rational household labor supply traditionally household behavior is derived from the maximization of a unique utility function in this paper we propose an alternative approach in which the household is modeled as a two member collectivity taking pareto efficient decisions the consequences of this assumption are analyzed in a three good model in which only total consumption and each member s labor supply are observable if the agents are assumed egoistic i e they are only concerned with their own leisure and consumption it is possible to derive falsifiable conditions upon household labor supplies from both a parametric and nonparametric viewpoint if alternatively agents are altruistic restrictions obtain in the nonparametric context useful interpretation stems from the comparison with the characterization of aggregate demand for a private good economy

the augmented latent class model incorporating additional heterogeneity in the latent class model for panel data abstract marketing researchers have actively sought to account for the heterogeneity in households preferences and responses to marketing mix elements e g price promotion when analyzing scanner panel data this is because not doing so biases response coefficient estimates that can potentially alter the conclusions drawn from such analyses in this article the authors present an extension to the latent class model lcm that accounts for additional heterogeneity by allowing households preferences to be a continuous mixture of segment level preferences the authors show how their model generalizes the lcm by the mere addition of s 1 parameters where s refers to the number of segments because a limitation of the traditional lcm is that it does not adequately account for heterogeneity in responses across households the authors model mitigates this criticism leveled at the lcm they then compare their model with the traditional lcm and the equivalent continuous mixture random effects models in

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

government as fund of fund and vc fund sponsors effect on employment in portfolio companies governments around the world have set up fund of fund programs to increase the supply of venture capital financing to young growth oriented firms in these programs a government fund of fund acts as limited partner in a venture capital fund the venture capital investment process is hereby delegated to external investors which were selected by the government fund of fund we investigate employment growth in 108 portfolio companies that benefited from the arkimedes fund of fund in flanders accounting for the heterogeneity in the types of venture capital investors managing hybrid funds and the associated goal diversity and resource endowments we find that portfolio companies backed by hybrid independent venture capital funds show greater employment growth than those backed by hybrid captive or hybrid government venture capital funds this finding is relevant because it indicates that the financial objectives of hybrid independent venture capital funds are highly compatible with the government s objective of employment growth as providing companies with superior monitoring and value adding services with the objective of realizing a successful exit creates employment in the process

on the recoverability of choice behaviors with random coefficients choice models in the context of limited data and unobserved effects random coefficients choice models are seeing widespread adoption in marketing research partly because of their ability to generate household level parameter estimates with limited data however the power of such models may tempt researchers to trust that they continue to produce reasonable estimates when in fact either model misspecification or insufficient data limits the models ability to recover household level parameters successfully if household level choice behaviors are not recovered successfully managerial decisions such as marketing mix planning and targeting direct marketing segmentation and forecasting may not produce the desired results this study addresses the following questions first can random coefficients choice models correctly identify markets characterized by preference and response heterogeneity state dependence the use of alternative decision heuristics that result in reduced choice sets and combinations of these effects if so how much data is required and is this realistic given the size of data sets typically used in marketing analyses which model selection criteria should be used to identify these markets when there is spurious market identification which parameters contribute to the spurious result an extensive simulation experiment is conducted wherein random coefficients logit models with varying specifications of parameter heterogeneity state dependence effects and choice set heterogeneity are applied to 128 experimental conditions the results show which types of markets can be identified reliably and which cannot based on the results of the simulation the authors develop a model selection heuristic that identifies the correct market in 81 of the experimental conditions in contrast strict application of the best model selection criterion alone results in correct market identification in at most 34 of experimental conditions interestingly we find that the amount of data number of households or number of purchases per household does not affect our ability to identify the correct market type with this heuristic so there is a good chance of identifying the correct market type even when little data is available

a fuzzy set model of search and consideration with an application to an online market several two stage choice models consideration stage plus choice stage have been proposed in the marketing literature we extend this literature by developing a more general model that incorporates how consumer search influences the degree to which they consider various brands to test the validity and value of our model we operationalized it with data obtained from peapod an online grocer where we tracked consumers search processes we demonstrate that our model performs better than competing models on all the key criteria new choice models such as the ones proposed here are necessary for deriving managerially relevant understanding of choice behavior in online markets our empirical results suggest that consumers search both their internal memory and external information at the store to determine the degree to which they consider various brands consumers are also heterogeneous with respect to their capability to process external information for some consumers external information search dramatically increases the degree to which they consider various brands but for others it has little impact on their consideration we also find that certain features e g personal lists reduce consideration set sizes whereas other features e g sort increase consideration set sizes

a random coefficients logit brand choice model applied to panel data a random coefficients logit model that allows for unobserved heterogeneity in brand preferences and in the responses to marketing variables is empirically investigated using household level panel data the unknown underlying distribution of unobserved heterogeneity is approximated by a discrete distribution the results reveal that there is significant unobserved heterogeneity across households and that ignoring its effects results in a downward bias in the parameter estimates of the marketing variables it is therefore important to account for heterogeneity in both preferences and responses in the absence of any a priori knowledge about the nature of heterogeneity across households

investigating heterogeneity in brand preferences in logit models for panel data in analyzing panel data the issue of heterogeneity across households is an important consideration if heterogeneity is present but is ignored in the analysis it will result in biased and inconsi

do husbands and wives pool their resources evidence from the united kingdom child benefit common preference models of family behavior imply income pooling a restriction on family demand functions such that only the sum of husband s income and wife s income affects the allocation of goods and time testing the pooling hypothesis is difficult because most family income sources are not exogenous to the allocations being analyzed in this paper we present an alternative test based on a natural experiment a policy change in the united kingdom that transferred a substantial child allowance to wives in the late 1970s using family expenditure survey data we find strong evidence that a shift toward greater expenditures on women s clothing and children s clothing relative to men s clothing coincided with this income redistribution

removing heterogeneity bias from logit model estimation this paper introduces a new estimation procedure for the logit model that is an extension of a conditional estimation procedure developed by chamberlain chamberlain g 1978 on the use of panel data working paper harvard university 1 52 chamberlain g 1980 analysis of covariance with qualitative data rev econom stud 47 225 238 the method eliminates heterogeneity bias which is present in the estimates produced by traditional estimation techniques it improves the goodness of fit and explanatory power of these models while incorporating purchase event feedback

models of health plan choice this paper considers alternative approaches to accounting for consumer heterogeneity in econometric models of health plan choice in particular we compare and contrast approaches used by health economists and marketing researchers to explicitly allow for consumer heterogeneity in assessment of plan provider quality and characteristics as a result we are able to identify conditions under which approaches utilized by health economists are preferred over those utilized by marketing researchers and vice versa for example we find that in the absence of data on prior year choice which is often the case of models estimated in the health economics literature it would be valuable to estimate random coefficient models which have not been estimated in such works and in the presence of data on prior year choice which is often the case of models estimated in the marketing literature a model wherein consumer characteristics simply interact with plan specific constants and premium and which has not been estimated in that literature offers better fits than random coefficient semi parametric random coefficient and latent class models which have been previously estimated in that literature the model offers important managerial insights useful for targeting benefits of various plans to different customer segments

a cournot nash model of family decision making this paper models a two person family each family member is utility maximising yet family members are interdependent because of caring and public goods within the family the two family members interdependent utility maximisation problems are first solved using a non cooperative or cournot nash game theoretic framework the cournot nash equilibrium is then used as a threat point in a bargaining game the paper provides a rigorous derivation of the properties of household demands a full analysis of the determinants of intra household resource allocation including the effect of varying household bargaining power and consideration of policy implications

nash bargained household decisions a rejoinder this note is a rejoinder to marjorie b mcelroy and mary jean horney s 1990 reply it discusses the scope of mcelroy and horney s previous results and the possibility of estimating a nash bargained model from independent observation of threat points copyright 1991 by economics department of the university of pennsylvania and the osaka university institute of social and economic research association

the demand for a malaria vaccine evidence from ethiopia this study measures the monetary value households place on preventing malaria in tigray ethiopia we estimate a household demand function for a hypothetical malaria vaccine and compute the value of preventing malaria as the household s maximum willingness to pay to provide vaccines for all family members this is contrasted with the traditional costs of illness medical costs and lost productivity our results indicate that the value of preventing malaria with vaccines is about us 36 per household per year or about 15 of imputed annual household income this is on average about twice the expected household cost of illness

do husbands and wives make the same choices evidence from northern ethiopia abstract this paper uses contingent valuation to test the null hypothesis that husbands and wives do not make the same household resource allocation decisions this is a new test of the common preference model

infrastructure provision gender and poverty in indian slums we examine the relationship between infrastructure provision and poverty alleviation by analyzing 500 interviews conducted in serviced and non serviced slums in india using a mixed method approach of qualitative analysis and regression modeling we find that infrastructure was associated with a 66 increase in education among females service provision increased literacy by 62 enhanced income by 36 and reduced health costs by 26 evidence suggests that a gender sensitive consideration of infrastructure is necessary and that a one size fits all approach will not suffice we provide evidence that infrastructure investment is critical for well being of slum dwellers and women in particular

parameter bias from unobserved effects in the multinomial logit model of consumer choice abstract over the past two decades validation of choice models has focused on predictive validity rather than parameter bias in real world validation of choice models true parameter values are unknown so examination of parameter bias is not possible in contrast the main focus of this study is parameter bias in simulated scanner panel choice data with known parameter values study of parameter bias enables the assessment of a fundamental issue not addressed in the choice modeling literature the extent to which the logit choice model is capable of distinguishing unobserved effects that give rise to persistence in observed choices e g heterogeneity and state dependence although econometric theory provides some information about the causes of bias the extent of such bias in typical scanner data applications remains unclear the authors present an extensive simulation study that provides information on the extent of bias resulting from the misspecification of four unobserved effects that receive fr

improving identification of demand side obstacles to schooling findings from revealed and stated preference models in two ssa countries summary efforts to expand primary education have shifted from a policy focus on supply building schools to demand side policies human capital theory posits that common demand side obstacles are high direct costs opportunity costs and low perceived benefits constructs that are difficult to measure empirically this study compares strategies to estimate obstacles to schooling through revealed and stated preferences using similar household survey data from two sub saharan african countries the typical determinants of schooling model underestimates demand side obstacles and gender differences and additional useful information for theory testing and policy is derived from analyzing parents stated preferences as well

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

group decision making with uncertain outcomes unpacking child parent choice of the high school track predicting group decisions under uncertainty requires disentangling individual members utilities over the consequences of choice their expectations for uncertain outcomes and their choice process as a group i estimate simple bayesian models of child parent choice of high school track with subjective risk and unilateral or bilateral nonstrategic decisions by combining families actual choices with novel survey information about children s and parents subjective probabilities over choice consequences their individually preferred choices and their decision roles a set of policy counterfactuals confirms the importance of introducing the beliefs and decision roles of individual members in models and policy analysis of group decisions

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

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

testing among models of intrahousehold resource allocation households are the locus for much economic decision making households function as producers investors in human and physical capital managers of risk and as consumers many resources are allocated within households and the effects of many policies depend on the dynamics of household decision making for example household decisions about allocating food among individual household members may determine who benefits from programs to improve health nutrition or welfare in many microeconomic studies the household is treated as an individual for analytical purposes in other words it is assumed that a household acts as a single entity with a single set of preferences recently however a number of economists have recognized that households are sites of conflict as well as cooperation and have begun to use new classes of models to explain how resources are allocated among household members this literature has especially improved our understanding of households in which income is not completely pooled in such a setting standard household models may offer misleading conclusions about the effects of policies on individual household members i this paper goes beyond recent surveys of intrahousehold issue by explicitly examining the assumptions predictions and empirical implications of different intrahousehold models in particular it analyzes empirical tests that distinguish among competing models by clarifying the similarities and differences among alternative models this paper also clarifies what has actually been demonstrated and what has not been demonstrated by previous empirical studies in so doing the paper points to specific topics in need of further research this paper is organized as follows section 2 analyzes the assumptions and predictions of each of the five main classes of intrahousehold resource allocation models section 3 describes empirical tests of these assumptions along with an analysis of empirical work that has been generated sections 4 and 5 discuss the questions that remain unanswered and directions for future research

a framework for investigating habits the hand of the past and heterogeneity in dynamic brand choice in this paper we develop a general class of dynamic brand choice models called lightning bolt lb models which are consistent with the theory of random utility maximization of consumer choice behavior the underlying random utility process is markov and the inter temporal evolution of the utility maximizing brand choice process is also markov the models permit parsimonious parameterizations of the random utility process in brand choices with the resulting switching probabilities being functionally related to explanatory variables the model allows for structural state dependence feedback habit persistence inertia and unobserved heterogeneity the theoretical development shows that several well known stochastic brand choice models can be deduced from random utility maximization theory from a managerial perspective the usefulness of the proposed model stems from its ability to separate out the effects of habits state dependence and heterogeneity strong state dependence effects imply incentives for inducing trial of a brand e g product sampling in contrast with state dependence a strong habit persistence effect may be indicative of buyer behavior where inducement of trial of a different brand may not be sufficient to maintain a sustained defection of the consumer from the habitually purchased brand to the trial brand failure to distinguish between these two effects has important implications for example a model that only accounts for state dependence effects would in the presence of only habit persistence incorrectly attribute it to state dependence based on this the manager could decide to embark on an expensive sampling program that might prove ineffective due to the absence of state dependence it is also important to distinguish between the effects of unobserved heterogeneity and state dependence in the absence of true state dependence failing to account for unobservable variations across households such as differences in price sensitivities results in the temporally persistent unobservable elements showing up as state dependence in the model hence a manager may incorrectly opt for sampling as the appropriate marketing action whereas a couponing or price promotion strategy should have been preferred we estimate the model parameters using the ac nielsen household scanner panel data set on catsup purchases further we investigate empirical techniques for overcoming the initial conditions problem that affects many dynamic models of brand choice through simulation analysis using the estimated parameters we show that the calculated profitability of a promotion must take into account the multi period impact due to state dependence further we demonstrate how ignoring heterogeneity can result in spurious state dependence thereby making marketing tactics such as product sampling appear far more attractive than they actually are specifically the model that accounts only for habit persistence and state dependence effects predicts a share increase of 2 4 points through sampling for one of the brands in the empirical analysis once the effects of unobserved heterogeneity are accounted for however this number drops precipitously to 0 3 while even this low number might fulfill the objectives of the brand manager it ensures that expectations are not eight times that number it is important to note that this paper is a first attempt at analyzing the three fundamental dimensions of dynamic brand choice behavior our formulation represents a reduced form approach as opposed to a structural approach other limitations of the model include our focus on time invariant choice sets extensions of the model to situations where choice sets vary over time are possible but are difficult another limitation is the dependence on multivariate extreme value distributions an alternative would be to use multivariate normal distributions i e a probit like structure which has certain useful properties a comparison of the two approaches would be useful empirical extensions of the model to allow for higher order processes and nested logit type model structures could also be fruitful explicitly incorporating variety seeking behavior in the model would further enrich the theoretical framework proposed in this paper

intra household resource allocation an inferential approach if household income is pooled and then allocated to maximize welfare then income under the control of mothers and fathers should have the same impact on demand with survey data on family health and nutrition in brazil the equality of parental income effects is rejected unearned income in the hands of a mother has a bigger effect on her family s health than income under the control of a father for child survival probabilities the effect is almost twenty times bigger the common preference or neoclassical model of the household is rejected if unearned income is measured with error and income is pooled then the ratio of maternal to paternal income effects should be the same equality of the ratios cannot be rejected there is also evidence for gender preference mothers prefer to devote resources to improving the nutritional status of their daughters fathers to sons

accounting for heterogeneity and nonstationarity in a cross sectional model of consumer purchase behavior when calibrating a brand choice model cross sectionally a measure of brand loyalty is often introduced into the utility function to account for differences in utility across households and over time one of the most widely used measures of brand loyalty proposed by guadagni and little 1983 is an exponential smoothing model of past choice behavior by the household in this study we argue that the exponential smoothing model of brand loyalty cannot properly distinguish between sources of variation in utility due to heterogeneity across households and sources of variation due to nonstationarity within household over time we introduce a new measure of brand loyalty derived from a nonstationary dirichlet multinomial choice model in which heterogeneity and nonstationarity are handled distinctly

tests of intrahousehold resource allocation using a cv framework a comparison of husbands and wives separate and joint wtp in the slums of navi mumbai india summary husbands and wives from 422 households in the slums of navi mumbai india were interviewed separately first and jointly thereafter in a contingent valuation framework to assess their individual and joint household willingness to pay wtp for malaria vaccines husbands and wives demand differed significantly when they were interviewed separately but not when they were interviewed jointly the author rejects the common preference model and unified bargaining model of intrahousehold resource allocation researchers should consider the complexity of intrahousehold decision making when they conduct stated preference surveys even in patriarchal societies

market opportunities genetic endowments and intrafamily resource distribution child survival in rural india the authors examine how intrafamily resource allocations respond to changes in economic conditions and to genetic differences in children by estimating the determinants of variations in the sex specific survival differentials of rural indian children based on standard census and household survey data they explore in particular the hypothesis that such differences are related to the relative returns to survival with households selectively allocating resources to children in response to variation in sex differences in their expected earnings opportunities as adults data are from the 1961 census and a 1971 household survey excerpt

households willingness to pay for health microinsurance and its impact on actual take up results from a field experiment in senegal abstractcommunity based health insurance schemes cbhis have been present in the region of theis senegal for many years yet despite the benefits they offer take up rates remain low this article measures the willingness to pay wtp for cbhis premiums in such a context our results highlight the role of income wealth and risk preferences as determinants of wtp we also provide an analysis of the predictive power of wtp on the actual take up of insurance following our offering of membership to a sample of 360 households results show that wtp has a positive and significant impact on actual cbhis take up

limited choice sets local price response and implied measures of price competition it is becoming increasingly evident that a consumer s brand choice decision in low involvement categories does not involve full search evaluation and comparison of price information of all brands available at point of purchase global price response the authors propose a two stage choice process in which the consumer first identifies a subset of brands within the universal set of brands called the choice set and then evaluates only those brands that are in the choice set relative to one another to select a single brand the authors find that consistent with reports of the extent of external price search of consumers response to shelf price variations is limited to the brands in the choice set local price response their results indicate that employing the assumption of global price response may lead to biased estimates of price elasticity and derived measures of clout and vulnerability to enable a managerially meaningful and useful assessment of a brand s competitive clout and vulnerability the