ansari A, Bodapati A, Fader P, Iyengar R, Naik P, Neslin S, Sun B, Verhoef PC, Wedel M, Wilcox R. Choice models and customer relationship management Marketing Letters. 16: 279-291. DOI: 10.1007/S11002-005-5892-2 |
0.45 |
|
| 2005 |
Fader PS, Hardie BGS. The value of simple models in new product forecasting and customer-base analysis Applied Stochastic Models in Business and Industry. 21: 461-473. DOI: 10.1002/Asmb.592 |
0.479 |
|
| 2004 |
Johnson EJ, Moe WW, Fader PS, Bellman S, Lohse GL. On the Depth and Dynamics of Online Search Behavior Management Science. 50: 299-308. DOI: 10.1287/Mnsc.1040.0194 |
0.74 |
|
| 2004 |
Moe WW, Fader PS. Dynamic Conversion Behavior at E-Commerce Sites Management Science. 50: 326-335. DOI: 10.1287/Mnsc.1040.0153 |
0.767 |
|
| 2004 |
Park YH, Fader PS. Modeling browsing behavior at multiple websites Marketing Science. 23. DOI: 10.1287/Mksc.1040.0050 |
0.605 |
|
| 2004 |
Fader PS, Hardie BGS, Huang CY. A Dynamic Changepoint Model for New Product Sales Forecasting Marketing Science. 23. DOI: 10.1287/Mksc.1030.0046 |
0.505 |
|
| 2004 |
Moe WW, Fader PS. Capturing evolving visit behavior in clickstream data Journal of Interactive Marketing. 18: 5-19. DOI: 10.1002/Dir.10074 |
0.735 |
|
| 2003 |
Fader PS, Hardie BGS, Zeithammer R. Forecasting new product trial in a controlled test market environment Journal of Forecasting. 22: 391-410. DOI: 10.1002/For.869 |
0.47 |
|
| 2002 |
Moe WW, Fader PS. Fast-Track: Article Using Advance Purchase Orders to Forecast New Product Sales Marketing Science. 21: 347-364. DOI: 10.1287/Mksc.21.3.347.138 |
0.766 |
|
| 2002 |
Fader PS, Hardie BGS. A note on an integrated model of customer buying behavior European Journal of Operational Research. 139: 682-687. DOI: 10.1016/S0377-2217(01)00165-5 |
0.476 |
|
| 2002 |
Moe WW, Fader PS. Using advance purchase orders to forecast new product sales Marketing Science. 21: 347-364. |
0.693 |
|
| 2001 |
Moe WW, Fader PS. Uncovering patterns in cybershopping California Management Review. 106-117. DOI: 10.2307/41166103 |
0.732 |
|
| 2001 |
Moe WW, Fader PS. Modeling hedonic portfolio products: A joint segmentation analysis of music compact disc sales Journal of Marketing Research. 38: 376-385. DOI: 10.1509/Jmkr.38.3.376.18866 |
0.739 |
|
| 2001 |
Fader PS, Hardie BGS. Forecasting Repeat Sales at CDNOW: A Case Study Interfaces. 31: 94-107. DOI: 10.1287/Inte.31.4.94.9683 |
0.431 |
|
| 2001 |
Bradlow ET, Fader PS. A Bayesian Lifetime Model for the “Hot 100” Billboard Songs Journal of the American Statistical Association. 96: 368-381. DOI: 10.1198/016214501753168091 |
0.368 |
|
| 2000 |
Fader PS, Hardie BGS. A note on modelling underreported Poisson counts Journal of Applied Statistics. 27: 953-964. DOI: 10.1080/02664760050173283 |
0.401 |
|
| 1998 |
Hardie BGS, Fader PS, Wisniewski M. An empirical comparison of new product trial forecasting models Journal of Forecasting. 17: 209-229. DOI: 10.1002/(Sici)1099-131X(199806/07)17:3/4<209::Aid-For694>3.0.Co;2-3 |
0.491 |
|
| 1996 |
Fader PS, Hardie BGS. Modeling consumer choice among SKUs Journal of Marketing Research. 33: 442-452. DOI: 10.1177/002224379603300406 |
0.489 |
|
| 1996 |
Bhattacharya CB, Fader PS, Lodish LM, Desarbo WS. The relationship between the marketing mix and share of category requirements Marketing Letters. 7: 5-18. DOI: 10.1007/Bf00557307 |
0.403 |
|
| 1994 |
Winer RS, Bucklin RE, Deighton J, Erdem T, Fader PS, Inman JJ, Katahira H, Lemon K, Mitchell A. When worlds collide: The implications of panel data-based choice models for consumer behavior Marketing Letters. 5: 383-394. DOI: 10.1007/Bf00999212 |
0.421 |
|
| 1993 |
Hardie BGS, Johnson EJ, Fader PS. Modeling Loss Aversion and Reference Dependence Effects on Brand Choice Marketing Science. 12: 378-394. DOI: 10.1287/Mksc.12.4.378 |
0.452 |
|
| 1993 |
Fader PS, Lattin JM. Accounting for Heterogeneity and Nonstationarity in a Cross-Sectional Model of Consumer Purchase Behavior Marketing Science. 12: 304-317. DOI: 10.1287/Mksc.12.3.304 |
0.442 |
|
| 1993 |
Fader PS, Schmittlein DC. Excess Behavioral Loyalty for High-Share Brands: Deviations from the Dirichlet Model for Repeat Purchasing: Journal of Marketing Research. 30: 478-493. DOI: 10.1177/002224379303000407 |
0.432 |
|
| 1993 |
Fader PS. Integrating the Dirichlet-multinomial and multinomial logit models of brand choice Marketing Letters. 4: 99-112. DOI: 10.1007/Bf00994069 |
0.471 |
|
| 1990 |
Fader PS, Mcalister L. An Elimination by Aspects Model of Consumer Response to Promotion Calibrated on UPC Scanner Data Journal of Marketing Research. 27: 322-332. DOI: 10.1177/002224379002700306 |
0.4 |
|
| 1990 |
Fader PS, Lodish LM. A Cross-Category Analysis of Category Structure and Promotional Activity for Grocery Products: Journal of Marketing. 54: 52-65. DOI: 10.1177/002224299005400405 |
0.373 |
|
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