consumption and the credit market abstract this paper uses a kalman filter model to allow the fraction of current income consumers to vary over time and shows that these consumers are liquidity constrained by relating this percentage to measures of credit market tightness

stochastic dea with ordinal data applied to a multi attribute pricing problem multiple attribute pricing problems are highly challenging due to the dynamic and uncertain features in the associated market in this paper we address the condominium multiple attribute pricing problem using data envelopment analysis dea in this study we simultaneously consider stochastic variables non discretionary variables and ordinal data and present a new type of dea model based on our proposed dea an effective performance measurement tool is developed to provide a basis for understanding the condominium pricing problem to direct and monitor the implementation of pricing strategy and to provide information regarding the results of pricing efforts for units sold as well as insights for future building design a case study is executed on a leading canadian condominium developer

on the stability of the excess sensitivity of aggregate consumption growth in the usa summary this paper investigates whether there is time variation in the excess sensitivity of aggregate consumption growth to anticipated aggregate disposable income growth using quarterly us data over the period 1953 2014 our empirical framework contains the possibility of stickiness in aggregate consumption growth and takes into account measurement error and time aggregation our empirical specification is cast into a bayesian state space model and estimated using markov chain monte carlo mcmc methods we use a bayesian model selection approach to deal with the non regular test for the null hypothesis of no time variation in the excess sensitivity parameter anticipated disposable income growth is calculated by incorporating an instrumental variables estimation approach into our mcmc algorithm our results suggest that the excess sensitivity parameter in the usa is stable at around 0 23 over the entire sample period copyright 2016 john wiley sons ltd

a non radial dea approach to measuring environmental performance data envelopment analysis dea has gained great popularity in environmental performance measurement because it can provide a synthetic standardized environmental performance index when pollutants are suitably incorporated into the traditional dea framework past studies about the application of dea to environmental performance measurement often follow the concept of radial efficiency measures in this paper we present a non radial dea approach to measuring environmental performance which consists of a non radial dea based model for multilateral environmental performance comparisons and a non radial malmquist environmental performance index for modeling the change of environmental performance over time a case study of oecd countries using the proposed non radial dea approach is also presented it is found that the environmental performance of oecd countries as a whole has been improved from 1995 to 1997

management earnings forecasts and value of analyst forecast revisions this study examines the stock price reactions to analyst forecast revisions around earnings announcements to test whether preannouncement forecasts reflect analysts private information or piggybacking on confounding events and news we find that management earnings forecasts influence the timing and precision of analyst forecasts more importantly evidence suggests that prior studies finding of weaker stronger stock price responses to forecast revisions in the period immediately after before the prior quarter earnings announcement disappears once management earnings forecasts are controlled for to the extent that management earnings forecasts are public disclosures our results suggest that the importance of analysts information discovery role documented in prior studies is likely to be overstated this paper was accepted by wei jiang finance

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

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

the nexus between urbanization renewable energy trade and ecological footprint in asean countries abstract economic growth accompanied by rising energy demand in asean countries have been unprecedented over these few years on the other hand the energy consumed in the asean region is predominantly non renewable which could have implications for sustainable development previous studies that have investigated the energy growth environment nexus for this region are inefficient in terms of the proxies used to measure environmental quality and the estimation techniques adopted as such this study explores the influence of renewable and non renewable energy consumption economic growth and urbanization on a more reliable environmental indicator ecological footprint from 1990 to 2016 while controlling for trade first and second generation unit root and cointegration tests are applied amidst evidence of cross sectional dependence findings reveal that economic growth trade and non renewable energy contribute significantly to environmental degradation in asean countries this suggests that the region is growing at the expense of its environment while also indulging in emission intensive trade further findings show a one way causality from urbanization to non renewable energy consumption policy directions and implications of the findings for sustainability are discussed

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

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

habit formation in consumer preferences evidence from panel data this paper tests for the presence of habit formation using household data a simple model of habit formation implies a condition relating the strength of habits to the evolution of consumption over time when the condition is estimated with food consumption data from the panel study on income dynamics the results yield no evidence of habit formation at the annual frequency this finding is robust to a number of changes in the specification it also holds for several proxies for nondurables and services consumption created by combining psid variables with weights estimated from consumer expenditure survey data

agriculture s environmental externalities dea evidence for french agriculture the existence of persistent technical inefficiency offers the opportunity for a free lunch not typically implied by the neoclassical theory of the firm when external effects are related to the use of particular inputs reduction of persistent technically inefficient levels of input use represents a means of reducing external impacts an important example is found in agriculture where substantial environmental impacts are generated by particular inputs within this context this paper considers the usefulness of data envelopment analysis dea for estimation of potential input reductions and assessment of potential reductions of environmental impacts of agricultural inputs an application for french cereal production provides estimates that indicate that substantial potential exists for reduction of input use and environmental impacts

efficiency and environmental factors in the us electricity transmission industry the electricity industry in most developed countries has been restructured over recent decades with the aim of improving both service quality and firm performance regulated segments e g transmission still provide the infrastructure for the competitive segments and represent a significant share of the total price paid by final customers however there is a lack of empirical studies that analyse firms performance in the electricity transmission sector in this paper an empirical analysis of us electricity transmission companies is conducted for the period 2001 2009 we use alternative stochastic frontier models that allow us to identify the determinants of firms inefficiency these models also permit us to control for weather conditions potentially one of the most decisive uncontrollable factors in electricity transmission our results suggest that weather conditions clearly have an influence on transmission costs and that there is room for improvement in the management of us electricity transmission systems regulators should also be aware that more adverse conditions generate higher levels of inefficiency and that achieving long term efficiency improvements tends to worsen firms short term relative performance

carbon weighted economic development performance and driving force analysis evidence from china based on a data envelopment analysis framework this study develops an indicator termed as carbon weighted economic development cwed covering the dimensions of energy environment economy and resources to measure the economic development performance in a carbon emission conscious economy as an empirical application the proposed approach is applied to a case study of 30 provinces in china in addition to identify the driving forces underlying low carbon economic development in china we analyze the endogenous interactions and dynamic behaviors between cwed foreign direct investment foreign trade industrial structure local fiscal expenditure and energy consumption structure using a panel vector auto regression model the main findings show that 1 adjusting industrial structure by vigorously developing the service industry and reducing the coal energy share in the primary energy consumption structure are the two most effective approaches to improve cwed in both the short run and long run in return cwed has positive feedback effects on both approaches in the long run 2 increase of the fiscal expenditure has a short term positive effect on cwed 3 fdi has an indirect negative effect on cwed in the long run and foreign trade has an indirect positive effect on cwed in the short term

rule of thumb consumers productivity and hours in this paper we study the transmission mechanism of productivity shocks in a model with rule of thumb consumers in the literature this nancial friction has been studied only with reference to scal shocks we show that the presence of rule of thumb consumers is also very helpful in accounting for recent empirical evidence on productivity shocks rule of thumb agents together with nominal and real rigidities play an important role in reproducing the negative response of hours and the delayed responses of output and

international evidence on sticky consumption growth abstract this paper estimates the degree of stickiness in aggregate consumption growth sometimes interpreted as reflecting consumption habits for thirteen advanced economies we find that after controlling for measurement error consumption growth has a high degree of autocorrelation with a stickiness parameter of about 0 7 on average across countries the sticky consumption growth model outperforms the random walk model of hall 1978 and typically fits the data better than the popular mankiw 1989 model though in a few countries the sticky consumption growth and campbell mankiw models work about equally well

foreign aid and market liberalizing reform market oriented economic policies reflected in limited economic activity by government protection of private property rights sound monetary policy outward orientation regarding trade and efficient tax and regulatory policy have been strongly linked to faster rates of economic growth foreign aid is often provided in the belief that it encourages liberalizing reforms in these areas this paper analyzes the impact of aid on market liberalizing policy reform correcting for the possible endogeneity of aid results indicate that higher aid slowed reform over the 1980 2000 period as measured by a broad index of policies disaggregating policy into five areas aid is significantly linked to slower reform in some policy areas but not in others disaggregating by decade aid s adverse impact on policy reform is much more pronounced for the 1980s than for the 1990s

are hospitals seasonally inefficient evidence from washington state efficiency measurement has been one of the most extensively explored areas of health services research over the past two decades despite this attention few studies have examined whether a provider s efficiency varies on a monthly quarterly or other sub annual basis this article presents an empirical study that looks for evidence of seasonal inefficiency using a quarterly panel of general acute care hospitals from washington state we find that hospital efficiency does vary over time however the nature of this dynamic inefficiency depends on the type of efficiency being measured our results suggest that technical and cost efficiency vary by quarter allocative and scale efficiency also vary on a quarterly basis but only if the data are jointly disaggregated by quarter and another firm specific factor such as size or operating status thus future research corporate decisions and government policies designed to improve the efficiency of hospital care need to account for seasonal trends in hospi

a literature study for dea applied to energy and environment abstract this study systematically summarizes previous research efforts on data envelopment analysis dea applied to energy and environment in the past four decades including concepts and methodologies on dea environmental assessment industrial developments are very important for all nations in terms of their economic prosperities a problem is that the development produces various pollutions on air water and other types of contaminations all of which are usually associated with our health problems and climate changes thus it is necessary for us to consider how to make a balance between economic success and pollution mitigation to maintain a high level of social sustainability in the world it is widely considered that dea is one of the methodologies to examine the level of sustainability this study examines a recent research trend on dea applications from 1980s to 2010s nowadays many researchers have paid serious attention on how to combat various difficulties in the areas of energy and environment as a result the number of articles on dea applications on energy and environment has dramatically increased particularly after 2000s however it is true that dea has strengths and drawbacks in the applications therefore it is very important for us to carefully use dea for guiding large policy issues and business strategies such as the global warming and climate change an underlying premise of this study is that technology innovation in engineering and natural science may solve various problems by linking it with political and managerial efforts the use of dea provides a methodological linkage among them so enhancing the practicality in mitigating problems due to climate change and environmental pollutions this literature study along with a summary on conceptual and methodological developments provides us with guidelines for our future research works on dea on energy and environment issues

the predictability of aggregate consumption growth in oecd countries a panel data analysis we examine aggregate consumption growth predictability we derive a dynamic consumption equation which encompasses relevant predictability factors habit formation intertemporal substitution current income consumption and non separabilities between private consumption and both hours worked and government consumption we estimate this equation for a panel of 15 oecd countries over the period 1972 2007 taking into account parameter heterogeneity endogeneity and error cross sectional dependence using a gmm version of the common correlated effects mean group estimator small sample properties are demonstrated using monte carlo simulations the estimation results support income growth as the only variable with significant predictive power for aggregate consumption growth

measuring and forecasting regional environmental and economic efficiency in italy abstractenvironmental and economic efficiency has being receiving growing attention among researchers in general terms this concept is related to the capability of the economic systems to employ natural resources efficiently so as to increase economic and human wealth this clearly implies that both the economic and ecological aspects of decisions ought to be considered bearing this in mind this article considers economic and ecological performance together by applying data envelopment analysis and the malmquist productivity index to investigate the efficiency of the 20 italian regions from 2004 to 2011 the results reveal that the northern regions have been more efficient than the southern ones highlighting the strong geographical differences between the two furthermore this article uses the grey system theory to forecast regional economic and environmental efficiency the results of the forecasting analysis show that the north south duality remains strong and will possibly increase since the r

habit formation in consumption and its implications for monetary policy models this paper explores a monetary policy model with habit formation for consumers in which consumers utility depends in part on current consumption relative to past consumption the empirical tests developed in the paper show that one can reject the hypothesis of no habit formation with tremendous condence largely because the habit formation model captures the gradual hump shaped response of real spending to various shocks the paper then embeds the habit consumption specication in a monetary policy model and nds that the responses of both spending and inflation to monetary policy actions are signicantly improved by this modication jel d12 e52 e43

benchmarking urban energy efficiency in the uk this study asks what is the best way to measure urban energy efficiency there has been recent interest in identifying efficient cities so that best practices can be shared a process known as benchmarking previous studies have used relatively simple metrics that provide limited insight on the complexity of urban energy efficiency and arguably fail to provide a fair measure of urban performance using a data set of 198 urban uk local administrative units three methods are compared ratio measures regression residuals and data envelopment analysis the results show that each method has its own strengths and weaknesses regarding the ease of interpretation ability to identify outliers and provide consistent rankings efficient areas are diverse but are notably found in low income areas of large conurbations such as london whereas industrial areas are consistently ranked as inefficient the results highlight the shortcomings of the underlying production based energy accounts ideally urban energy efficiency benchmarks would be built on consumption based accounts but interim recommendations are made regarding the use of efficiency measures that improve upon current practice and facilitate wider conversations about what it means for a specific city to be energy efficient within an interconnected economy

estimating technical and allocative efficiency in the public sector a nonparametric analysis of dutch schools abstract public sector output provision is influenced not only by discretionary inputs but also by exogenous environmental factors in this paper we extended the literature by developing a conditional dea estimator of allocative efficiency that allows a decomposition of overall cost efficiency into allocative and technical components while simultaneously controlling for the environment we apply the model to analyze technical and allocative efficiency of dutch secondary schools the results reveal that allocative efficiency represents a significant 37 percent of overall cost efficiency on average although technical inefficiency is still the dominant part furthermore the results show that the impact of environment largely differs between schools and that having a more unfavorable environment is very expensive to schools these results highlight the importance of including environmental variables in both technical and allocative efficiency analysis

evaluating the operational efficiency of major ports in the asia pacific region using data envelopment analysis in recent years as competition among international ports has intensified the impartial and objective evaluation of port operational efficiency has become increasingly important in enabling each individual port to understand its peculiar strengths and weaknesses as well as any immediate threats or opportunities that may affect its competitive environment this study applies ccr model bcc model and 3 stage dea model to evaluate the changes in efficiency that have taken place between 1998 and 2001 in 10 ports in the asia pacific region using cross period data the empirical results show that different model will lead to different result on average the efficiency estimated by 3 stage dea procedure is the highest while ccr efficiency is the lowest it should be noted that the efficiencies based on ccr and bcc model are somewhat lower than the 3 stage dea approaches because they do not take the environmental factors managerial inefficiency and statistical noises into account

undesirable outputs in efficiency valuations abstract efficiency measurement is usually based on the assumption that inputs have to be minimized and outputs have to be maximized in a growing number of applications however undesirable outputs are incorporated into the production model which have to be minimized in this paper various approaches for treating such outputs in the framework of data envelopment analysis dea are discussed and the resulting efficient frontiers are compared new radial measures are introduced which assume that any change of the output level will involve both undesirable and desirable outputs

efficiency measures and productivity indexes in the context of university library benchmarking data envelopment analysis dea has attracted considerable attention during the last few decades as an intuitively clear method for performance assessment theoretical developments have taken turns with empirical efficiency studies in this paper we empirically analyse performance differences across university libraries from different countries from a cross section and a longitudinal perspective we use the malmquist index approach to disentangle environmental efficiency from technical efficiency te to highlight performance differences eventually induced by environmental factors beyond the control of library management as well as to decompose productivity changes over time into changes in te and changes in technology in our cross section analysis we found that north american na libraries are more productive at higher input levels than the european libraries from germany and austria at which we looked in this contribution moreover the largest na libraries are still able to improve performance as t

anticipating the consequences of school reform a new use of dea we use dea type linear programming techniques to simulate a basic component of educational reform eliminating restrictions on the allocation of school personnel our technique allows us to identify potential output gains or equivalently potential cost savings from reform we can also identify which personnel groups are likely to gain and lose under this reform when we apply our model to a sample of texas school districts we find evidence that the educational establishment has substantial economic rents to protect from school reform and that the primary beneficiaries of reform are likely to be affluent school districts with few minority students the technique which relies on the relationship between the direct and indirect distance functions can be easily generalized to measure the potential gains from removing other input restrictions such as union work rules environmental regulations or deed restrictions

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

modeling undesirable factors in efficiency evaluation abstract data envelopment analysis dea measures the relative efficiency of decision making units dmus with multiple performance factors which are grouped into outputs and inputs once the efficient frontier is determined inefficient dmus can improve their performance to reach the efficient frontier by either increasing their current output levels or decreasing their current input levels however both desirable good and undesirable bad factors may be present for example if inefficiency exists in production processes where final products are manufactured with a production of wastes and pollutants the outputs of wastes and pollutants are undesirable and should be reduced to improve the performance using the classification invariance property we show that the standard dea model can be used to improve the performance via increasing the desirable outputs and decreasing the undesirable outputs the method can also be applied to situations when some inputs need to be increased to improve the performance the linearity and convexity of dea are preserved through our proposal

liquidity constraints and the substitutability between private and government consumption the role of military and non military spending i introduction using data for a number of economies we investigate i the relationship between private consumption and two types of government spending military and non military and ii the severity of liquidity constraints because of their importance for macroeconomic modeling in theory and practice 1 both issues have been the subjects of considerable theoretical and empirical investigation on the issue of liquidity constraints the most influential research has relied on hall s 1978 euler equation approach to the permanent income hypothesis in an attempt to reconcile hall s and flavin s 1981 methodologies hayashi 1982 modified hall s martingale result to allow for the possibility that a subset of consumers are liquidity constrained and showed that liquidity constraints can result in consumption s excess sensitivity to current income campbell and mankiw 1989 1990 1991 and jappelli and pagano 1989 have applied hayashi s methodology using data from the u s and several other oecd countries on the substitutability issue aschauer 1985 has modified hall s euler equation to allow for substitutability between government spending and private consumption and found that the two are substitutes for the u s karras 1994 however using a similar approach and data for 30 countries concludes that private and government consumption are better described as complementary or unrelated liquidity constraints and substitutability have been combined in studies by graham and himarios 1991 cushing 1992 and graham 1993 using u s data and by evans and karras 1996 for a number of countries a crucial limitation of most of these studies is the use of aggregate government consumption data which counterintuitively imposes a common substitutability parameter on all components of government spending 2 using recently available time series data for a large number of countries the present paper relaxes this restriction by decomposing government consumption into military and non military components enabling us to separately identify their relationship to private consumption the allocation of government consumption between military and non military functions has varied greatly across countries the appendix reports the average size of military and non military government shares in gdp as well as the military non military ratio by country over the 1970 1989 period average military expenditure as a fraction of gdp for example has ranged in our sample from 0 11 in mexico to 12 30 in jordan similarly the fraction of government consumption absorbed by military expenditure has ranged from 1 09 in mauritius to 66 82 in poland this sizable variability is promising in terms of cross sectional identification power but it also suggests that the estimated parameters must not be assumed to be common across countries the estimated model is derived in section ii which combines liquidity constraints and substitutability by nesting the approaches of hayashi 1982 and aschauer 1985 in the same section we discuss data sources and the estimation strategy which permits the estimated parameters to vary by country in a way that helps determine how they are influenced by country specific factors section iii estimates the model for a panel of the 66 countries for which annual data on all series are available for the 1970 1989 period the paper s main conclusions are given in section iv ii methodology and data we assume that consumers in economy i at time t derive utility from effective consumption c sup which we define as 1 mathematical expression omitted where c is private consumption g sup m and g sup nm are the military and non military components of government consumption the parameters theta sup m and theta sup nm measure the degree of substitutability between c and g sup m and c and g sup nm respectively

saving and liquidity constraints this paper is concerned with the theory of saving when consumers are not permitted to borrow and with the ability of such a theory to account for some of the stylized facts of saving behavior the models presented in the paper seem to account for important aspects of reality that are not explained by traditional life cycle models copyright 1991 by the econometric society

lost in translation the effect of cultural values on mergers around the world we find strong evidence that three key dimensions of national culture trust hierarchy and individualism affect merger volume and synergy gains the volume of cross border mergers is lower when countries are more culturally distant in addition greater cultural distance in trust and individualism leads to lower combined announcement returns these findings are robust to year and country level fixed effects time varying country pair and deal level variables as well as instrumental variables for cultural differences based on genetic and somatic differences the results are the first large scale evidence that cultural differences have substantial impacts on multiple aspects of cross border mergers

rank dynamics and club convergence of sustainable development for countries around the world abstract assessment of country level sustainable development is a critical research topic entrenched in the global battle against climate change this study employs the frontier approach combined with convergence analysis to assess the sustainable development for a set of 121 countries over 1990 2014 focusing on analyzing the countries rank dynamics and convergence behavior the levels of the countries sustainable development are captured by data envelopment analysis a nonparametric frontier approach that can jointly assess a country s economic and environmental performance reflecting the divergent views on the importance of economic and environmental objectives in the pursuit of sustainability the proposed approach generates the countries sustainability scores by prioritizing either economic or environmental criterion this study finds that developed countries have significantly outperformed developing countries if environmental criterion takes precedence over economic criterion in performance assessment moreover regardless of the model employed there is strong evidence of club convergence i e convergence in subgroups of countries to different steady states rather than convergence in full sample we analyze the pattern of convergence paths and discuss policy implications obtained from our empirical findings

nonparametric analysis of educational costs abstract traditional economic analyses of the public sector that assume cost minimization are not consistent with political models of bureaucracy if costs are not minimized then estimated cost functions will be biased the purpose of this paper is to provide a flexible nonparametric technique based on farrell type efficiency measures to estimate public sector costs standard indices need to be modified to fit the special nature of public sector service provision which is characterized by an influence of exogenous variables on cost a useful by product is an index of environmental harshness faced by local governments for illustrative purposes this technique is applied to a sample of new york state school districts it is found that nearly 64 of districts are cost inefficient spending on average 1200 per pupil above the cost minimizing level in addition it is estimated that the average school district faces environmental cost of over 1700 per pupil

evaluating environmental performance using data envelopment analysis the case of european countries abstract environmental efficiency is considered to be a critical pillar of sustainable development consequently improving environmental performance has aroused attention at both the local and global level this study evaluated the environmental performance of european union eu countries using the data envelopment analysis dea approach and the global malmquist luenberger index although literature using the dea approach to measure environmental performance exists this study s main contribution was considering different types of undesirable outputs and using long term panel data on eu countries in particular the dea window analysis technique was applied to evaluate the environmental performance of 27 eu countries in cross sectional and time varying data during the period 2000 2017 three dea models were examined labor capital and energy were used as common inputs with a combination of different outputs including gross domestic product carbon dioxide and particulate matter emissions and waste the empirical results revealed that the trends in the environmental performance of the entire eu and its individual countries were similar under all examined models environmental performance was indeed negatively affected by the financial crisis of 2007 2008 this impact was mainly observed in eastern eu countries furthermore both economic and environmental variables significantly influenced countries overall efficiency the analysis using the global malmquist luenberger index elucidated that overall eu countries experienced the efficiency improvement during the study period although fluctuations were observed these results enable countries and policymakers to understand their environmental performance identify strengths and weaknesses and set targets for further improvement based on the current best practices of comparable peers

kin groups and reciprocity a model of credit transactions in ghana this paper studies kinship band networks as capital market institutions membership in a community where individuals are dynastically linked has two effects on informal credit first the nonanonymity of the dynastic link allows to sanction the defaulters offspring and induce compliance even in short term interactions social enforcement second preferential agreements can arise in which kin members condition their behavior on the characteristics of a player s predecessor expecting others to do the same with their offspring reciprocity these effects are incorporated in an olg game with endogenous matching between lenders and borrowers and tested using household level data from ghana

does buffer stock saving explain the smoothness and excess sensitivity of consumption one of the lasting contributions to modernday consumer theory is the idea that consumption is determined by the expected value of lifetime resources or permanent income the modern day specification of this concept is typically presented as a special case of intertemporalchoice theory where felicity functions are quadratic labor income is stochastic there are no restrictions on borrowing consumers have infinite horizons and expectations are formed rationally we refer to this model as the permanentincome hypothesis pih although the pih has considerable intuitive appeal a series of influential papers published after its inception revealed two notable discrepancies between the model s predictions and aggregate data first the model predicts that consumption growth should be more volatile than income growth if aggregate income growth has positive serial correlation as the quarterly data suggest it does yet aggregate consumption growth is in fact much smoother than aggregate income growth angus deaton 1987 john y campbell and deaton 1989 jordi gali 1991 second the pih predicts that consumption changes should be orthogonal to predictable or lagged income changes yet the coffelation between consumption growth and lagged income growth has been found to be one of the most robust features of aggregate data for example marjorie a flavin 1981 alan s blinder and deaton 1985 campbell and n gregory mankiw 1989 orazio p attanasio and guglielmo weber 1993 thus aggregate consumption growth has been described as exhibiting two puzzles it is both excessively smooth relative to current labor income growth and excessively sensitive to lagged labor income growth 2 in response to these and other empirical anomalies researchers have recently sought out modifications of the pih framework chief ludvigson federal reserve bank of new york 33 liberty street new york ny 10045 michaelides university of cyprus p o box 20537 1678 nicosia cyprus a previous version of this paper appeared under the title can we explain the consumption excesses yet aggregate consumption implications of buffer stock saving behavior for many helpful comments we thank orazio attanasio dave backus ben bernanke john y campbell christopher carroll todd clark angus deaton pierreolivier gourinchas bo honore james kahn martin lettau costas meghir christina paxson steve pischke andrew samwick christopher sims mark watson guglielmo weber michael woodford steve zeldes and two anonymous referees conference participants at the national bureau of economic research summer workshop on the aggregate implications of microeconomic consumption behavior july 1998 the tmr workshop on saving and pensions center tilburg university march 1999 and the new york area macroeconomics workshop october 1998 seminar participants at columbia university insead the new york federal reserve university college london london business school city university business school university of cyprus tel aviv university and jeffrey brown for excellent research assistance the views expressed are those of the authors and do not necessarily reflect those of the federal reserve bank of new york or the federal reserve system any errors or omissions are the responsibility of the authors 1 note that the important insight of danny quah 1990 that individuals may be better able than econometricians to distinguish short run from long run innovations to their income cannot resolve the excess smoothness puzzle laid out in campbell and deaton 1989 these authors show that in the context of the pih excess sensitivity and excess smoothness are the same phenomena in addition campbell 1987 demonstrates that superior information of the type emphasized by quah will show up in households saving behavior and using this information allows the econometrician to control for the agent s private information when predicting income since excess sensitivity is well established and controlling for saving does not eliminate it see campbell and deaton 1989 the observed smoothness of consumption cannot be explained by superior information on the part of permanent income consumers see deaton 1992 for further discussion 2 philippe bacchetta and stefan gerlach 1997 and ludvigson 1999 document another kind of excess sensitivity the correlation between consumption growth and predictable changes in consumer credit although we do not explore these findings here ludvigson finds that a bufferstock model with time varying liquidity constraints can replicate such a correlation

competition and bias we attempt to measure the effect of competition on bias in the context of analyst earnings forecasts which are known to be excessively optimistic because of conflicts of interest our natural experiment for competition is mergers of brokerage houses which result in the firing of analysts because of redundancy e g one of the two oil stock analysts is let go and other reasons such as culture clash we use this decrease in analyst coverage for stocks covered by both merging houses before the merger the treatment sample to measure the causal effect of competition on bias we find that the treatment sample simultaneously experiences a decrease in analyst coverage and an increase in optimism bias the year after the merger relative to a control group of stocks consistent with competition reducing bias the implied economic effect from our natural experiment is significantly larger than estimates from ols regressions that do not correct for the endogeneity of coverage this effect is much more significant for stocks with little initial analyst coverage or competition

an evaluation of the efficiency of quebec s school boards using the data envelopment analysis method in this paper the efficiency of quebec s school boards during a period of severe cutbacks in their finance is examined using data envelopment analysis the average efficiency is found to be relatively high in spite of this potential savings could be achieved if school boards were fully efficient results were found to depend heavily on school boards socio economic conditions thus they were subjected to tobit analysis and the boards corrected efficiencies recalculated it is concluded that inefficiencies cost 800 million dollars of which 200 million dollars come from unfavourable socio economic conditions

the impossibility of convex constant returns to scale production technologies with exogenously fixed factors abstract the extensions to the variable vrs and the constant crs returns to scale models developed by banker and morey are considered among the main approaches to the incorporation of exogenously fixed factors in models of data envelopment analysis dea recently syrjanen showed that the banker and morey crs technology is not convex taking into account that its subset vrs technology is explicitly assumed convex this observation leads to difficulties with explaining the fundamental production assumptions of the crs extension motivated by the example of syrjanen the contribution of this paper is twofold first we show that the nonconvex banker and morey crs technology is nevertheless a suitable reference technology for the assessment of scale efficiency second we ask if a convex technology could be constructed that would correct the nonconvexity of the crs technology of banker and morey the answer to this is negative one consequence of assuming both convexity and ray unboundness with fixed exogenous factors is that we can always mix and match discretionary and nondiscretionary factors taken from different units arriving at totally unrealistic production plans this demonstrates that generally there exists no meaningful convex crs technology with exogenously fixed factors that can be used in its own right apart from its use as a reference technology in the measurement of scale efficiency

a two stage dea approach for quantifying and analysing the inefficiency of conventional and organic rain fed cereals in spain abstract this paper assesses the efficiency of rain fed cereals crops grown in southern spain the proposed approach uses a two stage data envelopment analysis dea plus regression approach in the first stage a slacks based inefficiency sbi dea model is used to project conventional and organic cropping systems onto the efficient frontier the results of the efficiency analysis show that conventional production is more inefficient than organic production and that the main sources of inefficiency in the case of conventional production correspond to excessive input consumption and ghg emissions in the case of organic production the inefficiency comes from output shortfalls it is shown that reducing inefficiency would reduce the amount of ghg emitted per unit of fresh matter yielded this potential gain is more pronounced in the case of conventional production but also occurs for organic production in the second stage the crops efficiency scores are regressed against some exogenous variables using a fractional regression model the regression results confirm that organic production significantly decreases inefficiency and they also indicate that the larger the farm the larger the inefficiency and that growing barley is more inefficient than wheat

a conditional directional distance function approach for measuring regional environmental efficiency evidence from uk regions abstract this paper by using conditional directional distance functions as introduced by simar and vanhems j econometrics 166 2012 342 354 modifies the model by fare and grosskopf eur j operat res 157 2004 242 245 and examines the link between regional environmental efficiency and economic growth the proposed model using conditional directional distance functions incorporates the effect of regional economic growth on regions environmental efficiency levels the results from uk regional data reveal a negative relationship between regions gdp per capita and environmental inefficiency up to a certain gdp per capita level after that level it appears that the relationship becomes positive as an overall result the regional environmental inefficiency gdp per capita relationship appears to have a u shape form

economic integration and political disintegration in a world of trade restrictions large countries enjoy economic benefits because political boundaries determine the size of the market under free trade and global markets even relatively small cultural linguistic or ethnic groups can benefit from forming small homogeneous political jurisdictions this paper provides a formal model of the relationship between openness and the equilibrium number and size of countries and successfully tests two implications of the model firstly the economic benefits of country size are mediated by the degree of openness to trade secondly the history of nation state creations and secessions is influenced by the trade regime

energy efficiency measurement in agriculture with imprecise energy content information abstract measuring energy efficiency is crucial when planning energy reduction policies however decision makers are understandably reluctant to act in the absence of solid data and results supporting a policy position this paper proposes a methodology to measure the energy efficiency of farms based on the data envelopment analysis dea approach in a manner similar to the cost framework we decompose energy efficiency measurements into technical and allocative efficiencies in energy contents of inputs in this study we replace input prices used in traditional economic efficiency measurements by their energy content we use the energy efficiency model to explore the optimal input mix that produces the current outputs at minimum energy consumption we demonstrate that this decomposition can help policy makers design accurate energy policies however the uncertainty of the data and more particularly the energy content of the inputs leads us to recommend using the methodologies to calculate the bounds of efficiency to obtain more plausible and robust results based on our analysis energy efficiency is not a fixed value and policy makers should consider it with caution we use a 2007 database of french farms specialised in field crops for empirical illustration

an analysis of spain s global and environmental efficiency from a european union perspective abstract sustainable economic growth from the environmental point of view is one of the commitments of the eu 28 different measures have been implemented to deal with this issue this work analyses spain s natural efficiency and management efficiency in their static and dynamic sense for the years 2005 2012 in comparison eu 28 the analysis has been carried out using the malmquist index and natural and managerial efficiency three variables have been considered as inputs work gross fixed capital formation and final energy consumption two variables are the outputs the gdp as a desirable output and greenhouse effect gas emissions as an undesirable output the result is that spain s managerial efficiency and natural efficiency are though their values are lower evolving in a similar manner to those of the countries which have been at the heart of the eu longer these levels of efficiency are higher than those of the block of countries which have joined the eu 28 more recently the natural malmquist index results indicate that these are the countries which have had a greater growth in productivity above spain s and the average of the more veteran countries

a data envelopment analytic model for assessing the relative efficiency of the selling function abstract this paper presents a data envelopment analytic model for assessing the relative efficieny of sales units that simultaneously incorporates multiple sales outcomes controllable and uncontrollable resources and environmental factors the model enables comparisons among a reference set of sales units engaged in selling the same product service by deriving a single summary measure of relative sales efficiency in addition it provides insights into modifications that are necessary in order to enhance relative efficiency of an individual sales unit conditions when the sales unit has additional control over resources are explored and the effects on relative efficiency are examined an illustration of the model in the context of sales units from a sample of insurance companies demonstrates the critical features of the model

data envelopment analysis with resource constraints an alternative model with non discretionary factors abstract it is shown that supplying additional resources in order to achieve full efficiency is equivalent to expansion of the input output space with additional factors that are non discretionary resource intensive and resource extensive efficiencies are introduced and defined a numerical example is given

spatial statistical methods applied to the 2015 brazilian energy distribution benchmarking model accounting for unobserved determinants of inefficiencies abstract in 2015 the brazilian regulator presented a dea benchmarking model to set the regulatory operational cost goals to be reached in four years for 61 electricity distribution utilities the dea model uses adjusted operational cost as the input variable seven output variables and weight restrictions although non discretionary variables or environmental variables are available in the dataset the regulator argued that no statistically significant correlation was found between the dea efficiency scores and the non discretionary variables this study evaluates the statistical correlation between the dea efficiency scores and the available environmental variables spatial statistic methods are used to show that the efficiency scores are geographically correlated furthermore due to brazil s environmental diversity and large territory it is unlikely that only one environmental component is sufficient to adjust inefficiencies across the brazilian territory thus a new combined environmental variable is proposed finally a second stage model using the proposed environmental variable and accounting for a spatial latent structure is presented results show major differences between original and corrected efficiency scores mainly for utilities located in harsh environments and which originally achieved lower efficiency scores

destination performance introducing the utility function in the mean variance space economic characteristics of home countries can cause considerable variations in the tourism demand for example the average level of expenditure per tourist varies from one origin to another and these variations may alter overtime thus different tourist nationalities are associated with different level of expenditures and risks therefore strategies aimed at minimizing the variations may become an important issue for the policy makers in this paper we aim to use the productivity measurement theory in a mean variance space to a french region nord pas de calais by introducing the utility function in a mean variance framework with this method we can calculate the optimal portfolio share for each origin and give some useful political advices to the policy decision makers to improve the performance of the tourist sector

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 evaluation of energy environment economic efficiency for eu apec and asean countries design of a target oriented dfm model with fixed factors in data envelopment analysis abstract this paper aims to offer an advanced assessment methodology for sustainable national energy environment economic efficiency strategies based on an extended data envelopment analysis dea the use of novel efficiency improving approaches based on dea originates from the so called distance friction minimisation dfm method to design a feasible improvement strategy for low efficiency dmus we develop here a target oriented to dfm model however in many real world cases input factors may not be flexibly adjusted in the short run in this study we integrate the to dfm model with a fixed inflexible factor ff approach to cope with such more realistic circumstances super efficiency dea is next used in our comparative study on the efficiency assessment of energy environment economic targets for the eu apec and asean a a countries employing appropriate data sets from the years 2003 to 2012 we consider two inputs primary energy consumption and population and two outputs co 2 and gdp including a fixed input factor viz population on the basis of our dea analysis results eu countries appear to exhibit generally a higher efficiency than a a countries the above mentioned to dfm ff projection model is able to address realistic circumstances and requirements in an operational sustainability strategy for efficiency improvement in inefficient countries in the a a region

efficiency and credit rating in taiwan banking data envelopment analysis estimation in this article we use the data envelopment analysis to measure the efficiency of banks before and after credit rating is taken into consideration and we also employ the malmquist productivity index to measure the total factor productivity changes from 2001 to 2003 the results are as follows 1 there is a positive relationship between the efficiency scores and credit rating and thus the credit rating can be a representative to evaluate the performance and quality of a bank 2 we use the wilconxon two sample test of nonparametric statistic to test the influences of credit rating the empirical result shows that the credit rating is proven to influence the efficiency of banks 3 the efficiency scores improve in both investment grade above tw bbb and speculation grade under tw bbb when credit rating is taken into consideration the empirical results show that the efficiency scores of banks with a high credit rating improved relatively more when compared to banks with a lower credit rating

finding the right yardstick regulation of electricity networks under heterogeneous environments abstract revenue cap regulation is often combined with systematic benchmarking to reveal the managerial inefficiencies when regulating natural monopolies one example is the european energy sector where benchmarking is based on actual cost data which are influenced by managerial inefficiency as well as operational heterogeneity this paper demonstrates how a conditional nonparametric method which allows comparison of firms operating under heterogeneous technologies can be used to estimate managerial inefficiency a dataset of 123 distribution firms in norway is used to show aggregate and firm specific effects of conditioning we compare the models presently used by the norwegian regulator to a suggested conditional model thus providing a viable alternative to distinguish between managerial inefficiency and operational heterogeneity the use of the conditional model in this regulatory context leads first to a decrease in aggregate efficient costs and second to a reallocation effect that affects the relative profitability of firms and relative customer prices thus providing a fairer basis for setting revenue caps

evaluating the cost efficiency of the italian banking system what can be learned from the joint application of parametric and non parametric techniques abstract research on bank efficiency has developed in two separate streams econometric studies and data envelopment analysis a linear programming technique these two branches of literature have developed quickly but separately in this paper these two approaches have been tested on a common panel of 270 italian banks and this has suggested the following i econometric and linear programming results do not differ dramatically when based on the same data and conceptual framework ii when differences arise they can be explained by going back to the intrinsic features of the models moreover some findings on italian banks may be of interest also to the international reader i efficiency scores show a high variance ii the banking system is split in two between northern and southern banks iii there is a direct rather than inverse relationship between productive efficiency and asset quality iv the efficiency of italian banks did not increase over the period 1988 1992

individual income incomplete information and aggregate consumption individual income is much more variable than aggregate per capita income i argue that aggregate information is therefore not very important for individual consumption decisions and study models of life cycle consumption in which individuals react optimally to their own income process but have incomplete or no information on economy wide variables since individual income is less persistent than aggregate income consumers will react too little to aggregate income variation aggregate consumption will be excessively smooth since aggregate information is slowly incorporated into consumption aggregate consumption will be autocorrelated and correlated with lagged income on the other hand the model has the same prediction for micro data as the standard permanent income model the second part of the paper provides empirical evidence on individual and aggregate income processes different models for individual income are fit to quarterly data from the survey of income and program participation making various adjustments for measurement error calibrating the consumption model using the estimated parameters for the income process yields predictions which qualitatively correspond to the empirical findings for aggregate consumption but do not match them well in magnitude

assessment of china transit and economic efficiencies in a modified value chains dea model abstract this study incorporates the concepts of undesirable intermediate intermediate input uncontrollable input and undesirable output to the value chains model chen and zhu 2004 thereby creating a modified value chains model to compute transit and economic efficiencies in 30 regions of china the modified value chains model forms a more general formulation to the value added chains in the utilization of the above concepts it also provides an optimal intermediate measure which differs from the independent two stage measure empirical evaluations indicate that large scale transit development in china s coastal area does not necessarily represent higher transit efficiency because in the coastal area there is a lack of significant positive relationships between transit and economic efficiency high economic efficiency does not contribute to greater transit efficiency the finding also suggests that by simultaneously decreasing the quantity in passenger and freight transport transit and economic efficiencies have greatly improved in most regions of china

cultural diversity on wall street evidence from consensus earnings forecasts abstract we examine how cultural differences among agents influence the aggregate outcome of a common forecasting task using both exogenous shocks to sell side analyst diversity and panel regression methods we find that increases in analyst cultural diversity positively affect the quality of the consensus earnings forecast we further provide evidence on the potential mechanisms underlying this result by showing that cultural diversity is associated with improvements in individual analyst forecasts greater analyst conference call participation and interaction and greater diversity in analyst education backgrounds and professional interests overall our results indicate that greater cultural differences among agents producing an aggregate forecast are associated with a higher quality consensus forecast

consumption and credit constraints international evidence abstract if some consumers are liquidity constrained aggregate consumption should be excessively sensitive to credit conditions as well as to income moreover the excess sensitivity may vary over time using data for the united states canada the united kingdom japan and france we find a substantial impact of credit aggregates on consumption in all countries considered moreover the borrowing lending wedge is a significant determinant of consumption in the united states canada and japan using extended kalman filtering techniques we show that the excess sensitivity varies over time with a clear tendency to decline in the united states

small is not that beautiful after all measuring the scale efficiency of tunisian high schools using a dea bootstrap method allocation of resources to schools in a centrally managed state system as the tunisian one should depend on the performance of the individual institutions the optimal size is of crucial importance in this context and we need accurate measurement for sound policies this article discusses and implements a nonparametric statistical test procedure for organization scale efficiency this procedure allows us to test whether the observed scale efficiency is optimal or not using a smooth bootstrap methodology for efficiency measures estimated using data envelopment analysis dea methods because school principals do not control for the size of their institution i e the capital available at decision time the scale efficiency measures are defined so as to include quasi fixed inputs the results show that scale efficiency measures are subject to sampling variation we also found that the schools that are scale efficient are usually mid sized and large schools when size is measured by the number of students

is dea useful in the regulation of water utilities a dynamic efficiency evaluation the discussion about public utilities efficiency and its management has become increasingly important in the last decades we focus on the distribution of water which is one of the most important natural resources marshall 1879 this research shows the relationship between efficiency and institutional factors such as management system for this purpose we have data about some spanish water utilities under different provision systems during the period 1985 to 2000 using data envelopment analysis dea we estimate potential cost savings in this context we will extend the results obtained by thanassoulis 2000a b in attempt to guide the regulation of this sector

the indian auto component industry estimation of operational efficiency and its determinants using dea in this paper the performance analysis of the indian auto component industry is carried out from the perspectives of an original equipment manufacturer and a component supplier various efficiency measures are estimated using data envelopment analysis with publicly available financial data on a representative sample of 50 firms the first stage analysis reveals various operational inefficiencies in the auto component industry which are subsequently decomposed into technical input mix and scale efficiencies the study finds evidence that a majority of the inefficient firms are operating in the diminishing returns to scale region and demonstrates potential savings through benchmark input targets a second stage analysis aimed at exploring root causes of inefficiencies finds that substitution of labour for capital could be causing a variety of inefficiencies including the input mix inefficiency in the indian component industry the empirical results also suggest that unlike the global auto supply chain higher average inventories are required for higher operational efficiencies in the indian context contrary to the popular expectations the technology licensing does not show significant influence on efficiency at least in the short term whereas efficient working capital management does result in higher operational efficiencies the study also unearths the need to reform labour laws which are significantly contributing to various inefficiencies in the indian component industry

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

efficiency subsidies and environmental adaptation of animal farming under cap the purpose of this article is to model the interaction between the targets of the current cap environmental adaptation subsidies and efficiency q1 of animal farming to this end we first have to identify the production frontier and relative efficiency level for each animal oriented farm in the sample the production frontier and efficiency index for each type of farm assuming no specific production functions are identified using data envelope analysis dea techniques we then address the relationship between relative efficiency farm size and environmentally friendly behavior by carrying out a nonparametric regression of efficiency on economic size a proxy for the degree of environmental appropriateness and regional dummies calculations of the efficiency of the farms including direct subsidies are compared with the counterfactual exercise in the case in which direct subsidies are not considered finally we look for relations between subsidies and factors such as farm size efficiency and environmentally friendly behavior one key result shows that on average direct payments generally tend to increase efficiency however in most of the cases the mean efficiency decreases as the percentage of direct payments rises direct payments are found to be positively related to environmentally friendly production at least in germany however in general the direct payment system is not sufficient to offset the fact that the less environmentally friendly farms as well as the larger farms are more efficient

malmquist type indices in the presence of negative data an application to bank branches in this paper we develop an index and an indicator of productivity change that can be used with negative data for that purpose the range directional model rdm a particular case of the directional distance function is used for computing efficiency in the presence of negative data we use rdm efficiency measures to arrive at a malmquist type index which can reflect productivity change and we use rdm inefficiency measures to arrive at a luenberger productivity indicator and relate the two the productivity index and indicator are developed relative to a fixed meta technology and so they are referred to as a meta malmquist index and meta luenberger indicator we also address the fact that vrs technologies are used for computing the productivity index and indicator a requirement under negative data which raises issues relating to the interpretability of the index we illustrate how the meta malmquist index can be used not only for comparing the performance of a unit in two time periods but also for comparing the performance of two different units at the same or different time periods the proposed approach is then applied to a sample of bank branches where negative data were involved the paper shows how the approach yields information from a variety of perspectives on performance which management can use

an international comparison of hospital efficiency does institutional environment matter the consensus among many health economists is that no meaningful performance differences exist among for profit and non profit hospitals in the us but this topic has continued to be a matter of academic judicial and public policy interest a similar debate has ensued internationally regarding the potential efficiency gains from privatization of public enterprises in this paper we examine empirical evidence from the public highly regulated norwegian hospital sector and the private highly competitive and unregulated california hospital sector to ascertain whether institutional environment and level of market competition significantly affect the degree of productive efficiency in hospitals we compare and discuss the productive efficiency of four similar sets of hospitals operating in different institutional and competitive environments the four samples are carefully matched in the dimensions of sample size hospital size and average lengths of stay heterogeneity in output definition is used to co

the permanent income hypothesis and consumption durability analysis based on japanese panel data the permanent income hypothesis with durability of commodities is tested on a panel of about 2 000 japanese households for several commodity groups under static expectations about real interest rates and for some class of utility functions consumption which is a distributed lag function of current and past expenditure follows a martingale main empirical results are i the durability of commodities usually classified as services is substantial ii the hypothesis applies to about 85 percent of the population consisting of wage earners and iii income changes explain only a small fraction of the movements in expenditure

firm characteristics and analyst following abstract this paper examines the major determinants of the number of analysts following a firm a simple model of analyst following is proposed and several firm characteristics are suggested that are likely to influence the extent of a firm s analyst following by either affecting the aggregate demand for or supply of analyst services or both for the firm almost all of these characteristics are found to be strongly significant in affecting the extent of analyst following of firms and the empirical results generally accord well with economic intuition

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

the evolution and main determinants of productivity in brazilian electricity distribution 1998 2005 an empirical analysis abstract this paper estimates changes in the productivity of the brazilian electricity distribution sector using data envelopment analysis dea on a panel of 18 firms from 1998 to 2005 the study decomposes the productivity change of these distribution firms in terms of technical efficiency scale efficiency and technical progress this exercise aims to help the understanding of the main determinants of the evolution of productivity focusing its relationship with the restructuring process implemented in the 1990s tfp index records a yearly positive growth rate of 1 3 in the whole period under analysis for all firms technical change was the main component behind this evolution with an average growth of 2 1 per year while technical efficiency presented a yearly negative performance of 0 8 the results prove that in general terms the incentives generated in the reform process do not seem to have led the firms to behave in a more efficient manner

improvements by analyzing the efficient frontier in dea abstract in this paper we suggest four types of improvements for making inefficient dmus efficient in the ccr model with the minimal change of input and output values moreover we propose an algorithm for calculating such improvements by applying quadratic programming techniques furthermore since all equations constructing the efficient frontiers of the ccr and bcc models are necessary to execute the algorithm we present a procedure for calculating them

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