cost allocation and convex data envelopment abstract this paper considers allocation rules first we demonstrate that costs allocated by the aumann shapley and the friedman moulin cost allocation rules are easy to determine in practice using convex envelopment of registered cost data and parametric programming second from the linear programming problems involved it becomes clear that the allocation rules technically speaking allocate the non zero value of the dual variable for a convexity constraint on to the output vector hence the allocation rules can also be used to allocate inefficiencies in non parametric efficiency measurement models such as data envelopment analysis dea the convexity constraint of the bcc model introduces a non zero slack in the objective function of the multiplier problem and we show that the cost allocation rules discussed in this paper can be used as candidates to allocate this slack value on to the input or output variables and hence enable a full allocation of the inefficiency on to the input or output variables as in the ccr model

crime rates and local labor market opportunities in the united states 1979 1997 the labor market prospects of young unskilled men fell dramatically in the 1980s and improved in the 1990s crime rates show a reverse pattern increasing during the 1980s and falling in the 1990s because young unskilled men commit most crime this paper seeks to establish a causal relationship between the two trends previous work on the relationship between labor markets and crime focused mainly on the relationship between the unemployment rate and crime and found inconclusive results in contrast this paper examines the impact of both wages and unemployment on crime and uses instrumental variables to establish causality we conclude that both wages and unemployment are significantly related to crime but that wages played a larger role in the crime trends over the last few decades these results are robust to the inclusion of deterrence variables controls for simultaneity and controlling for individual and family characteristics

efficiency analysis for exogenously fixed inputs and outputs we evaluate by means of mathematical programming formulations the relative technical and scale efficiencies of decision making units dmus when some of the inputs or outputs are exogenously fixed and beyond the discretionary control of dmu managers this approach further develops the work on efficiency evaluation and on estimation of efficient production frontiers known as data envelopment analysis dea we also employ the model to provide efficient input and output targets for dmu managers in a way that specifically accounts for the fixed nature of some of the inputs or outputs we illustrate the approach using real data for a network of fast food restaurants

choosing a place to live and a workplace espanolen este trabajo se estudia como la politica fiscal y los costos de transporte determinan la distribucion geografica de los trabajadores y las familias se utiliza un modelo simple de dos regiones con costos de transporte bienes publicos locales e infraestructura local se presenta una breve revision de literatura relacionada que estudia otros factores determinantes de la localizacion de los agentes se argumenta que las cuestiones estudiadas juegan un rol importante en la distribucion geografica de la actividad economica en el area urbana del gran buenos aires englishwe study how fiscal policies and commuting costs determine the geographical distribution of workers and households in an economy we characterize equilibrium outcomes in a simple two region model with commuting costs local public goods and local infrastructure we also provide a short survey of the related economic literature that discusses other important factors driving the localization decisions of agents finally we argue that the issues raise in this paper play a significant role in the geographic distribution of economic activity in the greater buenos aires urban area of argentina

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

commercial branch performance evaluation and results communication in a canadian bank a dea application abstract in this paper we focus on evaluating the performance of the commercial branches of a large canadian bank using data envelopment analysis two production models are considered in this country wide evaluation one model looking directly at resource usage is most useful to the branch manager the other model incorporating financial results is more geared towards senior management we introduce non discretionary factors to reflect specific aspects of the environment a branch is operating in such as risk and economic growth rate of the region both input and output multipliers are constrained by incorporating market prices as well as managerial preferences in order to get effectiveness measures the cost minimisation study led to valuable results pertaining to the performance of individual branches notable is the methodology introduced here that shows how to present graphical and numeric outcomes to managers gap maps pie charts and target tables are produced for each branch to provide performance goals for the managers useful information has also been obtained at the district level output oriented models were analysed to reflect the bank s recent emphasis towards growth in some areas

measuring economic efficiency with incomplete price information with an application to european commercial banks measuring economic efficiency requires complete price information while resorting to technical efficiency exclusively does not allow one to utilise any price information in most studies at least some information on the prices is available from theory or practical knowledge of the industry under evaluation in this paper we extend the theory of efficiency measurement to accommodate incomplete price information by deriving upper and lower bounds for farrell s overall economic efficiency the bounds typically give a better approximation for economic efficiency than technical efficiency measures that use no price data whatsoever from an operational point of view we derive new data envelopment analysis dea models for computing these bounds using standard linear programming the practical application of these estimators is illustrated with an empirical application to large european union commercial banks

cops and crime abstract the violent crime control and law enforcement act of 1994 established the community oriented policing services cops program that provided grants to states and localities to pay up to 75 of the cost for new police hires for 3 years to date the cops program has awarded almost 5 billion in hiring grants paying for 64 000 new police officers we use annual data from 1990 through 2001 from 2074 cities with populations in excess of 10 000 to show that for each officer paid for by grant funds the size of the force expands by 0 70 officers the size of cops grants are correlated with population and crime rates but not the pre cops time trends in crime rates or the size of the police force this allows us to use the size of cops grants as an instrument for the size of the police force in regressions where crime is the outcome of interest these models indicate that police added to the force by cops generated statistically significant reductions in auto thefts burglaries robberies and aggravated assaults

some unsolved problems in data envelopment analysis a survey abstract the present study is a survey of a set of inherent characteristics and unsolved problems in current dea models we will focus on what types of local characteristics the dea estimated technology exhibits in relation to non jointness of a multi output multi input production no indicators are currently available telling the analysts whether or not the structure in data supports the existence of a joint technology if the estimated ccr technology has a sparse facet structure in the sense that few facets are active for output vectors in certain cones of the output space then the multi output multi input ccr technology is possibly locally non joint another important field of research relates to the inclusion of explicit distributional assumptions as part of the dea model specification and to the extension of the dea estimation from an estimation of a deterministic frontier towards an estimation of a stochastic frontier some recent results will be compared finally measures of scale economies from parametric models and dea models will be compared

applied cost allocation the dea aumann shapley approach this paper deals with empirical computation of aumann shapley cost shares for joint production we show that if one uses a mathematical programing approach with its non parametric estimation of the cost function there may be observations in the data set for which we have multiple aumann shapley prices we suggest to overcome such problems by using lexicographic goal programing techniques moreover cost allocation based on the cost function is unable to account for differences between efficient and actual cost we suggest to employ the notion of rational inefficiency in order to supply a set of assumptions concerning firm behavior these assumptions enable us to connect inefficient with efficient production and thereby provide consistent ways of allocating the costs arising from inefficiency

estimation of profit functions when profit is not maximum this paper deals with derivation and implications of profit functions when profit is not maximum due to the presence of either technical inefficiency or allocative inefficiency or both we show that input demand and output supply elasticities and returns to scale are in general affected by these inefficiencies we also show that the overall profit efficiency is not necessarily the product of technical and allocative efficiencies meaning that technical and allocative inefficiencies are not necessarily independent estimation techniques are developed for both cross sectional and panel data models working of the model is illustrated using a panel of 60 salmon farms copyright 2001 oxford university press

local natural resources and crime evidence from oil price fluctuations in texas abstract we exploit plausibly exogenous changes in the value of reserves in texas s giant oil fields to determine the impact of crime in texas counties that have reserves texas provides an ideal setting for this research strategy first texas has the largest number of giant oil fields second texas s giant oil fields possess the greatest remaining oil potential third giant oil fields are dispersed throughout the state we find that a 1 increase in the value of oil reserves increases murder by 0 16 robbery by 0 55 and larceny by 0 18 using the estimated elasticities an average increase in the value of oil reserves 26 increase in the value of reserves results in a 4 15 increase in murder rates 8 increase in robbery and 4 7 increase in larceny these effects are not trivial we explore potential mechanisms that could be driving this increase in crime and find that an increase in the value of local oil reserves improves the local economic conditions increases the share of young males and increases the share of individuals residing in group quarters e g temporary worker housing of its county with no effect on the local economic conditions demographic changes or crime rates of adjacent counties

hyperbolic efficiency and return to the dollar abstract this paper after establishing the relations between hyperbolic graph measure of technical efficiency and the radial measures of technical efficiency shows that the dual cost and revenue interpretation of the hyperbolic efficiency measure is related to georgescu roegen s notion of return to the dollar n georgescu roegen in koopmans t ed activity analysis of production and allocation wiley new york 1951 pp 98 115 once this relation is established it leads to a derivation of an allocative efficiency index which measures the price distortions using data on observed costs and revenues without requiring information on prices

frontier production functions and technical efficiency measures the concept of technical efficiency is central to measuring the firm performance the measurement of technical efficiency has proved difficult and complex and the literature provides a range of methodologies this paper reviews the various methodologies for measuring technical efficiency and offers a comparison between established methods of measurements the discussion is literary with less mathematical jargons and equations the objective of this paper is not to be exhaustive but to be up to date and to provide a significant discussion on some of the core methods of measuring technical efficiency

non parametric productivity analysis with undesirable outputs an application to the canadian pulp and paper industry this article extends the chavas cox approach to non parametric analysis by incorporating undesirable outputs to provide a more complete representation of the production technology inner and outer non parametric technology bounds are constructed the methods are illustrated with application to time series data for the canadian pulp and paper industry conventional measures that ignore changes in pollutant outputs underestimate true productivity growth further there is a large gap between estimates generated with reference to inner and outer bounds to the technology suggesting that researchers need to be aware of the limitations of results derived from analyses relying only on dea methods copyright 2001 oxford university press

the spatial diffusion of secondary impacts rural urban spillovers in grampian scotland the paper analyzes rural urban spillover effects using a bi regional sam model which allows for flows of commodities and factor incomes between the two areas multiplier decomposition is used to investigate the nature of spillovers the results indicate stronger spillover effects from urban to rural grampian than viceversa in contrast results from a restricted input output version of the model suggest that the effects are more consistent with nodal response input output an alysem say produce biased results and studies of contemporary rural urban relationships should look beyond production linkages to the broader range of relationships within a sam framework

measuring overall efficiency and effectiveness using dea this paper presents a framework where data envelopment analysis dea is used to measure overall efficiency and show how to apply this framework to assess effectiveness for more general behavioral goals the relationships between various cone ratio dea models and models to measure overall efficiency are clarified specifically it is shown that as multiplier cones tighten the cone ratio dea models converge to measures of overall efficiency furthermore it is argued that multiplier cone and cone ratio model selection must be consistent with the behavioral goals assigned or assumed for purposes of analysis consistent with this reasoning two new models are introduced to measure effectiveness when value measures are represented by separable or linked cones where the latter can be used to analyze profit maximizing effectiveness

inner and outer approximations of technology a data envelopment analysis approach this paper discusses inner and outer approximation to a technology given by a data set of prices and quantities

income and health spending evidence from oil price shocks health expenditures as a share of gdp in the united states have more than tripled over the past half century a common conjecture is that this is a consequence of rising income we investigate this hypothesis by instrumenting for local area income with time series variation in oil prices interacted with local oil reserves this strategy enables us to capture both partial equilibrium and local general equilibrium effects of income on health expenditures our central income elasticity estimate is 0 7 with 1 1 as the upper end of the 95 confidence interval which suggests that rising income is unlikely to be a major driver of the rising health expenditure share of gdp 2013 the president and fellows of harvard college and the massachusetts institute of technology

estimating most productive scale size using data envelopment analysis abstract the relation between the most productive scale size mpss for paparticular input and output mixes and returns to scale for multiple inputs multiple outputs situations is explicitly developed this relation is then employed to extend the applications of data envelopment analysis dea introduced by charnes cooper and rhodes ccr to the estimation of most productive scale sizes for convex production possibility sets it is then shown that in addition to productive inefficiencies at the actual scale size the ccr efficiency measure also reflects any inefficiencies due to divergence from the most productive scale size two illustrations of the practical applications of these results to the estimation of most productive scale sizes and returns to scale for hospitals and stem electric generation plants are also provided emphasize the advantage of this method in examining specific segments of the efficient production surface

non parametric analysis of multi output production with joint inputs we focus on analysing cost minimising production behaviour in multi output settings we distinguish between two approaches for modelling the use of joint inputs the cooperative approach assumes cost minimisation at the aggregate firm level while the non cooperative approach assumes cost minimisation at the level of the individual output division our framework extends the existing non parametric framework for analysing single output production an empirical application to the english and welsh drinking water and sewerage sector shows the practical usefulness of our framework specifically we compare the empirical validity of the cooperative and non cooperative models for describing the observed production behaviour

testing data for consistency with revealed preference the author develops a method of hypothesis testing for revealed preference tests this method is particularly well suited to tests of commonality of tastes or tests of preference stability he devises a metric based on an estimate of the fraction of expenditure wasted in maximizing utility if all consumers in the sample share the same utility function this metric increases in size with increases in the proportion of observations having different tastes and with increasing differences in tastes the author proposes bootstrap methods for estimating the distribution of the test statistic copyright 1995 by mit press

identifying the effect of unemployment on crime abstract in this paper we analyze the relationship between unemployment and crime using u s state data we estimate the effect of unemployment on the rates of seven felony offenses we control extensively for state level demographic and economic factors and estimate specifications that include state specific time trends state effects and year effects in addition we use prime defense contracts and a state specific measure of exposure to oil shocks as instruments for unemployment rates we find significantly positive effects of unemployment on property crime rates that are stable across model specifications our estimates suggest that a substantial portion of the decline in property crime rates during the 1990s is attributable to the decline in the unemployment rate the evidence for violent crime is considerably weaker however a closer analysis of the violent crime of rape yields some evidence that the employment prospects of males are weakly related to state rape rates

nonparametric analysis of technical and allocative efficiencies in production in this paper we extend varian s 1984 nonparametric production analysis to situations when the set of observed output input and price data is not consistent with profit maximization for at least one firm in such cases varian s results imply that no production possibility set containing all observations can rationalize the observed data we identify each firm whose performance given the prices faced by it may be found consistent with profit maximization relative to some production possibility set containing all observed output input vectors we show that the set 4 of all such firms can itself be weaklv rationalized in the sense that there exists a closed convex and monotone production possibility set that contains all the observations and relative to which the performance of all the firms in the set 8o is consistent with profit maximization given their respective prices by definition firms not included in this largest set d of efficient observations unambiguously deviate from profit maximizing behavior for any production possibility set containing all observations we follow farrell 1957 and analyze these deviations into technical and allocative efficiency measures considering as admissible all closed convex and monotone production possibility sets relative to which the performance of each firm in the set g remains consistent with profit maximization we then describe nonparametric methods for determining the tightest upper and lower bounds on the technical allocative and aggregate efficiency measures evaluated relative to all such admissible production possibility sets it is seen that the tightest upper bound on the technical efficiency measure is the same as the value computed by the nonparametric efficiency evaluation technique known as data envelopment analysis thus establishing a link between this literature in management science operations research and the nonparametric production analysis in economics

analysis of trends in technical and allocative efficiency an application to texas public school districts abstract we present a new dea based method to analyze efficiency trends over time and differences across subgroups in a panel data setting we employ a result that the aggregate technical and allocative inefficiency score equals the technical inefficiency when input quantities are aggregated into a single total input cost variable and develop test procedures to evaluate the presence of allocative inefficiency we apply these methods to test for the presence of allocative inefficiency in texas school districts over 1993 99 and analyze shifts and trends in both technical and allocative inefficiencies over time for different regions our empirical results indicate the existence of statistically significant allocative inefficiencies while technical inefficiency increased over the six year sample period allocative inefficiency remained relatively stable during this period these results for the full sample obtain also when we repeat the analysis for different regions

privatization of nippon telegraph and telephone was it a good policy decision nippon telegraph and telephone ntt corporation was privatized in 1985 under the economic assertion that a public enterprise is less efficient and less profitable than a private enterprise this assertion is referred to as the property right theory in economics and it is used as a theoretical rationale for privatizing publicly owned organizations this article empirically examines the economic assertion by comparing ntt s performance before and after its privatization data envelopment analysis dea is used as the research tool in this study which confirmed the economic assertion in terms of production based efficiency measures but it cannot find any major difference in its cost reducing corporate efforts thus this study presents serious management problems occurring within the ntt s partial privatization the partial privatization is now prevailing in the telecommunications industry all over the world this article also discusses the japanese business environment which makes ntt managerially ineffective under its public private joint ownership

a household based nonparametric test of demand theory a nonparametric test of demand theory determining the consistency of price expenditure data with the generalized axiom of revealed preference is applied to household macroeconomic data for the first time the fraction of consumption bundle comparisons that violate the generalized axiom of revealed preference is proposed as a summary statistic to indicate the consistency of a data set with revealed preference axioms this violation rate is calculated among consumption pairs with similar expenditures to increase the power of the test the results suggest that similar households consumption choices and budget constraints are generally consistent with the joint hypotheses of optimizing behavior and common preferences copyright 1995 by mit press

housing demand forces and land use towards urban compactness a push accessibility pull analysis framework this paper focuses on resolving a defect of population based urban sprawl analysis from a land use planning perspective this defect is indicated for a few metropolitan areas which have experienced a controversial phenomenon of population decentralisation but with potential household centralising force with the emphasis on household movement this paper first aims to clarify the role of populations households and employment that characterises urban sprawl and to check if unmet housing demand in city centres can be identified second we evaluate the influence of household distribution factors such as unmet housing and land use related factors on spatial structure based compactness sprawl taking time lag into consideration a new classification of urban forms is developed to identify potential residential centripetal market forces additionally the housing demand generation distribution push accessibility pull gd pap analysis framework is applied the results of an empirical study on the taipei

allocating fixed costs and resources via data envelopment analysis abstract in this paper we show that data envelopment analysis dea can be viewed as maximising the average efficiency of the decision making units dmus in an organisation building upon this we present dea based models for a allocating fixed costs to dmus and b allocating input resources to dmus simultaneous to allocating input resources output targets are also decided for each dmu numeric results are presented for a number of example problems taken from the literature

measuring economic efficiency with incomplete price information abstract this note identifies and corrects a technical error in t kuosmanen g t post eur j oper res 134 2001 43 58

efficiency effectiveness and productivity of marketing in services abstract how can a service firm right size marketing expenses and yet strive to maximize revenue this paper represents the first attempt to model these efficiency and effectiveness issues using a 49 unit asia pacific hotel chain as illustration we employ a triangular dea model with total expenses controlling for number of rooms as the raw input marketing expenses as intermediate output input and revenues from room rentals and f b as final outputs we infer that efficiency tails off when more than 12 of the budget is expended on marketing activities in terms of effectiveness we find that all the units rated as relatively inefficient can accrue increasing returns to scale in revenues from marketing activities by contrast in the productivity stage linking the raw inputs to the revenues we observe mostly decreasing returns to scale our results highlight the crucial role of marketing in service organizations

characterizing an equitable allocation of shared costs a dea approach abstract in many applications to which dea could be applied there is often a fixed or common cost which is imposed on all decision making units this would be the case for example for branches of a bank which can be accessed via the numerous automatic teller machines scattered throughout the country a problem arises as to how this cost can be assigned in an equitable way to the various dmus in this paper we propose a dea approach to obtain this cost allocation which is based on two principles invariance and pareto minimality it is shown that the proposed method is a natural extension of the simple one dimensional problem to the general multiple input multiple output case

piecewise loglinear estimation of efficient production surfaces linear programming formulations for piecewise loglinear estimation of efficient production surfaces are derived from a set of basic properties postulated for the underlying production possibility sets unlike the piecewise linear model of banker charnes and cooper banker r d a charnes w w cooper 1984 models for the estimation of technical and scale inefficiencies in data envelopment analysis management sci 30 september 1078 1092 this approach permits the identification of increasing marginal products and estimation of the classical s shaped production functions methods are also provided for estimating technical inefficiencies and other production characteristics such as rates of substitution and transformation marginal products returns to scale and most productive scale sizes on the basis of observed production data the results of a simulation study are reported to illustrate the usefulness of this estimation method in empirical applications when there are a priori reasons to expect increasing marginal products in some regions of the production function a modified model is provided to extend this analysis to the situation of non competing outputs addressed by the bi extremal model of banker charnes cooper and schinnar banker r d a charnes w w cooper a schinnar 1981 a bi extremal principle for frontier estimation and efficiency evaluation management sci 27 december 1370 1382

an overall measure of technical inefficiency at the firm and at the industry level the lost profit on outlay abstract as a measure of overall technical inefficiency the directional distance function ddf introduced by chambers chung and fare ties the potential output expansion and input contraction together through a single parameter by duality the ddf is related to a measure of profit inefficiency which is calculated as the normalized deviation between optimal and actual profit at market prices as we show in the most usual case the associated normalization represents the sum of the actual revenue and the actual cost of the assessed firm consequently the corresponding profit inefficiency measure associated with the ddf has no obvious economic interpretation in contrast in this paper we allow outputs to expand and inputs to contract by different proportions this results in a modified ddf that retains most of the properties of the original ddf the corresponding dual problem has a much simpler interpretation as the lost profit on average outlay that can be decomposed into a technical and an allocative inefficiency component in addition an overall measure of technical inefficiency at the industry level is introduced resorting to the direction corresponding to the average input output bundle

three methods to share joint costs or surplus abstract we study cost sharing methods with variable demands of heterogeneous goods additive in the cost function and meeting the dummy axiom we consider four axioms scale invariance si demand monotonicity dm upper bound for homogeneous goods ubh placing a natural cap on cost shares when goods are homogeneous average cost pricing for homogeneous goods acph the random order values based on stand alone costs are characterized by si and dm serial costsharing by dm and ub the aumann shapley pricing method by si and acph no other combination of the four axioms is compatible with additivity and dummy journal of economic literature classification numbers c71 d62 d63

alternative methods for environmentally adjusted productivity analysis abstract advances in the productivity with which food is produced around the world have been made possible through the intensive use of industrial inputs that have important environmental impacts like standard measures of macroeconomic performance however commonly used measures of agricultural efficiency and productivity account only for marketed commodities and inputs but ignore the environmental effects of these production processes a more complete analysis of trends in the sector s productivity requires the use of models that incorporate these environmental effects to provide better measures of the contributions of the sector from the social point of view this paper compares the conceptual merits and empirical performance of alternative approaches that can be employed for this purpose input distance functions output distance functions nonparametric methods and index number approaches each of the methods has relative strengths and weaknesses the methods are empirically illustrated using data from the canadian pulp and paper industry

a generalized distance function and the analysis of production efficiency a generalization of shephard s distance functions is proposed extending the usefulness of distance functions in economic analysis applications to efficiency measurements and productivity analysis are presented new indexes of productivity and technical allocative and scale efficiency are proposed and analyzed interpretation of these indexes in terms of ray average cost ray average revenue and cost to revenue ratio is discussed

the mechanisms of spatial mismatch the spatial mismatch hypothesis smh argues that low skilled minorities residing in us inner cities experience poor labour market outcomes because they are disconnected from suburban job opportunities this assumption gave rise to an abundant empirical literature which is rather supportive of the smh surprisingly it is only recently that theoretical models have emerged which probably explains why the mechanisms of spatial mismatch have long remained unclear and not properly tested this article presents relevant facts reviews the theoretical models of spatial mismatch confronts their predictions with available empirical results and indicates which mechanisms deserve further empirical tests

the energy implications of city size and density abstract this paper develops a new open city urban simulation model capable of showing the urban form and energy consumption effects of variation in city size the model is able to consider city size differences caused by wage and amenity differentials both with and without housing and land use regulation the surprising conclusion is that per capita energy use is relatively invariant to city size when growth is driven by wages but falls modestly with growth induced by rising amenity common land use policies specifically density limits and greenbelts can positively or negatively affect both city welfare and energy use

causality in the suburbanization of population and employment abstract using the slope of the density function as a measure of centralization we find that suburbanization of the residential population is enhanced by rising income and suburbanization of employment in the transportation communication and public utilities and service sectors and by the failure of manufacturing to decentralize suburbanization of population is only a positive force in promoting decentralization of the service and retail sectors however there are a number of interesting interactions between decentralization of some industrial sectors and suburbanization of other sectors overall our results differ significantly from those of previous studies which failed to disaggregate employment by industry and which aggregated change over decennial rather than annual time intervals

a comparative application of data envelopment analysis and translog methods an illustrative study of hospital production this paper compares inferences about hospital cost and production correspondences from two different estimation models 1 the econometric modeling of the translog cost function and 2 the application of data envelopment analysis dea while there are numerous examples of the application of each approach to empirical data this paper provides insights into the relative strengths of the estimation methods by applying both models to the same data the translog results suggest that constant reruns are operant whereas the dea results suggest that both increasing and decreasing returns to scale may be observed in different segments of the production correspondence in turn suggesting that the translog model may be averaging diametrically opposite behavior on the other hand by examining the rate of output transformation both models agree that patient days devoted to care of children are more resource intensive than those devoted to adults or to the elderly in addition we compare estimates of technical efficiencies of individual hospitals obtained from the two methods the dea estimates are found to be highly related to the capacity utilization but no such relationship was found for the translog estimates this comparative application of different estimation models to the same data to obtain inferences about the nature of underlying cost and production correspondences sheds interesting light on the strengths of each approach and suggests the need for additional research comparing estimation models using real as well as simulated data

the impact of economic conditions on participation in disability programs evidence from the coal boom and bust abstract we examine the impact of the coal boom of the 1970 s and the coal bust of the 1980 s on disability program participation these shocks provide clear evidence that as the value of labor market participation increases disability program participation falls for the disability insurance program the elasticity of payments with respect to local earnings is between 0 3 and 0 4 and for supplemental security income the elasticity is between 0 4 and 0 7 consistent with a model where qualifying for disability programs is costly the relationship between economic conditions and program participation is much stronger for permanent than for transitory economic shocks

are children normal abstract we examine becker s 1960 contention that children are normal for the cross section of non hispanic white married couples in the united states we show that when we restrict comparisons to similarly educated women living in similarly expensive locations completed fertility is positively correlated with the husband s income the empirical evidence is consistent with children being normal in an effort to show causal effects we analyze the localized impact on fertility of the mid 1970s increase in world energy prices an exogenous shock that substantially increased men s incomes in the appalachian coal mining region empirical evidence for that population indicates that fertility increases with men s income

economic efficiency and frontier techniques abstract most of the literature related to the measurement of economic efficiency has based its analysis either on parametric or on non parametric frontier methods the choice of estimation method has been an issue of debate with some researchers preferring the parametric and others the non parametric approach the aim of this paper is to provide a critical and detailed review of both core frontier methods in our opinion no approach is strictly preferable to any other moreover a careful consideration of their main advantages and disadvantages of the data set utilized and of the intrinsic characteristics of the framework under analysis will help us in the correct implementation of these techniques recent developments in frontier techniques and economic efficiency measurement such as bayesian techniques bootstrapping duality theory and the analysis of sampling asymptotic properties are also considered in this paper

a goal programming method of stochastic allocative data envelopment analysis abstract allocative data envelopment analysis adea is a version of data envelopment analysis dea which measures relative efficiency for a group of similar operating units with known input prices by using the actual input values adea provides information to managers on the minimum cost method of operation for each unit a major criticism of dea methods is that they are deterministic and have no means of allowing for uncertainty this paper applies the goal programming approach introduced by banker 1991 to allocative efficiency and develops the stochastic adea model a two stage solution method is introduced which is needed because of the existence of alternate optimal solutions regarding which units are found to be significantly inefficient we propose that identifying the significantly inefficient units is most useful to managers because it best facilitates improved efficiency the concept of a minimum frontier is introduced and used to define the significantly inefficient units we also show how bounds can be imposed which allow the ambiguity of the noise inefficiency trade off to be eliminated from the objective function the use of bounds also allows the identification of the significantly inefficient unit based on the amount of uncertainty present for each operating unit as a result of optimizing cost this method has the important advantage of being ideally suited for multiple outputs

does the availability of high wage jobs for low skilled men affect welfare expenditures evidence from shocks to the steel and coal industries abstract we study shocks to the coal and steel industries to measure the effect of long term changes in demand for low skilled workers on welfare expenditures the coal and steel industries have historically paid high wages to low skilled men we find a substantial increase in welfare expenditures in response to the collapse of the steel and coal industries in the 1980s and an even more substantial reduction in welfare expenditures during the coal boom of the 1970s additional analysis indicates the reduction in welfare expenditures during the coal boom is due in part to a decline in single parent households