A micro-econometric approach to geographic market definition in local retail markets: demand side considerations

This paper formalizes an empirically implementable framework for the definition of local antitrust markets in retail markets. This framework rests on a demand model that captures the trade-off between distance and pecuniary cost across alternative shopping destinations within local markets. The paper develops, and presents estimation results for, an empirical demand model at the store level for groceries in the UK

Price Discrimination on Complementary Goods: Evidence from the Men\u27s Shaving Razor Market

This dissertation analyzes the men\u27s razor market to examine whether a monopolist can implement price discrimination for the complementary goods. I estimate a demand system for razors using the random coefficient logit model with market level sales data from the Nielsen Store Scanner dataset and individual demographic data from the March CPS. The estimated parameters are used to construct price-cost markups. By comparing the markups of different products, I find evidence that Gillette uses a two-part tariff strategy. This conclusion can be generalized as that of a monopolist setting the prices of tie-in products consistent with a two-part tariff

ESSAYS ON ORGANIC FOOD MARKETING IN THE U.S.

This dissertation examines organic food marketing from three aspects: household demand for organic food, household choice of retail formats accounting for preference organic food preference, and farmers’ joint adoption of organic farming and direct marketing methods. In Chapter Two, given the fast growth of private label milk and organic milk in the U.S., we estimate a censored demand system to study the demand relations among types of milk differentiated by brand types and organic status, using recent Nielsen Homescan data. We find that sociodemographic factors still play important roles in a household choice of milk types, and fluid milk is an inferior good. Moreover, as income increases, households are more likely to shift from buying conventional milk to organic milk and from private label conventional milk to branded conventional milk, as indicated by the asymmetric cross price elasticities. In Chapter Three, we examine whether households’ preference for organic food can affect their retail format choices for their grocery shopping trips. We model households’ choices of five major retail format with a conditional logit model, also using the Nielsen Homescan data. Our main findings are that regular organic user households are more likely to patronage organic specialty stores and discount stores, but less likely to shop in warehouse clubs. Price, consumer loyalty, and household shopping behavior also affects household retail format choice. In Chapter Four, we examine the relation between farmers’ adoption of organic farming and direct marketing, given their similar objectives in satisfying consumer demand and increasing farm income. We model farmers’ adoption of the two practices with a bivariate simultaneous linear probability model using data from USDA Agricultural Resource Management Survey. Our main finding is that the farmers’ adoption of organic farming decreases their probability of adopting direct marketing, whereas the reverse effect is insignificant. Also, organic farming is found to improve gross farm income

Direct versus indirect channels: Differentiated loss aversion in a high‐involvement, non‐frequently purchased hedonic product

Purpose – This article aims to investigate whether intermediaries reduce loss aversion in the context of a high-involvement non-frequently purchased hedonic product (tourism packages). Design/methodology/approach – The study incorporates the reference-dependent model into a multinomial logit model with random parameters, which controls for heterogeneity and allows representation of different correlation patterns between non-independent alternatives. Findings – Differentiated loss aversion is found: consumers buying high-involvement non-frequently purchased hedonic products are less loss averse when using an intermediary than when dealing with each provider separately and booking their services independently. This result can be taken as identifying consumer-based added value provided by the intermediaries. Practical implications – Knowing the effect of an increase in their prices is crucial for tourism collective brands (e.g. “sun and sea”, “inland”, “green destinations”, “World Heritage destinations”). This is especially applicable nowadays on account of the fact that many destinations have lowered prices to attract tourists (although, in the future, they will have to put prices back up to their normal levels). The negative effect of raising prices can be absorbed more easily via indirect channels when compared to individual providers, as the influence of loss aversion is lower for the former than the latter. The key implication is that intermediaries can – and should – add value in competition with direct e-tailing. Originality/value – Research on loss aversion in retailing has been prolific, exclusively focused on low-involvement and frequently purchased products without distinguishing the direct or indirect character of the distribution channel. However, less is known about other types of products such as high-involvement non-frequently purchased hedonic products. This article focuses on the latter and analyzes different patterns of loss aversion in direct and indirect channels

Essais sur l'estimation structurelle de la demande

Estimation of structural demand models in differentiated product markets plays an important role in economics. It allows to better understand consumers’ choices and, amongst other, to assess the effects of mergers, new products, and changes in regulation. The standard approach consists in specifying a utility model, typically an additive random utility model, computing its demands, and inverting them to obtain inverse demand equations, which will serve as a basis for estimation. However, since these inverse demands have generally no closed form, estimation requires numerical inversion and non-linear optimization, which can be painful and time-consuming. This dissertation adopts a different approach, developing novel inverse demand models, which are consistent with a utility model of heterogeneous consumers. This approach allows to accommodate rich substitution patterns thanks to simple linear regressions with data on market shares, prices and product characteristics. The first chapter of this dissertation develops the inverse product differentiation logit (IPDL) model, which generalizes the nested logit models to allow for richer substitution patterns, including complementarity. It also shows that the IPDL model belongs to the class of generalized inverse logit (GIL) models, which includes a vast majority of additive random utility models that have been used for demand estimation purposes. The second chapter develops the flexible inverse logit (FIL) model, a GIL model that uses a flexible nesting structure with a nest for each pair of products. It shows that the FIL model, projected into product characteristics space, makes the price elasticities depending on product characteristics directly and, using Monte Carlo simulations, that it is able to mimic those from the "flexible" random coefficient logit model. The third chapter studies the micro-foundation of the GIL model. It shows that the restrictions that the GIL model imposes on the inverse demand function are necessary and sufficient for consistency with a model of heterogeneous and utility-maximizing consumers, called perturbed utility model. It also shows that any GIL model yields a demand function that satisfies a slight variant of the Daly-Zachary conditions, which allows to combine substitutability and complementarity in demand.L’estimation structurelle des modèles de demande sur des marchés de produits différenciés joue un rôle important en économie. Elle permet de mieux comprendre les choix des consommateurs et, entre autres, de mesurer les effets d’une fusion d’entreprise, de l’introduction d’un nouveau produit sur le marché ou d’une nouvelle régulation. L’approche traditionnelle consiste à spécifier un modèle d’utilité, typiquement un modèle d’utilité aléatoire additif, à en calculer ses demandes et à inverser ces dernières pour obtenir des équations de demande inverse qui serviront de base pour l’estimation. Toutefois, en général, ces demandes inverses n’ont pas de forme analytique. L'estimation exige donc une inversion numérique et l’emploi de procédures d’estimation non-linéaire, qui peuvent être difficiles à mettre en oeuvre et chronophages.Cette thèse adopte une approche différente, en développant de nouveaux modèles de demande inverse qui sont cohérents avec un modèle d’utilité de consommateurs hétérogènes. Cette approche permet de capter de façon plus flexible les substitutions entre les produits, grâce à de simples régressions linéaires basées sur des données incluant les parts de marché, les prix et les caractéristiques des produits. Le premier chapitre de cette thèse développe le modèle inverse product differentiation logit (IPDL), qui généralise les modèles logit emboîtés, permettant ainsi de capter de façon flexible les substitutions entre les produits, y compris de la complémentarité. Il montre que le modèle IPDL appartient à une classe de modèles de demande inverse, nommée generalized inverse logit (GIL), laquelle inclut une grande majorité de modèles d’utilité aléatoire additifs qui ont été utilisés à des fins d'estimation de la demande. Le second chapitre développe le modèle flexible inverse logit (FIL), un modèle GIL qui utilise une structure de nids flexible avec un nid pour chaque pair de produits. Il montre que le modèle FIL, projeté dans l’espace des caractéristiques des produits, permet d’obtenir des élasticités-prix qui dépendent directement des caractéristiques des produits et, en utilisant des simulations de Monte-Carlo, qu’il est capable de reproduire celles du "flexible" modèle logit à coefficients aléatoires. Le troisième chapitre étudie la micro-fondation du modèle GIL. Il montre que les restrictions que le modèle GIL impose sur la fonction de demande inverse sont des conditions nécessaires et suffisantes de cohérence avec un modèle de consommateurs hétérogènes maximisant leur fonction d’utilité, connu sous le nom de perturbed utility model (PUM). Il montre également que tout modèle GIL génère une fonction de demande qui satisfait une légère variante des conditions de Daly-Zachary, laquelle permet de combiner substituabilité et complémentarité en demande

A Model of Multi-pass Search: Price Search across Stores and Time

In retail settings with price promotions, consumers often search across stores and time. However the search literature typically only models one pass search across stores, ignoring revisits to stores; the choice literature using scanner data has modeled search across time, but not search across stores in the same model. We develop a multi-pass search model that jointly endogenizes search in both dimensions; our model nests a nite horizon model of search across stores within an in nite horizon model of inter-temporal search. We apply our model to milk purchases at grocery stores; hence the model also accounts for repeat purchases across time, inventory holding by households and grocery basket effects. We note that the special case without these additional features can be used to study one time purchases with repeat store visits as in the case of durable goods and online shopping. We formulate the empirical model as a mathematical program with equilibrium constraints (MPEC) and estimate it allowing for latent class heterogeneity using an iterative E-M algorithm. In contrast to extant research, we nd that omitting the temporal dimension underestimates price elasticity. We attribute this difference to the relative frequency of household stockouts and purchase frequency in the milk category. Interestingly, increasing the promotional frequency (while reducing its depth to maintain the mean and variance of prices across all stores) can increase loyalty to the household’s preferred store