the labour market over the business cycle can theory fit the facts we examine the ability of six labour market models to account for the business cycle behaviour of uk labour markets when embedded in a stochastic growth model we assess the models in terms of i their ability to mimic general business cycle correlations and volatility ii their success at explaining the persistence of labour market fluctuations and iii whether the models can explain why the growth and speed of adjustment of labour market variables changes between periods of expansions and contractions the main success of the models is the ability to broadly account for business cycle correlations and co movements and the changes in employment unemployment growth rates between expansions and contractions however there are three main failures a the models tend to produce insufficiently volatile employment and unemployment fluctuations b the models tend to produce too strong a correlation between wages and employment c most of the models generate only brief temporary deviations in unemployment in response to shocks rather than the protracted dynamics of the data

learning your earning are labor income shocks really very persistent in this paper we examine the risk situation facing individuals in the labor market the current consensus in the literature is that the labor income process has a large random walk component we argue two points first the estimates of persistence from income data appear to be upward biased due to the omission of heterogeneity in income pro les across the population that would be implied for example by a human capital model with heterogeneity when we allow for dierences in pro les the estimated persistence falls from 0 99 to about 0 8 moreover the main evidence against pro le heterogeneity in the existing literature that the autocorrelations of income changes are small and typically negative is also replicated by the pro le heterogeneity model we estimate casting doubt on the previous interpretation of this evidence second we embed this process in a life cycle model to examine how it alters individuals consumption saving decision we assume that as seems plausible individuals do not know their pro les exactly at the beginning of life but learn in a bayesian way with successive income observations we nd that learning is very slow and aects consumption decision throughout the life cycle the model generates substantial rise in consumption inequality over the life cycle which matches empirical observations deaton and paxson 1994 moreover the shape of the age inequality pro le is non concave as in the data but unlike in a model with very persistent shocks finally the consumption pro les of college graduates are steeper than those of high school graduates in the model consistent with the data because they face a wider dispersion of and hence uncertainty about income growth rates overall this evidence indicates that income shocks may be signi cantly less persistent than what is currently assumed

states and the business cycle abstract we model the us business cycle using a dynamic factor model that identifies common factors underlying fluctuations in state level income and employment growth we find three such common factors each of which is associated with a set of factor loadings that indicate the extent to which each state s economy is related to the national business cycle according to the factor loadings there is a great deal of heterogeneity in the nature of the links between state and national economies in addition to exhibiting geographic patterns the closeness of state economies to the national business cycle is related not only to differences in industry mix but also to non industry variables such as agglomeration and neighbor effects finally we find that the common factors tend to explain large proportions of the total variability in state level business cycles although again there is a great deal of cross state heterogeneity

estimating a model of strategic network choice the convenience store industry in okinawa this paper investigates a determinant of location choice for multistore retailing firms the trade off between the business stealing effect and the cost saving effect from clustering their own stores i present an empirical model of network choice by two multistore firms i use lattice theoretical results to address the computational burden of solving for an equilibrium in store networks the framework integrates the static entry game of complete information with post entry outcome data while using simulations to correct for the selection of entrants i present an application of the model to the case of the convenience store industry in okinawa island japan using unique cross sectional data on store networks and revenues i use parameter estimates to examine the impact of a hypothetical horizontal merger on store configurations costs and profits results suggest a retailer s trade off between cost savings and lost revenues from clustering its stores is positive across markets and negative within a market i find an acquirer of a hypothetical merger of two multistore firms would decrease its number of stores in suburbs but increase its number in the city center

household electricity demand revisited respond to price changes this paper develops a model for evaluating the effects of alternative tariff designs on electricity use the model concurrently addresses several interrelated difficulties posed by nonlinear pricing heterogeneity in consumer price sensitivity and consumption aggregation over appliances and time we estimate the model using extensive data for a representative sample of 1300 california households the results imply a strikingly skewed distribution of household electricity price elasticities in the population with a small fraction of households accounting for most aggregate demand response we then estimate the aggregate and distributional consequences of recent tariff structure changes recent efforts to restructure electricity markets have renewed interest in electricity demand and pricing this interest reflects a broad desire to improve the efficiency of electricity markets and policy makers concerns over the impact of price changes on consumers how new pricing mechanisms would affect households consumption and expenditures is a matter of considerable uncertainty however this uncertainty has provoked controversy and debate in the regulatory policy arena hampering market reforms using econometric methods to assess the effects of electricity price changes presents several challenges these include the nonlinear structure of tariff schedules aggregation of metered consumption behaviour over time and appliances and the interdependence of energy use with longer term household decisions over appliance ownership and dwelling characteristics the first two issues introduce complex simultaneity problems between marginal prices and consumption the third issue imposes high data requirements information on household specific appliance holdings and residence features and creates heterogeneity in consumption responses related to the characteristics of these durable goods when the researcher s objective is to develop a model for simulating the effects of prospective tariff changes ignoring these issues will provide an incomplete assessment of demand responses and potentially misleading predictions of a new tariff s consumption and revenue consequences in this paper we estimate a model of household electricity demand that can be used

broadcast advertising and u s demand for alcoholic beverages quarterly data for 1977 1994 on alcohol consumption and advertising are used to estimate a differential demand system including explanatory variables for broadcast advertising and print advertising the model explains the growth rate of per capita consumption dependent on explanatory variables for prices real income demographic changes and real advertising by media and beverage empirical results also are reported for total consumption of pure alcohol the results for the three beverages and total alcohol indicate that advertising has little or no effect on demand the empirical evidence thus supports the notion that regardless of media advertising affects mainly brand shares

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

endogeneity in brand choice models applications of random utility models to scanner data have been widely presented in marketing for the last 20 years one particular problem with these applications is that they have ignored possible correlations between the independent variables in the deterministic component of utility price promotion etc and the stochastic component or error term in fact marketing mix variables such as price not only affect brand purchasing probabilities but are themselves endogenously set by marketing managers this work tests whether these endogeneity problems are important enough to warrant consideration when estimating random utility models with scanner panel data our results show that not accounting for endogeneity may result in a substantial bias in the parameter estimates

are local minimum wages absorbed by price increases estimates from internet based restaurant menus the authors analyze 884 internet based restaurant menus from inside and outside san jose california which they collected before and after the city implemented a 25 minimum wage increase in 2013

estimating demand for spatially differentiated firms with unobserved quantities and limited price data extending the circular city model i derive a pricing equation that identifies key structural parameters from one firm s data simulations indicate demand shifters and rotators can be distinguished cost parameters are imprecise and the likeliest specification error biases estimates toward zero

costs of business cycles for unskilled workers abstract unskilled workers are subject to a much larger risk of unemployment during recessions than are skilled workers moreover unskilled workers earn less income which limits their ability to self insure we examine how this heterogeneity in unemployment risk and income across different skill groups translates into heterogeneity in the cost of business cycles we find that the welfare cost of business cycles for unskilled workers is substantially higher than the welfare cost for skilled workers

cyclical dynamics in idiosyncratic labor market risk is individual labor income more risky in recessions this is a difficult question to answer because existing panel data sets are so short to address this problem we develop a generalized method of moments estimator that conditions on the macroeconomic history that each member of the panel has experienced variation in the cross sectional variance between households with differing macroeconomic histories allows us to incorporate business cycle information dating back to 1930 even though our data do not begin until 1968 we implement this estimator using household level labor earnings data from the panel study of income dynamics we estimate that idiosyncratic risk is i highly persistent with an annual autocorrelation coefficient of 0 95 and ii strongly countercyclical with a conditional standard deviation that increases by 75 percent from 0 12 to 0 21 as the macroeconomy moves from peak to trough

estimating markups and market conduct with multidimensional product attributes we demonstrate how to estimate a model of oligopoly pricing when products are multi dimensionally differentiated we provide an empirical counterpart to recent theoretical work on product differentiation using specifications informed by economic theory we estimate price cost margins for products differentiated in many dimensions

accounting for primary and secondary demand effects with aggregate data discrete choice models of aggregate demand such as the random coefficients logit can handle large differentiated products categories parsimoniously while still providing flexible substitution patterns however the discrete choice assumption may not be appropriate for many categories in which we expect consumers may purchase more than one unit of the selected item we derive the aggregate demand system corresponding to a discrete continuous household level model of demand we also propose a method of simulated moments procedure that provides consistent estimates of the structural parameters when only aggregate data are available the procedure also enables the researcher to control both for the potential endogeneity of marketing variables as well as potential heterogeneity in consumer tastes using our aggregate estimates we can measure the decomposition of price elasticities into incidence brand choice and purchase quantity components we also propose several empirical tests to assess the validity of the discrete continuous demand system versus that of the logit model in several simulation experiments we demonstrate the robustness of this model across datasets in which quantity choices may or may not be important our empirical calibration to store level data in the refrigerated orange juice category indicates a considerable improvement in fit of the observed aggregate sales using the discrete continuous model

heating technology and energy use a discrete continuous choice approach to norwegian household energy demand abstract the aim of this paper is to describe the structure of the household s energy demand as a discrete continuous choice and on this basis establish an econometric model suitable for the data available in the norwegian energy surveys the discrete appliance choice is specified as a multinomial logit model with a mixture of appliance attributes operating costs and individual characteristics income housing unit characteristics etc as explanatory variables in the next step the continuous choice of energy use is modelled conditional on the appliance choice the energy prices turn out to be significant both when estimating the appliance choice and the conditional energy demand the estimated price elasticity for energy exceeds minus unity the paper discusses how this relatively strong price response should be interpreted in the context of other econometric analysis with no explicit appliance dependence finally the significance of the many household characteristics at both stages of the model signals a high degree of heterogeneity within the households which justifies the use of detailed micro data in the modelling of the energy demand

the nature of precautionary wealth abstract this paper uses the panel study of income dynamics to provide some of the first direct evidence that wealth is systematically higher for consumers with predictably greater income uncertainty however the apparent pattern of precautionary wealth is not consistent with a standard parameterization of the life cucle model in which consumers are patient enough to begin saving for retirement early in life wealth is estimated to be far less sensitive to uncertainty than implied by that model instead our results suggest that over most of their working life time consumers behave in accordance with the buffer stock models of saving described in carroll 1992 1997 or deaton 1991 in which consumers hold wealth principally to insulate consumption against near term fluctuations in income

price competition under mixed multinomial logit demand functions in this paper we postulate a general class of price competition models with mixed multinomial logit demand functions under affine cost functions in these models the market is partitioned into a finite set of market segments we characterize the equilibrium behavior of this class of models in the case where each product in the market is sold by a separate independent firm we identify a simple and very broadly satisfied condition under which a pure nash equilibrium exists and the set of nash equilibria coincides with the solutions of the system of first order condition equations a property of essential importance to empirical studies this condition specifies that in every market segment each firm captures less than 50 of the potential customer population when pricing at a specific level that under the condition is an upper bound for a rational price choice for the firm irrespective of the competitors prices we show that under a somewhat stronger but still broadly satisfied version of the abov

residential energy use and conservation economics and demographics energy consumption in the residential sector offers an important opportunity for conserving resources however much of the current debate regarding energy efficiency in the housing market focuses on the physical and technical determinants of energy consumption neglecting the role of the economic behavior of resident households in this paper we analyze the extent to which the use of gas and electricity is determined by the technical specifications of the dwelling as compared to the demographic characteristics of the residents our analysis is based on a sample of more than 300 000 dutch homes and their occupants the results indicate that residential gas consumption is determined principally by structural dwelling characteristics such as the vintage building type and characteristics of the dwelling while electricity consumption varies more directly with household composition in particular income and family composition combining these results with projections on future economic and demographic trends we find that even absent price increases for residential energy the aging of the population and their increasing wealth will roughly offset improvements in the energy efficiency of the building stock resulting from policy interventions and natural revitalization

is 75 of the sales promotion bump due to brand switching no only 33 is abstract several researchers have decomposed sales promotion elasticities based on household scanner panel data a key result is that the majority of the sales promotion elasticity approximately 74 on average is attributed to secondary demand effects brand switching and the remainder is attributed to primary demand effects timing acceleration and quantity increases the authors demonstrate that this result does not imply that if a brand gains 100 units in sales during a promotion the other brands in the category lose 74 units the authors offer a complementary decomposition measure based on unit sales the measure shows the ratio of the current cross brand unit sales loss to the current own brand unit sales gain during promotion the authors report empirical results for this measure they also derive analytical expressions that transform the elasticity decomposition into a decomposition of unit sales effects these expressions show the nature of the difference between the two decompositions to ga

the welfare cost of business cycles revisited finite lives and cyclical variation in idiosyncratic risk abstract this paper investigates the welfare costs of business cycles in a heterogeneous agent overlapping generations economy which is distinguished by idiosyncratic labor market risk aggregate variation arises both in terms of aggregate productivity shocks and countercyclical variation in the volatility of idiosyncratic shocks based on both aggregate data and microeconomic data from the panel study on income dynamics we find the welfare benefits of eliminating aggregate variation to be large an order of magnitude larger than those originally documented by lucas 1987 the key difference is countercyclical variation in idiosycratic risk which both amplifies the welfare cost of aggregate productivity shocks and imposes a cost of its own the magnitude of these effects increases non linearly in risk aversion our results therefore are consistent with the increasingly popular notion that distributional effects are an important aspect of understanding the welfare cost of business cycles

empirical generalizations about market evolution and stationarity we present empirical generalizations about conditions under which marketing variables evolve or remain stationary we first define evolution statistically and make the case why it is an important concept for increasing our understanding of long run marketing effectiveness we then briefly review ways in which evolution can be tested empirically from readily available data we present a database of over 400 prior analyses and catalog the relative incidence of stationarity versus evolution in market performance and marketing spending we find that evolution is the dominant characteristic for sales and marketing mix spending but that stationarity is the dominant characteristic for market share thus we find strong support for the conjecture that many markets are in a long run equilibrium where the relative position of the players is only temporarily disturbed by their respective marketing activities we assess the impact of a number of covariates on the likelihood of finding stationarity evolution in sales

spatial differentiation and vertical mergers in retail markets for gasoline this paper studies an empirical model of spatial competition applied to gasoline markets the main feature is to specify commuting paths as the locations of consumers in a hotelling style model as a result spatial differentiation depends in an intuitive way on the structure of the road network and the direction of traffic flows the model is estimated using panel data on the quebec city gasoline market and used to evaluate the consequences of a recent vertical merger difference in difference and counterfactual simulation methods are compared and the results to a large extent validate the assumptions of the demand model jel g34 l13 l42 l81 q41 r41

estimating store choices with endogenous shopping bundles and price uncertainty abstract we develop a structural model of retail store choices for which household shopping plans and price beliefs are endogenously determined in our model individual households make their store choices based on their expected basket costs which are determined by their shopping plans and price beliefs previous studies use realized purchases as a proxy for unobserved shopping lists and also assume homogenous price expectation across all households over the entire sample period our approach improves the measures of expected basket costs by estimating intended shopping lists of households using a duration model and also by constructing household time store and goods specific price expectations in our empirical application using a scanner data set we find that the store choices become significantly more elastic to prices when the correction is applied

spatial differentiation and price discrimination in the cement industry evidence from a structural model we estimate a structural model of the cement industry that incorporates spatial differentiation and price discrimination focusing on the us southwest over 1983 2003 we leverage the structure of the model to obtain consistent estimates of the underlying parameters using data on market outcomes that are substantially aggregated our results indicate that transportation costs around 0 46 per tonne mile rationalize the data this friction enables relatively isolated plants to obtain higher prices from nearby customers we further find that disallowing price discrimination would create 30 million in consumer surplus annually and show how the model can identify suitable divestitures in merger analysis

household fuel expenditure and residential building energy efficiency ratings in ireland abstract this paper examines the relationship between residential buildings energy efficiency labels and household energy expenditure complementing an existing literature comparing theoretical and actual energy use residential building energy performance certificates indicate a theoretical energy use based on standardised assumptions about occupancy and energy service demand and are a market signal about the energy performance of a property this paper quantifies the empirical relationship between households expenditure on fuel and building energy performance using household expenditure survey data from the republic of ireland the extent of this relationship i e the size of the elasticity parameter is of direct relevance to policy makers in the context of energy efficiency and climate policy targets with building energy efficiency measured as a 15 point scale we find that each rating decline along the scale is associated with a reduction in energy expenditure of 1 6

localized competition heterogeneous firms and vertical relations this paper investigates the link between firms geographic configuration and market power in imperfect markets we consider two related setups the first illustrates the relevant characteristics of the pricing equilibrium a main implication is that the equilibrium price vector changes in accordance with the firms spatial configuration the second where firms operate as downstream retailers affiliated to rival upstream wholesalers shows that upstream market power is strongly affected by an index of geographic concentration which reflects the spatial configuration of retailers finally our analysis provides several insights for market delineation as well as merger evaluation and remedies

rivalry in price and location by differentiated product manufacturers in this article we estimate a model of strategic rivalry between food manufacturers in product design and pricing we derive a spatial structural model in which food manufacturers jointly select prices and the optimal attribute composition of their product lines we find that manufacturers have an incentive to locate yogurt products nearby others in attribute space and that products with the most similar attribute compositions enjoy the widest price cost margins our findings explain the observation that most consumer package goods tend to be very similar yet manufacturers appear to earn above normal profits copyright 2013 oxford university press

a hierarchical bayes model of primary and secondary demand product design pricing policies and promotional activities influence the primary and secondary demand for goods and services brand managers need to develop an understanding of the relationships between marketing mix decisions and consumer decisions of whether to purchase in the product category which brand to buy and how much to consume knowledge about factors most effective in influencing primary and secondary demand of a product allows firms to grow by enhancing their market share as well their market size the purpose of this paper is to develop an individual level model that allows an investigation of both the primary and secondary aspects of consumer demand unlike models of only primary demand or only secondary demand this more comprehensive model offers the opportunity to identify changes in product features that will result in the greatest increase in demand it also offers the opportunity to differentially target consumer segments depending upon whether consumers are most likely to enter the market increase their consumption level or switch brands in the proposed hierarchical bayes model an integrative framework that jointly models the discrete choice and continuous quantity components of consumer decision is employed instead of treating the two as independent the model includes parameters that capture individual specific reservation value attribute preference and expenditure sensitivity the model development is based upon the microeconomic theory of utility maximization heterogeneity in model parameters across the sample is captured by using a random effects specification guided by the underlying microeconomic model this requires that some of the effects are strictly positive this is accommodated through the use of a gamma distribution of heterogeneity for some of the parameters a normal distribution of heterogeneity is used for the remaining parameters gibbs sampling is used to estimate the model the key methodological contribution of this paper is that we show how to specify a hierarchical bayes continuous random effects model that integrates consumer choice and quantity decisions such that individual level parameters can be estimated individual level estimates are desirable because insights into primary demand involve nonlinear functions of model parameters for example consumers not in the market are those whose utilities for the choice alternatives fall below some reservation value the proposed methodology yields individual specific estimates of reservation values and expenditure sensitivity which allow assessment of the origins of demand other than the switch ing behavior of consumers the methodology can also be used to help identify changes in product features most likely to bring new customers into a market our work differs from previous research in this area as we lay the framework needed to obtain individual level parameter estimates in a continuous random effects model that integrates choice and quantity the methodology is demonstrated with survey data collected about consumer preferences and consumption for a food item for the data available a large response heterogeneity was observed across all model parameters in spite of limited data available at the individual level a majority of the individual level estimates were found to be significant predictive tests demonstrated the superiority of the proposed model over existing latent class and aggregate models particularly significant gains in predictive accuracy were observed for the no buy behavior of the respondents these gains demonstrate that by structurally linking the choice and quantity models results in a more accurate characterization of the market than existing finite mixture approaches that model choice and quantity independently we show that our joint model makes more efficient use of the available data and results in better parameter estimates than those that assume independence finally the individual level demand analysis is illustrated through a simple example involving a 1 00 price cut we demonstrate practical usefulness of the model for targeting by developing the demographic attitudinal and behavioral profiles of consumer groups most likely to increase consumption enter the market or switch brands because of a price cut decision

mergers with differentiated products the case of the ready to eat cereal industry traditional merger analysis is difficult to implement when evaluating mergers in industries with differentiated products i discuss an alternative which consists of demand estimation and the use of a model of postmerger conduct to simulate the competitive effects of a merger i estimate a brand level demand system for ready to eat cereal using supermarket scanner data and use the estimates to 1 recover marginal costs 2 simulate postmerger price equilibria and 3 compute welfare effects under a variety of assumptions the methodology is applied to five mergers two of which occurred and for which i compare predicted to actual outcomes

the temporal and spatial dimensions of price search insights from matching household survey and purchase data abstract price promotions are pervasive in grocery markets a household can respond to price promotions by effectively cherry picking through 1 spatial price search across stores and 2 temporal price search across time however extant research has analyzed these two dimensions of price search only separately and therefore underestimates both the consumer response to price promotions and the impact of promotions on retail profit in this article the authors introduce an integrated analysis of spatial and temporal price search they seek answers to three questions first what are the predictors of household decisions to perform either spatial or temporal price search second how effective are the temporal spatial and spatiotemporal price search strategies in obtaining lower prices and third what is the impact of alternative price search strategies on retailer profit the authors use a unique data collection approach that combines household surveys with observed purchase data to address these que

from the peaks to the valleys cross state evidence on income volatility over the business cycle abstract countercyclical variation in individuals idiosyncratic labor income risk could generate substantial welfare costs following past research we infer income volatility the variance of permanent income shocks a standard proxy for income risk from the rate at which cross sectional variances of income rise over the life cycle for a given cohort our novelty lies in exploiting cross state variation in state economic conditions or state sensitivity to national economic conditions we find that income volatility is higher in good state times than bad during good national times we find volatility is higher in states that are more sensitive to national conditions

the effect of ownership structure on prices in geographically differentiated industries i analyze how ownership structure and market geography jointly influence fast food prices i estimate a model of demand and supply that accounts for the market geography and run counterfactual experiments that demonstrate how mergers affect prices i find that the impact of mergers can be large that this impact decreases as the merging outlets are farther apart that mergers among market leaders generally increase prices more than mergers among weaker firms and that mergers can increase prices even if the outlets are so far apart that neither outleti s presence affects prices at the other before the merger

the value of domestic building energy efficiency evidence from ireland abstract following the transposition of the eu energy performance of buildings directive into irish law all properties offered for sale or to let in ireland are obliged to have an energy efficiency rating this paper analyses the effect of energy efficiency ratings on the sale and rental prices of properties in the republic of ireland using the heckman selection technique we model the decision to advertise the energy efficiency rating of a property and the effect of energy efficiency ratings on property values our results show that energy efficiency has a positive effect on both the sales and rental prices of properties and that the effect is significantly stronger in the sales segment of the property market we also analyse the effect of energy efficiency across different market conditions and we find that the effect of the energy rating is generally stronger where market conditions are worse

combining micro and macro data in microeconometric models or panel samples to improve accuracy of estimation in this paper we show how to do this efficiently we show that the gains from use of marginal information can be substantial we also discuss how to test the compatibility of sample and marginal information

measuring market power in the ready to eat cereal industry the ready to eat cereal industry is characterized by high concentration high price cost margins large advertising to sales ratios and numerous introductions of new products previous researchers have concluded that the ready to eat cereal industry is a classic example of an industry with nearly collusive pricing behavior and intense nonprice competition this paper empirically examines this conclusion in particular i estimate price cost margins but more importantly i am able empirically to separate these margins into three sources i that which is due to product differentiation ii that which is due to multi product firm pricing and iii that due to potential price collusion the results suggest that given the demand for different brands of cereal the first two effects explain most of the observed price cost margins i conclude that prices in the industry are consistent with noncollusive pricing behavior despite the high price cost margins leading firms are able to maintain a portfolio of differentiated products and influence the perceived product quality it is these two factors that lead to high price cost margins

quantifying the prevalence of fuel poverty across the european union abstract the literature and policy base for fuel poverty in the uk and ireland is well established and there is a growing body of single country studies beyond these two eu member states for example brunner et al 2012 dubois 2012 robine et al 2008 however on a european level the last analysis of fuel poverty was conducted in 2004 prior to the enlargement of the eu using survey data this paper presents an updated overview of the prevalence of european fuel poverty in the context of the accession of numerous former social states and rising fuel prices analysis reveals the phenomenon of fuel poverty is occurring across the eu with particularly high levels of fuel poverty found in eastern and southern european states it is argued that there are both eu and national policy frameworks in place that address climate change and these could be used as a starting point for countries to address fuel poverty through improved domestic energy efficiency measures this paper reflects research undertaken in 2011 supported by eaga charitable trust within the umbrella of work examining issues of poverty and social exclusion across the eu which has enabled access to the eu silc dataset

turf wars product line strategies in competitive markets in this paper we study product line scope and pricing decisions in a horizontally differentiated duopoly past research has shown that a firm may offer a broader product line to attract higher demand or charge a higher price or both and benefit at the expense of its competitor we show that such outcomes may be reversed especially when consumers have relatively high valuation and low heterogeneity in their preferences for the line extension we find that an equilibrium exists such that only one firm prefers to expand scope but profits may be higher for both firms even in the absence of market size expansion this is because a broader scope permits that firm to effectively price discriminate by raising prices for its core customers the competitor optimally responds by lowering prices to gain share and earn a higher profit thus higher prices for the firm expanding its product line translate into higher demand for the competing firm thus increasing profit for both we show that our results hold when firms deploy generic offensive or defensive strategies during product line expansion

inequality and growth in the united states evidence from a new state level panel of income inequality measures i introduction rising income inequality in the united states over the past quarter century is well documented see e g gottschalk 1997 krueger 2003 levy and murnane 1992 piketty and saez 2003 whether and by how much this change in inequality is associated with a change in economic performance is an important question yet recent empirical work has been largely inconclusive positive relationships between income inequality and economic growth have been found by partridge 1997 2005 using a panel of states and by forbes 2000 using a panel of countries empirical work by panizza 2002 and quah 2001 however has found little or no stable relationship between inequality and growth the results appear to be extremely sensitive to the econometric specification additionally barro 2000 has found evidence that the relationship is nonlinear with inequality being positively related to growth among wealthier countries like the united states but negatively related to growth among low income countries much of this recent empirical literature was initiated by the important work of deininger and squire 1996 who constructed a large cross national panel of inequality measures containing several time series observations for each nation spaced over multiple decades a parallel empirical literature also emerged using u s state level data with income inequality measures typically spaced at 10 yr intervals see e g panizza 2002 partridge 1997 2005 both the state level and the cross national empirical literatures benefited by exploiting the more advanced panel data econometrics afforded by the large n small t panel dimensions in this paper we offer a new more comprehensive panel of state level income inequality measures and use this panel to reevaluate the empirical inequality growth relationship 1 this panel has the unique feature of being large in both n and t with annual observations of the 48 contiguous states for the entirety of the postwar period 1945 2004 for nearly all the states in the panel the share of income held by the top decile experienced a prolonged period of stability after world war ii followed by a substantial increase during the 1980s and 1990s these state level trends appear to closely replicate the overall trends in aggregate u s inequality found by piketty and saez 2003 exploiting the large and balanced size of our inequality panel we explore the long run relationship between inequality and growth via three alternative dynamic panel error correction estimators the fixed effects fe estimator the mean group mg estimator of pesaran and smith 1995 and the pooled mg estimator of pesaran shin and smith 1999 the greater homogeneity of state level data helps mitigate the difficulty in adequately capturing structural differences across international panels of earlier studies such as forbes 2000 and barro 2000 corruption levels labor market flexibility tax neutrality tradition of entrepreneurship and many other factors are only poorly measured if at all barro 2000 1011 and these sources of heterogeneity are much more likely to contribute to omitted variable bias across countries than across states the results from our analysis indicate that the long run relationship between the top decile share of income and economic growth is positive in nature moreover an evaluation of several alternative income inequality measures suggests that this positive relationship is driven primarily by the concentration of income in the upper end of the income distribution the structure of the paper is as follows section ii presents the new panel of annual state level inequality measures and includes an important discussion of its key limitations section iii then offers an empirical investigation on the impact of income inequality on the growth rate of real income per capita finally section iv offers a brief set of conclusions

mergers brand competition and the price of a pint abstract mergers in the uk brewing industry have reduced the number of national brewers from six to four the number of brands in contrast has remained relatively constant we analyze the effects of mergers on brand competition and pricing brand level demand equations are estimated from a panel of draft beers to model brand substitution possibilities we estimate the matrix of cross price elasticities semiparametrically our structural model is used to assess the strength of brand competition along various dimensions and to evaluate the mergers in particular we compute equilibria of pricing games with different numbers of players

determinants of residential space heating expenditures in great britain in great britain several policy measures have been implemented in order to increase energy efficiency and reduce carbon emissions in the domestic sector this could for example be achieved by improving space heating efficiency and thus decreasing heating expenditure however in order to efficiently design and implement such policy measures a better understanding of the determinants affecting heating expenditure is needed in this paper we examine the following determinants socio economic factors building characteristics heating technologies and weather conditions in contrast to most other studies we use panel data to investigate household demand for heating in great britain our data sample is the result of an annual set of interviews with more than 5000 households starting in 1991 and ending in 2005 the sample represents a total of 64 000 observations over the fifteen year period our aim is to derive price and income elasticities both for britain as a whole and for different types of household our results suggest that differences exist between owner occupied and renter households these households react differently to changes in income and prices our results also imply that a number of socio economic criteria have a significant influence on heating expenditure independently of the fuel used for heating understanding the impacts of different factors on heating expenditure and impact differences between types of household is helpful in designing target oriented policy measures

engel curves household characteristics and low user tariff schemes in natural gas abstract we explore the relative importance of income and household characteristics such as family size in explaining differences in household consumption of natural gas and lpg in a simple model of vertically willingness to pay ordered households we posit that the relative importance of the income elasticity of demand vs the family size elasticity depends positively on the price faced by households thus very low prices tend to depress the across households income elasticity of demand relative to the characteristic elasticity and the opposite holds for under high prices we test this hypothesis using for the first time in argentina data from the household expenditure survey on natural gas and lpg and compare the cross consumption equations for both fuels which have quite different price regimes finally we explore welfare implications for low user tariff scheme reforms in natural gas

competition and collusion in the american automobile industry the 1955 price war movements in total quantity and in quality adjusted price suggest a supply side shock in the american automobile market in 1955 this paper tests the hypothesis that the shock was a transitory change in industry conduct a price war the key ingredients of the test are alternative equilibrium models of oligopoly under product differentiation in nonnested cox tests of hypotheses a collusive solution is sustained in 1954 and in 1956 while a competitive solution holds in 1955 the result does not appear to be an artifact since it is robust in tests against alternative specifications copyright 1987 by blackwell publishing ltd

measuring the business stealing cannibalization and market expansion effects of entry in the u s motion picture exhibition market using a large and comprehensive theater level database covering over 18 billion in theater revenues over a five year period i document the extent and nature of business stealing revenue cannibalization and market expansion that occurred during the height of the 1990 s boom in movie theater construction

the pricing behavior of italian gas stations some evidence from the cuneo retail fuel market abstract this paper studies how gas stations adjust their gasoline and diesel prices in response to their neighboring competitors the empirical analysis relies on data collected from january to august 2011 on the daily prices of 20 gas stations located in cuneo italy these data show significant price uniformity especially within the same geographical area of the town approximately one third of gas stations responded within a day to targeted competitors price changes indicating some evidence of price matching behavior in the industry additionally there is some but discontinuous geographical price propagation testifying to the presence of a weak domino effect finally spatial econometric analysis suggests that there is spatial dependence between gas stations up to about 1 1 km

supermarket choice and supermarket competition in market equilibrium multi store firms are common in the retailing industry theory suggests that cross elasticities between stores of the same firm enhance market power to evaluate the importance of this effect in the u k supermarket industry we estimate a model of consumer choice and expenditure using three data sources profit margins for each chain a survey of consumer choices and a data set of store characteristics to permit plausible substitution patterns the utility model interacts consumer and store characteristics we measure market power by calculating the effect of merger and demerger on nash equilibrium prices demerger reduces the prices of the largest firms by between 2 and 3 8 depending on local concentration mergers between the largest firms lead to price increases up to 7 4

an empirical model of firm entry with endogenous product type choices i describe a model of entry with endogenous product type choices these choices are formalized as the outcomes of a game of incomplete information in which rivals differentiated products have nonuniform competitive effects on profits i estimate the model for location choices in the video retail industry using a nested fixed point algorithm solution the results imply significant returns to product differentiation simulations illustrate the tradeoff between demand and intensified competition and the extent to which markets with more scope for differentiation support greater entry

product positioning and competition the role of location in the fast food industry this paper examines optimal product positioning strategies of asymmetric firms in the context of retail outlet locations in the fast food industry the relationships between profits and product differentiation reveal that both mcdonald s and burger king are better off avoiding close competition if the market area is large enough however in small market areas mcdonald s would prefer to be located together with burger king rather than have the two outlets be only a slight distance apart in contrast burger king s profits always increase with greater differentiation offsetting these incentives is the desirability of locating centrally to appeal to the most customers the equilibrium depends on the market s size in small markets mcdonald s locates near the center of the market and burger king locates to the side of the market in larger markets mcdonald s and burger king choose locations on opposite sides of the market although mcdonald s locates closer to the optimal central location than burger king i also show that the role of price competition on product positioning is fundamentally different under asymmetric competition than under symmetric competition price competition unambiguously induces symmetric firms toward differentiation in contrast with asymmetric firms price competition shifts burger king s incentives toward locating closer to mcdonald s even while price competition increases mcdonald s desire for differentiation as a result equilibrium locations with asymmetric firms are approximately the same regardless of whether prices adjust with location

why are recessions good for your health a series of influential papers by christopher j ruhm 2000 2003 2005 2008 documents that recessions are good for your health or more specifically that state level mortality rates are strongly procyclical the magnitude of the correlation is economically meaningful a typical estimate from the literature suggests that a 1 percentage point increase in a state s unemployment rate is associated with a 0 54 percent reduction in that state s mortality rates if this reflects a causal relationship that is also valid at the national level then a 1 percentage point increase in the unemployment rate would translate based on 2004 mortality rates into about 12 000 fewer deaths per year these findings are frequently interpreted as resulting from the rising opportunity cost of time that accompanies better labor market opportunities and some empirical support exists for this interpretation for example ruhm 2000 shows that obesity and smoking also exhibit a procyclical pattern the economy and health

firm types price setting strategies and consumption tax incidence abstract we analyze price responses to large restaurant vat rate reductions in two different european countries our results show that responses in the short and medium run were clustered around two focal points of zero pass through and full pass through differences between independent restaurants and chains is the key explanation for this pattern while nearly all independent restaurants effectively ignored the tax reductions and left consumer prices unchanged a substantial fraction of restaurants belonging to chains chose a rapid and complete pass through in the longer run prices converged but primarily through a price reversion among chain restaurants the stark difference in price responses does not appear to arise because of different market characteristics such as location initial price levels meal types and restaurant segment

public monopoly and economic efficiency evidence from the pennsylvania liquor control board s entry decisions we estimate a spatial model of liquor demand to analyze the impact of government controlled retailing on entry patterns in the absence of the pennsylvania liquor control board the state would have roughly 2 5 times the current number of stores higher consumer surplus and lower payments to liquor store employees with just over half the number of stores that would maximize welfare the government system is instead best rationalized as profit maximization with profit sharing government operation mitigates but does not eliminate free entry s bias against rural consumers we find only limited evidence of political influence on entry jel d42 d72 l11 l12 l43 l81

intertemporal substitution and storable products storable products allow consumers to time their purchases to exploit price fluctuations it has been documented that during promotions consumers buy more the additional purchases are potentially intended not only for current use but to be stockpiled for future consumption this paper discusses the predictions of a consumer inventory model and reviews the available evidence we then discuss the implications for demand estimation and present estimates of jel lo l4 dl d4 the economic magnitude of the dynamic effect of storability jel lo l4 dl d4 jel lo l4 dl d4

how far for a buck tax differences and the location of retail gasoline activity in southeast chicagoland abstract we exploit variation in gasoline and cigarettes taxes in adjacent political jurisdictions for northern illinois and indiana to examine consumers trade off between prices and travel we develop a model that relates activity in the retail gasoline industry around the tax borders to consumer locations our results indicate that the willingness of a typical chicagoland consumer to travel an additional mile to buy gasoline corresponds to about 0 065 to 0 084 per gallon according to our estimates the observed area of chicago the jurisdiction with the highest taxes is missing approximately 40 of the capacity that would exist were taxes equalized

exploring the income distribution business cycle dynamics abstract we document the business cycle behavior of the us income distribution and explore the extent to which unemployment spells and cyclically moving factor shares account for this behavior by analyzing four heterogeneous household extensions of the neoclassical growth model we conclude i that partitioning the population into five types subject to type specific employment processes seems to be enough to account for most aspects of the us income distribution business cycle dynamics ii that the role played by cyclically moving factor shares is small and iii that the income distribution business cycle dynamics may be essentially independent from the significant part of the observed wealth concentration that these model worlds fail to account for

promotion and fast food demand many believe that fast food promotion is a significant cause of the obesity epidemic in north america industry members argue that promotion only reallocates brand shares and does not increase overall demand we study the effect of fast food promotion on market share and total demand by estimating a discrete continuous model of fast food restaurant choice and food expenditure that explicitly accounts for both spatial and temporal determinants of demand estimates are obtained using a unique panel of canadian fast food consumers the results show that promotion primarily increases demand and has a smaller effect on restaurant market shares

spatial price competition a semiparametric approach we investigate the nature of price competition among firms that produce differentiated products and compete in markets that are limited in extent we propose an instrumental variables series estimator for the matrix of cross price response coefficients demonstrate that our estimator is consistent and derive its asymptotic distribution our semiparametric approach allows us to discriminate among models of global competition in which all products compete with all others and local competition in which products compete only with their neighbors we apply our semiparametric estimator to data from u s wholesale gasoline markets and find that in this market competition is highly localized

a simultaneous approach to the whether what and how much to buy questions consumer s purchase decisions of whether to buy what to buy and how much to buy are examined simultaneously based on a consumer utility maximization problem an unobservable threshold price about which a consumer pivots from nonpurchase to purchase can be deduced with any model specification the interrelationships between purchase decisions can be explicitly derived the model is applied to coffee purchasing data in addition by suppressing the nonpurchase options the model is compared with an alternative approach appearing in the marketing literature

choosing between order of entry assumptions in empirical entry models evidence from competition between burger king and mcdonald s restaurant outlets we demonstrate how a non nested statistical test developed by vuong 1989 can be used to assess the suitability of alternate order of entry assumptions used for identification purposes in empirical entry models as an example we estimate an entry model of mcdonald s and burger king restaurant outlets in united states the data set focuses on relatively small isolated markets for these markets the non nested tests suggest that order of entry assumptions that give burger king outlets a first mover advantage are statistically preferred last a monte carlo experiment provides encouraging results suggesting that the vuong type test yields reliable results within the entry model framework

uniform pricing in us retail chains we show that most u s food drugstore and mass merchandise chains charge nearly uniform prices across stores despite wide variation in consumer demographics and competition demand estimates reveal substantial within chain variation in price elasticities and suggest that the median chain sacrifices 16 million of annual profit relative to a benchmark of optimal prices in contrast differences in average prices between chains are broadly consistent with the optimal benchmark we discuss a range of explanations for nearly uniform pricing highlighting managerial inertia and brand image concerns as mechanisms frequently mentioned by industry participants relative to our optimal benchmark uniform pricing may significantly increase the prices paid by poorer households relative to the rich dampen the response of prices to local economic shocks alter the analysis of mergers in antitrust and shift the incidence of intranational trade costs

investigating purchase incidence brand choice and purchase quantity decisions of households we develop a comprehensive utility maximizing framework to study the impact of marketing variables on the category purchase brand choice and purchase quantity decisions of households for frequently purchased packaged goods the model allows for dependence among the three decisions while ensuring that these decisions provide in combination the greatest possible utility to the household by accounting for variations in reservation prices and intrinsic brand preferences across households the modeling framework explicitly captures the effects of unobserved heterogeneity on all three purchase decisions the principal empirical finding from analyzing the a c nielsen data for the yogurt product category is that the substantive implications for the effects of marketing variables are sensitive to whether these effects are determined conditional or unconditional on a product category purchase our results show that reservation prices and intrinsic brand preferences vary across households and not accounting for these variations in the estimation could lead to biased estimates for the coefficients of the marketing variables a comparison of our results to those obtained from a nested logit model of purchase incidence and brand choice reveals that our proposed model performs better using both a formal statistical test as well as the criterion of predictive validity in a holdout sample of panelists further the purchase quantity model compares favorably with two alternative models of quantity choice in the validation sample

energy use and appliance ownership in ireland abstract this paper examines household energy use and appliance ownership in ireland logit regression analyses on a large micro dataset reveal how household characteristics can help explain the ownership of energy using appliances using ols regression models we explore the factors affecting residential energy demand conditional on appliance ownership results suggest that the methods of space and water heating employed by a household are even more important than electrical appliances in explaining domestic energy usage however the stock of appliances must be included in such models so that results will not be biased the methods employed in this paper can be easily adopted for studies of household energy use in other countries where household expenditure survey data are available

the role of spatial demand on outlet location and pricing abstract in this article the authors consider the problem of outlet pricing and location in the context of unobserved spatial demand the analysis constitutes a scenario in which capacity constrained firms set prices conditional on their location demand and costs this enables firms to develop maps of latent demand patterns across the market in which they compete the analysis further suggests locations for additional outlets and the resultant equilibrium effect on profits and prices using bayesian spatial statistics the authors apply their model to seven years of data on apartment location and prices in roanoke va they find that spatial covariation in demand is material in outlet choice the 95 spatial decay in demand extends 3 6 miles in a region that measures slightly more than 9 5 miles they also find that capacity constraints can cost complexes upward of 100 per apartment as they predict price elasticities and costs are biased downward when spatial covariance in demand is ignored costs a

an econometric model of location and pricing in the gasoline market abstract the authors propose an econometric model of both the geographic locations of gasoline retailers in singapore and price competition among retailers conditional on their geographic locations although market demand for gasoline is not observed the authors are able to infer the effects of such demand from stations locations and pricing decisions using available data on local market level demographics using the proposed location model which is based on the assumption of social welfare maximization by a policy planner the authors find that local potential gasoline demand depends positively on the local demographic characteristics of the neighborhood using the proposed pricing model which is based on the assumption of bertrand competition between retail chains the authors find that retail margins for gasoline are approximately 21 the authors also find that consumers are willing to travel up to a mile for a savings of 03 per liter using the estimates of the proposed econometric model the a

centrality and pricing in spatially differentiated markets the case of gasoline we highlight the importance of centrality for pricing firms characterized by a more central position in a spatial network are more powerful in terms of having a stronger impact on their competitors prices and on equilibrium prices these propositions are derived from a simple theoretical model and investigated empirically for the retail gasoline market of vienna austria we compute a measure of network centrality based on the locations of gasoline stations in the road network results from a spatial autoregressive model show that prices of gasoline stations are more strongly correlated with prices of central competitors

the cost of business cycles under endogenous growth robert e lucas jr argued that the welfare gains from reducing aggregate consumption volatility are negligible subsequent work that revisited his calculation continued to find small welfare benefits further reinforcing the perception that business cycles do not matter this paper argues instead that fluctuations can affect welfare by affecting the growth rate of consumption i show that fluctuations can reduce growth starting from a given initial consumption which can imply substantial welfare effects as lucas himself observed empirical evidence suggests the welfare effects are likely to be substantial about two orders of magnitude greater than lucas original estimates

the decomposition of promotional response an empirical generalization price promotions are used extensively in marketing for one simple reason consumers respond the sales increase for a brand on promotion could be due to consumers accelerating their purchases i e buying earlier than usual and or buying more than usual and or consumers switching their choice from other brands purchase acceleration and brand switching relate to the primary demand and secondary demand effects of a promotion gupta 1988 captures these effects in a single model and decomposes a brand s total price elasticity into these components he reports for the coffee product category that the main impact of a price promotion is on brand choice 84 and that there is a smaller impact on purchase incidence 14 and stockpiling 2 in other words the majority of the effect of a promotion is at the secondary level 84 and there is a relatively small primary demand effect 16 this paper reports the decomposition of total price elasticity for 173 brands across 13 different product categories on average we find that 25 of the elasticity is due to primary demand expansion i e purchase acceleration and 75 to secondary demand effects or brand switching thus while gupta s finding that the majority of promotional response stems from brand switching is supported the average magnitude of the effect appears to be smaller than first thought more important there is ample evidence that promotions have a significant primary demand effect the relative emphasis on purchase acceleration and brand switching varies systematically across categories and the second goal of the paper is to explain this variation as a function of exogeneous covariates in doing this we recognize that promotional response is the consumer s reaction to a price promotion and therefore develop a framework for understanding variability in promotional response that is based on the consumer s perspective of the benefits from a price promotion these benefits are posited to be a function of i category specific factors ii brand specific factors and iii consumer characteristics the framework is formalized as a generalized least squares meta analysis in which the brand s price elasticity is the dependent variable several interesting results emerge from this analysis category specific factors brand specific factors and consumer demographics explain a significant amount of the variance in promotional response for a brand at both the primary and secondary demand levels category specific factors have greater influence on variability in promotional response and its decomposition than do brand specific factors there are several instances where exogenous variables do not affect total elasticities yet significantly affect individual components of total elasticity in fact the lack of a significant relationship between the variables and total elasticity is often due to offsetting effects within two or more of the three behavioral components of elasticity this is particularly true for brand specific factors which typically have no effect on total elasticity yet have important effects on the individual behaviors there is some evidence to suggest that not all promotion related increases in primary demand are due to forward buying in some cases promotions appear to increase consumption we use these results to illustrate how category and brand specific factors work to drive primary and secondary demand elasticities in different directions in short this paper offers an empirical generalization of a key finding on promotional response how elasticities decompose across brand choice purchase incidence and stockpiling and new insights into factors that explain variance in promotional response these findings are likely to be of interest to researchers who are concerned with theory development and the generalizability of marketing phenomena and to managers who plan promotion campaigns

the economics of cross border travel abstract we model the decision to travel across an international border as a trade off between benefits derived from buying a range of products at lower prices and the costs of travel we estimate the model using microdata on canada united states travel price differences motivate cross border travel a 10 home appreciation raises the propensity to cross by 8 to 26 the larger elasticity arises when the home currency is strong a result predicted by the model distance to the border strongly inhibits crossings with an implied cost of 87 cents per mile geographic differences can partially explain why american travel is less exchange rate responsive

price dispersion and accessibility a case study of fast food this study examines spatial variation in the price and accessibility of fast food across a major urban area we use novel data on the price of a representative fast food meal and the location of fast food restaurants belonging to one of three major chains in the district of columbia and its surrounding suburbs these data are used to test a structural model of spatial competition the results of this study are easily interpreted and compared with a past analysis we find that spatial differences in costs and demand conditions drive variation in the number of firms operating in a market which in turn affects prices