| Customer complaints and recovery effectiveness: A customer base approach G Knox, R Van Oest Journal of marketing 78 (5), 42-57, 2014 | 258 | 2014 |
| Measuring changes in consumer confidence R Van Oest, PH Franses Journal of Economic Psychology 29 (3), 255-275, 2008 | 63 | 2008 |
| On the econometrics of the Koyck model PH Franses, R van Oest Report/Econometric Institute, Erasmus University Rotterdam, 2004 | 44 | 2004 |
| Why are consumers less loss averse in internal than external reference prices? R Van Oest Journal of retailing 89 (1), 62-71, 2013 | 36 | 2013 |
| Extending the BG/NBD: A simple model of purchases and complaints R Van Oest, G Knox International Journal of Research in Marketing 28 (1), 30-37, 2011 | 34 | 2011 |
| Adaptive radial-based direction sampling: some flexible and robust Monte Carlo integration methods L Bauwens, CS Bos, HK van Dijk, RD van Oest Journal of Econometrics 123 (2), 201-225, 2004 | 31 | 2004 |
| Customer inconvenience and price compensation: A multiperiod approach to labor-automation trade-offs in services TW Andreassen, RD van Oest, L Lervik-Olsen Journal of Service Research 21 (2), 173-183, 2018 | 28 | 2018 |
| Return on roller coasters: A model to guide investments in theme park attractions RD Van Oest, HJ Van Heerde, MG Dekimpe Marketing Science 29 (4), 721-737, 2010 | 28 | 2010 |
| On the econometrics of the geometric lag model PH Franses, R Van Oest Economics Letters 95 (2), 291-296, 2007 | 27 | 2007 |
| Simulation‐Based Bayesian Econometric Inference: Principles and Some Recent Computational Advances LF Hoogerheide, HK Van Dijk, RD Van Oest Handbook of computational econometrics, 215-280, 2009 | 26 | 2009 |
| When is customer satisfaction ‘locked’? A longitudinal analysis of satisfaction stickiness L Lervik-Olsen, R van Oest, PC Verhoef BI Norwegian Business School, 2015 | 19 | 2015 |
| Which brands gain share from which brands? Inference from store-level scanner data R Van Oest Quantitative Marketing and Economics 3, 281-304, 2005 | 17 | 2005 |
| A new coefficient of interrater agreement: The challenge of highly unequal category proportions. R Van Oest Psychological Methods 24 (4), 439, 2019 | 15 | 2019 |
| Unconstrained Cholesky-based parametrization of correlation matrices R van Oest Communications in Statistics-Simulation and Computation 50 (11), 3607-3613, 2021 | 6 | 2021 |
| Testing changes in consumer confidence indicators PH Franses, R van Oest Report/Econometric Institute, Erasmus University Rotterdam, 2006 | 6 | 2006 |
| A joint framework for category purchase and consumption behavior RD Van Oest, R Paap, PH Franses Tinbergen Institute Working Paper, 2002 | 6 | 2002 |
| Adaptive polar sampling, a class of flexibel and robust monte carlo integration methods L Bauwens, C Bos, H van Dijk, R van Oest | 6 | 2002 |
| Weighting schemes and incomplete data: A generalized Bayesian framework for chance-corrected interrater agreement. R Van Oest, JM Girard Psychological Methods 27 (6), 1069, 2022 | 5 | 2022 |
| Analyzing the effects of past prices on reference price formation R van Oest, R Paap Report/Econometric Institute, Erasmus University Rotterdam, 2004 | 5 | 2004 |
| Essays Over Kwantitatieve Marketing Modellen en Monte Carlo Integratie Methoden R Van Oest Rozenberg Publishers, 2005 | 4 | 2005 |
