consumption and children abstract consumption by couples rises sharply in the beginning and falls later in life the causes of the early rise are hotly contested among the suggestions are rule of thumb behavior demographics liquidity constraints the precautionary motive and nonseparabilities between consumption and labor supply we develop two tests of the extreme hypothesis that only changes in family structure matter we estimate effects of the numbers and ages of children on consumption these estimates allow us to rationalize all of the increase in consumption without recourse to any of the causal mechanisms our estimates can be interpreted either as giving upper bounds on the effects of children or as evidence that the other causes are not important

the demand for food products an analysis of interpurchase times and purchased quantities in this paper we study household purchase behaviour of storable food products an inventory model is developed in which the household chooses an optimal stock level of the product storage of the product is costly there is a fixed cost per purchase occasion and the market price is sometimes discounted because of price promotions we show that the optimal purchase policy is an s s policy the model is used to derive predictions on the correlations between interpurchase times and purchased quantities on the one hand and prices on the other these predictions are empirically verified using consumer panel data

intra household allocation of time and money across siblings abstract how work and consumption are allocated within the family has important consequences for the welfare of individual household members using data on time use and assignable goods for individual siblings across india peru ethiopia and vietnam aged 5 17 i show that there is substantial within sibling variation in leisure as well as consumption allocations i then test whether there is evidence for favoritism in the joint allocation of leisure and consumption toward a particular gender i find that boys with a younger sister have substantially more relative leisure compared to girls with a younger sister in all four countries consumption allocations are relatively higher for older siblings of mixed gender sibling pairs irrespective of the sex of the child i reject that favoritism in consumption equals favoritism in leisure in three of the four countries finally i show suggestive evidence on the role of reward and preferences for allocations of time and money in the household

efficient intra household allocations and distribution factors implications and identification this paper provides an exhaustive characterization of testability and identifiability issues in the collective framework in the absence of price variation it thus provides a theoretical underpinning for a number of empirical works that have been developed recently we first provide a simple and general test of the pareto efficiency hypothesis which is consistent with all possible assumptions on the private or public nature of goods all possible consumption externalities between household members and all types of interdependent individual preferences and domestic production technology the test is proved to be necessary and sufficient we then provide conditions for the identification of the sharing rule and the engel curves of individual household members for a variety of different observational schemes

degree of scale economies and congestion a unified dea approach abstract there are increasing concerns about how increase in congestion can adversely affect output as well as about the relative benefit cost ratio or return on investment associated with alternative projects or policies to address those problems regardless of what policy strategies are used to address congestion the fact remains that we cannot assess the economic benefits of congestion reduction strategies unless we are able to measure the extent to which congestion affects productivity in general and scale economies in particular this paper makes a novel attempt to suggest a method in a non parametric framework to measure scale elasticity in production in the presence of congestion

multi factor performance measure model with an application to fortune 500 companies abstract the paper develops tools for reconciling diverse measures which characterize the financial performance of the fortune 500 companies the technology of data envelopment analysis dea is employed to determine a multi factor financial performance model which inherently recognizes tradeoffs among various financial measures this study offers an alternative perspective and characterization on the performance of the fortune 500 companies it is shown that the top ranked companies by revenue do not necessarily have top ranked performance viewed as being multidimensional only about 3 companies were operating on the best practice frontier substantial technical and scale inefficiencies are found decreasing returns to scale drs are uncovered among the relatively large revenue top ranked companies the study of congestion shows that a reduction in current levels of employees assets and equity may actually increase revenue and profit levels factor specific measures within the framework of multidimensional measure are developed to further study the performance of companies and industries the performance of best practice frontier companies is analyzed by constructing reference share measures which indicate the role each frontier company plays in evaluating non frontier companies finally the reliability of the best practice frontier is examined

one sided elasticities and technical efficiency in multi output production a theoretical framework one of the concepts that have sparked considerable interest in the theory of production and efficiency is that of returns to scale rts economics researchers typically define rts using the notion of elasticity considerable research activity on rts has also been observed by management science researchers who utilize the methodology of data envelopment analysis dea to gain insights on rts in this paper we present a theoretical framework that integrates existing economics and management science literature on rts and provides a solid foundation for research work in this area our framework defines discusses and proposes an approach to measure input and output oriented elasticities and one sided rts we demonstrate how the work done in dea is a special case of our framework and discuss the conditions under which the resulting two left hand and the two right hand elasticities can be equal future research directions are also discussed

some models for estimating technical and scale inefficiencies in data envelopment analysis in management contexts mathematical programming is usually used to evaluate a collection of possible alternative courses of action en route to selecting one which is best in this capacity mathematical programming serves as a planning aid to management data envelopment analysis reverses this role and employs mathematical programming to obtain ex post facto evaluations of the relative efficiency of management accomplishments however they may have been planned or executed mathematical programming is thereby extended for use as a tool for control and evaluation of past accomplishments as well as a tool to aid in planning future activities the ccr ratio form introduced by charnes cooper and rhodes as part of their data envelopment analysis approach comprehends both technical and scale inefficiencies via the optimal value of the ratio form as obtained directly from the data without requiring a priori specification of weights and or explicit delineation of assumed functional forms of relations between inputs and outputs a separation into technical and scale efficiencies is accomplished by the methods developed in this paper without altering the latter conditions for use of dea directly on observational data technical inefficiencies are identified with failures to achieve best possible output levels and or usage of excessive amounts of inputs methods for identifying and correcting the magnitudes of these inefficiencies as supplied in prior work are illustrated in the present paper a new separate variable is introduced which makes it possible to determine whether operations were conducted in regions of increasing constant or decreasing returns to scale in multiple input and multiple output situations the results are discussed and related not only to classical single output economics but also to more modern versions of economics which are identified with contestable market theories

additive efficiency decomposition in two stage dea kao and hwang 2008 kao c hwang s n 2008 efficiency decomposition in two stage data envelopment analysis an application to non life insurance companies in taiwan european journal of operational research 185 1 418 429 develop a data envelopment analysis dea approach for measuring efficiency of decision processes which can be divided into two stages the first stage uses inputs to generate outputs which become the inputs to the second stage the first stage outputs are referred to as intermediate measures the second stage then uses these intermediate measures to produce outputs kao and huang represent the efficiency of the overall process as the product of the efficiencies of the two stages a major limitation of this model is its applicability to only constant returns to scale crs situations the current paper develops an additive efficiency decomposition approach wherein the overall efficiency is expressed as a weighted sum of the efficiencies of the individual stages this approach can be applied under both crs and variable returns to scale vrs assumptions the case of taiwanese non life insurance companies is revisited using this newly developed approach

evaluating the environmental efficiency of a two stage system with undesired outputs by a dea approach an interest preference perspective abstract in this study we propose a new dea model to evaluate the environmental efficiency of a two stage system with undesired outputs the two stage system consists of two parts a production subsystem and a pollution treatment subsystem different choices for allocating resources to each subsystem represent different interest preferences of decision makers with the production subsystem corresponding to short term interests and the pollution treatment subsystem corresponding to long term interests based on a proposed new dea model three theorems are established to show the relationships between the interest preference parameter and the change of efficiency scores an empirical analysis was conducted using the data of 30 provinces and municipalities eight regions of china the empirical results show the effectiveness of the proposed model and the usefulness of the theorems for the real world data optimal efficiency rankings of the eight regions are provided and the efficiency rankings truly reflect the current environmental situations of these eight regions to examine the economic impacts and facilitate sustainable development we also analyze the shadow prices for undesired outputs corresponding implications of the empirical analysis are also discussed

the influence of household composition on household expenditure patterns theory and spanish evidence a concept of demographic separability is proposed that formalizes the notion that there are groups of goods adult goods that have little or no relationship to specific classes of household demographics the numbers or ages of children that there exist adult goods demographically separable from children is a necessary but not sufficient condition for the validity of rothbarth s method for measuring child costs we propose two different methods for testing demographic separability and present results from a 1981 survey of spain the econometric evidence is in fair agreement with the theoretical presuppositions

decomposing technical efficiency and scale elasticity in two stage network dea abstract the constant returns to scale assumption maintained by neoclassical theorists for justifying the black box structure of production technology in long run does not necessarily allow one to infer that there are no scale benefits available in its sub technologies most of real life production technologies are multi stage in nature and the sources of increasing returns lie in the sub technologies it is therefore imperative to estimate the scale economies of a firm not only for the network technology but also for the sub technologies to accomplish this two approaches are suggested in this contribution based on the premise concerning whether a network technology construct considers allocative inefficiency the first approach which is ours makes use of a single network technology for two interdependent sub technologies the second approach which is due to kao and hwang 2011 however assumes complete allocative efficiency by considering two independent sub technology frontiers one for each sub technology the distinction between these two approaches is important from a policy point of view since the network efficiencies revealed from these two approaches have distinctive causative factors that do not permit them to be used interchangeably

on measuring child costs with applications to poor countries the theoretical basis for measuring child costs is discussed and detailed consideration is given to two straightforward procedures for calculation engel s food share method and rothbarth s adult good method each of these methods embodies different definitions of child costs so that the same empirical evidence can generate quite different estimates depending on the method used it is shown that true costs are generally overstated by engel s method and understated by rothbarth s procedure although the latter unlike the former can provide a sensible starting point for cost measurement our estimates from sri lankan and indonesian data suggest that children cost their parents about 30 40 percent of what they spend on themselves

modeling food consumption decisions as a two step process this article evaluates the suitability of tobit analysis of food consumption patterns by comparing results generated by a tobit model and a modification with a two step decision process two samples of adult women were selected from the 1977 78 nationwide food consumption survey and the 1985 continuing survey of food intakes by individuals results show strong statistical evidence for questioning tobit analysis in examining food consumption decisions determinants of the decision to consume food within a particular food group often differ from the determinants of how much to consume particularly for more highly defined food groupings analysis of u s food consumption patterns and their dietary aspects with respect to consumer behavior has a long history traditionally ordinary least squares ols or some variant has been used in many studies where ols was not appropriate the tobit method was applied tobit allows for a discrete mass point for observations as well as a continuous range of values for the dependent variable this nonlinear method has yielded good results in a variety of studies e g mccracken and brandt lane and devaney and fraker this article examines the suitability of the tobit method for analysis of food consumption patterns the tobit method assumes that the decision to consume a given food item is the same as the decision about the amount of the food to consume ignoring the two step nature of the decision process may hamper understanding of true behavioral patterns lead to erroneous conclusions and generate incorrect policy recommendations this article compares results generated by a tobit model and a modification with a two step decision process in the next section the statistical methods used to test whether food consumption is a one or two step decision process are described the following sections discuss the variables and data present the results and consider the conclusions

carbon tax simulations using a household demand model abstract the main objective of this paper is to analyse consumer response and welfare effects due to changes in energy or environmental policy to achieve this objective we formulate and estimate an econometric model for non durable consumer demand in sweden that utilises micro and macro data in the simulations we consider two revenue neutral scenarios that both imply a doubling of the co2 tax one that returns the revenues in the form of a lower vat and one that subsidise public transport one conclusion from the simulations is that the co2 tax has regional distribution effects in the sense that household living in sparsely populated areas carry a larger share of the tax burden

frontier projection and efficiency decomposition in two stage processes with slacks based measures abstract in the prior literature on measuring the efficiency of two stage processes there are both radial and non radial methods of efficiency measurement in some cases non radial methods which allow all inputs intermediate measures and outputs to change non proportionally are more appropriate than radial methods but they do not ensure stage efficiency or allow for the efficiency decomposition of two stage processes based on slacks based measure sbm this paper develops both envelopment based and multiplier based models to obtain simultaneously both the frontier projection and the efficiency decomposition specifically we propose the variable intermediate measures sbm vsbm model to evaluate the system efficiency of two stage processes and consider the following three properties of the vsbm model 1 we derive the efficient dea frontier projection based on the vsbm model 2 we address potential conflicts in this model with respect to the intermediate measures 3 we prove that the system inefficiency is equivalent to the sum of inefficiencies of the two stages furthermore we derive the efficiency decomposition of two stage processes based on the dual of the vsbm model finally we apply our proposed approach to real data of us commercial banks and extend our approach to settings in which the assumption of variable returns to scale vrs holds or there are more general network structures

global and local scale characteristics in convex and nonconvex nonparametric technologies a first empirical exploration the purpose of this contribution is to empirically implement and supplement the proposals made by podinovski 2004b to explore the nature of both global and local returns to scale in nonconvex nonparametric technologies in particular we both propose a simplified method to compute the global returns to scale and employ some secondary data sets to investigate the frequency of the special case of global sub constant returns to scale furthermore when determining global returns to scale using both convex and nonconvex technologies we verify how often the resulting information is concordant or conflicting finally besides comparing the fdh and dea evolution of ray average productivity for some typical individual observations we introduce in the literature two original methods for the determination of local returns to scale in nonconvex technologies

a double hurdle approach to modelling tobacco consumption in italy this article analyzes the determinants of tobacco expenditures for a sample of italian households a box cox double hurdle model adjusted for heteroscedasticity is estimated to account for separate individual decisions concerning smoking participation and tobacco consumption and to correct for nonnormality in the bivariate distribution of the error terms nested univariate and bivariate models are found to be excessively restrictive supporting the adequacy of a generalized specification estimation results show that consumption decisions are significantly affected by income and demographic characteristics in particular income positively impacts tobacco expenditure while participation probability substantially declines as age increases the existence of significant gender differences in both smoking participation and tobacco consumption patterns is found while high education and white collar occupation reduces the likelihood to smoke and tobacco expenditure levels single adult households have a lower

marginal values and returns to scale for nonparametric production frontiers we present a unifying linear programming approach to the calculation of various directional derivatives for a very large class of production frontiers of data envelopment analysis dea special cases of this include different marginal rates the scale elasticity and a spectrum of partial and mixed elasticity measures our development applies to any polyhedral production technology including to name a few the conventional variable and constant returns to scale dea technologies their extensions with weight restrictions technologies with weakly disposable undesirable outputs and network dea models furthermore our development provides a general method for characterization of returns to scale rts in any polyhedral technology the new approach effectively removes the need to develop bespoke models for the rts characterization and calculation of marginal rates and elasticity measures for each particular technology

estimating consumption from expenditure data abstract most studies of distributional issues have focused on the distribution of income but the income information usually available suffers from well known deficiencies this paper explores an alternative approach to distributional analysis based instead on expenditure data in many countries including the united kingdom available household budget data provides information on expenditures only over a short period the problems that consequently arise in interpreting data of this sort are emphasised a general specification for the stochastic structure of expenditure data is presented and a procedure for estimating participant households underlying consumption from their observed expenditures developed and discussed

a test of the habit formation hypothesis using household data numerous studies have confirmed the importance of habit formation as represented by a lagged dependent variable in demand analysis although all work to date has been based on aggregate time series data this study uses household level bls interview panel data to test the habit hypothesis an interrelated demand system for seventeen goods is estimated from cross section data and compared with a similar system based on time series data the results show that the habit component is significantly different between the two data sets and much smaller in the cross section data habit effects while not as large in cross section data as time series are still highly significant several explanations are offered concerning why the two sets of estimates differ copyright 1991 by mit press

public vs private demand for covering long term care expenditures this article studies the determinants of the willingness to pay wtp for long term care ltc insurance coverage two alternatives are considered one compulsory financed through taxes the other purchased on a voluntary basis and paid through a premium wtp was elicited through open ended contingent valuation within a survey conducted in the italian region emilia romagna about ltc population needs we model information on individual wtp as a two stage process where respondents first establish their interest for ltc cover then state their wtp results show that interest and wtp are influenced by different variables and that differences arise also between the wtp for public and private coverage

fuel tourism in border regions the case of switzerland this paper explores the issue of fuel tourism in switzerland for the period 1985 1997 a panel data model for the border regions of switzerland italy france and germany is estimated the results show a significant impact of the gasoline price differential on demand suggesting that a decrease of 10 in the swiss gasoline price leads to an increase in demand in the border areas of nearly 17 5 it is shown that fuel tourism accounted for about 9 of overall gasoline sales in the three regions during the period 1985 1997 and that the recently proposed swiss co2 tax might given current conditions eliminate net fuel tourism

recovering individual preferences for non market goods a collective travel cost model traditional recreation demand models do not make a distinction between a household and an individual as the reference decision making unit thus assuming that a family maximizes a single utility function even if the family consists of different individuals such models ignore the possibility of family members divergent preferences for non market goods this study proposes a novel approach the collective travel cost model ctcm to eliciting individual preferences for a non market good such as a recreation site by using revealed preference data this approach accounts for the intra household resource allocation and the role of each household member s preferences we show that the collective travel cost model can be applied to estimating a recreation demand model that yields individual welfare estimates appropriate for policy analysis of non market goods such as the willingness to pay to access a recreation site we find that how resources are distributed within the household reflects significant differences in welfare measures

network dea pitfalls divisional efficiency and frontier projection under general network structures abstract data envelopment analysis dea is a method for measuring the efficiency of peer decision making units dmus recently network dea models been developed to examine the efficiency of dmus with internal structures the internal network structures range from a simple two stage process to a complex system where multiple divisions are linked together with intermediate measures in general there are two types of network dea models one is developed under the standard multiplier dea models based upon the dea ratio efficiency and the other under the envelopment dea models based upon production possibility sets while the multiplier and envelopment dea models are dual models and equivalent under the standard dea such is not necessarily true for the two types of network dea models pitfalls in network dea are discussed with respect to the determination of divisional efficiency frontier type and projections we point out that the envelopment based network dea model should be used for determining the frontier projection for inefficient dmus while the multiplier based network dea model should be used for determining the divisional efficiency finally we demonstrate that under general network structures the multiplier and envelopment network dea models are two different approaches the divisional efficiency obtained from the multiplier network dea model can be infeasible in the envelopment network dea model this indicates that these two types of network dea models use different concepts of efficiency we further demonstrate that the envelopment model s divisional efficiency may actually be the overall efficiency

probability of purchase amount of purchase and the demographic incidence of the lottery tax abstract when consumers indifference curves are discontinuous at zero perhaps due to stigma or fixed costs of purchase then factors influencing the amount purchased will have a different effect on the probability of purchase estimation of the demand for a commodity like lottery tickets requires a procedure that accounts for this tobit estimation commonly used in this literature does not allow for this generalization we investigate individual lottery ticket purchases using data from a survey of households our results are quite disparate from earlier studies regarding the effects of many demographic variables on probability of play level of play and expected lottery ticket purchases and imply a different demographic incidence of the lottery tax than previous studies suggest

multi period efficiency and malmquist productivity index in two stage production systems abstract conventional two stage data envelopment analysis dea models measure the overall performance of a production system composed of two stages processes in a specified period of time where variations in different periods are ignored this paper takes the operations of individual periods into account to develop a multi period two stage dea model which is able to measure the overall and period efficiencies at the same time with the former expressed as a weighted average of the latter since the efficiency of a two stage system in a period is the product of the two process efficiencies the overall efficiency of a decision making unit dmu in the specified period of time can be decomposed into the process efficiency of each period based on this decomposition the sources of inefficiency in a dmu can be identified the efficiencies measured from the model can also be used to calculate a common weight global malmquist productivity index mpi between two periods in that the overall mpi is the product of the two process mpis the non life insurance industry in taiwan is used to verify the proposed model and to explain why some companies performed unsatisfactorily in the specified period of time

estimating a demand system with nonnegativity constraints mexican meat demand a new information based approach for estimating systems of many equations with nonnegativity constraints is presented this approach called generalized maximum entropy gme is more practical and

determinants of dietary quality evidence from bangladesh summary whereas a large number of studies have been devoted to analyzing consumer demand for dietary quantity much less attention has been paid to the demand for dietary quality to address this gap in the literature this paper explores the determinants of dietary quality in bangladesh using data from a nationally representative household expenditure survey conducted in 2000 we find that while male education plays a positive role female education has a substantially stronger influence further female household headship is associated with lower dietary quality than male headship thus promoting female education and addressing the unique constraints faced by female headed households with respect to diet quality could be a significant policy instrument for addressing food insecurity in bangladesh

the impact of tax reforms designed to encourage healthier grain consumption in this paper we simulate the effects of tax reforms aimed at encouraging healthier grain consumption we use a rich data set on household grain consumption in 2003 from the market research institute gfk sweden combined with information on the nutritional content of the consumption we estimate behavioral parameters which are used to simulate the impact on the average household of tax reforms entailing either a subsidy on commodities particularly rich in fiber or a subsidy of the fiber density in grain products our results suggest that to direct the fiber intake towards nutritional recommendations reforms with a substantial impact on consumer prices are required regardless of the type of subsidy implemented the increase in the intake of fiber is accompanied by unwanted increases in nutrients that are often overconsumed fat salt and sugar funding the subsidies by taxing these nutrients or less healthy commodities helps to counteract such developments

scale characterizations in a dea directional technology distance function framework abstract the present study extends prior research on data envelopment analysis dea based returns to scale in view of the fact that the standard methods are very restrictive the extension is made in the context of the directional technology distance function that generalizes the shephard input and output distance functions the two main results in this extended setting are as follows first we show how banker s most productive scale size mpss concept is characterized second we obtain scale elasticity measures and examine the properties and the relationships with standard scale elasticity measures

at home consumption of cheese a purchase infrequency model for many commodities zero purchases are recorded in household budget surveys even though positive consumption occurs this may reflect a survey period that is shorter than the purchase cycle the present study estimates a purchase infrequency model for cheese using the 1987 bls consumer expenditure survey appropriateness of the tobit specification is examined along with the assumption of independence of the two stage expenditure decision process applied consumption analyses often use household budget surveys with little concern as to survey period length relative to the length over which consumption can occur many of these analyses use the tobit model to account for censoring associated with use of this type of model are underlying assumptions that first the same stochastic process affects both purchase decisions and consumption levels and second a zero value of the dependent variable represents a true comer solution however when the commodity in question has a purchase cycle longer than the survey period length a zero expenditure level may not correspond to zero consumption and the tobit specification may be inappropriate blundell and meghir p 197 as a commodity cheese may exhibit characteristics precluding use of a tobit demand model for many cheese varieties consumption may occur many weeks after purchase as evidence the 1972 and 1987 consumer expenditure surveys report that 48 and 42 of surveyed households respectively had purchased cheese over a one week survey period in contrast the 1977 usda household food consumption survey indicates over 75 of surveyed households had consumed cheese at home over a one week period this large difference

returns to scale in different dea models abstract this paper discusses returns to scale rts in data envelopment analysis dea for each of the presently available types of models the bcc and ccr models are treated in input oriented forms while the multiplicative model is treated in output oriented form this distinction is not pertinent for the additive model which simultaneously maximizes outputs and minimizes inputs in the sense of a vector optimization quantitative estimates in the form of scale elasticities are treated in the context of multiplicative models but the bulk of the discussion is confined to qualitative characterizations such as whether rts is identified as increasing decreasing or constant this is discussed for each type of model and relations between the results for the different models are established the opening section describes and delimits approaches to be examined the concluding section outlines further opportunities for research

an analysis of under reporting for micro data sets the misreporting or double hurdle model abstract this paper analyzes under reporting through the two extended tobit models p tobit and double hurdle models the empirical results clarify the characteristics of under reporting misreporting plays an important role in under reporting

spending on alcohol evidence from the family expenditure survey 1970 1983 this paper reports on the investigation of a model of the determination of the share of household expenditure on alcohol using fes data for the united kingdom 1970 83 i e a time series of cross sections the authors pay special attention to the occurrence of zero expenditure variations in characteristics across the population and the modeling and interpretation of the stochastic term this term is modeled using the gamma distribution replacing the normal in tobit estimated parameters indicate strong positive skewness interactions between household characteristics and expenditure propensities are important copyright 1990 by royal economic society

latent consideration sets and continuous demand systems this paper develops a theoretically consistent continuous demand system model that incorporates latent probabilistic consideration sets in contrast to existing discrete choice consideration models the proposed model is econometrically tractable with consumption data for many goods the model s empirical properties are illustrated with an 89 site recreation data set from the 1994 national survey of recreation and the environment nsre parameter and welfare estimates suggest that the latent consideration set models fit the data better and may imply a bias variance tradeoff relative to traditional models

the impact of fuel tourism on retailers diesel price in spanish neighbouring regions since 1986 car fuel consumption in spain has been subject to the special hydrocarbons tax and the value added tax in addition since 2002 regional governments have been able to apply a regional excise duty on hydrocarbons this article analyses the impact that such a regional tax has on the retailer s diesel price at the border of the province of lugo in the region of galicia and the province of leon in the region of castile leon only the former region has the regional tax evidence shows that variations in the price of diesel at the border of lugo are of the same sign but of lower intensity than at the border of leon the price price elasticity is 0 8060 these results suggest that service stations located in regions with higher excise duties use their price policy to lessen the negative effects generated for fuel tourism

why fuel prices differ fuel taxes differ largely between countries this paper reviews a number of considerations from the theory of public finance that may explain these differences based on a multiple regression model we find for tax competition in europe that small countries tend to be more aggressive than large countries by charging lower fuel taxes to attract customers from neighbouring countries there is strong evidence that fuel is just considered as one of the many sources for government expenditure as the share of government expenditure in gdp is higher the fuel tax tends to be higher no support is found for the hypothesis that fuel taxes are higher in countries where externality problems are more severe proxied by car density of the country in this respect the normative literature on pricing externalities has found little support in the realities of transport policy

deriving the dea frontier for two stage processes data envelopment analysis dea is a method for measuring the efficiency of peer decision making units dmus recently dea has been extended to examine the efficiency of two stage processes where all the outputs from the first stage are intermediate measures that make up the inputs to the second stage the resulting two stage dea model provides not only an overall efficiency score for the entire process but as well yields an efficiency score for each of the individual stages due to the existence of intermediate measures the usual procedure of adjusting the inputs or outputs by the efficiency scores as in the standard dea approach does not necessarily yield a frontier projection the current paper develops an approach for determining the frontier points for inefficient dmus within the framework of two stage dea

spending on children direct survey evidence we present estimates of spending on children from a danish expenditure survey which asks respondents directly about allocations of expenditures to individual household members our main finding is that the average danish family allocates 44 of total assignable spending on non food non durables and services to children there is considerable variation across households more is spent on older children and expenditure on children is an increasing concave function of the number of equivalent children we find that households in which the mother has had a child by a previous partner spend 24 less on children than otherwise similar households

a scale elasticity measure for directional distance function and its dual theory and dea estimation abstract in this paper we focus on scale elasticity measure based on directional distance function for multi output multi input technologies explore its fundamental properties and show its equivalence with the input oriented and output oriented scale elasticity measures we also establish duality relationship between the scale elasticity measure based on the directional distance function with scale elasticity measure based on the profit function finally we discuss the estimation issues of the scale elasticity based on the directional distance function via the dea estimator

statistical models for zero expenditures in household budgets household budget surveys are an important source of data on consumer s expenditure not just for individual consumers but also for estimating national aggregates however it is a widespread finding that for certain commodities most notably tobacco and alcohol the estimate from the household survey falls short of the known consumption total calculated with some confidence from data on production imports exports and excise duties for example in the british family expenditure survey with which we shall largely be concerned total tobacco expenditure was underestimated in 1976 by 21 percent see kemsley redpath and holmes 1980 p 51 much of this understatement together with that on alcohol is thought to occur because of the design of the survey which excludes many persons amongst whom consumption of such items is thought to be atypically high e g prisoners hoteliers and their residents merchant seamen even so the possibility remains that some of the understatement is due to various types of misreporting by households included in the survey in this paper we consider a model in which the standard tobit specification tobin 1958 is supplemented by the operation of a simple binary censor the tobit model is essentially a linear regression model in which non positive observations of the dependent variable are replaced by zero we take this specification as our starting point but add a second censoring process that randomly replaces a fraction of the observations generated by the tobit model bv zeroes the combined model can serve as a representation of several types of

distinguishing between market participation and infrequency of purchase models of butter demand household butter expenditures are modeled by market participation and infrequency of purchase specifications the market participation model assumes that zero expenditures represent either traditional corner solutions or consumers who never use the product whereas the infrequency of purchase model assumes that zero expenditures represent either corner solutions or consumption out of storage we determine that the infrequency of purchase specification is preferred to the market participation model by applying a nonnested test based upon likelihood functions if household expenditure surveys contained information about participation and frequency of purchase a likelihood function which contained both models could be written and estimated

convergence in car prices among european countries this article contributes to the literature on price convergence in europe by investigating the existence of stochastic and deterministic convergence of car prices in the eu15 countries we apply recently developed econometric techniques that allow for multiple structural breaks to an up to date dataset we find considerable evidence of both types of convergence in our sample of countries and car models therefore suggesting a tendency for relative prices to equalize over time in addition we find evidence regarding the importance in this convergence process of both legislative changes taking place in the years 1996 and 2002 and the implementation of economic and monetary union emu

returns to scale and most productive scale size in dea with negative data abstract non parametric evaluation of returns to scale of production units in standard dea models becomes problematic when their underlying technologies involve negative data the methodology recently offered by allahyar and rostamy malkhalifeh 2015 hence after called arm model is of some help to deal with this issue however there are two shortcomings underlying the arm model first it may not be capable of locating all the production units exhibiting constant returns to scale and second it is also not able to determine most productive scale size in order to deal with these two shortcomings the current paper contributes to the dea literature in two ways first it makes a unifying attempt to propose a general non radial dea model to determine both the most productive scale size and the returns to scale characterizations of production units in the presence of negative data second the proposed model can be adapted in a dynamic dea technology setting to determine growth efficiency and returns to growth behavior of production units facing hyper competition in a new economy

returns to scale in convex production technologies the notion of returns to scale rts is well established in data envelopment analysis dea in the variable returns to scale production technology the rts characterization is closely related to other scale characteristics such as the scale elasticity most productive scale size mpss and global rts types indicative of the direction to mpss in recent years a number of alternative production technologies have been developed in the dea literature most of these technologies are polyhedral and hence are closed and convex sets examples include technologies with weakly disposable undesirable outputs models with weight restrictions and production trade offs technologies that include several component production processes and network dea models for most of these technologies the relationship between rts and other scale characteristics has remained unexplored the theoretical results obtained in this paper establish such relationships for a very large class of closed convex technologies of which polyhedral technologies are an important example

children and household economic behavior this paper looks at some of the methodological issues that arise in modeling the effects of children on household behavior and presents some estimates for selected areas for our purposes household behavior will be taken to refer to household decisions on labor supply the allocation of expenditure to different periods and the decision as to what to do with the difference between income and expenditure i shall be concerned mainly with the effects of dependent children and i restrict attention largely to western societies excerpt

estimating the speed of adjustment to target levels the case of energy prices in this paper we propose a model that estimates the speed of energy price adjustment to its target level we also explain the source of price adjustment moreover we extract energy price bubbles and show that bubbles help explain price adjustment since ours is the first paper that develops an energy price adjustment model and links it to bubbles several avenues for future research have emerged from our analysis the first is to provide a theoretical framework for the bubbles and price adjustment mechanism the second direction of research will be to continue the search for other potential determinants of price adjustment

investment choice and asset allocation of italian households the discrete continuous approach financial and monetary policies are considered to be effective depending on the reaction of financial markets which are increasingly populated by households in this article from intertemporal settings i derive a financial almost ideal fai demand system and i estimate it by highlighting the determinants of both limited participation to financial markets and asset substitutability complementarity in the allocating stage finally the wealth elasticities provide some further insights on the low diffusion of the newer and more complex financial instruments across italian households

what s mine is yours the influence of male and female incomes on patterns of household expenditure this paper uses microdata from the 1992 statistics canada family expenditure survey to provide evidence that male and female incomes do not always exert identical influences on household expenditures the novelty of the paper lies in its demonstration that while incomes may be pooled for some categories of consumption e g housing the income pooling hypothesis must be rejected for others we also go beyond simply rejecting the pooling hypothesis to ask how male versus female income is used our results stress the on going importance of traditional gender roles for example we find that expenditures on child care increase only with women s incomes higher male income is not associated with higher expenditure on child care even when both spouses are full time full year paid workers

a simple derivation of scale elasticity in data envelopment analysis in this paper we suggest a simple derivation of the formulae for the scale elasticity in the variable returns to scale technology as used in data envelopment analysis our development is consistent with the existing literature but the proof is much shorter and applies to the general case without any simplifying conditions

network dea efficiency in input output models with an application to oecd countries we undertake network efficiency analysis within an input output model that allows us to assess potential technical efficiency gains by comparing technologies corresponding to different economies input output tables represent a network where different sectoral nodes use primary inputs endowments to produce intermediate input and outputs according to sectoral technologies and satisfy final demand preferences within the input output framework it is possible to optimize primary inputs allocation intermediate production and final demand production by way of non parametric data envelopment analysis dea techniques dea allows us to model the different subtechnologies corresponding to alternative production processes to assess efficient resource allocation among them and to determine potential output gains if inefficiencies were dealt with the proposed model optimizes the underlying multi stage technologies that the input output system comprises identifying the best practice economies the model is applied to a set of oecd countries

joint purchasing decisions a multivariate negative binomial approach the analysis of household purchasing decisions for understanding consumption behaviour has received much attention recently mainly because of the measurement error problems that appear when using expenditure data to approximate consumption this paper discusses some empirical regularities of the household purchasing behaviour based on information about the number of purchases a household has declared having done during the survey period the concern of this paper is two fold first to show how to recover purchase frequency data from the spanish budget survey 1990 1991 second to discuss some empirical regularities of the joint purchasing decisions based on multivariate negative binomial models

diesel price convergence and mineral oil taxation in europe we empirically analyse convergence of european producer and consumer prices for diesel fuel and investigate the role of excise taxation by comparing the speed of convergence of prices and taxes we find a surprisingly fast speed of convergence for consumer prices while this can in part be explained by fuel tourism the main driving force is producer price dynamics tax convergence contributes weakly to price convergence but the overall effect is to slow down consumer relative to producer price convergence

jeux sans frontieres tax competition and tax coordination when countries differ in size closer international integration is putting increasing pressure on existing national tax structures this paper uses a simple two country model to address a range of consequent policy concerns focusing particularly on the role of country size differences in size exacerbate the inefficiency from noncooperative behavior harming both countries the smaller country loses from harmonization to any tax rate between those set in the noncooperative equilibrium but both countries gain from the imposition of a minimum tax anywhere in that range the fully optimal response to freer cross border trade however may be to do nothing jel h20 h77

u s cigarette consumption the case of low income women we use double hurdle or cragg models to test whether decisions about smoking participation and consumption levels are separate endogenous choices we also estimate several dominance models which assume that standard corner solutions are not applicable a complete dominance model with independence between the participation and consumption decisions is the preferred specification for our data the most important variables influencing participation are region number of children education and ethnicity region age race ethnicity and health status most affected consumption levels

dynamic data envelopment analysis a relational analysis abstract this paper proposes a dynamic data envelopment analysis dea model to measure the system and period efficiencies at the same time for multi period systems where quasi fixed inputs or intermediate products are the source of inter temporal dependence between consecutive periods a mathematical relationship is derived in which the complement of the system efficiency is a linear combination of those of the period efficiencies the proposed model is also more discriminative than the existing ones in identifying the systems with better performance taiwanese forests where the forest stock plays the role of quasi fixed input are used to illustrate this approach the results show that the method for calculating the system efficiency in the literature produces over estimated scores when the dynamic nature is ignored this makes it necessary to conduct a dynamic analysis whenever data is available