tobacco taxes and regressivity recent literature on tobacco taxation suggests that optimal tax rates should be very high but such high taxes raise concerns over regressivity most econometric estimates of elasticities by income group use historic price data that are low and the usefulness of such estimates is therefore questionable on account of the serious out of sample prediction problem to address that problem this paper estimates price elasticities for different socioeconomic groups using recent canadian survey data for a period during which prices rose to a level of about 7 per pack the results provide little reason to overturn the traditional concerns about regressivity

standard errors for the retransformation problem with heteroscedasticity abstract economists often estimate models with a log transformed dependent variable the results from the log transformed model are often retransformed back to the unlogged scale other studies have shown how to obtain consistent estimates on the original scale but have not provided variance equations for those estimates in this paper we derive the variance for three estimates the conditional mean of y the slope of y and the average slope of y on the retransformed scale we then illustrate our proposed procedures with skewed health expenditure data from a sample of medicaid eligible patients with severe mental illness

studying optimal paternalism illustrated by a model of sin taxes the classical economic approach to policy analysis assumes that people always respond optimally to the costs and benefits of their available choices a great deal of evidence suggests however that in some contexts people make errors that lead them not to behave in their own best interests economic policy prescriptions might change once we recognize that humans are humanly rational rather than superhumanly rational and in particular it may be fruitful for economists to study the possible advantages of paternalistic policies that help people make better choices we propose an approach for studying optimal paternalism that follows naturally from standard assumptions and methods of economic theory write down assumptions about the distribution of rational and irrational types of agents about the available policy instruments and about the government s information about agents and then investigate which policies achieve the most efficient outcomes in other words economists ought to treat the analysis of optimal paternalism as a mechanism design problem when some agents might be boundedly rational this approach has many advantages first and foremost by explicitly addressing when and how people do and don t pursue their own best interests economists will be better able to contribute to policy debates to contribute to debates over regulating private financial decisions we must study whether financial decisions are based on fallacious statistical reasoning and whether self control problems lead people to borrow too heavily to contribute to debates over teenage smoking we must study whether teenagers become smokers against their long run best interest economists will and should be ignored if we continue to insist that it is axiomatic that constantly trading stocks or accumulating consumer debt or becoming a heroin addict must be optimal for the people doing these things merely because they have chosen to do it a second advantage of our approach is that it forces us to look for the best feasible policy our

policy predictions if the model does not fit abstract this paper uses a novel method for conducting policy analysis with potentially misspecified dsge models del negro and schorfheide 2004 and applies it to a simple new keynesian dsge model we illustrate the sensitivity of the results to assumptions on the policy invariance of model misspecifications jel classification c32 e5 key words bayesian analysis dsge models misspecification policy analysis 1 introduction despite recent successes in improving the empirical performance of dynamic stochastic general equilibrium dsge models e g smets and wouters 2003 even large scale dsge models su r er to some extent from misspecification see del negro schorfheide smets and wouters 2004 in this paper misspecification means that the dsge model potentially imposes invalid cross coe or cient restrictions on the moving average representation of the macroeconomic time series that it aims to explain as a consequence one typically observes that the forecasting performance of dsge models is worse than that of vector autoregressions vars estimated with well calibrated shrinkage methods on the other hand dsge models have the advantage that one can explicitly assess the e r ect of policy regime changes on expectation formation and decision rules of private agents thus policy analysis with dsge models is robust to the lucas critique and potentially more reliable than conclusions drawn from vars this trade o r poses a challenge to policymakers who want to use dsge models in practice del negro and schorfheide 2004a proposed a framework that combines vars and dsge models extending earlier work by ingram and whiteman 1994 in this framework dsge model restrictions are neither completely ignored as in the unrestricted estimation of vars nor are they dogmatically imposed as in the direct estimation of dsge models instead the var estimates are tilted toward the restrictions implied by the dsge model where the degree of tilting is determined by a bayesian data driven procedure that trades o r model fit against complexity del negro and schorfheide 2004a show that priors arising from the same model used in this paper improve both the in sample and out of sample fit of a var in ongoing research del negro and schorfheide 2004b we build upon our earlier work and further develop procedures that are suitable to study the e r ects of rare regime shifts with potentially misspecified dsge models these procedures can be viewed as a bayesian alternative to the robust control and minimax approaches that recently have been proposed to cope with model misspecification e g hansen and sargent 2000 and onatsky and stock 2002 one advantage of bayesian procedures is that the policymaker can learn from existing data about the extent of the dsge model s misspecification and consequently adjust her policies the present paper applies these procedures to a simple new keynesian dsge model we illustrate that conclusions about the e r ects of changing the response to inflation are sensitive to assumptions about the policy invariance of observed discrepancies between model and reality section 2 briefly describes the dsge model in section 3 we outline our framework section 4 discusses our findings and section 5 concludes 2 the dsge model starting point is a dsge model in log linearized form the model used here is a standard new keynesian dsge model e g woodford 2003 which we now briefly describe see del negro and schorfheide 2004a for details the log linearized equilibrium conditions consist of three equations in nominal interest rates sub t output sub t and inflation sub t sup denotes percentage deviations from the steady state and delta is the temporal difference operator monetary policy rule sub t rho r sub t 1 1 rho r psi sub 1

tax incidence when individuals are time inconsistent the case of cigarette excise taxes abstract one of the most cogent criticisms of excise taxes is their regressivity with lower income groups spending a much larger share of their income on goods such as cigarettes than do higher income groups we argue that traditional quantity based measures of incidence are only appropriate under a very restrictive time consistent model of consumption of sin goods a model that is much more consistent with existing evidence on smoking decisions is a time inconsistent formulation where excise taxes on cigarettes serve a self control function that is valued by smokers who would like to quit but cannot this self control function benefits lower income groups more since they have a significantly higher price sensitivity of smoking calibrations show that as a result cigarette taxes are much less regressive than previously assumed and are even progressive for a wide variety of parameter values

aggregation without separability tests of the united states and mexican agricultural production data the generalized composite commodity theorem gcct and testing procedure is extended to test for consistent aggregation of the united states and mexican agricultural production data in each category for which earlier tests rejected homothetic separability nonrejected gcct and separability hypotheses provide empirical support for aggregating all the united states agricultural outputs into as few as two categories crops and livestock mexican agricultural outputs also can be aggregated into as few as two categories support for aggregating all outputs into a single category is ambiguous in both countries and is only provided by the gcct

measurement of total factor productivity growth and biases in technological change in western australian agriculture this study investigates productivity growth in broad acre agriculture in western australia tornqvist indices of three output groups crops sheep products and other and five input groups livestock materials and services labour capital and land are constructed and discussed indices of total output and total inputs are also derived and used to form an index of total factor productivity that is observed to grow at an average annual rage of 2 7 the input and output indices are also used in the estimation of output supply and input demand equations derived from a flexible profit function the generalized mcfadden functional form is used because it is possible to impose global curvature upon it without loss of flexibility asymptotic chi square tests reject the hypotheses of hicks neutral technical change in inputs and in outputs technical change is observed to be materials and services saving relative to the other input groups and also appears to favour wool and sheepmeat production relative to the other output groups

a long march perspective on tobacco use in canada in this paper we present a model of tobacco demand in canada with a view to establishing if price and tax policy on the one hand or educational regulatory and demographic influences on the other have been primarily responsible for the substantial drop in consumption since 1980 we address some methodological and econometric issues that have escaped the attention of some analysts to this point using data for the period 1972 2000 we find that non price developments have had a strong deterrent effect and that the price elasticity of demand is now lower than even the recently obtained low estimates propose these findings have strong public policy content jel classification i12 c13 c22 une perspective de longue haleine sur l usage du tabac au canada dans ce memoire on presente un modele de la demande de tabac au canada en vue d etablir laquelle des deux strategies d une part la politique de prix et d imposition de taxes et d autre part les influences de l education de la reglementation ainsi que les changements demographiques a ete davantage responsable de la chute importante dans la consommation du tabac depuis 1980 le texte examine certains problemes methodologiques et econometriques qui ont jusqu ici echappea l attention des analystes a l aide de donnees pour la periode 1972 2000 on montre que les facteurs qui n ont rien a voir avec le prix ont eu un fort effet dissuasif et que l elasticite de la demande par rapport au prix est maintenant plus faible que les faibles elasticites suggerees par certaines etudes recentes ces resultats ont une grande importance pour la politique publique

much ado about two reconsidering retransformation and the two part model in health econometrics in health economics applications involving outcomes y and covariates x it is often the case that the central inferential problems of interest involve e y x and its associated partial effects or elasticities many such outcomes have two fundamental statistical properties y 0 and the outcome y 0 is observed with sufficient frequency that the zeros cannot be ignored econometrically this paper 1 describes circumstances where the standard two part model with homoskedastic retransformation will fail to provide consistent inferences about important policy parameters and 2 demonstrates some alternative approaches that are likely to prove helpful in applications

the production structure and demand for labor in postwar japanese agriculture 1952 82 this paper analyzes the factor relations of postwar japanese agriculture to identify the factors which explain a significant decline in labor in the agricultural sector a nonhomothetic and hicks non neutral translog cost function is estimated the results of the decomposition analysis based on the estimates show that biased technical changes and nonhomotheticity together with price induced factor substitutions play an important role in easing the transfer of agricultural labor to the nonagricultural sectors the results also suggest that the biased technical change is consistent with the hicksian induced innovation hypothesis

habit formation and demand for sugar sweetened beverages using scanner data we estimated demand for nine nonalcoholic beverages under habit formation we found strong evidence for habit formation although demand for sugar sweetened beverages by low income households is less elastic to own price changes compared with high income households there is evidence that high income households consider beverages to be more substitutable than low income households do a half cent per ounce tax on store purchased sugar sweetened beverages will result in a moderate reduction in consumption of sugar sweetened beverages for both income strata because of habit formation long run national tax revenue from a sugar sweetened beverage tax is about 15 to 20 lower than short run revenue

a theory of rational addiction we develop a theory of rational addiction in which rationality means a consistent plan to maximize utility over time strong addiction to a good requires a big effect of past consumption of the good on current consumption such powerful complementarities cause some steady states to be unstable they are an important part of our analysis because even small deviations from the consumption at an unstable steady state can lead to large cumulative rises over time in addictive consumption or to rapid falls in consumption to abstention our theory also implies that cold turkey is used to end strong addictions that addicts often go on binges that addicts respond more to permanent than to temporary changes in prices of addictive goods and that anxiety and tensions can precipitate an addiction

supply demand and technology in a multiproduct industry texas field crops the purpose of this paper is to examine the structure of agricultural production for six texas field crops cotton grain sorghum wheat corn rice and hay which account for nearly 95 of recent field crop value specific objectives are to a test the structure of technology to determine i if output and input utilization choices for individual products are independent of production decisions about other outputs and ii if products and or inputs can be consistently aggregated b estimate a coherent set of interrelated supply functions for the six commodities and input demand functions for fertilizer and hired labor because the empirical focus of this paper is specific to one state the results will be of limited value for interpreting specific production relationships elsewhere however the problem is of common interest in production agriculture and the techniques used demonstrate an important application of dual modeling

supplanting the minnesota prior forecasting macroeconomic time series using real business cycle model priors abstract although general equilibrium models are in wide use in the theoretical macroeconomic literature their empirical relevance is uncertain we develop procedures for using dynamic general equilibrium models to aid in analyzing the observed time series relationships among macroeconomic variables our strategy is based on that developed by doan litterman and sims 1984 who constructed a procedure for improving time series forecasts by shrinking vector autoregression coefficient estimates toward a prior view that vector time series are well described as collections of independent random walks in our case the prior is derived from a fully specified general equilibrium model we demonstrate that like the atheoretical random walk priors real business cycle model priors can aid in forecasting

estimating price elasticities when there is smuggling the sensitivity of smoking to price in canada a central parameter for evaluating tax policies is the price elasticity of demand for cigarettes but in many countries this parameter is difficult to estimate reliably due to widespread smuggling which significantly biases estimates using legal sales data an excellent example is canada where widespread smuggling in the early 1990s in response to large tax increases biases upwards the response of legal cigarette sales to price we surmount this problem through two approaches excluding the provinces and years where smuggling was greatest and using household level expenditure data on smoking these two approaches yield a tightly estimated elasticity in the range of 0 45 to 0 47 we also show that the sensitivity of smoking to price is much larger among lower income canadians in the context of recent behavioral models of smoking whereby higher taxes reduce unwanted smoking among price sensitive populations this finding suggests that cigarette taxes may not be as regressive as previously suggested finally we show that price increases on cigarettes do not increase and may actually decrease consumption of alcohol as a result smuggling of cigarettes may have raised consumption of alcohol as well

monetary policy analysis with potentially misspecified models abstract the paper proposes a novel method for conducting policy analysis with potentially misspecified dynamic stochastic general equilibrium dsge models and applies it to a new keynesian dsge model along the lines of christiano eichenbaum and evans jpe 2005 and smets and wouters jeea 2003 we first quantify the degree of model misspecification and then illustrate its implications for the performance of different interest rate feedback rules we find that many of the prescriptions derived from the dsge model are robust to model misspecification jel classification c32 key words bayesian analysis dsge models model misspecification 1 introduction the quantitative evaluation of monetary policy rules plays an important role in the design of stabilization policies much of the recent debate about optimal monetary policy rules has been carried out with new keynesian dynamic stochastic general equilibrium dsge models see woodford 2003 dsge models have the advantage that one can explicitly assess the effect of policy regime changes on expectation formation and decision rules of private agents yet until recently these models were scarcely used by central banks because they were perceived as being inferior to less structural model in terms of fit recent work by christiano eichenbaum and evans 2005 and smets and wouters 2003 has changed this perception these papers show that the fit of large scale new keynesian dsge models is comparable to that of more heavily parameterized models as a consequence a number of central banks have begun to show interest in these models as tools for quantitative policy analysis despite the success in improving the empirical performance of dsge models misspecification remains a concern as shown in del negro schorfheide smets and wouters 2004 accounting for misspecification and model uncertainty in general is an important aspect of the assessment of monetary policies after all it has long been recognized that model and parameter uncertainty affects optimal policies e g brainard 1967 chow 1975 and craine 1979 1 this paper proposes a new method for taking model misspecification into account when assessing the performance of alternative interest rate feedback rules we apply this approach to evaluate different policies in the context of a new keynesian dsge model including the estimated volcker greenspan rule a natural approach in the presence of model uncertainty is to evaluate policy rules within all the model specifications that are under consideration in choosing the best performing rule one can either follow a bayesian route assigning probabilities to models and minimizing the overall posterior expected loss alternatively one can follow a minimax strategy by adopting a policy that minimizes the worst case loss across models the literature contains numerous applications of these ideas e g mccallum 1988 levin wieland and williams 1999 2003 rudebusch 2001 2003 onatski and stock 2002 onatski and williams 2003 brock durlauf and west 2004 cogley and sargent 2005 and hansen and sargent 2005 all these papers differ with regard to the type of models included in the model set and the formulation of the decision problem that leads to the choice of a preferred policy our analysis differs from previous work with respect to the method that is used to construct a model set and assign probabilities to these models so that a bayesian calculation of posterior expected performance is possible we start from a dsge model in which monetary policy is modelled through an interest rate feedback rule the dsge model imposes cross coefficient restrictions on a vector autoregressive representation of the data while we are assuming that the data obey a vector autoregressive law of motion we allow for potential deviations from the cross coefficient restrictions at the same time we maintain the assumption that monetary policy follows the same interest rate rule as in the dsge model

estimating substitution and expansion effects using a profit function framework this study reports a first attempt to derive all the relevant information with respect to the structure of production of an industry using knowledge of only a profit function using estimates of a profit function for canadian agriculture a procedure to separate substitution and expansion effects for both inputs and outputs was implemented information concerning net input and output substitution and complementarity possibilities were obtained the most important empirical results suggest that the hypothesis of nonjoint production of crop and animal outputs in canadian agriculture cannot be rejected and that hired and operator labor are complements rather than substitutes

multiple input multiple output production choices and technology in the u s wheat region duality theory motivates a translog expected profit function consistent with multiple products price uncertainty preseason climate constraints acreage control policies and possibly nonhomothetic technology although multiple outputs are allowed enterprise specific data is not necessary instead time series measures of output revenues and expected prices input expenses and prices and fixed input flows are employed appropriate measures of elasticities of choice returns to size and biases in technological change are derived results indicated decreasing returns to size rather limited though complementary responsiveness of choices to price changes and the nature of biases in technological changes

taxation smuggling and demand for cigarettes in canada evidence from time series data abstract this study analyzes canadian cigarette consumption and taxation between 1980 and 1994 a period in which there have been large price rises and declines and a dramatic increase in the consumption of contraband tobacco products we examine elasticities of legal cigarette sales and total sales including contraband with respect to the price of legal cigarettes and various other factors the growth of the contraband market since 1987 appears to have created two classes of cigarette taxed and untaxed with responses to changes in the legal price that are respectively higher and lower than was previously the case the sensitivity of total cigarette sales to the taxation instrument is much lower than it would appear from sales of taxed cigarettes alone

the structure of u s agricultural technology 1910 78 this paper utilizes 1910 78 time series data and a single product aggregate translog profit function to measure the structure of u s agricultural technology duality relations are used to devise a multifactor measure of biased technical change a measure of nonhomotheticity is introduced which indicates the effects scale change has had on aggregate cost shares the empirical analysis finds that different nonhomothetic technologies characterized the prewar and postwar periods differing technical change biases are consistent with relative price trends during the two periods showing that the long run structure of u s agricultural technology has been consistent with the hayami ruttan induced innovation theory

taxes cigarette consumption and smoking intensity this paper analyses the compensatory behavior of smokers exploiting data on cotinine concentration a metabolite of nicotine measured in a large population of smokers over time we show that smokers compensate for tax hikes by extracting more nicotine per cigarette our study makes two important contributions first as smoking a given cigarette more intensively is detrimental to health our results question the usefulness of tax increases second we develop a model of rational addiction where agents can also adjust their intensity of smoking and we show that the previous empirical results suffer from estimation biases

a translog cost function analysis of u s agriculture 1939 77 over the past four decades major changes have occurred in u s agriculture a new era in agricultural production in the united states began in 1939 world war ii gave a boost to agriculture still bogged in the depression productivity increases over the period 1939 77 have been quite impressive measured crudely by the ratio of the indices of output and input the productivity index 1967 100 increased from 59 in 1939 to 119 in 1977 to study this phenomenon a multi input translog cost function incorporating hicks neutral technical change hntc was specified annual timeseries data for the united states was used to estimate the model neoclassical duality theory provides an approach for computing the pairwise elasticities of substitution between inputs for each year as well as the annual own and cross price elasticities of demand for inputs

priors from general equilibrium models for vars abstract this paper uses a simple new keynesian dynamic stochastic general equilibrium model as a prior for a vector autoregression shows that the resulting model is competitive with standard benchmarks in terms of forecasting and can be used for policy analysis jel classification c11 c32 c53 key words bayesian analysis dsge models forecasting vector autoregressions 1 introduction dynamic stochastic general equilibrium dsge models are popular nowadays in macroeconomics they are taught in virtually every economics ph d program and represent a predominant share of publications in the field yet when it comes to policy making these models are scarcely used at least from a quantitative point of view the main quantitative workhorse for policy making at the federal reserve system is frb us a macro econometric model built in the cowles foundation tradition a style of macroeconomics that is no longer taught in many ph d programs 1 in their decision process fed policy makers rely heavily on forecasting they want to know the expected path of inflation in the next few quarters and by how much a 50 basis point increase in the federal funds rate would affect that path frb us offers answers to these questions answers that many macroeconomists would regard with suspicion given both the lucas 1976 critique and the fact that in general the restrictions imposed by cowles foundation models are at odds with dynamic general equilibrium macroeconomics sims 1980 general equilibrium models on the other hand have a hard time providing alternative answers the fact that these models are perceived to do badly in terms of forecasting as they are scarcely parameterized is perhaps one of the reasons why they are not at the forefront of policy making while progress is being made in the development of dsge models that deliver acceptable forecasts e g smets and wouters 2003 this paper proposes an approach that combines a stylized general equilibrium model with a vector autoregression var to obtain a specification that both forecasts well and is usable for policy analysis specifically the approach involves using prior information coming from a dsge model in the estimation of a vector autoregression loosely speaking this prior can be thought of as the result of the following exercise i simulate time series data from the dsge model ii fit a var to these data in practice we replace the sample moments of the simulated data by population moments computed from the dsge model solution since the dsge model depends on unknown structural parameters we use a hierarchical prior in our analysis by placing a distribution on the dsge model parameters a tightness parameter controls the weight of the dsge model prior relative to the weight of the actual sample markov chain monte carlo methods are used to generate draws from the joint posterior distribution of the var and dsge model parameters the paper shows that the approach makes even a fairly stylized new keynesian dsge model competitive with standard benchmarks in terms of forecasting real output growth inflation and the nominal interest rate the three variables that are of most interest to policy makers 2 up to this point our procedure borrows from the work of dejong ingram and whiteman 1993 and ingram and whiteman 1994 who are the first to use priors from dsge models for vars ingram and whiteman showed that prior information from the bare bones stochastic growth model of king plosser and rebelo 1988 is helpful in forecasting real economic activity such as output consumption investment and hours worked in addition to documenting the forecasting performance of a trivariate var with a prior derived from a monetary dsge model this paper makes two contributions that significantly extend the earlier work first we show formally how posterior inference for the var parameters can be translated into posterior inference for dsge model parameters

on the precision of calvo parameter estimates in structural nkpc models abstract we study the extent of empirical information that can be obtained from alternative structural new keynesian inflation equations concerning the average duration of prices in the united states given that such specifications may be hard to identify using four different indexation and real wage rigidity based models in conjunction with identification robust econometric methods we evaluate the precision of calvo parameter estimates while results are sensitive to calibration and instrument selection we find confidence bounds on the average duration of prices that line up with available micro founded studies statistically significant coefficients for the forcing variables and non zero estimates on the coefficient of lagged inflation

the output bias of technological change in postwar japanese agriculture in order to explain the rapid change in the output mix this study tests the hypothesis that technological change in postwar japanese agriculture was biased towards livestock production a multioutput translog cost function was estimated for the 1958 84 period in which results are consistent with the hypothesis furthermore changes in the composition of crop and livestock production had significant impacts on relative factor uses above all expanding livestock production required relatively less labor than expanding crop production implying a positive contribution to the rapid exodus of labor to the nonagricultural sectors