Semiparametric Analysis to Estimate the Deal Effect Curve

More documents

Recommendations

Info

Figure 5.2: Beverage data: own-item deal effect curves a Item 1 Item 2 Item 3 Item 4 Item 5 Item 6 a solid line = nonparametric estimate, dashed line = parametric B&W estimate, dotted lines = nonparametric confidence bounds (95%) were obtained by varying the values of one cross-price index, while setting the own-item and the other cross-item price indices equal to one. 19
Figure 5.3: Dutch food data: own-item deal effect curves a Item 3 Item 4 a solid line = nonparametric estimate, dashed line = parametric B&W estimate, dotted lines = nonparametric confidence bounds (95%) Figure 5.4: Tuna data: cross-item deal effect curves a PD 3 b → S c 1 PD2→ S3 a solid line = nonparametric estimate, dashed line = parametric B&W estimate, dotted lines = nonparametric confidence bounds (95%) b,c PD = Price Discount, S = Sales 20
Page 1 and 2: Semiparametric Analysis to Estimate
Page 3 and 4: 1. Introduction One of the key issu
Page 5 and 6: 2.3 Promotion signal effects Inman,
Page 7 and 8: it is important for researchers to
Page 9 and 10: nonparametric estimators, such as t
Page 11 and 12: applications in North America, Euro
Page 13 and 14: Table 4.2: Description of American
Page 15 and 16: (Table 5.2), while the Dutch food p
Page 17 and 18: 5.2 Predictive validity Since impro
Page 19: Figure 5.1: Tuna data: own-item dea
Page 23 and 24: 5.3.3 Key features We summarize key
Page 25 and 26: Table 5.6: Dutch food data: descrip
Page 27 and 28: Figure 5.8: 3D tuna deal effect sur
Page 29 and 30: index is below 0.55. Thus the displ
Page 31 and 32: Appendix 1: Kernel method 10 Consid
Page 33 and 34: Appendix 2: Estimation procedure fo
Page 35 and 36: Appendix 3: Model operationalizatio
Page 37 and 38: are available for ˆm(x0). The esti
Page 39 and 40: Gupta, Sachin, Pradeep K. Chintagun

Semiparametric Analysis to Estimate the Deal Effect Curve

Create successful ePaper yourself

Delete template?

Save as template?