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The Formation of Consumer Brand Preferences

Bart J. Bronnenberg
2016 Social Science Research Network  
(X t ; α) + F j (H t ; γ ) , j = 1, . . . , J, 1 . where μ j (X t ; α) is the relevant function to brand j of the products' characteristics, including current marketing conditions like prices, X t .  ...  experiences, F j (H t ).  ... 
doi:10.2139/ssrn.2841698 fatcat:wekx5jiorza7fiy5vrakdb27yy

Structural Modeling and Policy Simulation

Bart J. Bronnenberg, Peter E. Rossi, Naufel J. Vilcassim
2005 Journal of Marketing Research  
strategic behavior of the firm may make it dangerous to condition simply on the values of marketing variables in estimating demand (see Berry, Levinsohn, and Pakes 1995; Besanko, Gupta, and Jain 1998; Bronnenberg  ... 
doi:10.1509/jmkr.42.1.22.56887 fatcat:wdntmxn4qzhqli4xszdetoxxxe

Online Demand Under Limited Consumer Search

Jun B. Kim, Paulo Albuquerque, Bart J. Bronnenberg
2009 Social Science Research Network  
j ) (16) where j,k = jk − j .  ...  j.  ... 
doi:10.2139/ssrn.1340267 fatcat:qg73tu4zurexbbmhkfwhpshtzq

The Periodicity of Pricing

Bart J Bronnenberg, Carl F Mela, William Boulding
2006 Journal of Marketing Research  
BART J. BRONNENBERG, CARL F.  ...  Conversely, if player i believes that raising its price will make player j do the same, then ∂p j / ∂p i > 0.  ... 
doi:10.1509/jmkr.43.3.477 fatcat:cyyk7gailfbrphqmytmculmvfe

The Formation of Consumer Brand Preferences

Bart J. Bronnenberg, Jean-Pierre Dubé
2017 Annual Review of Economics  
(X t ; α) + F j (H t ; γ ) , j = 1, . . . , J, 1 . where μ j (X t ; α) is the relevant function to brand j of the products' characteristics, including current marketing conditions like prices, X t .  ...  experiences, F j (H t ).  ... 
doi:10.1146/annurev-economics-110316-020949 fatcat:fau7cbxh5jex3auegw4i552uu4

Online Demand Under Limited Consumer Search

Jun B. Kim, Paulo Albuquerque, Bart J. Bronnenberg
2010 Marketing science (Providence, R.I.)  
j ) (16) where j,k = jk − j .  ...  j.  ... 
doi:10.1287/mksc.1100.0574 fatcat:z56wunpjpbcmjf724k2c3nrj7i

Do Digital Video Recorders Influence Sales?

Bart J Bronnenberg, Jean-Pierre Dubé, Carl F Mela
2010 Journal of Marketing Research  
The authors analyze a multimillion dollar, three-year field study sponsored by five firms to assess whether enabling skipping of advertisements using digital video recorders (DVRs) affects consumers' shopping behavior for advertised and private label goods. A large sample of households received an offer for a free DVR and service, and close to 20% accepted. Each household's shopping history is observed for 48 consumer packaged goods categories during the 13 months before and the 26 months after
more » ... the DVR offer. The authors fail to reject the null hypothesis of no DVR treatment effect on household spending on advertised branded or private label goods, either one or two years after the DVRs are shipped. The predicted DVR effect is tightly centered around 0, suggesting that the data have sufficient power to identify a true null effect. Using advertising exposure information for seven of the brands in the study, the authors offer suggestive evidence that ad skipping occurs for a relatively small fraction of the total television content viewed. The authors also discuss other potential explanations for the lack of a DVR effect.
doi:10.1509/jmkr.47.6.998 fatcat:k54zzvqyorgy3ok6t3hog7bw2q

Database Paper—The IRI Marketing Data Set

Bart J. Bronnenberg, Michael W. Kruger, Carl F. Mela
2008 Marketing science (Providence, R.I.)  
Likewise, on the manufacturing side, Bronnenberg et al. (2007) find considerable variation in manufacturer market shares and market strategies over space, and such effects will be easier to explain with  ...  The long duration of the data over a large number of categories will enable researchers to assess the potential biases arising from left-censoring in purchase or adoption data (Bronnenberg and Mela 2004  ... 
doi:10.1287/mksc.1080.0450 fatcat:5l5n4aqpbbdvxng7whzpofxzie

An Empirical Analysis of Assortment Similarities Across U.S. Supermarkets

Minha Hwang, Bart J. Bronnenberg, Raphael Thomadsen
2010 Marketing science (Providence, R.I.)  
A cosine demographic distance measure between supermarket i and j is defined as 1 − D i D j / D i D j .  ...  Specifically, in addition to the "noncentered" correlation coefficient proposed by Jaffe (1986) , we propose a centered correlation measure defined as C ij = A i − i ′ A jj A i − i · A jj (2) 13  ... 
doi:10.1287/mksc.1100.0564 fatcat:rnbymq76v5euxpdey3bcal5uri

The Determinants of Assortment Composition and Assortment Size at U.S. Supermarkets

Minha Hwang, Bart J. Bronnenberg, Raphael Thomadsen
2008 Social Science Research Network  
The expected value of the assortment similarity measure therefore equals i Nπ ij S [ ] j i j i j i ij N N S E π π π π π π = = N i π j .  ...  For instance, supermarket i and j, we define vectors of marginal demographic distributions as D i and D j .  ... 
doi:10.2139/ssrn.1271936 fatcat:32iiww3xyngyjdcsggphqccivu

Spatial models in marketing research and practice

Bart J. Bronnenberg
2005 Applied Stochastic Models in Business and Industry  
J. BRONNENBERG  ...  For instance, Bronnenberg and Sismeiro [5] and Bronnenberg and Mela [6] define a social network with retailers as nodes and the degree of trade area overlap as links.  ... 
doi:10.1002/asmb.565 fatcat:j2rtpqkv7jdmdkwby6mn3h62zi

The Evolution of Brand Preferences: Evidence from Consumer Migration

Bart J Bronnenberg, Jean-Pierre H Dubé, Matthew Gentzkow
2012 The American Economic Review  
1 − y j /n i j .  ...  i j −μ s ĵ µ s j −μ s j , (1) where s is i's current state and s is i's birth state.  ... 
doi:10.1257/aer.102.6.2472 fatcat:u5q33rztovcodigrhoplwhupli

Market Roll-Out and Retailer Adoption for New Brands

Bart J. Bronnenberg, Carl F. Mela
2004 Marketing science (Providence, R.I.)  
For an illustration of the use of Voronoi polygons to define local U.S. markets, see Bronnenberg and Mahajan (2001) .  ...  Then, the relative influence of retailer k on retailer k is defined by the former's share of ACV in the latter's trade area (see Bronnenberg and Sismeiro 2002) , i.e., w n k k = m∈C r ACV k m k =k m∈C  ... 
doi:10.1287/mksc.1040.0072 fatcat:kfkxdd4ignfdbji63kkbplv324

The Effects of Product Innovation on Online Search and Choice

Jun B. Kim, Paulo Albuquerque, Bart J. Bronnenberg
2013 Social Science Research Network  
See Kim, Albuquerque, and Bronnenberg (2010) for details.  ...  Estimation Our approach to estimating parameters is in spirit of Kim, Albuquerque, and Bronnenberg (2010) .  ... 
doi:10.2139/ssrn.2345265 fatcat:ay62wvsj4jdl5mhavnee7jbdnm

Brand Competition in CPG Industries: Sustaining Large Local Advantages with Little Product Differentiation

Bart J. Bronnenberg
2006 Social Science Research Network  
Bronnenberg Keywords Asymmetric competition · Consumer packaged goods · Geographic share dispersion JEL Classification L11 · L15 · L22 · L66 · M30 · R12  ...  exp (a jm − p jm )/μ , i, j = 1, 2 (3) For convenience and because its role turns out to be largely passive, markets are all of equal size and total market size is normalized such that N m = 1.  ...  location of the consumers enters the utility comparison as a linear term, and demand is given by a logit model (see, e.g., Anderson et al. 1992) . s im = N m Pr U ihm ≥ U jhm = N m exp (a im − p im )/μ ∀ j  ... 
doi:10.2139/ssrn.933201 fatcat:umks7ykxx5bd7ldsh6qlztbuwy
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