Time-series models in marketing:: Past, present and future
By Marnik G. Dekimpe, Dominique M. Hanssens. 2000
142 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Management Science and Operations Research, Marketing
View Paper: https://www.semanticscholar.org/paper/ac1f8fe5e524d6919d7a236f248f4834226352dd
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- J. De Gooijer
- Jan-Benedict E M Steenkamp
- Rob J Hyndman
- Frenkel ter Hofstede
- Koen Pauwels
- Alexei Botchkarev
- Konstantinos Nikolopoulos
- Rafal Weron
In Management Science and Operations Research
- J. De Gooijer
- Thorsten Wiesel
- Evert de Haan
- Jan-Benedict E M Steenkamp
- Rob J Hyndman
- Koen Pauwels
- Fotios Petropoulos
- Alexei Botchkarev
In Marketing
- Jan-Benedict E M Steenkamp
- Thorsten Wiesel
- Evert de Haan
- Frenkel ter Hofstede
- Rob J Hyndman
- J. De Gooijer
- Koen Pauwels
- Xueming Luo
Citations in the corpus
- 25 years of time series forecasting (2006, background): “…forecasting identified in a set of related papers by Ord, Cogger and Chatfield published in this Journal more than 15 years ago.4 4Outside the IJF, good reviews on the past and future of time series methods are given by Dekimpe & Hanssens (2000) in marketing, and by Tsay (2000) in statistics.”
- Advertising, Research and Development, and Systematic Risk of the Firm (2007, unknown): “To rule out reverse causality, we performed the Grangercausality Wald tests (Dekimpe and Hanssens 2000; Granger 1969).”
- The effectiveness of different forms of online advertising for purchase conversion in a multiple-channel attribution framework (2016, background): “SVARs are “specifically designed to supplement sample-based information with managerial judgment and/or marketing theory” (Dekimpe and Hanssens 2000, p. 185).”
- International market segmentation: issues and perspectives (2002, background): “The integration of such approaches and advances in latent curve modeling (Meredith & Tisak, 1990; Steenkamp & Baumgartner , 2000) and time series modeling (Dekimpe & Hanssens, 2000) may provide powerful tools for studying temporal changes in international segments.”