-
1
-
-
36949023433
-
-
Kraft-Jacobs-Suchard-AG-Company-History.html 2 http://www.allbusiness.com/ manufacturing/food-manufacturing-food-coffee-tea/605147-1.html
-
http://www.fundinguniverse.com/company-histories/ Kraft-Jacobs-Suchard-AG-Company-History.html 2 http://www.allbusiness.com/ manufacturing/food-manufacturing-food-coffee-tea/605147-1.html
-
-
-
-
2
-
-
36949027037
-
-
The several stores in the same chain have price correlation very close to 1 and they do appear to perform chain-level retail pricing
-
The several stores in the same chain have price correlation very close to 1 and they do appear to perform chain-level retail pricing.
-
-
-
-
3
-
-
36949015073
-
-
Note that in this market manufacturers may, if they choose to, set different wholesale prices for the same brand sold to different retailers. In another study, Villas-Boas (2007b) considers the welfare effects from imposing uniform wholesale pricing restrictions in this market.
-
Note that in this market manufacturers may, if they choose to, set different wholesale prices for the same brand sold to different retailers. In another study, Villas-Boas (2007b) considers the welfare effects from imposing uniform wholesale pricing restrictions in this market.
-
-
-
-
4
-
-
36949021250
-
-
See Villas-Boas (2007a) and Villas-Boas and Hellerstein (2006) for the derivation of Δw
-
See Villas-Boas (2007a) and Villas-Boas and Hellerstein (2006) for the derivation of Δw
-
-
-
-
5
-
-
36949008659
-
-
r (θ)q = O, this may be true. For general demand models, this is not the case.
-
r (θ)q = O, this may be true. For general demand models, this is not the case.
-
-
-
-
6
-
-
36949005524
-
-
For the random coefficient model, the product market share in equation (4) is approximated by the Logit smoothed accept-reject simulator.
-
For the random coefficient model, the product market share in equation (4) is approximated by the Logit smoothed accept-reject simulator.
-
-
-
-
7
-
-
36949023901
-
-
The aim is to concentrate the SMOM objective function such that it will be only a function of the nonlinear parameters. By expressing the optimal vector of linear parameters as a function of the nonlinear parameters and then substituting back into the objective function, it can be optimized with respect to the nonlinear parameters alone
-
The aim is to concentrate the SMOM objective function such that it will be only a function of the nonlinear parameters. By expressing the optimal vector of linear parameters as a function of the nonlinear parameters and then substituting back into the objective function, it can be optimized with respect to the nonlinear parameters alone.
-
-
-
-
8
-
-
36949014220
-
-
Common to related papers, one limitation of this paper is that it does not consider the possibility of potential efficiency gains due to joint production and distribution of the merging manufacturers, as well as changes in products made available to consumers pre-and post-merger
-
Common to related papers, one limitation of this paper is that it does not consider the possibility of potential efficiency gains due to joint production and distribution of the merging manufacturers, as well as changes in products made available to consumers pre-and post-merger.
-
-
-
-
9
-
-
36949040723
-
-
Industry evidence from Germany shows that yearly consumption, measured as kilograms per capita per year, has fallen from 7.4 by 10 percent in the 12-year period 1990 2002.
-
Industry evidence from Germany shows that yearly consumption, measured as kilograms per capita per year, has fallen from 7.4 by 10 percent in the 12-year period 1990 2002.
-
-
-
-
10
-
-
36949000373
-
-
I also estimated specifications with random coefficients on brand dummies following a more flexible demand model. I do not have data on product characteristics for different coffee brands (to be able to specify heterogeneity along observed product attributes as in Berry et al, 1995, I allow heterogeneity along unobserved (constant) product characteristics captured by the brand dummies. Although the estimated random parameters were not statistically significant for the alternatives investigated, it is worth noting that the price mean and standard errors estimates were very robust across the alternative demand random coefficient specifications
-
I also estimated specifications with random coefficients on brand dummies following a more flexible demand model. I do not have data on product characteristics for different coffee brands (to be able to specify heterogeneity along observed product attributes as in Berry et al., 1995). I allow heterogeneity along unobserved (constant) product characteristics captured by the brand dummies. Although the estimated random parameters were not statistically significant for the alternatives investigated, it is worth noting that the price mean and standard errors estimates were very robust across the alternative demand random coefficient specifications.
-
-
-
-
11
-
-
36949029712
-
-
Other models have not been estimated, such as two-part tariff structures as in Bonnet et al. (2004,), and better costs estimates should be used when confronting the different models formally.
-
Other models have not been estimated, such as two-part tariff structures as in Bonnet et al. (2004,), and better costs estimates should be used when confronting the different models formally.
-
-
-
-
12
-
-
36949010247
-
-
The analysis starts with the observed postmerger data and compares those with simulated premerger equilibrium data. Because the premerger situation actually occurred, one important check would be to compare actual with simulated premerger prices and quantities. Unfortunately, however, I could not obtain premerger data
-
The analysis starts with the observed postmerger data and compares those with simulated premerger equilibrium data. Because the premerger situation actually occurred, one important check would be to compare actual with simulated premerger prices and quantities. Unfortunately, however, I could not obtain premerger data.
-
-
-
|
