payment card rewards programs and consumer payment choice abstract by using a unique data set that contains detailed information about consumer payment choice and consumers attitudes toward each payment method we estimate the effects of payment card rewards on consumer choice of payment methods our approach allows us to control for consumer heterogeneity we find the effects of rewards to be statistically significant across five retail types our policy experiments suggest that for the sub population who hold both credit and debit cards removing rewards would increase their share of paper based payment methods i e cash and checks measured in terms of in store transactions by no more than 4 percentage points

structural workshop paper discrete choice models of consumer demand in marketing marketing researchers have used models of consumer demand to forecast future sales to describe and test theories of behavior and to measure the response to marketing interventions the basic framework typically starts from microfoundations of expected utility theory to obtain an econometric system that describes consumers choices over available options and to thus characterize product demand the basic framework has been augmented significantly to account for quantity choices to accommodate purchases of several products on a single purchase occasion multiple discreteness and multicategory purchases and to allow for asymmetric switching between brands across different price tiers these extensions have enabled researchers to bring the analysis to bear on several related marketing phenomena of interest this paper has three main objectives the first objective is to articulate the main goals of demand analysis forecasting measurement and testing and to highlight several considerations associated with these goals our second objective is to describe the main building blocks of individual level demand models we discuss approaches built on direct and indirect utility specifications of demand systems and we review extensions that have appeared in the marketing literature the third objective is to explore a few emerging directions in demand analysis including considering demand side dynamics combining purchase data with primary information and using semiparametric and nonparametric approaches we hope researchers new to this literature will take away a broader perspective on these models and see the potential for new directions in future research

practice prize report planning new tariffs at tele ring the application and impact of an integrated segmentation targeting and positioning tool tele ring is a mobile phone organization selling contracts and cell phones in the austrian market the market situation in 2005 was highly competitive and dynamic resulting in relatively short tariff life cycles excessively long lead times made tele ring s management feel dissatisfied with their new tariff development process furthermore a new competitor had entered the market posing a major threat and it was unclear how to effectively safeguard tele ring s position in the market in cooperation with the management we implemented and tested a new segmentation targeting and positioning tool which provides managers with information on their target markets customer preferences competitors strengths and customer segments it allows for the simultaneous visualization of these data on a single map and facilitates timely and accurate decision making in particular we report on the design and the implementation of a new pricing scheme formel 10 which became the most successful new tariff introduction in this competitive market tele ring s managers were very much impressed with our tool s ability to represent the market on a single map and with its capacity to allow for intuitive interpretation in addition the tool enhanced internal communication between its users and different stakeholders during the new tariff development process

a factor analytic probit model for representing the market structure in panel data internal market structure analysis infers both brand attributes and consumer preferences for those attributes from preference or choice data the authors exploit a new method for estimating probit models from panel data to infer market structures that can be displayed in few dimensions even though the model can represent every possible vector of purchase probabilities

a probabilistic choice model for market segmentation and elasticity structure marketing scholars commonly characterize market structure by studying the patterns of substitution implied by brand switching though the approach is useful it typically ignores the destabilizing

market provision of broadcasting a welfare analysis this paper presents a theory of the market provision of broadcasting and uses it to address the nature of market failure in the industry advertising levels may be too low or too high depending on the nuisance cost to viewers the substitutability of programs and the expected benefits to advertisers from contacting viewers market provision may allocate too few or too many resources to programming and these resources may be used to produce programs of the wrong type monopoly ownership may produce higher social surplus than competitive ownership and the ability to price programming may reduce social surplus

who participates in household scanning panels we compare two widely used household scanning panels maintained by the nielsen company and information resources inc to a random sample of the u s population results indicate that the demographic characteristics of the random sample more closely match the census bureau data than the household scanning panels we also show that after controlling for demographic differences participants in the household scanning panels are slightly more price sensitive than participants in the random sample the two household scanning panels yield similar results in relation to one another which suggests that the household scanning panels may suffer from sample selection and participation biases

decision making under uncertainty capturing dynamic brand choice processes in turbulent consumer goods markets we construct two models of the behavior of consumers in an environment where there is uncertainty about brand attributes in our models both usage experience and advertising exposure give consumers noisy signals about brand attributes consumers use these signals to update their expectations of brand attributes in a bayesian manner the two models are 1 a dynamic model with immediate utility maximization and 2 a dynamic forward looking model in which consumers maximize the expected present value of utility over a planning horizon given this theoretical framework we derive from the bayesian learning framework how brand choice probabilities depend on past usage experience and advertising exposures we then form likelihood functions for the models and estimate them on nielsen scanner data for detergent we find that the functional forms for experience and advertising effects that we derive from the bayesian learning framework fit the data very well relative to flexible ad hoc functional forms such as exponential smoothing and also perform better at out of sample prediction another finding is that in the context of consumer learning of product attributes although the forward looking model fits the data statistically better at conventional significance levels both models produce similar parameter estimates and policy implications our estimates indicate that consumers are risk averse with respect to variation in brand attributes which discourages them from buying unfamiliar brands using the estimated behavioral models we perform various scenario evaluations to find how changes in marketing strategy affect brand choice both in the short and long run a key finding obtained from the policy experiments is that advertising intensity has only weak short run effects but a strong cumulative effect in the long run the substantive content of the paper is potentially of interest to academics in marketing economics and decision sciences as well as product managers marketing research managers and analysts interested in studying the effectiveness of marketing mix strategies our paper will be of particular interest to those interested in the long run effects of advertising note that our estimation strategy requires us to specify explicit behavioral models of consumer choice behavior derive the implied relationships among choice probabilities past purchases and marketing mix variables and then estimate the behavioral parameters of each model such an estimation strategy is referred to as structural estimation and econometric models that are based explicitly on the consumer s maximization problem and whose parameters are parameters of the consumers utility functions or of their constraints are referred to as structural models a key benefit of the structural approach is its potential usefulness for policy evaluation the parameters of structural models are invariant to policy that is they do not change due to a change in the policy in contrast the parameters of reduced form brand choice models are in general functions of marketing strategy variables e g consumer response to price may depend on pricing policy as a result the predictions of reduced form models for the outcomes of policy experiments may be unreliable because in making the prediction one must assume that the model parameters are unaffected by the policy change since the agents in our models choose among many alternative brands their choice probabilities take the form of higher order integrals we employ monte carlo methods to approximate these integrals and estimate our models using simulated maximum likelihood estimation of the dynamic forward looking model also requires that a dynamic programming problem be solved in order to form the likelihood function for this we use a new approximation method based on simulation and interpolation techniques these estimation techniques may be of interest to researchers and policy makers in many fields where dynamic choice among discrete alternatives is important such as marketing decision sciences labor and health economics and industrial organization

time scarcity and the market for news abstract we develop a theory of news coverage in environments of information abundance time constrained consumers browse through news items across competing outlets they choose which outlets to access and which stories to read or skip thus indirectly deciding how much time to spend on a given outlet firms decide on rankings of news items that maximize their profits we show that even when readers or television viewers and firms are rational and unbiased they spend more time on the news than they would like and not necessarily on the topics they prefer in particular relevant news items may be crowded out we then study how reader efficient standards can be restored and derive implications on diverse aspects of new and traditional media these include tabloidization and polarization of the news and other aspects relevant for the political economy of the media including political knowledge gaps and voter turnout

category pricing with state dependent utility there is substantial literature documenting the presence of state dependent utility with packaged goods data typically a form of brand loyalty is detected whereby there is a higher probability of purchasing the same brand as has been purchased in the recent past the economic significance of the measured loyalty remains an open question we consider the category pricing problem and demonstrate that the presence of loyalty materially affects optimal pricing the prices of higher quality products decline relative to those of lower quality when loyalty is introduced into the model given the well known problems with the confounding of state dependence and consumer heterogeneity loyalty must be measured in a model which allows for an unknown and possibly highly nonnormal distribution of heterogeneity we implement a highly flexible model of heterogeneity using multivariate mixtures of normals in a hierarchical choice model we use an euler equations approach to the solution of the dynamic pricing problem which allows us to consider a very large number of consumer types

investigating consumer purchase behavior in related technology product categories we present a framework of durable goods purchasing behavior in related technology product categories that incorporates the following aspects unique to technology product purchases first it accounts for consumers anticipation of declining prices or increasing quality over time second the durable nature of technology products implies that even if two categories are related as complements consumers may stagger their purchases over several periods third the forward looking consumer decision process as well as the durable nature of technology products implies that a consumer s purchase in one category will depend on the anticipated price and quality trajectories of all categories as a potential aid to future researchers we also lay out the data requirements for empirically estimating the parameters of our model and the consequences of not having various elements of these data on our ability to estimate the parameters the data available for our empirical analysis are household level information on category level first time adoption decisions in three categories personal computers digital cameras and printers our results reveal a strong complementary relationship between the three categories policy simulations based on a temporary price decrease in any one category provide interesting insights into how consumers would modify their adoption behavior over time and also across categories as a consequence of the price decrease

an empirical comparison of logit choice models with discrete versus continuous representations of heterogeneity abstract currently there is an important debate about the relative merits of models with discrete and continuous representations of consumer heterogeneity in a recent jmr study andrews ansari and currim 2002 hereafter aac compared metric conjoint analysis models with discrete and continuous representations of heterogeneity and found no differences between the two models with respect to parameter recovery and prediction of ratings for holdout profiles models with continuous representations of heterogeneity fit the data better than models with discrete representations of heterogeneity the goal of the current study is to compare the relative performance of logit choice models with discrete versus continuous representations of heterogeneity in terms of the accuracy of household level parameters fit and forecasting accuracy to accomplish this goal the authors conduct an extensive simulation experiment with logit models in a scanner data context using an experimental design based on aac and other

try it you will like it does consumer learning lead to competitive price promotions there is strong evidence that consumers learn from their brand consumption experiences and continuously update their brand purchase probabilities however in explaining why established competitive brands continuously compete through periodic price promotions most of the existing theories do not attribute this phenomenon to underlying consumer learning yet try it you will like it is often the stated rationale of the practicing marketing manager in offering consumers a price promotion on a brand this paper examines the connection between consumer learning and the offering of price promotions the consumer model specified is markovian in nature and encompasses in addition to consumer learning other empirical findings such as the increase in product class consumption in response to price reductions the consumer models used in the existing game theoretic approaches to this problem are shown to be mostly special cases of the proposed model it is demonstrated that for the commonly used price response functions the existence of consumer learning at a level of intensity consistent with that identified in empirical works makes it optimal for competing brands to periodically offer price promotions moreover it is shown that the competing brands should promote in different periods as opposed to head to head

modeling multiple sources of heterogeneity in multinomial logit models methodological and managerial issues we offer a framework to specify and estimate various sources of heterogeneity in multinomial logit brand choice models we let each brand specific intercept and each parameter of the explanatory variable vector vary randomly across households in addition we distinguish loyal households from the rest our results suggest that incorporating multiple sources of heterogeneity improves the model fit and suggests higher impact of marketing mix elements on brand choice we highlight the importance of incorporating multiple sources of heterogeneity the model we implement yields valuable managerial insights

a dynamic analysis of market structure based on panel data internal market structure analysis infers brand positions in an attribute space from preference and choice data given a market in which consumers have heterogeneous tastes for attributes previous market structure models have adopted a static framework e g elrod 1988 chintagunta 1994 elrod and keane 1995 furthermore they assumed that consumer perceptions of brand attributes do not vary across consumers yet these approaches may render inaccurate representations of market structure if there is state dependence in consumer choice behavior this paper attempts to incorporate consumer choice dynamics into market structure models by specifying the source of choice dynamics explicitly in particular the process by which past purchases affect current choices is modeled in a framework which captures both consumer habit persistence and variety seeking behavior more specifically consumer preferences for brand attributes are modeled to depend on the attributes of brands bought on the previous purchase occasion furthermore the modeling approach adopted incorporates heterogeneity in both consumer preferences and perceptions of brand attributes the audience of this paper includes practitioners and academics interested in understanding consumer choice processes and inferring market structure from consumer choice data the proposed models are estimated on nielsen scanner panel data for margarine peanut butter yogurt and liquid detergent using simulated maximum likelihood techniques the empirical results suggest that accounting for choice dynamics improves both in sample and out of sample fit the results indicate that the average consumer is habit persistent in all the product categories studied this result is consistent with the findings of kannan and sanchez 1994 who conducted an aggregate analysis of consumer variety seeking behavior across product categories however the results obtained in this paper suggest that consumers are heterogeneous with respect to the processes by which past purchases affect current purchases these results provide strong evidence for habit persistence and variety seeking in brand attributes to be the behavioral source of consumer choice dynamics in food categories thus consumer tastes utility weights seem to be affected by the attributes of the brands consumed in the past given the empirical result that a large proportion of consumers are habit persistent this suggests that tastes are reinforced by the brand attributes consumed in the past the empirical results also show that not accounting for state dependence in market structure models for panel data may produce misleading results that is depending on consumer behavior patterns models that do not account for state dependence may distort the true nature of competition among brands more specifically the results confirm the expectation that if there is habit persistence that is if consumer tastes are reinforced by attributes of brands consumed in the past models that do not capture this choice dynamics will overestimate the distance between similar brands furthermore the policy experiments conducted suggest that 1 static models overestimate the short run impact of a price cut on the sales of the brand on promotion 2 price cuts hurt the sales of the more similar brands more and 3 free samples affect relatively less similar brands the most finally this paper studies variety seeking and habit persistence across brands over purchase occasions however variety seeking behavior may also involve the purchase of a portfolio of brands or items at a purchase occasion consumers may buy multiple items knowing that prior to the next trip they may want to consume different items simanson 1990 walsh 1995 this type of behavior can be modeled within the context of dynamic expected utility maximization with forward looking consumers the development and estimation of market structure models that include forward looking consumers who maximize expected utility over a planning horizon incorporating their future tastes and needs and shopping for an inventory of brands remain an important future research issue

dynamic models incorporating individual heterogeneity utility evolution in conjoint analysis it has been shown in the behavioral decision making marketing research and psychometric literature that the structure underlying preferences can change during the administration of repeated measurements e g conjoint analysis and data collection because of effects from learning fatigue boredom and so on in this research note we propose a new class of hierarchical dynamic bayesian models for capturing such dynamic effects in conjoint applications which extend the standard hierarchical bayesian random effects and existing dynamic bayesian models by allowing for individual level heterogeneity around an aggregate dynamic trend using simulated conjoint data we explore the performance of these new dynamic models incorporating individual level heterogeneity across a number of possible types of dynamic effects and demonstrate the derived benefits versus static models in addition we introduce the idea of an unbiased dynamic estimate and demonstrate that using a counterbalanced design is important from an estimation perspective when parameter dynamics are present

identifying unmet demand brand preferences and marketplace demand are a reflection of the importance of underlying needs of consumers and the efficacy of product attributes for delivering value dog owners for example may look to dog foods to provide specific benefits for their pets e g shiny coats that may not be available from current offerings an analysis of consumer wants for these consumers would reveal weak demand for product attributes resulting from low efficacy despite the presence of strong latent interest the challenge in identifying such unmet demand is in distinguishing it from other reasons for weak preference such as general noninterest in the category and heterogeneous tastes we propose a model for separating out these effects within the context of conjoint analysis and we demonstrate its value with data from a national survey of toothpaste preferences implications for product development and reformulation are explored

beyond the endogeneity bias the effect of unmeasured brand characteristics on household level brand choice models we investigate the role of potential weekly brand specific characteristics that influence consumer choices but are unobserved or unmeasurable by the researcher we use an empirical approach based on the estimation methods used for standard random coefficients logit models to account for the presence of such unobserved attributes using household scanner panel data we find evidence that ignoring such time varying latent to the researcher characteristics can lead to two types of problems first consistent with previous literature we find that these unobserved characteristics may lead to biased estimates of the mean price response parameters this argument is based on a form of price endogeneity if marketing managers set prices based on consumer willingness to pay then the observed prices will likely be correlated with the latent to the researcher brand characteristics we resolve this problem by using an instrumental variables procedure our findings suggest that simply ignoring these attributes may also lead to larger estimates of the variance in the heterogeneity distribution of preferences and price sensitivities across households this could overstate the benefits from marketing activities such as household level targeting we resolve the problem by using weekly brand intercepts embedded in a random coefficients brand choice model to control for weekly brand specific characteristics while accounting for household heterogeneity overall our results extend the finding on the endogeneity bias from the mean of the heterogeneity distribution i e the price effect to include the variance of that distribution

modeling heterogeneity and state dependence in consumer choice behavior in frequently purchased consumer goods markets consumer brand choices exhibit substantial persistence across purchase occasions in this article i estimate a choice model that admits of both heterogeneity in preferences and true state dependence as sources of this persistence using nielsen scanner data on ketchup i find evidence for true state dependence in the choice process even after controlling for a rich heterogeneity structure simulation of the model indicates that the long term effect of a promotion induced purchase on future purchase probabilities is positive but small

news droughts news floods and u s disaster relief this paper studies the influence of mass media on u s government response to approximately 5 000 natural disasters occurring between 1968 and 2002 these disasters took nearly 63 000 lives and affected 125 million people per year we show that u s relief depends on whether the disaster occurs at the same time as other newsworthy events such as the olympic games which are obviously unrelated to need we argue that the only plausible explanation of this is that relief decisions are driven by news coverage of disasters and that the other newsworthy material crowds out this news coverage

observed and unobserved preference heterogeneity in brand choice models this paper extends the scanner based choice literature by explicitly incorporating individual level brand preference data we illustrate our model using a unique data set that combines survey and scanner data collected from the same individuals the addition of individual specific brand preference information significantly improves fit and prediction furthermore this observed heterogeneity better explains choice than does unobserved heterogeneity in the standard scanner model s parameters more importantly we find that the standard model underestimates the importance of consumers brand preferences and overestimates both brand loyalties and price sensitivities brand loyalty is overestimated because models without preference information confound state dependence heterogeneity and preference effects price sensitivities are inflated because the average preference based consumer is implicitly assumed to be more willing to switch from his preferred brand than is the real preference based consumer further standard models overestimate the heterogeneity in price and loyalty sensitivities and misidentify both price and loyalty sensitive consumers the managerial implications of our findings and the applicability of our methodology when survey data are collected infrequently and for only a subsample of consumers are pursued we demonstrate that even under these circumstances better populationwide pricing and promotion decisions are identified and more accurate targeting results

optimal information disclosure a sender randomly draws a prospect characterized by its profitability to the sender and its relevance to a receiver the receiver observes only a signal provided by the sender and accepts the prospect if his bayesian inference about the prospect s relevance exceeds his opportunity cost the sender s profits are typically maximized by partial information disclosure whereby the receiver is induced to accept less relevant but more profitable prospects switches by pooling them with more relevant but less profitable ones baits extensions include maximizing a weighted sum of sender profits and receiver surplus and allowing the sender to use monetary incentives

strategic pricing and detailing behavior in international markets we study three determinants of the levels of price and detailing effort across geographic markets the within market response to each variable the nature of interfirm strategic interactions both within that market and across markets we empirically examine the interactions of prozac zoloft and paxil across the united states the united kingdom germany france and italy our results indicate that all three factors driving marketing mix interactions are at play in this product category the u s market is less price sensitive than the european markets detailing elasticities are comparable across the united states germany and italy while the united kingdom and france show greater elasticity for the u s market we find that almost all deviations from nash pricing and detailing levels are due to within market interactions in the u k market deviations from nash prices come about due mostly to across market interactions both with the united states as well as the rest of europe whereas deviations from nash detailing levels are mainly due to across market interactions with the united states for italy we observe that both within and across market interactions affect price and detailing levels overall the pattern of interactions makes observed prices more similar across countries than prices implied by the estimated elasticities this underscores the importance of considering within and across market interactions in developing multimarket strategy

search diversion and platform competition abstract platforms use search diversion in order to trade off total consumer traffic for higher revenues derived by exposing consumers to unsolicited products e g advertising we show that competition between platforms leads to lower equilibrium levels of search diversion relative to a monopoly platform when the intensity of competition is high on the other hand if there is only mild competition then competing platforms induce more search diversion relative to a platform monopolist when platforms charge consumers fixed access fees all equilibrium levels of search diversion under platform competition are equal to the monopoly level irrespective of the nature of competition furthermore relative to platforms that cannot charge such fees platforms that charge positive negative access fees to consumers have weaker stronger incentives to divert search

targeted pricing and customer data sharing among rivals it is increasingly observable that competitors in different industries share customer data which can be used for targeted pricing we propose a modified hotelling model with two dimensional consumer heterogeneity to analyze the incentives for such sharing and its ensuing welfare effects we show that these incentives depend on the type of customer data and on consumer heterogeneity in the strength of brand preferences only data on consumer transportation cost parameters is shared the incentives to do so are stronger if consumers are relatively homogeneous customer data sharing is most likely to be detrimental to consumer surplus while the effect on social welfare can be positive

the value of purchase history data in target marketing an important aspect of marketing practice is the targeting of consumer segments for differential promotional activity the premise of this activity is that there exist distinct segments of homogeneous consumers who can be identified by readily available demographic information the increased availability of individual consumer panel data open the possibility of direct targeting of individual households the goal of this paper is to assess the information content of various information sets available for direct marketing purposes information on the consumer is obtained from the current and past purchase history as well as demographic characteristics we consider the situation in which the marketer may have access to a reasonably long purchase history which includes both the products purchased and information on the causal environment short of this complete purchase history we also consider more limited information sets which consist of only the current purchase occasion or only information on past product choice without causal variables proper evaluation of this information requires a flexible model of heterogeneity which can accommodate observable and unobservable heterogeneity as well as produce household level inferences for targeting purposes we develop new econometric methods to implement a random coefficient choice model in which the heterogeneity distribution is related to observable demographics we couple this approach to modeling heterogeneity with a target couponing problem in which coupons are customized to specific households on the basis of various information sets the couponing problem allows us to place a monetary value on the information sets our results indicate there exists a tremendous potential for improving the profitability of direct marketing efforts by more fully utilizing household purchase histories even rather short purchase histories can produce a net gain in revenue from target couponing which is 2 5 times the gain from blanket couponing the most popular current electronic couponing trigger strategy uses only one observation to customize the delivery of coupons surprisingly even the information contained in observing one purchase occasion boasts net couponing revenue by 50 more than that which would be gained by the blanket strategy this result coupled with increased competitive pressures will force targeted marketing strategies to become much more prevalent in the future than they are today

on the existence of pure and mixed strategy nash equilibria in discontinuous games a game is better reply secure if for every nonequilibrium strategy x and every payoff vector limit u resulting from strategies approaching x some player i has a strategy yielding a payoff strictly above u i even if the others deviate slightly from x if strategy spaces are compact and convex payoffs are quasiconcave in the owner s strategy and the game is better reply secure then a pure strategy nash equilibrium exists better reply security holds in many economic games it also permits new results on the existence of symmetric and mixed strategy nash equilibria

mass media competition political competition and public policy if better informed voters receive favourable policies then mass media will affect policy because mass media provide most of the information people use in voting this paper models the incentives of the media to deliver news to different groups the increasing returns to scale technology and advertising financing of media firms induce them to provide more news to large groups such as taxpayers and dispersed consumer interests and groups that are valuable to advertisers this news bias alters the tradeoff in political competition and therefore introduces a bias in public policy the paper also discusses the effects of broadcast media replacing newspapers as the main information source about politics the model predicts that this change should raise spending on government programmes used by poor and rural voters

search and choice in online consumer auctions price dispersion in simultaneous online auctions is a puzzle in light of the relatively low search costs required to find the lower price much of this price dispersion appears to be due to a lack of switching by bidders between auctions which in turn could be due to inertia related to search costs we identify some of the influencing factors through a controlled field experiment involving pairs of simultaneous auctions keeping the sellers and the goods sold identical between two auctions we vary auction design features between and within pairs including shipping cost open reserve secret reserve price and duration and we provide bidders with incentives to search we use a choice model that examines individual choice between pairs of simultaneous auctions we find that within pair price dispersion is substantial and that prices and auction choice by bidders are indeed related to search costs we find strong inertia in auction choice and find that this effect significantly interacts with time left in the auction although individuals do not always choose a lower priced auction they are more likely to do so when search costs are low or search incentives are high

non point source regulation a self reporting mechanism abstract information feasible regulatory mechanisms that do not require the regulator to acquire firm level information have been proposed long ago for stochastic non point emission problems these mechanisms do not take polluter cooperation and firm entry exit incentives simultaneously into account nor are these issues addressed in an informationally efficient way in this paper we propose an informationally feasible self reporting mechanism that is robust to cooperation among polluters while giving participating firms correct abatement incentives as well as giving entry exit incentives that are correct to a first order approximation

implications of rational inattention abstract a constraint that actions can depend on observations only through a communication channel with finite shannon capacity is shown to be able to play a role very similar to that of a signal extraction problem or an adjustment cost in standard control problems the resulting theory looks enough like familiar dynamic rational expectations theories to suggest that it might be useful and practical while the implications for policy are different enough to be interesting

can prominence matter even in an almost frictionless market consumer search on the internet is rarely random sponsored links appear higher up a webpage and consumers often click them firms also bid aggressively for these prominent positions at the top of the page but why should prominence matter when visiting an additional website is almost costless i present a model in which consumers know their valuations for the products offered in the market but do not know which retailer sells which product i show that a prominent retailer earns significantly more profit than other firms even when the cost of searching websites and comparing products is essentially zero

a spatial theory of news consumption and electoral competition we characterize the optimal editorial positions of the media in a model in which the media influence both voting behaviour and party policies political parties are less likely to choose partisan policies when more voters consume informative news when there are two media outlets each should be slightly biased relative to its audience in order to attract voters with relatively extreme views voter welfare is typically higher under a duopoly than under a monopoly two media outlets under joint ownership may provide more diverse viewpoints than two independent ones but voter welfare is not always higher copyright 2008 wiley blackwell