control of accumulating stock pollution by heterogeneous producers abstract this paper presents a framework to determine optimal resource allocation over time for the production of a good by heterogeneous producers who generate a stock externality we analyze the optimal intertemporal and quality specific combination of abatement strategies at the source source abatement given by a change in the intensity intensive margin of production and in the chosen technology extensive margin and or removal of existing pollution stock stock abatement the results show how the specifications of the production and the emission functions affect technology adoption and the design of the optimal intertemporal combination of source and stock abatement strategies moreover the paper shows that regulation at the intensive margin cannot be considered as a substitute for a regulation at the extensive margin the paper employs the so called two stage solution approach for solving the resulting quality distributed intertemporal optimal control problem

progressive taxation and income inequality in dynamic competitive equilibrium abstract this paper establishes the existence of a non degenerate distribution of income in a simple dynamic economy when agents who are heterogeneous in their rates of impatience face a progressive tax system in this dynamic setting income inequality can vary positively with the degree of tax progressivity moreover the inherent heterogeneity in agents behavior can explain why measures of inequality such as the standard deviation of income or atkinson s gini tend to be dynamically much more sluggish than aggregate measures such as total income finally the adjustment in the degree of inequality resulting from an exogenous change in tax policy may take some time before becoming effective this result also arises from agents asymmetric responses to policy changes

nonpecuniary benefits to farming implications for supply response to decoupled payments we develop a household model wherein farmers allocate labor to maximize utility from leisure consumption and nonpecuniary benefits from farming the model shows that farmers with decreasing marginal utility of income respond to higher decoupled payments by decreasing off farm labor and increasing farm labor resulting in greater agricultural output we then estimate the difference between farm and off farm returns to labor using data from three nationally representative farm household surveys the finding of a large on farm off farm wage differential provides compelling evidence of substantial nonpecuniary benefits from farming

can progressive taxation account for cross country variation in labor supply abstract the difference between average hours worked in the us and average hours worked in continental european countries has been increasing since the early 1970s to explain this phenomenon this paper develops an endogenous growth model with two key properties agents are heterogeneous in their rates of time preference and labor skills and the model incorporates progressive income taxes the model is calibrated to us and german data for the periods 1971 1974 and 1986 1989 our findings suggest that the degree of progressivity is a major factor in explaining the patterns of the us and german labor supply over time predictions of the model also match the distributional trends in both countries during this time period

tax progressivity and tax incidence of the rich and the poor with the labor supply being flexible a revenue neutral increase in the tax progressivity decreases the tax incidence of the rich and increases the tax incidence of the poor if the tax scheme is highly progressive

marginal income tax rates in the united states a non parametric approach abstract the objective of this paper is to estimate both the u s federal marginal income tax rate and the state and local marginal income tax rates we use the non parametric regression method and data on income and tax extracted from u s individual tax model files for the period 1985 1995 the flexibility of the non parametric approach and the information at the individual level enable us to construct a more reliable time series of the average federal marginal income tax rates and that of the average state and local marginal income tax rates our results suggest that the average federal marginal income tax rate varies from 18 2 to 21 8 and the average state and local marginal income tax rate varies from 4 7 to 5 6 we also find that the state and local income tax accounts for roughly 18 of the total income taxes paid during 1985 1995 moreover our analysis shows that stephenson journal of monetary economics 41 1998 pp 389 409 provides the most consistent tax rate series for use in applications that require estimates of tax rates for years prior to 1985

low demand for housing incidence causes and uk national policy implications low and falling demand for housing has come to be recognised as a fairly widespread phenomenon in late 1990s britain whilst research has tended to focus on the negative consequences of this for so

structural agricultural land use modeling for spatial agro environmental policy analysis this paper develops a spatially disaggregated structural econometric model of agricultural land use and production based on the joint multi output technology representation introduced by chambers and just 1989 starting from a flexible specification of the farm profit function we derive land use allocation input application crop yield and livestock intensity equations in a joint and theoretically consistent framework to account for the presence of censored observations in micro level data the model is estimated as a system of two limit tobit equations via quasi maximum likelihood we present an empirical application using fine scale spatial data covering the entirety of england and wales and including the main economic policy and environmental drivers of land use change in the past forty years a simulation of the effects of diffuse pollution reduction measures illustrates how our approach can be applied for agro environmental policy appraisal

stability chaos and multiple attractors a single agent makes a difference abstract this paper provides an example in which a slight behavioral heterogeneity may fundamentally change the dynamical properties of a nonlinear cobweb market with a quadratic cost function and an isoelastic demand function we consider two types of producers cautious adapters and naive optimizers in a market of naive optimizers a single cautious adapter stabilizes the otherwise exploding market in a market of cautious adapters a single naive optimizer may destabilize the market without him there exists at most one periodic attractor in the market but with him there may appear many and even infinitely many coexisting periodic attractors

the gains from differentiated policies to control stock pollution when producers are heterogeneous we derive optimal input taxes to control stock pollution problems generated by heterogeneous agents the taxes vary over time and in response to differences of asset quality and technology choice we also derive second best policies and compare them to the efficient policy and also among themselves different policies will affect the timing for when and the extent to which conservation technologies are adopted a numerical example based on the california drainage problem shows significant efficiency gains from the optimal policy compared to no intervention but much of the gains are lost with second best interventions the gains from optimal policies do not always increase with the degree of heterogeneity copyright 2008 oxford university press

estimating disaggregate models using aggregate data through augmentation of individual choice abstract in this article the authors propose a bayesian method for estimating disaggregate choice models using aggregate data compared with existing methods the advantage of the proposed method is that it allows for the analysis of microlevel consumer dynamic behavior such as the impact of purchase history on current brand choice when only aggregate level data are available the essence of this approach is to simulate latent choice data that are consistent with the observed aggregate data when the augmented choice data are made available in each iteration of the markov chain monte carlo algorithm the dynamics of consumer buying behavior can be explicitly modeled the authors first demonstrate the validity of the method with a series of simulations and then apply the method to an actual store level data set of consumer purchases of refrigerated orange juice the authors find a significant amount of dynamics in consumer buying behavior the proposed method is useful for managers to understand better

panel data analysis of regulatory factors shaping environmental performance this is the publisher s version also available electronically from http www mitpressjournals org doi abs 10 1162 003465304323023895 u1q6giuvdgi

international spillovers and water quality in rivers do countries free ride transboundary spillovers may degrade environmental quality if countries free ride this paper examines the extent of such degradation in water quality in international rivers using data from river monitoring stations in the un s global emissions monitoring system gems it compares pollution levels in international and domestic rivers the results suggest that free riding may substantially increase pollution in international rivers but the estimates are sensitive to the inclusion of country effects this abstract was borrowed from another version of this item

equal sacrifice and incentive compatible income taxation abstract the concepts of equal sacrifice and incentive compatibility in income taxation have been of interest to economists for some time here we attempt to integrate the two literatures in a model that offers a labor leisure choice to consumers while imposing an equal relative or absolute sacrifice tax system the main result is that equal sacrifice incentive compatible income tax systems generally exist and are locally unique examples are presented where this tax system is easy to compute comparative statics are calculated finally some remarks about the welfare properties of these tax systems are made

the costs of carbon sequestration a revealed preference approach increased concem by policy makers with the threat of global climate change has brought with it considerable attention to the possibility of encouraging the growth of forests as a means of sequestering carbon dioxide national academy of sciences nas 1992 james p bruce et al 1996 1 the kyoto protocol to the united nations framework convention on climate change 1997 which establishes emission reduction targets for the united states and other industrialized nations states that carbon sequestration can be used by participating nations to achieve their targets moreover even before the kyoto agreement this approach had become an explicit element of both u s and intemational climate policies u s department of energy 1991 united nations general assembly 1992 william j clinton and albert gore 1993 this high level of interest has been due in part to suggestions that sufficient lands are available to use the approach to mitigate a substantial share of annual carbon dioxide c02 emissions greg marland 1988 daniel a lashof and dennis a tirpak 1989 mark c trexler 1991 and claims that growing trees to sequester carbon is a relatively inexpensive means of combating climate change roger a sedjo and allen m solomon 1989 daniel j dudek and alice leblanc 1990 nas 1992 in other words the serious attention given by policy makers to carbon sequestration can partly be explained by implicit assertions about respective marginal cost functions i develop and demonstrate a method by which the costs of carbon sequestration can be estimated on the basis of evidence from landowners behavior when confronted with the opportunity costs of alternative land uses the simplest of previous economic analyses derived single point estimates of average costs associated with particular sequestration levels marland 1988 sedjo and solomon 1989 dudek and leblanc 1990 edwin s rubin et al 1992 omar masera et al 1995 often it has been assumed that land opportunity costs are zero g van kooten et al 1992 j k winjum et al 1992 new york state energy office 1993 robert k dixon et al 1994 another set of studies essentially engineering costing models has constructed marginal cost schedules by using information on revenues and costs of production for altemative uses on representative types or locations of land and then sorting these in ascending order of cost robert j moulton and kenneth r richards 1990 richards et al 1993 simulation models include a model of the lost profits due to removing land from agricultural production peter j parks and ian w hardie 1995 a mathematical programming model of the agricultural sector and the timber market richard m adams et al 1993 a related model incorporating the effects of agricultural price support programs j m callaway and bruce mccarl 1996 and a dynamic simulation model of forestry susan swinehart 1996 lastly an analysis by andrew j plantinga 1995 adopts land use elasticities from an econometric study to estimate sequestration costs we draw on some of the best features of the previous studies including the carbon levelization method of moulton and richards john f kennedy school of government harvard university 79 john f kennedy street cambridge ma 02138 and resources for the future richard newell supplied excellent research assistance and valuable comments on a previous version were provided by lawrence goulder william nordhaus andrew plantinga kenneth richards two anonymous referees participants in seminars at the universities of california at los angeles and santa barbara the university of maryland the university of michigan the university of texas harvard university stanford university yale university resources for the future and the national bureau of economic research the author alone is resdonsible for any errors 1 after fossil fuel combustion deforestation is the second largest source of carbon dioxide emissions estimates of annual global emissions from deforestation range from 0 6 to 2 8 billion tons compared with slightly less than 6 0 billion tons annually from fossil fuel combustion cement manufacturing and natural gas flaring combined r a houghton 1991 t m smith et al 1993

the rate of time preference and dynamic economic analysis strong restrictions on the structure of preferences are a central feature in the received theory of intertemporal allocation in fact most of the modern literature concerned with capital theoretic problems represents preferences by a functional in which an additive utility function is discounted by a constant rate of time preference this specification is attractive because it is analytically tractable in dynamic models and it clearly delineates how tastes and opportunities interact to determine an economy s household s paths of consumption and capital formation however its rigid structure constancy of time preference severely limits the conclusions and explanatory power of the corresponding models this paper considers a class of utility functionals in continuous time which have the appealing feature that the rate of time preference depends systematically on an index of aggregate future consumption the more flexible structure embodied in these functionals leads to important generalizations and

introduction to a general equilibrium approach to economic growth abstract endogenous growth theory has had some success in explaining the observed data related to the process of economic growth however the results of the models in this literature are typically very sensitive to their micro economic structure it is therefore important to understand how the growth process behaves under more general specifications of such features as the number of commodities the number and preferences of consumers the factors of production and the financial and information structures in other words valuable insights can be gained by integrating growth theory into the framework of general equilibrium theory the summary of the papers in this volume focuses on seven issues that are crucial to this integration and highlights the contributions of the papers to the resolution of these issues journal of economic literature classification numbers c61 d50 d90 f43 o30 o41

the dynamics of spatial pollution the case of phosphorus runoff from agricultural land abstract the paper analyzes based on a land classification system the optimal management of negative production externalities while taking into account the intertemporal and spatial aspects of the problem to incorporate both aspects simultaneously a two stage modeling approach is proposed where the solution of the spatial problem first stage is optimized over time second stage as a result it is possible to relate long run and short run supply and input demand functions attention is given to runoffs from agricultural land leading to the contamination of a water body in particular the one of phosphorus and the eutrophication of lakes the employment of a land classification system supports a full information approach and allows to address the optimal management of mineral fertilizer and manure based on zonal taxes zonal permits and zonal standards which all vary over time

on the optimality of age dependent taxes and the progressive u s tax system abstract in life cycle economies where an individual s optimal consumption work plan is almost never constant the optimal marginal tax rates on capital and labor income vary with age conversely the progressivity imbedded in the u s tax code implies that marginal tax rates vary with age because tax rates vary with earnings and earnings vary with age using numerical simulations this paper shows that if the tax authority is prevented from conditioning tax rates on age some degree of progressivity is desirable as progressive taxation better imitates optimal age dependent taxes than an optimal age independent tax system this role for progressive taxation emanates from efficiency reasons and does not rely on any insurance nor re distribution arguments

evolving comparative advantage and the impact of climate change in agricultural markets evidence from 1 7 million fields around the world a large agronomic literature models the implications of climate change for a variety of crops and locations around the world the goal of the present paper is to quantify the macro level consequences of these micro level shocks using an extremely rich micro level data set that contains information about the productivity both before and after climate change of each of 10 crops for each of 1 7 million fields covering the surface of the earth we find that the impact of climate change on these agricultural markets would amount to a 0 26 percent reduction in global gdp when trade and production patterns are allowed to adjust since the value of output in our 10 crops is equal to 1 8 percent of world gdp this corresponds to about one sixth of total crop value

production growth and business cycles ii new directions abstract this paper outlines new directions for investigations of real business cycle models consideration of stochastic growth of exogenous and endogenous forms analysis of suboptimal outcomes arising due to externalities of distorting taxes and implications of labor market heterogeneity

from microlevel decisions to landscape changes an assessment of agricultural conservation policies the growth in conservation programs has created a need for modeling frameworks capable of measuring microlevel behavioral responses and macrolevel landscape changes this paper presents an empirical model that predicts farmers production practices and the resulting levels of agricultural runoffs at more than 42 000 agricultural sites in the upper mississippi river basin under alternative conservation policies results suggest that payments for conservation tillage and crop rotations increase the use of these conservation practices however the acreage response is inelastic and the programs are not likely to be cost effective on their own for addressing hypoxia problem in the gulf of mexico

the long run effects of changes in tax progressivity abstract this paper compares the steady state outcomes of revenue neutral changes to the progressivity of the tax schedule our economy features heterogeneous households who differ in their preferences and permanent labor productivities but it does not have idiosyncratic risk we find that increases in the progressivity of the tax schedule are associated with long run distributions with greater aggregate income wealth and labor input average hours generally declines as the tax schedule becomes more progressive implying that the economy substitutes away from less productive workers toward more productive workers finally as progressivity increases income inequality is reduced and wealth inequality rises many of these results are qualitatively different than those found in models with idiosyncratic risk and therefore suggest closer attention should be paid to modeling the insurance opportunities of households

research needs and challenges in the few system coupling economic models with agronomic hydrologic and bioenergy models for sustainable food energy and water systems on october 12 13 a workshop funded by the national science foundation was held at iowa state university in ames iowa with a goal of identifying research needs related to coupled economic and biophysical models within the few system approximately 80 people attended the workshop with about half representing the social sciences primarily economics and the rest from the physical and natural sciences the focus and attendees were chosen so that findings would be particularly relevant to sbe research needs while taking into account the critical connectivity needed between social sciences and other disciplines we have identified several major gaps in existing scientific knowledge that present substantial impediments to understanding the few system we especially recommend research in these areas as a priority for future funding 1 economic models of decision making in coupled systems deliberate human activity has been the dominant factor driving environmental and land use changes for hundreds of years while economists have made great strides in modeling and understanding these choices the coupled systems modeling literature with some important exceptions has not reflected these contributions several paths forward seem fruitful first baseline economic models that assume rationality can be used much more widely than they are currently moreover the current generation of iams that include rational agents have emphasized partial equilibrium studies appropriate for smaller systems to allow this approach to be used to study larger systems the potential for and consequences of general equilibrium effects should be studied as well second it is important to address shortcomings in these models of economic decision making valuable improvements could be gained from developing coupled models that draw insights from behavioral economics many decision makers deviate systematically from actions that would be predicted by strict rationality but very few iams incorporate this behavior potentially leading to inaccurate predictions about the effects of policies and regulations improved models of human adaptation and induced technological change can also be incorporated into coupled models particularly for medium to long run models decisions about adaptation and technological change will have substantial effects on the conclusions and policy implications but more compelling methods for incorporating these changes into modeling are sorely needed in addition some economic decisions are intrinsically dynamic yet few coupled models explicitly incorporate dynamic models economic models that address uncertainty in decision making are also underutilized in coupled models of the few system 2 coupling models across disciplines despite much recent progress established models for one component of the few system often cannot currently produce outcomes that can be used as inputs for models of other components this misalignment makes integrated modeling difficult and is especially apparent in linking models of natural phenomena with models of economic decision making economic agents typically act to maximize a form of utility or welfare that is not directly linked to physical processes and they typically require probabilistic forecasts as an input to their decision making that many models in the natural sciences cannot directly produce we believe that an especially promising approach is the development of bridge models that convert outputs from one model into inputs for another such models can be viewed as application specific reduced form distillations of a richer and more realistic underlying model ideally these bridge models would be developed in collaborative research projects involving economists statisticians and disciplinary specialists and would contribute to improved understanding in the scientific discipline as well 3 model validation and comparison there is little clarity on how models should be evaluated and compared to each other both within individual disciplines and as components of larger iams this challenge makes larger integrated modeling exercises extremely difficult some potential ways to advance are by developing statistical criteria that measure model performance along the dimensions suitable for inclusion in an iam as well as infrastructure and procedures to facilitate model comparisons focusing on the models out of sample distributional forecasting performance as well as that of the iam overall is especially promising and of particular importance moreover applications of iams tend to estimate the effect of hypothetical future policy actions but there have been very few studies that have used these models to estimate the effect of past policy actions these exercises should be encouraged they offer a well understood test bed for the iams and also contribute to fundamental scientific knowledge through better understanding of the episode in question the retrospective nature of this form of analysis also presents the opportunity to combine reduced form estimation strategies with the iams as an additional method of validation

econometric process models for integrated assessment of agricultural production systems this article develops the conceptual and empirical basis for a class of empirical economic production models that can be linked to site specific biophysical models for use in integrated assessment research site specific data are used to estimate econometric production models and these data and models are then incorporated into a simulation model that represents the decision making process of the farmer as a sequence of discrete and continuous land use and input use decisions an econometric process model of the dryland grain production system of the northern plains demonstrates the capabilities of this type of model to simulate decision making both within and outside the range of observed data copyright 2001 oxford university press

land allocation effects of the global ethanol surge predictions from the international fapri model we quantify the emergence of biofuel markets and its impact on world agriculture using the multimarket multicommodity international fapri model the model incorporates trade offs between biofuel feed and food production and consumption and international feedback effects of the emergence through world prices and trade we shock the model with exogenous changes in ethanol demand first in the united states then in brazil and other countries and compute shock multipliers for land allocation decisions for important crops and countries the brazilian ethanol expansion using sugarcane has fewer consequences on existing arable land allocation than the u s ethanol expansion does using corn feedstock

a behavioural model of the supply of re lets of council housing in england the supply of council housing over recent years has become increasingly dependent on re lets of the existing stock due to sharp reductions in new building by local authorities this paper sets out a hypothesis for the determinants of re let supply in terms of the characteristics of council tenants and local market factors this hypothesis is tested for english local authorities between 1980 and 1987 using correlation and regression analyses the behavioural model thus developed can explain 60 per cent of the variation in re let rates between districts outside london the most important factors are shown to be the household structure of existing council tenants and the level of house prices in the local private housing market

nonparametric bounds on treatment effects assume that each member of a population is characterized by values for the variables ya yb z x here x is a vector describing a person and z is a binary variable indicating which of two treatments this person receives the treatments are labelled a and b the variables ya and yb are scalar measures of the outcomes of the two treatments for example a cancer patient might be treated by a drug therapy or b surgery the relevant outcome y might be life span following treatment an unemployed worker might be given a vocational training or b job search assistance here the relevant outcome might be labor force status following treatment assume that a random sample is drawn and that one observes the realizations of z x and of the outcome under the treatment received thus ya is observed if treatment a is received but is a latent variable if treatment b is received similarly yb is either observed or latent suppose that one wants to learn the difference in expected outcome if all persons with attributes x were assigned to treatment a or b this treatment effect is

modeling agricultural supply response using mathematical programming and crop mixes mathematical programming models are widely used in agricultural sector analysis however the lack of micro level data as well as computational requirements necessitate the aggregation of individual producers into representative units when working at the sectoral level this usually leads to unrealistic extreme specialization in supply responses in 1982 mccarl introduced the historical crop mixes approach to avoid extreme specialization we extend this approach by generating additional synthetic crop mixes using supply response elasticities and systematically varied commodity prices in addition to avoiding extreme specialization this approach provides flexibility when future supply responses can be vastly different from past responses an application to u s biofuel policy analysis is presented

understanding recent trends in residential mobility in council housing in england variations in stock turnover in social housing are important for a number of reasons first they influence the supply of properties available to meet housing need secondly they have implications

impacts of increased bioenergy demand on global food markets an agmip economic model intercomparison integrated assessment studies have shown that meeting ambitious greenhouse gas mitigation targets will require substantial amounts of bioenergy as part of the future energy mix in the course of the agricultural model intercomparison and improvement project agmip five global agro economic models were used to analyze a future scenario with global demand for ligno cellulosic bioenergy rising to about 100 exajoule in 2050 from this exercise a tentative conclusion can be drawn that ambitious climate change mitigation need not drive up global food prices much if the extra land required for bioenergy production is accessible or if the feedstock for example from forests does not directly compete for agricultural land agricultural price effects across models by the year 2050 from high bioenergy demand in an ambitious mitigation scenario appear to be much smaller 5 average across models than from direct climate impacts on crop yields in a high emission scenario 25 average across models however potential future scarcities of water and nutrients policy induced restrictions on agricultural land expansion as well as potential welfare losses have not been specifically looked at in this exercise