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Dennis Fok

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.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Dick van Dijk & Dennis Fok & Philip Hans Franses, 2005. "A multi-level panel STAR model for US manufacturing sectors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(6), pages 811-827.

    Mentioned in:

    1. A multi-level panel STAR model for US manufacturing sectors (Journal of Applied Econometrics 2005) in ReplicationWiki ()

Working papers

  1. Li, W. & Fok, D. & Franses, Ph.H.B.F., 2019. "Forecasting own brand sales: Does incorporating competition help?," Econometric Institute Research Papers EI2019-35, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Oliver Schaer & Nikolaos Kourentzes & Robert Fildes, 2022. "Predictive competitive intelligence with prerelease online search traffic," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3823-3839, October.

  2. Jacobs, B.J.D. & Donkers, A.C.D. & Fok, D., 2016. "Model-based Purchase Predictions for Large Assortments," ERIM Report Series Research in Management ERS-2014-007-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

    Cited by:

    1. Didier Nibbering, 2023. "A High-dimensional Multinomial Logit Model," Monash Econometrics and Business Statistics Working Papers 19/23, Monash University, Department of Econometrics and Business Statistics.
    2. Roozbeh Irani-Kermani & Edward C. Jaenicke & Ardalan Mirshani, 2023. "Accommodating heterogeneity in brand loyalty estimation: application to the U.S. beer retail market," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(4), pages 820-835, December.
    3. Hyowon Kim & Greg M. Allenby, 2022. "Integrating Textual Information into Models of Choice and Scaled Response Data," Marketing Science, INFORMS, vol. 41(4), pages 815-830, July.
    4. Khai Xiang Chiong & Matthew Shum, 2019. "Random Projection Estimation of Discrete-Choice Models with Large Choice Sets," Management Science, INFORMS, vol. 65(1), pages 256-271, January.
    5. Vivek F. Farias & Andrew A. L, 2019. "Learning Preferences with Side Information," Management Science, INFORMS, vol. 65(7), pages 3131-3149, July.
    6. Feng, Yi & Yin, Yunqiang & Wang, Dujuan & Dhamotharan, Lalitha, 2022. "A dynamic ensemble selection method for bank telemarketing sales prediction," Journal of Business Research, Elsevier, vol. 139(C), pages 368-382.
    7. Harald Hruschka, 2021. "Comparing unsupervised probabilistic machine learning methods for market basket analysis," Review of Managerial Science, Springer, vol. 15(2), pages 497-527, February.
    8. Pamuksuz, Utku & Yun, Joseph T. & Humphreys, Ashlee, 2021. "A Brand-New Look at You: Predicting Brand Personality in Social Media Networks with Machine Learning," Journal of Interactive Marketing, Elsevier, vol. 56(C), pages 55-69.
    9. Harald Hruschka, 2022. "Analyzing joint brand purchases by conditional restricted Boltzmann machines," Review of Managerial Science, Springer, vol. 16(4), pages 1117-1145, May.
    10. Adam N. Smith & Jim E. Griffin, 2023. "Shrinkage priors for high-dimensional demand estimation," Quantitative Marketing and Economics (QME), Springer, vol. 21(1), pages 95-146, March.
    11. Daria Dzyabura & John R. Hauser, 2019. "Recommending Products When Consumers Learn Their Preference Weights," Marketing Science, INFORMS, vol. 38(3), pages 417-441, May.
    12. Pradeep Chintagunta & Dominique M. Hanssens & John R. Hauser, 2016. "Editorial—Marketing Science and Big Data," Marketing Science, INFORMS, vol. 35(3), pages 341-342, May.
    13. Liu, Yezheng & Qian, Yang & Jiang, Yuanchun & Shang, Jennifer, 2020. "Using favorite data to analyze asymmetric competition: Machine learning models," European Journal of Operational Research, Elsevier, vol. 287(2), pages 600-615.
    14. Ratchford, Brian & Soysal, Gonca & Zentner, Alejandro & Gauri, Dinesh K., 2022. "Online and offline retailing: What we know and directions for future research," Journal of Retailing, Elsevier, vol. 98(1), pages 152-177.
    15. Rob Donnelly & Francisco R. Ruiz & David Blei & Susan Athey, 2019. "Counterfactual Inference for Consumer Choice Across Many Product Categories," Papers 1906.02635, arXiv.org, revised Aug 2023.
    16. Robert Donnelly & Ayush Kanodia & Ilya Morozov, 2024. "Welfare Effects of Personalized Rankings," Marketing Science, INFORMS, vol. 43(1), pages 92-113, January.
    17. Didier Nibbering, 2019. "A High-dimensional Multinomial Choice Model," Monash Econometrics and Business Statistics Working Papers 19/19, Monash University, Department of Econometrics and Business Statistics.
    18. Adam N. Smith & Peter E. Rossi & Greg M. Allenby, 2019. "Inference for Product Competition and Separable Demand," Marketing Science, INFORMS, vol. 38(4), pages 690-710, July.
    19. Justyna Klejdysz & Robin L. Lumsdaine, 2023. "Shifts in ECB Communication: A Textual Analysis of the Press Conference," International Journal of Central Banking, International Journal of Central Banking, vol. 19(2), pages 473-542, June.
    20. Martin Reisenbichler & Thomas Reutterer, 2019. "Topic modeling in marketing: recent advances and research opportunities," Journal of Business Economics, Springer, vol. 89(3), pages 327-356, April.
    21. Wang, Xin (Shane) & Ryoo, Jun Hyun (Joseph) & Bendle, Neil & Kopalle, Praveen K., 2021. "The role of machine learning analytics and metrics in retailing research," Journal of Retailing, Elsevier, vol. 97(4), pages 658-675.
    22. Sebastian Gabel & Artem Timoshenko, 2022. "Product Choice with Large Assortments: A Scalable Deep-Learning Model," Management Science, INFORMS, vol. 68(3), pages 1808-1827, March.
    23. Malgorzata Solarz & Jacek Adamek, 2021. "Factors Affecting Mobile Banking Adoption in Poland: An Empirical Study," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 1018-1046.
    24. Bruno Jacobs & Dennis Fok & Bas Donkers, 2021. "Understanding Large-Scale Dynamic Purchase Behavior," Marketing Science, INFORMS, vol. 40(5), pages 844-870, September.
    25. Schröder, Nadine & Falke, Andreas & Hruschka, Harald & Reutterer, Thomas, 2019. "Analyzing the Browsing Basket: A Latent Interests-Based Segmentation Tool," Journal of Interactive Marketing, Elsevier, vol. 47(C), pages 181-197.
    26. Sung, Ming-Chien & McDonald, David C.J. & Johnson, Johnnie E.V. & Tai, Chung-Ching & Cheah, Eng-Tuck, 2019. "Improving prediction market forecasts by detecting and correcting possible over-reaction to price movements," European Journal of Operational Research, Elsevier, vol. 272(1), pages 389-405.
    27. Jiapeng Liu & Miłosz Kadziński & Xiuwu Liao, 2023. "Modeling Contingent Decision Behavior: A Bayesian Nonparametric Preference-Learning Approach," INFORMS Journal on Computing, INFORMS, vol. 35(4), pages 764-785, July.
    28. Ma, Liye & Sun, Baohong, 2020. "Machine learning and AI in marketing – Connecting computing power to human insights," International Journal of Research in Marketing, Elsevier, vol. 37(3), pages 481-504.
    29. Venkatesh Shankar & Sohil Parsana, 2022. "An overview and empirical comparison of natural language processing (NLP) models and an introduction to and empirical application of autoencoder models in marketing," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1324-1350, November.
    30. Hruschka, Harald, 2016. "Hidden Variable Models for Market Basket Data. Statistical Performance and Managerial Implications," University of Regensburg Working Papers in Business, Economics and Management Information Systems 489, University of Regensburg, Department of Economics.
    31. Kim, Jong Min & Park, Keeyeon Ki-cheon & Mariani, Marcello M., 2023. "Do online review readers react differently when exposed to credible versus fake online reviews?," Journal of Business Research, Elsevier, vol. 154(C).
    32. Andreas Falke & Harald Hruschka, 2022. "Analyzing browsing across websites by machine learning methods," Journal of Business Economics, Springer, vol. 92(5), pages 829-852, July.

  3. Bel, K. & Fok, D. & Paap, R., 2014. "Parameter Estimation in Multivariate Logit models with Many Binary Choices," Econometric Institute Research Papers EI 2014-25, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Angelo Moretti, 2023. "Estimation of small area proportions under a bivariate logistic mixed model," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3663-3684, August.
    2. Qinan Lu & Xiaodong Du & Huanguang Qiu, 2022. "Adoption patterns and productivity impacts of agricultural mechanization services," Agricultural Economics, International Association of Agricultural Economists, vol. 53(5), pages 826-845, September.
    3. Richards, Timothy & Hamilton, Stephen, 2016. "Retail Market Power in a Shopping Basket Model of Supermarket Competition," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235801, Agricultural and Applied Economics Association.
    4. Bel, K. & Paap, R., 2014. "A Multivariate Model for Multinomial Choices," Econometric Institute Research Papers EI 2014-26, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Ma, Wanglin & Zheng, Hongyun & Gong, Binlei, 2022. "Rural income growth, ethnic differences, and household cooking fuel choice: Evidence from China," Energy Economics, Elsevier, vol. 107(C).
    6. Harald Hruschka, 2022. "Analyzing joint brand purchases by conditional restricted Boltzmann machines," Review of Managerial Science, Springer, vol. 16(4), pages 1117-1145, May.
    7. Lu, Qinan & Du, Xiaodong, 2020. "The Outsourcing Choice of Agricultural Production Tasks: Implications for Food Security - A Multiple-task Based Approach," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304333, Agricultural and Applied Economics Association.
    8. Fok, D. & Paap, R., 2019. "New Misspecification Tests for Multinomial Logit Models," Econometric Institute Research Papers EI2019-24, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    9. Valerie Kilders & Vincenzina Caputo & Jayson L. Lusk, 2024. "Consumer preferences for food away from home: Dine in versus delivery," American Journal of Agricultural Economics, John Wiley & Sons, vol. 106(2), pages 496-525, March.
    10. Kerem Tuzcuoglu, 2019. "Composite Likelihood Estimation of an Autoregressive Panel Probit Model with Random Effects," Staff Working Papers 19-16, Bank of Canada.
    11. Sierminska, Eva & Oaxaca, Ronald L., 2022. "Gender differences in economics PhD field specializations with correlated choices," Labour Economics, Elsevier, vol. 79(C).
    12. Huong Hoang-Thi & Shah Fahad & Ashfaq Ahmad Shah & Tung Nguyen-Huu-Minh & Tuan Nguyen-Anh & Song Nguyen-Van & Nguyen To-The & Huong Nguyen-Thi-Lan, 2023. "Evaluating the farmers’ adoption behavior of water conservation in mountainous region Vietnam: extrinsic and intrinsic determinants," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 115(2), pages 1313-1330, January.
    13. Filippopoulou, Chryssanthi & Galariotis, Emilios & Spyrou, Spyros, 2020. "An early warning system for predicting systemic banking crises in the Eurozone: A logit regression approach," Journal of Economic Behavior & Organization, Elsevier, vol. 172(C), pages 344-363.
    14. Neuhofer, Zachary T. & Lusk, Jayson L., 2023. "Impacts of Variety-Seeking, Substitution, and Demographics on Demand for Plant-Based Meat Alternatives," 2023 Annual Meeting, July 23-25, Washington D.C. 335456, Agricultural and Applied Economics Association.
    15. Caputo, Vincenzina & Lusk, Jayson L., 2022. "The Basket-Based Choice Experiment: A Method for Food Demand Policy Analysis," Food Policy, Elsevier, vol. 109(C).

  4. Aiste Ruseckaite & Peter Goos & Dennis Fok, 2014. "Bayesian D-Optimal Choice Designs for Mixtures," Tinbergen Institute Discussion Papers 14-057/III, Tinbergen Institute.

    Cited by:

    1. Zijlstra, Toon & Goos, Peter & Verhetsel, Ann, 2019. "A mixture-amount stated preference study on the mobility budget," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 230-246.
    2. Boonaert, Eva & Hoyweghen, Kaat Van & Feyisa, Ashenafi Duguma & Goos, Peter & Maertens, Miet, 2021. "Twofold Gendered Preferences in the Quantity-Quality Trade-Off Impact the Demographic Transition in Ethiopia," 2021 Conference, August 17-31, 2021, Virtual 315224, International Association of Agricultural Economists.

  5. Korkmaz, E. & Kuik, R. & Fok, D., 2013. ""Counting Your Customers": When will they buy next? An empirical validation of probabilistic customer base analysis models based on purchase timing," ERIM Report Series Research in Management ERS-2013-001-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

    Cited by:

    1. Angelovska, Nina, 2021. "Analysis Of Customer Activity, The Importance Of Timing For Effective Marketing Actions: Case Of Group Buying Site, Grouper," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, vol. 12(2), pages 156-170.

  6. Peers, Y. & Fok, D. & Franses, Ph.H.B.F., 2010. "Modeling Seasonality in New Product Diffusion," ERIM Report Series Research in Management ERS-2010-029-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

    Cited by:

    1. Guidolin, Mariangela & Guseo, Renato, 2014. "Modelling seasonality in innovation diffusion," Technological Forecasting and Social Change, Elsevier, vol. 86(C), pages 33-40.
    2. Fernández-Durán, J.J., 2014. "Modeling seasonal effects in the Bass Forecasting Diffusion Model," Technological Forecasting and Social Change, Elsevier, vol. 88(C), pages 251-264.
    3. Collins, Matthew & Curtis, John, 2017. "Advertising and investment spillovers in the diffusion of residential energy efficiency renovations," Papers WP569, Economic and Social Research Institute (ESRI).
    4. Goodwin, Paul & Meeran, Sheik & Dyussekeneva, Karima, 2014. "The challenges of pre-launch forecasting of adoption time series for new durable products," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1082-1097.
    5. Xiao, Yu & Han, Jingti, 2016. "Forecasting new product diffusion with agent-based models," Technological Forecasting and Social Change, Elsevier, vol. 105(C), pages 167-178.
    6. Øverby, Harald & Audestad, Jan A. & Szalkowski, Gabriel Andy, 2023. "Compartmental market models in the digital economy—extension of the Bass model to complex economic systems," Telecommunications Policy, Elsevier, vol. 47(1).

  7. André van Stel & Roy Thurik & Dennis Fok & Andrew Burke, 2009. "The Dynamics of Entry and Exit," Scales Research Reports H200907, EIM Business and Policy Research.

    Cited by:

    1. Rui Baptista & Paulo Madruga & Vitor Escaria, "undated". "Entrepreneurship, Regional Development and Job Creation: the Case of Portugal," Papers on Entrepreneurship, Growth and Public Policy 2005-06, Max Planck Institute of Economics, Entrepreneurship, Growth and Public Policy Group.
    2. Richard Kneller & Danny McGowan, 2011. "Tax Policy and Firm Entry and Exit Dynamics: Evidence from OECD Countries," Discussion Papers 11/08, University of Nottingham, School of Economics.
    3. Jolanda Hessels & Isabel Grilo & Roy Thurik & Peter Zwan, 2011. "Entrepreneurial exit and entrepreneurial engagement," Journal of Evolutionary Economics, Springer, vol. 21(3), pages 447-471, August.
    4. Richard Kneller & Danny McGowan, 2011. "Entrepreneurship Dynamics, Market Size and Fiscal Policy," Discussion Papers 11/07, University of Nottingham, School of Economics.
    5. André van Stel & Sander Wennekers & Jolanda Hessels & Peter van der Zwan, 2012. "Global Entrepreneurship Monitor 2011 The Netherlands," Scales Research Reports A201211, EIM Business and Policy Research.

  8. Fok, D. & Paap, R. & Franses, Ph.H.B.F., 2008. "Incorporating responsiveness to marketing efforts in brand choice modelling," Econometric Institute Research Papers EI 2008-15, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Kristina Ročkutė & Inga Minelgaitė & Ligita Zailskaitė-Jakštė & Robertas Damaševičius, 2018. "Brand Awareness in the Context of Mistrust: The Case Study of an Employment Agency," Sustainability, MDPI, vol. 10(3), pages 1-13, March.

  9. van Everdingen, Y.M. & Fok, D. & Stremersch, S., 2008. "Modeling Global Spill-Over of New Product Takeoff," ERIM Report Series Research in Management ERS-2008-067-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

    Cited by:

    1. Rutger D. van Oest & Harald J. van Heerde & Marnik G. Dekimpe, 2010. "Return on Roller Coasters: A Model to Guide Investments in Theme Park Attractions," Marketing Science, INFORMS, vol. 29(4), pages 721-737, 07-08.
    2. Sangkil Moon & Barry Bayus & Youjae Yi & Junhee Kim, 2015. "Local consumers’ reception of imported and domestic movies in the Korean movie market," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 39(1), pages 99-121, February.
    3. Stefan Stremersch & Eitan Muller & Renana Peres, 2010. "Does new product growth accelerate across technology generations?," Marketing Letters, Springer, vol. 21(2), pages 103-120, June.
    4. Lemmens, A. & Croux, C. & Stremersch, S., 2012. "Dynamics in international market segmentation of new product growth," Other publications TiSEM 306086bd-670f-48d2-97d1-3, Tilburg University, School of Economics and Management.
    5. Antonio Ladrón-de-Guevara & William Putsis, 2015. "Multi-Market, Multi-Product New Product Diffusion: Decomposing Local, Foreign, and Indirect (Cross-Product) Effects," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 2(1), pages 57-70, March.
    6. Gelper, Sarah & Wilms, Ines & Croux, Christophe, 2016. "Identifying Demand Effects in a Large Network of Product Categories," Journal of Retailing, Elsevier, vol. 92(1), pages 25-39.
    7. Camacho, N.M.A. & de Jong, M.G. & Stremersch, S., 2014. "The Effect of Customer Empowerment on Adherence to Expert Advice," ERIM Report Series Research in Management ERS-2014-005-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    8. Hernández-Mireles, C., 2010. "Finding the Influentials that Drive the Diffusion of New Technologies," ERIM Report Series Research in Management ERS-2010-023-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    9. Moon, Sangkil & Song, Reo, 2015. "The Roles of Cultural Elements in International Retailing of Cultural Products: An Application to the Motion Picture Industry," Journal of Retailing, Elsevier, vol. 91(1), pages 154-170.

  10. van Dijk, A. & Fok, D. & Paap, R., 2007. "A rank-ordered logit model with unobserved heterogeneity in ranking capabilities," Econometric Institute Research Papers EI 2007-07, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Amel Awadelkarim & Arjun Seshadri & Itai Ashlagi & Irene Lo & Johan Ugander, 2023. "Rank-heterogeneous Preference Models for School Choice," Papers 2306.01801, arXiv.org.
    2. Paolo Delle Site & Karim Kilani & Valerio Gatta & Edoardo Marcucci & André de Palma, 2019. "Estimation of consistent Logit and Probit models using best, worst and best–worst choices," Post-Print hal-03719022, HAL.
    3. José L. Oviedo & Hong Il Yoo, 2017. "A Latent Class Nested Logit Model for Rank-Ordered Data with Application to Cork Oak Reforestation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(4), pages 1021-1051, December.
    4. Changbiao Liu & Yuling Li, 2023. "Estimation of Rank-Ordered Regret Minimization Models," Computational Economics, Springer;Society for Computational Economics, vol. 62(4), pages 1611-1630, December.
    5. Arnaud Dupuy & Alfred Galichon & Sonia Jaffe & Scott Duke Kominers, 2020. "Taxation In Matching Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(4), pages 1591-1634, November.
    6. DunGang Zang & Krishna P. Paudel & Yan Liu & Dan Liu & Yating He, 2023. "Financial decision-making behaviors of Ethnic Tibetan Households based on mental accounting," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-26, December.
    7. Ghimire, Ramesh & Green, Gary T. & Paudel, Krishna P. & Poudyal, Neelam C. & Cordell, H. Ken, 2017. "Visitors' Preferences for Freshwater Amenity Characteristics: Implications from the U.S. Household Survey," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 42(1), pages 1-24, January.
    8. Marie, Dana & Swallow, Stephen K. & Liu, Pengfei & Johnston, Robert J., 2013. "Do Exurban Communities Want More Development?," Working Paper series 170006, University of Connecticut, Charles J. Zwick Center for Food and Resource Policy.
    9. Dumortier, Jerome & Siddiki, Saba & Carley, Sanya & Cisney, Joshua & Krause, Rachel M. & Lane, Bradley W. & Rupp, John A. & Graham, John D., 2015. "Effects of providing total cost of ownership information on consumers’ intent to purchase a hybrid or plug-in electric vehicle," Transportation Research Part A: Policy and Practice, Elsevier, vol. 72(C), pages 71-86.
    10. Kassu Wamisho Hossiso & Aaron Laporte & David Ripplinger, 2017. "The Effects of Contract Mechanism Design and Risk Preferences on Biomass Supply for Ethanol Production," Agribusiness, John Wiley & Sons, Ltd., vol. 33(3), pages 339-357, June.
    11. Wamisho, Kassu & De Laporte, Aaron & Ripplinger, David, 2015. "Biomass Contracts for Ethanol Production: The Role of Farmer’s Risk Preferences," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205703, Agricultural and Applied Economics Association.
    12. Gopindra Sivakumar Nair & Sebastian Astroza & Chandra R. Bhat & Sara Khoeini & Ram M. Pendyala, 2018. "An application of a rank ordered probit modeling approach to understanding level of interest in autonomous vehicles," Transportation, Springer, vol. 45(6), pages 1623-1637, November.
    13. Yan, Jin & Yoo, Hong Il, 2019. "Semiparametric estimation of the random utility model with rank-ordered choice data," Journal of Econometrics, Elsevier, vol. 211(2), pages 414-438.
    14. Marino, Davide & Mastronardi, Luigi & Franco, Silvio & De Gregorio, Daniela & Cicatiello, Clara & Pancino, Barbara, 2013. "Farmers’ Markets, Producer and Consumer Behaviour: Analysis of Interactions with the Metrics of Sustainability," 2013 International European Forum, February 18-22, 2013, Innsbruck-Igls, Austria 164751, International European Forum on System Dynamics and Innovation in Food Networks.
    15. Yoo, Hong Il & Doiron, Denise, 2013. "The use of alternative preference elicitation methods in complex discrete choice experiments," Journal of Health Economics, Elsevier, vol. 32(6), pages 1166-1179.
    16. Dumortier, Jerome & Siddiki, Saba & Carley, Sanya & Cisney, Joshua & Krause, Rachel & Lane, Bradley & Rupp, John & Graham, John, 2015. "Effects of Life Cycle Cost Information Disclosure on the Purchase Decision of Hybrid and Plug-In Vehicles," IU SPEA AgEcon Papers 198643, Indiana University, IU School of Public and Environmental Affairs.
    17. Wei Tian & Xiangyun Zhou & Yixiang Tian & Wei Meng, 2020. "Short-term competition and long-term convergence between domestic and global rating agencies: Evidence from China," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-15, May.
    18. Anoek Castelein & Dennis Fok & Richard Paap, 2020. "A multinomial and rank-ordered logit model with inter- and intra-individual heteroscedasticity," Tinbergen Institute Discussion Papers 20-069/III, Tinbergen Institute.
    19. Strazzera, Elisabetta & Statzu, Vania, 2017. "Fostering photovoltaic technologies in Mediterranean cities: Consumers’ demand and social acceptance," Renewable Energy, Elsevier, vol. 102(PB), pages 361-371.
    20. Paolo Delle Site & Karim Kilani & Valerio Gatta & Edoardo Marcucci & André de Palma, 2018. "Estimation of Logit and Probit models using best, worst and best-worst choices," Working Papers hal-01953581, HAL.
    21. Marco A. Palma, 2017. "Improving the prediction of ranking data," Empirical Economics, Springer, vol. 53(4), pages 1681-1710, December.
    22. Rajesh Paleti & Peter Vovsha & Gaurav Vyas & Rebekah Anderson & Gregory Giaimo, 2017. "Activity sequencing, location, and formation of individual non-mandatory tours: application to the activity-based models for Columbus, Cincinnati, and Cleveland, OH," Transportation, Springer, vol. 44(3), pages 615-640, May.
    23. Touza, Julia & Pérez-Alonso, Alicia & Chas-Amil, María L. & Dehnen-Schmutz, Katharina, 2014. "Explaining the rank order of invasive plants by stakeholder groups," Ecological Economics, Elsevier, vol. 105(C), pages 330-341.
    24. Camilo Andres Garzon & Maria Catalina Rey & Paula Juliana Sarmiento & Juan Camilo Cardenas, 2016. "Fisheries, fish pollution and biodiversity: choice experiments with fishermen, traders and consumers," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 33(3), pages 333-353, December.
    25. Ishant Sharma & Sabyasachee Mishra, 2023. "Ranking preferences towards adopting autonomous vehicles based on peer inputs and advertisements," Transportation, Springer, vol. 50(6), pages 2139-2192, December.
    26. Bairagi, Subir K. & Mohanty, Samarendu & Ynion, Jhoanne & Demont, Matty, 2017. "Determinants of Consumer Preferences for Rice Attributes: Evidence from South and Southeast Asia," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258384, Agricultural and Applied Economics Association.
    27. Ben Aoki-Sherwood & Catherine Bregou & David Liben-Nowell & Kiran Tomlinson & Thomas Zeng, 2024. "Bounding Consideration Probabilities in Consider-Then-Choose Ranking Models," Papers 2401.11016, arXiv.org.
    28. Arie Beresteanu, 2016. "Efficeincy Gains in Rank-ordered Multinomial Logit Models," Working Paper 5878, Department of Economics, University of Pittsburgh.

  11. van Nierop, J.E.M. & Fok, D. & Franses, Ph.H.B.F., 2006. "Interaction Between Shelf Layout and Marketing Effectiveness and Its Impact On Optimizing Shelf Arrangements," ERIM Report Series Research in Management ERS-2006-013-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

    Cited by:

    1. Roose, Gudrun & Vermeir, Iris, 2023. "Putting spatial product presentation cues on the map: Review and research directions," Journal of Business Research, Elsevier, vol. 155(PA).
    2. van Bruggen, G.H. & Spann, M. & Lilien, G.L. & Skiera, B., 2006. "Institutional Forecasting: The Performance of Thin Virtual Stock Markets," ERIM Report Series Research in Management ERS-2006-028-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    3. Heydari Majeed & Yousefli Amir, 2017. "A new optimization model for market basket analysis with allocation considerations: A genetic algorithm solution approach," Management & Marketing, Sciendo, vol. 12(1), pages 1-11, March.
    4. Hense, Jonas & Hübner, Alexander, 2022. "Assortment optimization in omni-channel retailing," European Journal of Operational Research, Elsevier, vol. 301(1), pages 124-140.
    5. Kateryna Czerniachowska, 2022. "A genetic algorithm for the retail shelf space allocation problem with virtual segments," OPSEARCH, Springer;Operational Research Society of India, vol. 59(1), pages 364-412, March.
    6. Erica Herpen & Erjen Nierop & Laurens Sloot, 2012. "The relationship between in-store marketing and observed sales for organic versus fair trade products," Marketing Letters, Springer, vol. 23(1), pages 293-308, March.
    7. Péter Boros & Orsolya Fehér & Zoltán Lakner & Sadegh Niroomand & Béla Vizvári, 2016. "Modeling supermarket re-layout from the owner’s perspective," Annals of Operations Research, Springer, vol. 238(1), pages 27-40, March.
    8. Mantrala, Murali K. & Levy, Michael & Kahn, Barbara E. & Fox, Edward J. & Gaidarev, Peter & Dankworth, Bill & Shah, Denish, 2009. "Why is Assortment Planning so Difficult for Retailers? A Framework and Research Agenda," Journal of Retailing, Elsevier, vol. 85(1), pages 71-83.
    9. van Nierop, J.E.M. & Leeflang, P.S.H. & Teerling, M.L. & Huizingh, K.R.E., 2011. "The impact of the introduction and use of an informational website on offline customer buying behavior," International Journal of Research in Marketing, Elsevier, vol. 28(2), pages 155-165.
    10. Gabriele Pizzi & Gian Luca Marzocchi, 2020. "Consumer-defined assortments: application of card-sorting to category management," Italian Journal of Marketing, Springer, vol. 2020(1), pages 67-84, March.
    11. Mou, Shandong & Robb, David J. & DeHoratius, Nicole, 2018. "Retail store operations: Literature review and research directions," European Journal of Operational Research, Elsevier, vol. 265(2), pages 399-422.
    12. Pizzi, Gabriele & Scarpi, Daniele, 2016. "The effect of shelf layout on satisfaction and perceived assortment size: An empirical assessment," Journal of Retailing and Consumer Services, Elsevier, vol. 28(C), pages 67-77.
    13. Hübner, Alexander & Schaal, Kai, 2017. "A shelf-space optimization model when demand is stochastic and space-elastic," Omega, Elsevier, vol. 68(C), pages 139-154.
    14. Meyer, Jan-Hinrich & González, Eva M. & Lopez-Lomelí, Miguel A., 2022. "Better support for supportive jobs. How to improve brand performance through better compensation and training for in-store merchandisers," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    15. Hunneman, Auke & Bijmolt, Tammo H.A. & Elhorst, J. Paul, 2023. "Evaluating store location and department composition based on spatial heterogeneity in sales potential," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    16. Gecili, Hakan & Parikh, Pratik J., 2022. "Joint shelf design and shelf space allocation problem for retailers," Omega, Elsevier, vol. 111(C).
    17. Bianchi-Aguiar, Teresa & Hübner, Alexander & Carravilla, Maria Antónia & Oliveira, José Fernando, 2021. "Retail shelf space planning problems: A comprehensive review and classification framework," European Journal of Operational Research, Elsevier, vol. 289(1), pages 1-16.
    18. Zhao, Ju & Zhou, Yong-Wu & Wahab, M.I.M., 2016. "Joint optimization models for shelf display and inventory control considering the impact of spatial relationship on demand," European Journal of Operational Research, Elsevier, vol. 255(3), pages 797-808.
    19. Péter Boros & Orsolya Fehér & Zoltán Lakner & Sadegh Niroomand & Béla Vizvári, 2016. "Modeling supermarket re-layout from the owner’s perspective," Annals of Operations Research, Springer, vol. 238(1), pages 27-40, March.
    20. Sergio Meza & K. Sudhir, 2010. "Do private labels increase retailer bargaining power?," Quantitative Marketing and Economics (QME), Springer, vol. 8(3), pages 333-363, September.
    21. Schäfer, Fabian & Hense, Jonas & Hübner, Alexander, 2023. "An analytical assessment of demand effects in omni-channel assortment planning," Omega, Elsevier, vol. 115(C).
    22. van Everdingen, Yvonne M. & Sloot, Laurens M. & van Nierop, Erjen & Verhoef, Peter C., 2011. "Towards a Further Understanding of the Antecedents of Retailer New Product Adoption," Journal of Retailing, Elsevier, vol. 87(4), pages 579-597.
    23. Bauer, Johannes C. & Kotouc, Alexander J. & Rudolph, Thomas, 2012. "What constitutes a “good assortment†? A scale for measuring consumers' perceptions of an assortment offered in a grocery category," Journal of Retailing and Consumer Services, Elsevier, vol. 19(1), pages 11-26.
    24. Adam, Abdulfatah & Jensen, Jørgen D. & Sommer, Iben & Hansen, Gitte L., 2017. "Does shelf space management intervention have an effect on calorie turnover at supermarkets?," Journal of Retailing and Consumer Services, Elsevier, vol. 34(C), pages 311-318.
    25. Torik Holmes & Josi Fernandes & Teea Palo, 2021. "‘Spatio-market practices’: conceptualising the always spatial dimensions of market making practices," AMS Review, Springer;Academy of Marketing Science, vol. 11(3), pages 316-335, December.
    26. Grewal, Dhruv & Levy, Michael & Kumar, V., 2009. "Customer Experience Management in Retailing: An Organizing Framework," Journal of Retailing, Elsevier, vol. 85(1), pages 1-14.
    27. Yu Tian & Sebastian Lautz & Alisdiar O. G. Wallis & Renaud Lambiotte, 2021. "Extracting Complements and Substitutes from Sales Data: A Network Perspective," Papers 2103.02042, arXiv.org, revised Aug 2021.
    28. Aaron Staples & Bridget K. Behe & Patricia Huddleston & Trey Malone, 2022. "What you see is what you get, and what you don't goes unsold: Choice overload and purchasing heuristics in a horticulture lab experiment," Agribusiness, John Wiley & Sons, Ltd., vol. 38(3), pages 620-635, July.
    29. Caglar Gencosman, Burcu & Begen, Mehmet A., 2022. "Exact optimization and decomposition approaches for shelf space allocation," European Journal of Operational Research, Elsevier, vol. 299(2), pages 432-447.
    30. Robert P. Rooderkerk & Harald J. van Heerde & Tammo H. A. Bijmolt, 2013. "Optimizing Retail Assortments," Marketing Science, INFORMS, vol. 32(5), pages 699-715, September.

  12. H.P. Boswijk & D. Fok & P.-H. Franses, 2006. "A New Multivariate Product Growth Model," Tinbergen Institute Discussion Papers 06-027/4, Tinbergen Institute.

    Cited by:

    1. Torben Klarl, 2014. "Knowledge diffusion and knowledge transfer revisited: two sides of the medal," Journal of Evolutionary Economics, Springer, vol. 24(4), pages 737-760, September.

  13. Fok, D. & Franses, Ph.H.B.F. & Paap, R., 2005. "Performance of Seasonal Adjustment Procedures: Simulation and Empirical Results," Econometric Institute Research Papers EI 2005-30, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Beria, Paolo & Laurino, Antonio, 2016. "Determinants of daily fluctuations in air passenger volumes. The effect of events and holidays on Milan Malpensa airport," Journal of Air Transport Management, Elsevier, vol. 53(C), pages 73-84.
    2. Bhattacharya, Rina, 2014. "Inflation dynamics and monetary policy transmission in Vietnam and emerging Asia," Journal of Asian Economics, Elsevier, vol. 34(C), pages 16-26.
    3. Barend Abeln & Jan P.A.M. Jacobs, 2015. "Seasonal adjustment with and without revisions: A comparison of X-13ARIMA-SEATS and CAMPLET," CAMA Working Papers 2015-25, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    4. Christian Gayer & Julien Genet, 2006. "Using factor models to construct composite indicators from BCS data - a comparison with European Commission confidence indicators," European Economy - Economic Papers 2008 - 2015 240, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    5. Inna S. Lola, 2017. "The Statistical Measurement of Business Conditions for Small Entrepreneurs," HSE Working papers WP BRP 71/STI/2017, National Research University Higher School of Economics.
    6. Luciana Crosilla, 2006. "The seasonality of ISAE business and consumer surveys: methodological aspects and empirical evidence," ISAE Working Papers 68, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).

  14. Fok, D. & Franses, Ph.H.B.F., 2005. "Seasonality on non-linear price effects in scanner-data based market-response models," Econometric Institute Research Papers EI 2005-45, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Yuri Peers & Dennis Fok & Philip Hans Franses, 2012. "Modeling Seasonality in New Product Diffusion," Marketing Science, INFORMS, vol. 31(2), pages 351-364, March.
    2. Qi Feng & Sirong Luo & Dan Zhang, 2014. "Dynamic Inventory–Pricing Control Under Backorder: Demand Estimation and Policy Optimization," Manufacturing & Service Operations Management, INFORMS, vol. 16(1), pages 149-160, February.
    3. Guidolin, Mariangela & Guseo, Renato, 2014. "Modelling seasonality in innovation diffusion," Technological Forecasting and Social Change, Elsevier, vol. 86(C), pages 33-40.
    4. Haupt, Harry & Kagerer, Kathrin, 2012. "Beyond mean estimates of price and promotional effects in scanner-panel sales–response regression," Journal of Retailing and Consumer Services, Elsevier, vol. 19(5), pages 470-483.
    5. Rishab Guha & Serena Ng, 2019. "A Machine Learning Analysis of Seasonal and Cyclical Sales in Weekly Scanner Data," NBER Chapters, in: Big Data for Twenty-First-Century Economic Statistics, pages 403-436, National Bureau of Economic Research, Inc.
    6. Venera Timiryanova & Irina Lakman & Vadim Prudnikov & Dina Krasnoselskaya, 2022. "Spatial Dependence of Average Prices for Product Categories and Its Change over Time: Evidence from Daily Data," Forecasting, MDPI, vol. 5(1), pages 1-25, December.
    7. Wolters, Jannik & Huchzermeier, Arnd, 2021. "Joint In-Season and Out-of-Season Promotion Demand Forecasting in a Retail Environment," Journal of Retailing, Elsevier, vol. 97(4), pages 726-745.

  15. Fok, D. & Franses, Ph.H.B.F., 2005. "Modeling the diffusion of scientific publications," Econometric Institute Research Papers EI 2005-48, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Erjen Van Nierop, 2009. "Why do statistics journals have low impact factors?," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 63(1), pages 52-62, February.
    2. Franses, Ph.H.B.F., 2009. "Forecasting Sales," Econometric Institute Research Papers EI 2009-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Lutz Bornmann & Adam Y. Ye & Fred Y. Ye, 2018. "Identifying “hot papers” and papers with “delayed recognition” in large-scale datasets by using dynamically normalized citation impact scores," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 655-674, August.
    4. Michael Schymura & Andreas Löschel, 2014. "Incidence and extent of co-authorship in environmental and resource economics: evidence from the Journal of Environmental Economics and Management," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(3), pages 631-661, June.
    5. Richard S. J. Tol, 2011. "Credit where credit’s due: accounting for co-authorship in citation counts," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 291-299, October.
    6. Bornmann, Lutz & Leydesdorff, Loet, 2017. "Skewness of citation impact data and covariates of citation distributions: A large-scale empirical analysis based on Web of Science data," Journal of Informetrics, Elsevier, vol. 11(1), pages 164-175.
    7. Bornmann, Lutz & Tekles, Alexander, 2021. "Convergent validity of several indicators measuring disruptiveness with milestone assignments to physics papers by experts," Journal of Informetrics, Elsevier, vol. 15(3).
    8. David I. Stern, 2017. "Comment on Bornmann (2017): confidence intervals for journal impact factors," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1811-1813, December.
    9. Franses, Ph.H.B.F. & van Dijk, D.J.C., 2009. "Cointegration in a historical perspective," Econometric Institute Research Papers EI 2009-08, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    10. Giovanni Modanese, 2023. "The Network Bass Model with Behavioral Compartments," Stats, MDPI, vol. 6(2), pages 1-13, March.
    11. García-Suaza, Andrés & Otero, Jesus & Winkelmann, Rainer, 2018. "Early Career Research Production in Economics: Does Mentoring Matter?," IZA Discussion Papers 11976, Institute of Labor Economics (IZA).
    12. Howlett, Peter, 2008. "Travelling in the social science community: assessing the impact of the Indian Green Revolution across disciplines," Economic History Working Papers 22513, London School of Economics and Political Science, Department of Economic History.
    13. Jinyoung Kim & Kanghyock Koh, 2014. "Incentives for Journal Editors," Canadian Journal of Economics, Canadian Economics Association, vol. 47(1), pages 348-371, February.
    14. Bornmann, Lutz, 2019. "Does the normalized citation impact of universities profit from certain properties of their published documents – such as the number of authors and the impact factor of the publishing journals? A mult," Journal of Informetrics, Elsevier, vol. 13(1), pages 170-184.
    15. 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.
    16. Zeki Simsek & Ciaran Heavey & Justin J. P. Jansen, 2013. "Journal Impact as a Diffusion Process: A Conceptualization and the Case of the Journal of Management Studies," Journal of Management Studies, Wiley Blackwell, vol. 50(8), pages 1374-1407, December.
    17. 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.
    18. Yi-Tui Chen & Fu-Chiang Yang & Shih-Heng Yu, 2017. "The Diffusion Effect of MSW Recycling," Sustainability, MDPI, vol. 10(1), pages 1-12, December.
    19. Gelper, Sarah & Stremersch, Stefan, 2014. "Variable selection in international diffusion models," International Journal of Research in Marketing, Elsevier, vol. 31(4), pages 356-367.
    20. R. G. Raj & A. N. Zainab, 2012. "Relative measure index: a metric to measure the quality of journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(2), pages 305-317, November.
    21. Teodora Diana Corsatea, 2010. "Measuring science: Spatial investigation of academic opportunities in Belgium," Papers in Regional Science, Wiley Blackwell, vol. 89(2), pages 373-387, June.

  16. Fok, D. & van Dijk, D.J.C. & Franses, Ph.H.B.F., 2004. "Forecasting aggregates using panels of nonlinear time series," Econometric Institute Research Papers EI 2004-44, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Oliveira, André Barbosa & Valls Pereira, Pedro Luiz, 2018. "Asset Allocation with Markovian Regime Switching: Efficient Frontier and Tangent Portfolio with Regime Switching," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 38(1), May.
    2. Galvao Jr., Antonio F., 2011. "Quantile regression for dynamic panel data with fixed effects," Journal of Econometrics, Elsevier, vol. 164(1), pages 142-157, September.
    3. Badi H. Baltagi, 2008. "Forecasting with panel data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(2), pages 153-173.
    4. Chang, Tsangyao & Chiang, Gengnan, 2012. "Transitional Behavior of Government Debt Ratio on Growth: The Case of OECD Countries," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 24-37, June.
    5. Baltagi, Badi H., 2013. "Panel Data Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 995-1024, Elsevier.
    6. De Gooijer, Jan G. & Hyndman, Rob J., 2006. "25 years of time series forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 443-473.
    7. Nina Vujanovic & Bruno Casella & Richard Bolwijn, . "Forecasting global FDI: a panel data approach," UNCTAD Transnational Corporations Journal, United Nations Conference on Trade and Development.
    8. Allenby, Greg M., 2017. "Structural forecasts for marketing data," International Journal of Forecasting, Elsevier, vol. 33(2), pages 433-441.
    9. Kausik Chaudhuri & Saumitra N. Bhaduri, 2019. "Inflation Forecast: Just use the Disaggregate or Combine it with the Aggregate," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(2), pages 331-343, June.
    10. Cai, Charlie X. & Kyaw, Khine & Zhang, Qi, 2012. "Stock index return forecasting: The information of the constituents," Economics Letters, Elsevier, vol. 116(1), pages 72-74.
    11. Oliveira, André Barbosa & Pereira, Pedro L. Valls, 2018. "Uncertainty times for portfolio selection at financial market," Textos para discussão 473, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).

  17. Fok, D. & Horváth, C. & Paap, R. & Franses, Ph.H.B.F., 2004. "A hierarchical Bayes error correction model to explain dynamic effects," Econometric Institute Research Papers EI 2004-27, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Frison, Steffi & Dekimpe, Marnik G. & Croux, Christophe & De Maeyer, Peter, 2014. "Billboard and cinema advertising: Missed opportunity or spoiled arms?," International Journal of Research in Marketing, Elsevier, vol. 31(4), pages 425-433.
    2. van Heerde, H.J. & Dekimpe, M.G. & Putsis, W.P., 2004. "Marketing Models and the Lucas Critique," ERIM Report Series Research in Management ERS-2004-080-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    3. van Everdingen, Y.M. & Fok, D. & Stremersch, S., 2008. "Modeling Global Spill-Over of New Product Takeoff," ERIM Report Series Research in Management ERS-2008-067-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    4. Kiygi Calli, M. & Weverbergh, M. & Franses, Ph.H.B.F., 2008. "Modeling the Effectiveness of Hourly Direct-Response Radio Commercials," ERIM Report Series Research in Management ERS-2008-019-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    5. Koen Pauwels & Imran Currim & Marnik Dekimpe & Dominique Hanssens & Natalie Mizik & Eric Ghysels & Prasad Naik, 2004. "Modeling Marketing Dynamics by Time Series Econometrics," Marketing Letters, Springer, vol. 15(4), pages 167-183, December.
    6. Vroegrijk, Mark & Gijsbrechts, Els & Campo, Katia, 2016. "Battling for the Household's Category Buck: Can Economy Private Labels Defend Supermarkets Against the Hard-Discounter Threat?," Journal of Retailing, Elsevier, vol. 92(3), pages 300-318.
    7. van Heerde, H.J. & Helsen, K. & Dekimpe, M.G., 2005. "Managing Product-Harm Crises," ERIM Report Series Research in Management ERS-2005-044-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    8. Dawes, John G., 2012. "Brand-Pack Size Cannibalization Arising from Temporary Price Promotions," Journal of Retailing, Elsevier, vol. 88(3), pages 343-355.

  18. P.H. Franses & D. Fok & D. van Dijk, 2004. "A Multi-Level Panel Smooth Transition Autoregression for US Sectoral Production," Econometric Society 2004 Australasian Meetings 267, Econometric Society.

    Cited by:

    1. Po-Chin Wu & Chung-Chih Lee, 2018. "The non-linear impact of monetary policy on international reserves: macroeconomic variables nexus," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 45(1), pages 165-185, February.
    2. Xiaoping He & Xin Yao, 2017. "Foreign Direct Investments and the Environmental Kuznets Curve: New Evidence from Chinese Provinces," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 53(1), pages 12-25, January.
    3. Oleg Korenok & Bruce Mizrach, 2004. "The Microeconomics of Macroeconomic Asymmetries: Sectoral Driving Forces and Firm Level Characteristics," Computing in Economics and Finance 2004 266, Society for Computational Economics.

  19. Fok, D. & Paap, R., 2003. "Modeling category-level purchase timing with brand-level marketing variables," Econometric Institute Research Papers 1715, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Fok, D. & Paap, R. & Franses, Ph.H.B.F., 2002. "Modeling dynamic effects of promotion on interpurchase times," Econometric Institute Research Papers EI 2002-37, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. 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.

  20. Fok, D. & Paap, R. & Franses, Ph.H.B.F., 2003. "Modeling Dynamic Effects of the Marketing Mix on Market Shares," ERIM Report Series Research in Management ERS-2003-044-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

    Cited by:

    1. Frison, Steffi & Dekimpe, Marnik G. & Croux, Christophe & De Maeyer, Peter, 2014. "Billboard and cinema advertising: Missed opportunity or spoiled arms?," International Journal of Research in Marketing, Elsevier, vol. 31(4), pages 425-433.
    2. Ma, Shaohui & Fildes, Robert, 2017. "A retail store SKU promotions optimization model for category multi-period profit maximization," European Journal of Operational Research, Elsevier, vol. 260(2), pages 680-692.
    3. Marusia Ivanova, 2007. "Genesis and Evolution of Market Share Predictive Models," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 2, pages 117-148.

  21. Fok, D. & Paap, R. & Franses, Ph.H.B.F., 2002. "Modeling dynamic effects of promotion on interpurchase times," Econometric Institute Research Papers EI 2002-37, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Epstein, Leonardo D. & Inostroza-Quezada, Ignacio E. & Goodstein, Ronald C. & Choi, S. Chan, 2021. "Dynamic effects of store promotions on purchase conversion: Expanding technology applications with innovative analytics," Journal of Business Research, Elsevier, vol. 128(C), pages 279-289.
    2. Igari, Ryosuke & Hoshino, Takahiro, 2018. "A Bayesian data combination approach for repeated durations under unobserved missing indicators: Application to interpurchase-timing in marketing," Computational Statistics & Data Analysis, Elsevier, vol. 126(C), pages 150-166.
    3. Ching, Andrew & Erdem, Tulin & Keane, Michael, 2007. "The Price Consideration Model of Brand Choice," MPRA Paper 4686, University Library of Munich, Germany.

  22. van Nierop, J.E.M. & Fok, D. & Franses, Ph.H.B.F., 2002. "Sales Models For Many Items Using Attribute Data," ERIM Report Series Research in Management ERS-2002-65-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

    Cited by:

    1. Franses, Ph.H.B.F., 2004. "Forecasting in marketing," Econometric Institute Research Papers EI 2004-40, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Paul H. Jensen & Elizabeth Webster, 2008. "Labelling Characteristics And Demand For Retail Grocery Products In Australia," Australian Economic Papers, Wiley Blackwell, vol. 47(2), pages 129-140, June.

  23. Fok, D. & Franses, Ph.H.B.F. & Paap, R., 2001. "Econometric Analysis of the Market Share Attraction Model," ERIM Report Series Research in Management ERS-2001-25-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

    Cited by:

    1. Datta, Hannes & Ailawadi, Kusum L. & van Heerde, H.J., 2016. "How well does consumer-based brand equity align with sales-based brand equity and marketing mix response?," Other publications TiSEM 341e600f-af04-42e7-9668-a, Tilburg University, School of Economics and Management.
    2. Noordegraaf-Eelens, L.H.J. & Franses, Ph.H.B.F., 2014. "Do loss profiles on the mortgage market resonate with changes in macro economic prospects, business cycle movements or policy measures?," Econometric Institute Research Papers EI 2014-08, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  24. Fok, D. & Franses, Ph.H.B.F., 2000. "Forecasting Market Shares from Models for Sales," ERIM Report Series Research in Management ERS-2000-03-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

    Cited by:

    1. Kanellos, Nikolaos & Katsianis, Dimitrios & Varoutas, Dimitrios, 2022. "Forecasting a telecommunications provider's market share," 31st European Regional ITS Conference, Gothenburg 2022: Reining in Digital Platforms? Challenging monopolies, promoting competition and developing regulatory regimes 265639, International Telecommunications Society (ITS).
    2. Fok, D. & Paap, R. & Franses, Ph.H.B.F., 2003. "Modeling Dynamic Effects of the Marketing Mix on Market Shares," ERIM Report Series Research in Management ERS-2003-044-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    3. Franses, Ph.H.B.F., 2004. "Forecasting in marketing," Econometric Institute Research Papers EI 2004-40, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Sanders, Nada R. & Manrodt, Karl B., 2003. "The efficacy of using judgmental versus quantitative forecasting methods in practice," Omega, Elsevier, vol. 31(6), pages 511-522, December.
    5. Alina Popa & Shahrazad Hadad & Robert Paiusan & Marian Nastase, 2018. "A New Method for Agricultural Market Share Assessment," Sustainability, MDPI, vol. 11(1), pages 1-13, December.
    6. Marusia Ivanova, 2007. "Genesis and Evolution of Market Share Predictive Models," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 2, pages 117-148.
    7. Zuidwijk, R.A. & Kroon, L.G., 2000. "Integer Constraints for Train Series Connections," ERIM Report Series Research in Management ERS-2000-05-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

  25. Fok, D. & Franses, Ph.H.B.F. & Cramer, J.S., 1999. "Ordered logit analysis for selectively sampled data," Econometric Institute Research Papers EI 9933/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Fidrmuc, J.P. & Roosenboom, P.G.J. & van Dijk, D.J.C., 2007. "When Do Managers Seek Private Equity Backing in Public-to-Private Transactions?," ERIM Report Series Research in Management ERS-2007-028-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    2. Jacek Kotlowski, 2005. "Reaction functions of the Polish central bankers. A logit approach," Working Papers 18, Department of Applied Econometrics, Warsaw School of Economics.

  26. Fok, D. & Franses, Ph.H.B.F., 1999. "Impulse-response analysis of the market share attraction model," Econometric Institute Research Papers EI 9955-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

Articles

  1. Matilda Dorotic & Dennis Fok & Peter C. Verhoef & Tammo H. A. Bijmolt, 2021. "Synergistic and cannibalization effects in a partnership loyalty program," Journal of the Academy of Marketing Science, Springer, vol. 49(5), pages 1021-1042, September.

    Cited by:

    1. Sonja Fourie & Michael Goldman & Michael McCall, 2023. "Designing for loyalty programme effectiveness in the financial services industry," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 28(3), pages 502-525, September.
    2. Stourm, Valeria & Bradlow, Eric T., 2023. "Cross-reward effects in a coalition loyalty program: The impact of a point currency devaluation," International Journal of Research in Marketing, Elsevier, vol. 40(2), pages 276-293.

  2. Aiste Ruseckaite & Dennis Fok & Peter Goos, 2020. "Flexible Mixture-Amount Models Using Multivariate Gaussian Processes," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 257-271, April.

    Cited by:

    1. S. Van Cranenburgh & S. Wang & A. Vij & F. Pereira & J. Walker, 2021. "Choice modelling in the age of machine learning -- discussion paper," Papers 2101.11948, arXiv.org, revised Nov 2021.

  3. Dennis Fok & André Stel & Andrew Burke & Roy Thurik, 2019. "How entry crowds and grows markets: the gradual disaster management view of market dynamics in the retail industry," Annals of Operations Research, Springer, vol. 283(1), pages 1111-1138, December.

    Cited by:

    1. Elena Cefis & Cristina Bettinelli & Alex Coad & Orietta Marsili, 2022. "Understanding firm exit: a systematic literature review," Small Business Economics, Springer, vol. 59(2), pages 423-446, August.
    2. Rameshwar Dubey & Angappa Gunasekaran & Thanos Papadopoulos, 2019. "Disaster relief operations: past, present and future," Annals of Operations Research, Springer, vol. 283(1), pages 1-8, December.

  4. Koen Bel & Dennis Fok & Richard Paap, 2018. "Parameter estimation in multivariate logit models with many binary choices," Econometric Reviews, Taylor & Francis Journals, vol. 37(5), pages 534-550, May.
    See citations under working paper version above.
  5. Aiste Ruseckaite & Peter Goos & Dennis Fok, 2017. "Bayesian D-optimal choice designs for mixtures," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(2), pages 363-386, February.
    See citations under working paper version above.
  6. Bruno J.D. Jacobs & Bas Donkers & Dennis Fok, 2016. "Model-Based Purchase Predictions for Large Assortments," Marketing Science, INFORMS, vol. 35(3), pages 389-404, May.
    See citations under working paper version above.
  7. Dennis Fok & Richard Paap & Philip Hans Franses, 2014. "Incorporating Responsiveness to Marketing Efforts in Brand Choice Modeling," Econometrics, MDPI, vol. 2(1), pages 1-25, February.
    See citations under working paper version above.
  8. Dorotic, Matilda & Verhoef, Peter C. & Fok, Dennis & Bijmolt, Tammo H.A., 2014. "Reward redemption effects in a loyalty program when customers choose how much and when to redeem," International Journal of Research in Marketing, Elsevier, vol. 31(4), pages 339-355.

    Cited by:

    1. Chen, Yanyan & Mandler, Timo & Meyer-Waarden, Lars, 2021. "Three decades of research on loyalty programs: A literature review and future research agenda," Journal of Business Research, Elsevier, vol. 124(C), pages 179-197.
    2. Gabel, Sebastian & Guhl, Daniel, 2022. "Comparing the effectiveness of rewards and individually targeted coupons in loyalty programs," Journal of Retailing, Elsevier, vol. 98(3), pages 395-411.
    3. Bombaij, Nick, 2021. "Effectiveness of loyalty programs," Other publications TiSEM 095c506d-5b5c-4ea3-9b41-a, Tilburg University, School of Economics and Management.
    4. Matilda Dorotic & Dennis Fok & Peter C. Verhoef & Tammo H. A. Bijmolt, 2021. "Synergistic and cannibalization effects in a partnership loyalty program," Journal of the Academy of Marketing Science, Springer, vol. 49(5), pages 1021-1042, September.
    5. Cheng, Fei & Chen, Tong & Chen, Qiao, 2020. "Rewards based on public loyalty program promote cooperation in public goods game," Applied Mathematics and Computation, Elsevier, vol. 378(C).
    6. Minnema, Alec & Bijmolt, Tammo H.A. & Non, Mariёlle C., 2017. "The impact of instant reward programs and bonus premiums on consumer purchase behavior," International Journal of Research in Marketing, Elsevier, vol. 34(1), pages 194-211.
    7. Bombaij, Nick J.F. & Dekimpe, Marnik G., 2020. "When do loyalty programs work? The moderating role of design, retailer-strategy, and country characteristics," International Journal of Research in Marketing, Elsevier, vol. 37(1), pages 175-195.
    8. Zhao Zhongqiu & Li Xiaofei & Ma Baolong & Li Jinlin, 2016. "Application of Dynamic Programming Method to Marketing Decisions Based on Customer Database," Journal of Systems Science and Information, De Gruyter, vol. 4(2), pages 169-176, April.
    9. Afonso Vieira, Valter & Agnihotri, Raj & de Almeida, Marcos Inácio Severo & Lopes, Evandro Luiz, 2022. "How cashback strategies yield financial benefits for retailers: The mediating role of consumers’ program loyalty," Journal of Business Research, Elsevier, vol. 141(C), pages 200-212.
    10. Blanca I. Hernández-Ortega & Michael A. Stanko & Rishika Rishika & Francisco-Jose Molina-Castillo & José Franco, 2022. "Brand-generated social media content and its differential impact on loyalty program members," Journal of the Academy of Marketing Science, Springer, vol. 50(5), pages 1071-1090, September.
    11. Ramon Caminal, 2020. "Time-limited Loyalty Rewards," Working Papers 1196, Barcelona School of Economics.
    12. Li, Chen & Swaminathan, Srinivasan & Kim, Junhee, 2021. "The role of marketing channels in consumers’ promotional point redemption decisions," Journal of Business Research, Elsevier, vol. 125(C), pages 314-323.
    13. Nesset, Erik & Bergem, Ola & Nervik, Bjørn & Schiøll Sørlie, Even & Helgesen, Øyvind, 2021. "Building chain loyalty in grocery retailing by means of loyalty programs – A study of ‘the Norwegian case’," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    14. Steinhoff, Lena & Zondag, Marcellis M., 2021. "Loyalty programs as travel companions: Complementary service features across customer journey stages," Journal of Business Research, Elsevier, vol. 129(C), pages 70-82.
    15. Jaeho Jeong & Dongeon Kim & Xinzhe Li & Qinglong Li & Ilyoung Choi & Jaekyeong Kim, 2022. "An Empirical Investigation of Personalized Recommendation and Reward Effect on Customer Behavior: A Stimulus–Organism–Response (SOR) Model Perspective," Sustainability, MDPI, vol. 14(22), pages 1-19, November.
    16. Suhaily M. Ramly & Nor A. Omar, 2015. "The relative contribution of loyalty programs and store attributes to store engagement and equity," Journal of Administrative and Business Studies, Professor Dr. Usman Raja, vol. 1(1), pages 42-52.
    17. Danaher, Peter J. & Sajtos, Laszlo & Danaher, Tracey S., 2020. "Tactical use of rewards to enhance loyalty program effectiveness," International Journal of Research in Marketing, Elsevier, vol. 37(3), pages 505-520.
    18. Nishio, Kazuki & Hoshino, Takahiro, 2022. "Joint modeling of effects of customer tier program on customer purchase duration and purchase amount," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    19. So Yeon Chun & Dan A. Iancu & Nikolaos Trichakis, 2020. "Loyalty Program Liabilities and Point Values," Manufacturing & Service Operations Management, INFORMS, vol. 22(2), pages 257-272, March.
    20. Bombaij, Nick J.F. & Gelper, Sarah & Dekimpe, Marnik G., 2022. "Designing successful temporary loyalty programs: An exploratory study on retailer and country differences," International Journal of Research in Marketing, Elsevier, vol. 39(4), pages 1275-1295.
    21. Alina Nastasoiu & Neil T. Bendle & Charan K. Bagga & Mark Vandenbosch & Salvador Navarro, 2021. "Separating customer heterogeneity, points pressure and rewarded behavior to assess a retail loyalty program," Journal of the Academy of Marketing Science, Springer, vol. 49(6), pages 1132-1150, November.
    22. Guo, Xingchen & Jiang, Changmin & Jiang, Siming & Guo, Huanxiu, 2023. "Making airline coalition frequent-flyer programs profitable: An analytical investigation," Transport Policy, Elsevier, vol. 141(C), pages 245-262.
    23. Bazargan, Amirhossein & Karray, Salma & Zolfaghari, Saeed, 2017. "Modeling reward expiry for loyalty programs in a competitive market," International Journal of Production Economics, Elsevier, vol. 193(C), pages 352-364.
    24. Danaher, Peter J. & Sajtos, Laszlo & Danaher, Tracey S., 2016. "Does the reward match the effort for loyalty program members?," Journal of Retailing and Consumer Services, Elsevier, vol. 32(C), pages 23-31.
    25. Yoonseock Son & Wonseok Oh & Sang Pil Han & Sungho Park, 2020. "When Loyalty Goes Mobile: Effects of Mobile Loyalty Apps on Purchase, Redemption, and Competition," Information Systems Research, INFORMS, vol. 31(3), pages 835-847, September.
    26. Viswanathan, Vijay & Sese, F. Javier & Krafft, Manfred, 2017. "Social influence in the adoption of a B2B loyalty program: The role of elite status members," International Journal of Research in Marketing, Elsevier, vol. 34(4), pages 901-918.
    27. Bazargan, Amirhossein & Karray, Salma & Zolfaghari, Saeed, 2018. "‘Buy n times, get one free’ loyalty cards: Are they profitable for competing firms? A game theoretic analysis," European Journal of Operational Research, Elsevier, vol. 265(2), pages 621-630.
    28. Alex Belli & Anne-Maree O’Rourke & François A. Carrillat & Ljubomir Pupovac & Valentyna Melnyk & Ekaterina Napolova, 2022. "40 years of loyalty programs: how effective are they? Generalizations from a meta-analysis," Journal of the Academy of Marketing Science, Springer, vol. 50(1), pages 147-173, January.
    29. Bies, Suzanne M.T.A. & Bronnenberg, Bart J. & Gijsbrechts, Els, 2021. "How push messaging impacts consumer spending and reward redemption in store-loyalty programs," International Journal of Research in Marketing, Elsevier, vol. 38(4), pages 877-899.
    30. Treiblmaier, Horst & Petrozhitskaya, Elena, 2023. "Is it time for marketing to reappraise B2C relationship management? The emergence of a new loyalty paradigm through blockchain technology," Journal of Business Research, Elsevier, vol. 159(C).
    31. Moon, Ilkyeong & Xu, Jie & Feng, Xuehao & Ruan, Xiao, 2020. "Cooperative sales promotion with a point-sharing policy: Advantages and limitations," Omega, Elsevier, vol. 94(C).
    32. Amirhossein Bazargan & Salma Karray & Saeed Zolfaghari, 2021. "Can restrictions on redemption timing boost profitability of loyalty programs in competitive environments?," Computational Management Science, Springer, vol. 18(1), pages 99-124, January.
    33. Atul Purohit & Urjita Thakar, 2019. "Role of information and communication technology in improving loyalty program effectiveness: a comprehensive approach and future research agenda," Information Technology & Tourism, Springer, vol. 21(2), pages 259-280, June.
    34. Ricardo Montoya & Constanza Flores, 2019. "Buying free rewards: the impact of a points-plus-cash promotion on purchase and reward redemption," Marketing Letters, Springer, vol. 30(1), pages 107-118, March.
    35. Bies, Suzanne, 2022. "Examining the effectiveness of activation techniques on consumer behavior in temporary loyalty programs," Other publications TiSEM ade86df3-4846-4318-938f-a, Tilburg University, School of Economics and Management.

  9. André Palma & Mohammed Abdellaoui & Giuseppe Attanasi & Moshe Ben-Akiva & Ido Erev & Helga Fehr-Duda & Dennis Fok & Craig Fox & Ralph Hertwig & Nathalie Picard & Peter Wakker & Joan Walker & Martin We, 2014. "Beware of black swans: Taking stock of the description–experience gap in decision under uncertainty," Marketing Letters, Springer, vol. 25(3), pages 269-280, September.

    Cited by:

    1. Orestis Kopsacheilis, 2018. "The role of information search and its influence on risk preferences," Theory and Decision, Springer, vol. 84(3), pages 311-339, May.
    2. Epper, Thomas & Fehr-Duda, Helga, 2017. "A Tale of Two Tails: On the Coexistence of Overweighting and Underweighting of Rare Extreme Events," Economics Working Paper Series 1705, University of St. Gallen, School of Economics and Political Science.
    3. Ilke Aydogan & Yu Gao, 2020. "Experience and rationality under risk: re-examining the impact of sampling experience," Experimental Economics, Springer;Economic Science Association, vol. 23(4), pages 1100-1128, December.
    4. Hammitt, James K. & Rheinberger, Christoph, 2015. "Dinner with Bayes: On the Revision of Risk Beliefs," TSE Working Papers 15-574, Toulouse School of Economics (TSE).
    5. Ilke Aydogan, 2021. "Prior Beliefs and Ambiguity Attitudes in Decision from Experience," Management Science, INFORMS, vol. 67(11), pages 6934-6945, November.
    6. Marco Alifano & Giuseppe Attanasi & Fabio Iannelli & Faredj Cherikh & Antonio Iannelli, 2020. "COVID-19 pandemic: a European perspective on health economic policies," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 4(S), pages 35-43, June.
    7. Emily K. M. Moylan & Michiel C. J. Bliemer & Taha Hossein Rashidi, 2022. "Travellers’ perceptions of travel time reliability in the presence of rare events," Transportation, Springer, vol. 49(4), pages 1157-1181, August.
    8. Giuseppe Attanasi & Laura Concina & Caroline Kamaté & Valentina Rotondi, 2020. "Firm’s protection against disasters: are investment and insurance substitutes or complements?," Theory and Decision, Springer, vol. 88(1), pages 121-151, February.

  10. Csilla Horváth & Dennis Fok, 2013. "Moderating Factors of Immediate, Gross, and Net Cross-Brand Effects of Price Promotions," Marketing Science, INFORMS, vol. 32(1), pages 127-152, July.

    Cited by:

    1. Manqi (Maggie) Li & Yan Huang & Amitabh Sinha, 2020. "Data-Driven Promotion Planning for Paid Mobile Applications," Information Systems Research, INFORMS, vol. 31(3), pages 1007-1029, September.
    2. Frison, Steffi & Dekimpe, Marnik G. & Croux, Christophe & De Maeyer, Peter, 2014. "Billboard and cinema advertising: Missed opportunity or spoiled arms?," International Journal of Research in Marketing, Elsevier, vol. 31(4), pages 425-433.
    3. Alexander B. Pratt & Stacey G. Robinson & Clay M. Voorhees & Joyce (Feng) Wang & Michael D. Giebelhausen, 2023. "Unintended effects of price promotions: Forgoing competitors’ price promotions strengthens incumbent brand loyalty," Journal of the Academy of Marketing Science, Springer, vol. 51(5), pages 1143-1164, September.
    4. Bombaij, Nick, 2021. "Effectiveness of loyalty programs," Other publications TiSEM 095c506d-5b5c-4ea3-9b41-a, Tilburg University, School of Economics and Management.
    5. Pauwels, Koen & Demirci, Ceren & Yildirim, Gokhan & Srinivasan, Shuba, 2016. "The impact of brand familiarity on online and offline media synergy," International Journal of Research in Marketing, Elsevier, vol. 33(4), pages 739-753.
    6. Gelper, Sarah & Wilms, Ines & Croux, Christophe, 2016. "Identifying Demand Effects in a Large Network of Product Categories," Journal of Retailing, Elsevier, vol. 92(1), pages 25-39.
    7. Li, W. & Fok, D. & Franses, Ph.H.B.F., 2019. "Forecasting own brand sales: Does incorporating competition help?," Econometric Institute Research Papers EI2019-35, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    8. Johannes Auer & Dominik Papies, 2020. "Cross-price elasticities and their determinants: a meta-analysis and new empirical generalizations," Journal of the Academy of Marketing Science, Springer, vol. 48(3), pages 584-605, May.
    9. van Ewijk, Bernadette J. & Gijsbrechts, Els & Steenkamp, Jan-Benedict E.M., 2022. "What drives brands’ price response metrics? An empirical examination of the Chinese packaged goods industry," International Journal of Research in Marketing, Elsevier, vol. 39(1), pages 288-312.
    10. Chen, Xu & Wang, Xiaojun, 2015. "Free or bundled: Channel selection decisions under different power structures," Omega, Elsevier, vol. 53(C), pages 11-20.
    11. Philipp Aschersleben & Winfried J. Steiner, 2022. "A semiparametric approach to estimating reference price effects in sales response models," Journal of Business Economics, Springer, vol. 92(4), pages 591-643, May.
    12. Liu, Huan & Lobschat, Lara & Verhoef, Peter C. & Zhao, Hong, 2021. "The effect of permanent product discounts and order coupons on purchase incidence, purchase quantity, and spending," Journal of Retailing, Elsevier, vol. 97(3), pages 377-393.
    13. Desheng Wu, 2017. "Pass-through decision analysis in a supply chain," Annals of Operations Research, Springer, vol. 257(1), pages 297-316, October.

  11. Dennis Fok & Richard Paap & Bram Van Dijk, 2012. "A Rank‐Ordered Logit Model With Unobserved Heterogeneity In Ranking Capabilities," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(5), pages 831-846, August.
    See citations under working paper version above.
  12. Yuri Peers & Dennis Fok & Philip Hans Franses, 2012. "Modeling Seasonality in New Product Diffusion," Marketing Science, INFORMS, vol. 31(2), pages 351-364, March.
    See citations under working paper version above.
  13. Fok, Dennis & Paap, Richard & Franses, Philip Hans, 2012. "Modeling dynamic effects of promotion on interpurchase times," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3055-3069.
    See citations under working paper version above.
  14. Matilda Dorotic & Dennis Fok & Peter Verhoef & Tammo Bijmolt, 2011. "Do vendors benefit from promotions in a multi-vendor loyalty program?," Marketing Letters, Springer, vol. 22(4), pages 341-356, November.

    Cited by:

    1. Chen, Yanyan & Mandler, Timo & Meyer-Waarden, Lars, 2021. "Three decades of research on loyalty programs: A literature review and future research agenda," Journal of Business Research, Elsevier, vol. 124(C), pages 179-197.
    2. Bombaij, Nick, 2021. "Effectiveness of loyalty programs," Other publications TiSEM 095c506d-5b5c-4ea3-9b41-a, Tilburg University, School of Economics and Management.
    3. Matilda Dorotic & Dennis Fok & Peter C. Verhoef & Tammo H. A. Bijmolt, 2021. "Synergistic and cannibalization effects in a partnership loyalty program," Journal of the Academy of Marketing Science, Springer, vol. 49(5), pages 1021-1042, September.
    4. Bombaij, Nick J.F. & Dekimpe, Marnik G., 2020. "When do loyalty programs work? The moderating role of design, retailer-strategy, and country characteristics," International Journal of Research in Marketing, Elsevier, vol. 37(1), pages 175-195.
    5. Stourm, Valeria & Bradlow, Eric T., 2023. "Cross-reward effects in a coalition loyalty program: The impact of a point currency devaluation," International Journal of Research in Marketing, Elsevier, vol. 40(2), pages 276-293.
    6. Alina Nastasoiu & Neil T. Bendle & Charan K. Bagga & Mark Vandenbosch & Salvador Navarro, 2021. "Separating customer heterogeneity, points pressure and rewarded behavior to assess a retail loyalty program," Journal of the Academy of Marketing Science, Springer, vol. 49(6), pages 1132-1150, November.
    7. Els Breugelmans & Tammo Bijmolt & Jie Zhang & Leonardo Basso & Matilda Dorotic & Praveen Kopalle & Alec Minnema & Willem Mijnlieff & Nancy Wünderlich, 2015. "Advancing research on loyalty programs: a future research agenda," Marketing Letters, Springer, vol. 26(2), pages 127-139, June.
    8. Seung Min Lee & Sang Yong Kim & Shijin Yoo & Tae Ho Song, 2021. "The cross-buying effect in a multi-vendor loyalty program in Korea," Asian Business & Management, Palgrave Macmillan, vol. 20(3), pages 339-369, July.
    9. Xu, Xun & Jackson, Jonathan E., 2019. "Investigating the influential factors of return channel loyalty in omni-channel retailing," International Journal of Production Economics, Elsevier, vol. 216(C), pages 118-132.
    10. Alex Belli & Anne-Maree O’Rourke & François A. Carrillat & Ljubomir Pupovac & Valentyna Melnyk & Ekaterina Napolova, 2022. "40 years of loyalty programs: how effective are they? Generalizations from a meta-analysis," Journal of the Academy of Marketing Science, Springer, vol. 50(1), pages 147-173, January.
    11. Rehnen, Lena Marie, 2016. "Exit strategies of loyalty programs," jbm - Journal of Business Market Management, Free University Berlin, Marketing Department, vol. 9(1), pages 564-596.
    12. Yan, Ruiliang & Pei, Zhi & Ghose, Sanjoy, 2019. "Reward points, profit sharing, and valuable coordination mechanism in the O2O era," International Journal of Production Economics, Elsevier, vol. 215(C), pages 34-47.
    13. Valentyna Melnyk & Stijn Osselaer, 2012. "Make me special: Gender differences in consumers’ responses to loyalty programs," Marketing Letters, Springer, vol. 23(3), pages 545-559, September.
    14. Bies, Suzanne, 2022. "Examining the effectiveness of activation techniques on consumer behavior in temporary loyalty programs," Other publications TiSEM ade86df3-4846-4318-938f-a, Tilburg University, School of Economics and Management.

  15. Dennis Fok & Richard Paap, 2009. "Modeling category‐level purchase timing with brand‐level marketing variables," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(3), pages 469-489, April.
    See citations under working paper version above.
  16. Erjen van Nierop & Dennis Fok & Philip Hans Franses, 2008. "Interaction Between Shelf Layout and Marketing Effectiveness and Its Impact on Optimizing Shelf Arrangements," Marketing Science, INFORMS, vol. 27(6), pages 1065-1082, 11-12.
    See citations under working paper version above.
  17. Fok, Dennis & Franses, Philip Hans, 2007. "Modeling the diffusion of scientific publications," Journal of Econometrics, Elsevier, vol. 139(2), pages 376-390, August.
    See citations under working paper version above.
  18. Fok, Dennis & Hans Franses, Philip & Paap, Richard, 2007. "Seasonality and non-linear price effects in scanner-data-based market-response models," Journal of Econometrics, Elsevier, vol. 138(1), pages 231-251, May.
    See citations under working paper version above.
  19. Fok, Dennis & van Dijk, Dick & Franses, Philip Hans, 2005. "Forecasting aggregates using panels of nonlinear time series," International Journal of Forecasting, Elsevier, vol. 21(4), pages 785-794.
    See citations under working paper version above.
  20. Dick van Dijk & Dennis Fok & Philip Hans Franses, 2005. "A multi-level panel STAR model for US manufacturing sectors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(6), pages 811-827.

    Cited by:

    1. Hermann Ndoya hegueu & Aristophane Djeufack dongmo, 2021. "Urbanization, Governance and Informal Economy: an African Tale," Economics Bulletin, AccessEcon, vol. 41(3), pages 1525-1540.
    2. Cristina Jude & Gregory Levieuge, 2017. "Growth Effect of Foreign Direct Investment in Developing Economies: The Role of Institutional Quality," The World Economy, Wiley Blackwell, vol. 40(4), pages 715-742, April.
    3. JUDE, Cristina & LEVIEUGE, Gregory, 2013. "Growth effect of FDI in developing economies: The role of institutional quality," MPRA Paper 49321, University Library of Munich, Germany.
    4. Davide Furceri & Mr. Prakash Loungani, 2015. "Capital Account Liberalization and Inequality," IMF Working Papers 2015/243, International Monetary Fund.
    5. Jude Eggoh, 2012. "Inflation Effects on Finance-Growth Link: A Panel Smooth Threshold Approach," International Economic Journal, Taylor & Francis Journals, vol. 26(4), pages 711-725, June.
    6. Fok, D. & van Dijk, D.J.C. & Franses, Ph.H.B.F., 2004. "Forecasting aggregates using panels of nonlinear time series," Econometric Institute Research Papers EI 2004-44, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. Juan Carlos Cuestas & Estefania Mourelle & Paulo José Regis, 2019. "Real exchange rate misalignments in CEECs: have they hindered growth?," Bank of Estonia Working Papers wp2018-05, Bank of Estonia, revised 23 Jan 2019.
    8. Damette, Olivier & Seghir, Majda, 2018. "Natural resource curse in oil exporting countries: A nonlinear approach," International Economics, Elsevier, vol. 156(C), pages 231-246.
    9. Yongsung Chang & Sunoong Hwang, 2011. "Asymmetric Phase Shifts in the U.S. Industrial Production Cycles," RCER Working Papers 564, University of Rochester - Center for Economic Research (RCER).
    10. Shiao-Yen Liu & Po-Chin Wu & Tsai-Yuan Huang, 2018. "Nonlinear Causality between Education and Health: the Role of Human Development Index," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 13(3), pages 761-777, September.
    11. Olivier Damette & Mathilde Maurel & Michael A. Stemmer, 2016. "What does it take to grow out of recession? An error-correction approach towards growth convergence of European and transition countries," Post-Print halshs-01318131, HAL.
    12. Andrea Fracasso & Giuseppe Vittucci Marzetti, 2012. "International R&D spillovers, absorptive capacity and relative backwardness: a panel smooth transition regression model," Department of Economics Working Papers 1203, Department of Economics, University of Trento, Italia.
    13. Antonia López‐Villavicencio & José Ignacio Silva, 2011. "Employment Protection And The Non‐Linear Relationship Between The Wage‐Productivity Gap And Unemployment," Scottish Journal of Political Economy, Scottish Economic Society, vol. 58(2), pages 200-220, May.
    14. Jean‐Pierre Allegret & Audrey Allegret, 2019. "Did foreign exchange holding influence growth performance during the global financial crisis?," The World Economy, Wiley Blackwell, vol. 42(3), pages 680-710, March.
    15. Saia, Artjom, 2023. "Digitalization and CO2 emissions: Dynamics under R&D and technology innovation regimes," Technology in Society, Elsevier, vol. 74(C).
    16. Gabriella Deborah Legrenzi & Costas Milas, 2011. "Debt Sustainability and Financial Crises: Evidence from the GIIPS," CESifo Working Paper Series 3594, CESifo.
    17. Djedje Hermann YOHOU & Michaël GOUJON & Bertrand LAPORTE & Samuel GUERINEAU, 2016. "Is Aid Unfriendly to Tax? African Evidence of Heterogeneous Direct and Indirect Effects," Working Papers 201608, CERDI.
    18. Djedje Hermann Yohou & Michaël Goujon & Wautabouna Ouattara, 2015. "Heterogeneous Aid Effects on Tax Revenues: Accounting for Government Stability in WAEMU Countries," CERDI Working papers halshs-01138159, HAL.
    19. Béreau, Sophie & Villavicencio, Antonia López & Mignon, Valérie, 2010. "Nonlinear adjustment of the real exchange rate towards its equilibrium value: A panel smooth transition error correction modelling," Economic Modelling, Elsevier, vol. 27(1), pages 404-416, January.
    20. Magloire LANHA, 2022. "Les institutions influencent-elles la relation," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 55, pages 5-22.
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