forming priors for dsge models and how it affects the assessment of nominal rigidities abstract we discuss prior elicitation for the parameters of dynamic stochastic general equilibrium dsge models and provide a method for constructing prior distributions for a subset of these parameters from beliefs about steady state relationships and second moments of the endogenous variables the empirical application documents how the specification of the prior distribution affects our assessment of the relative importance of price and wage rigidities in a new keynesian dsge model

the economic and environmental impact of a carbon tax for scotland a computable general equilibrium analysis using a disaggregated energy economy environmental model we investigate the economic and environmental impact of a scottish specific carbon tax under three alternative assumptions about the use of the revenue raised by the tax revenues raised are not recycled within scotland revenues are used to increase general government expenditure or to reduce scottish income tax we find that by imposing a tax of 50 per tonne of co2 the 37 co2 reduction target is met with a very rapid adjustment in all three cases if the model incorporates forward looking behaviour however the adjustment is much slower if agents are myopic in addition the results of the model suggest that a carbon tax might simultaneously stimulate economic activity whilst reducing emissions and thus secure a double dividend but only for the case in which the revenue is recycled through income tax

exploring the impacts of a carbon tax on the chinese economy using a cge model with a detailed disaggregation of energy sectors abstract this paper applies a computable general equilibrium model to investigate the impacts of a carbon tax on china s economy and carbon emissions based on china s 2010 input output table to obtain robust simulation results we further disaggregate the energy sectors into eight departments according to energy use characteristics the empirical results indicate that a moderate carbon tax would significantly reduce carbon emissions and fossil fuel energy consumption and slightly reduce the pace of economic growth however a large carbon tax has a significantly negative impact on china s economy and social welfare moreover a large carbon tax would entail marked price changes in china of the fossil fuels in use reducing coal consumption would have the greatest impact on reducing carbon emissions and the ad valorem duty rate for coal would be the highest after levying a carbon tax because it has the highest carbon emission coefficient therefore china should strive to promote clean coal technology which may be crucial to reducing carbon emissions moreover levying a carbon tax would improve the use of clean energy which would be an effective means of reducing carbon emissions therefore the chinese government should formulate the regulations for and pass a carbon tax as early as possible to achieve its carbon emission abatement target and further contribute to mitigating climate change

comparing new keynesian models of the business cycle a bayesian approach abstract the baseline new keynesian model cannot replicate the observed persistence in inflation output and real wages for sensible parameter values as a result several extensions have been suggested to improve its fit to the data we use a bayesian approach to estimate and compare the baseline sticky price model of calvo s 1983 staggered prices in a utility maximizing framework journal of monetary economics 12 383 398 and three extensions our empirical results are as follows first we find that adding price indexation improves the fit of calvo s 1983 staggered prices in a utility maximizing framework journal of monetary economics 12 383 398 model second models with both staggered price and wage setting dominate models with only price rigidities third introducing wage indexation does not significantly improve the fit fourth all model estimates suggest a high degree of price stickiness fifth the estimates of labor supply elasticity are higher in models with both staggered price and wage contracts finally the estimated inflation parameters of the taylor rule are stable across models

man bites dog business cycles the newsworthiness of an event is partly determined by how unusual it is and this paper investigates the business cycle implications of this fact signals that are more likely to be observed after unusual events may increase both uncertainty and disagreement among agents in a simple business cycle model such signals can explain why we observe i occasional large changes in macro economic aggregate variables without a correspondingly large change in underlying fundamentals ii persistent periods of high macroeconomic volatility and iii a positive correlation between absolute changes in macro variables and the cross sectional dispersion of survey expectations

news noise and fluctuations an empirical exploration a common view of the business cycle gives a central role to anticipations consumers and firms continuously receive information about the future which is sometimes news and sometimes just noise based on this information consumers and firms choose spending and because of nominal rigidities spending affects output in the short run if ex post the information turns out to be news the economy adjusts gradually to a new level of activity if it turns out to be just noise the economy returns to its initial state therefore the dynamics of news and noise generate both short run and long run changes in aggregate activity this view appears to capture many of the aspects often ascribed to fluctuations the role of animal spirits in affecting demand spirits coming here from a rational reaction to information about the future the role of demand in affecting output in the short run together with the notion that in the long run output follows a natural path determined by fundamentals in this paper we examine whether this view is consistent with the data we reach three main conclusions the first two methodological the third substantive structural vars typically cannot recover news and noise shocks the reason is straightforward if agents face a signal extraction problem and are unable to separate news from noise then the econometrician faced with either the same data as the agents or a subset of these data cannot do it either while structural estimation methods cannot recover the actual time series for news and noise shocks either they can recover underlying structural parameters and thus the relative role and dynamic effects of news and noise shocks estimation of both a simple model and then of a more elaborate dsge model suggest that agents indeed solve such a signal extraction problem and that noise shocks play an important role in determining short run dynamics recent efforts to estimate business cycle models in which expectations about the future play an important role include christiano et al 2010 and schmitt grohe and uribe 2012 those papers follow the approach of jaimovich and rebelo 2009 and model news as perfectly anticipated productivity changes that will occur at

achieving co2 reductions in colombia effects of carbon taxes and abatement targets in this paper we investigate co2 emission scenarios for colombia and the effects of implementing carbon taxes and abatement targets on the energy system by comparing baseline and policy scenario results from two integrated assessment partial equilibrium models tiam ecn and gcam and two general equilibrium models phoenix and meg4c we provide an indication of future developments and dynamics in the colombian energy system currently the carbon intensity of the energy system in colombia is low compared to other countries in latin america however this trend may change given the projected rapid growth of the economy and the potential increase in the use of carbon based technologies climate policy in colombia is under development and has yet to consider economic instruments such as taxes and abatement targets this paper shows how taxes or abatement targets can achieve significant co2 reductions in colombia though abatement may be achieved through different pathways taxes and targets promote the entry of cleaner energy sources into the market and reduce final energy demand through energy efficiency improvements and other demand side responses the electric power sector plays an important role in achieving co2 emission reductions in colombia through the increase of hydropower the introduction of wind technologies and the deployment of biomass coal and natural gas with co2 capture and storage ccs uncertainty over the prevailing mitigation pathway reinforces the importance of climate policy to guide sectors toward low carbon technologies this paper also assesses the economy wide implications of mitigation policies such as potential losses in gdp and consumption an assessment of the legal institutional social and environmental barriers to economy wide mitigation policies is critical yet beyond the scope of this paper

expectations learning and business cycle fluctuations this paper explores an alternative theory based on learning dynamics in the con text of an otherwise standard stochastic growth model we consider an environment in which households and firms have an incomplete model of the macroeconomy knowing only their own objectives constraints and beliefs agents are optimizing have a completely specified belief system but do not know the equilibrium map ping between primitive disturbances the aggregate state of the economy and mar ket clearing prices by extrapolating from historical patterns in observed data they approximate this mapping to forecast variables that are exogenous to their decision problems such as the rental rate of capital and the real wage this belief structure has the property that beliefs affect the true data generating process of the economy which in turn affects belief formation the economy is therefore self referential shifts in beliefs about future returns to labor and capital affect current market clear ing prices which in turn can reinforce beliefs in this environment current prices can become less informative about future economic conditions generating fluctuations in real activity this kind of mechanism driving business cycle fluctuations is found in early writ ings on macroeconomic dynamics for example alfred c pigou 1927 on page 122 writes

the expectations driven us current account during the 1990s and 2000s survey expectations of long run output growth for the u s relative to the rest of the world were highly correlated with the u s current account and thus with global imbalances we show that this finding is to a large extent predicted by a two region stochastic growth model simulated using expected trend growth based on surveys in line with the intertemporal approach to the current account a major part of the buildup and subsequent reversal of the u s current account de cit appears to be consistent with an optimal response of households and firms to changing growth prospects this article is protected by copyright all rights reserved

growth expectations undue optimism and short run fluctuations this paper proposes a two step procedure in order to identify belief shocks shocks to expectations about the current state of the economy first we use the survey of professional forecasters to me

reputational and nonreputational policies under partial information abstract this paper analyses the effect of partial information on optimal policy design for stochastic macroeconomic models incorporating forward looking expectations the main theoretical result is that reputational and nonreputational policies are certainty equivalent as has previously been conjectured and it is also shown that the welfare loss does not necessarily increase with decreasing information of particular additional interest in the analysis of reputational policy design is the issue of sustainability and it is shown using an example that weak sustainability may be information dependent

fiscal foresight and information flows news or foresight about future economic fundamentals can create rational expectations equilibria with non fundamental representations that pose substantial challenges to econometric efforts to recover the structural shocks to which economic agents react using tax policies as a leading example of foresight simple theory makes transparent the economic behavior and information structures that generate non fundamental equilibria econometric analyses that fail to model foresight will obtain biased estimates of output multipliers for taxes biases are quantitatively important when two canonical theoretical models are taken as data generating processes both the nature of equilibria and the inferences about the effects of anticipated tax changes hinge critically on hypothesized information flows different methods for extracting or hypothesizing the information flows are discussed and shown to be alternative techniques for resolving a non uniqueness problem endemic to moving average representations

indicator variables for optimal policy under asymmetric information the optimal weights on indicators in models with partial information about the state of the economy and forward looking variables are derived and interpreted both for equilibria under discretion and under commitment the private sector is assumed to have more information about the state of the economy than the policymaker certainty equivalence holds for the optimal reaction function in state space form t he coefficients are independent of the degree of uncertainty about the state of the economy however in the case of commitment certainty equivalence does not hold for the reaction function in integrative form the policy instrument cannot be written as a distributed lag of past estimates of past states of the economy instead optimal policy will generally depend on new estimates of past states of the economy and in ways that depend on the information structure furthermore the usual separation principle does not hold since the estimation of the state of the economy is not independent of optimization and is in general quite complex we present a general characterization of optimal filtering and control in settings of this kind and discuss an application of our methods to the problem of the optimal use of real time macroeconomic data in the conduct of monetary policy

consumer misperceptions uncertain fundamentals and the business cycle abstract this paper estimates the importance of shocks to consumer misperceptions noise shocks for u s business cycle fluctuations i embed imperfect information as in lorenzoni 2009 into a smets and wouters 2007 type dsge model agents only observe aggregate productivity and a signal about the permanent component contaminated with noise based on this information agents form beliefs about the temporary and the permanent component of productivity shocks to the signal noise shocks trigger aggregate fluctuations unrelated to changes in productivity bayesian estimation shows that noise shocks explain up to 14 percent of output and up to 25 percent of consumption fluctuations nominal rigidities and the specification of the monetary policy rule are crucial for the importance of noise shocks these features help to resolve conflicting results in the previous literature

examining the economic and environmental effects of emissions policies in china a bayesian dsge model abstract the purpose of this study is to build an energy emissions economy dynamic stochastic general equilibrium model to examine the economic and environmental effects of the carbon tax and carbon intensity target the model is calibrated to china s economy the results show that both the carbon tax and carbon intensity target policies have a negative effect on china s economy and environment however the carbon tax exerts more negative effects on the economy and environment than the carbon intensity target moreover the carbon tax shock lasts shorter than the carbon intensity target shock the findings additionally indicate that the effects of the increase in the productivity of energy sectors are greater than those of the increase in the productivity of other sectors thanks to the low carbon technology shock china s carbon dioxide emissions will reduce and output will increase taken together this study highlights the key policy implications associated with the results

investment shocks and business cycles abstract the origins of business cycles are still controversial among macroeconomists this paper contributes to this debate by studying the driving forces of fluctuations in an estimated new neoclassical synthesis model of the u s economy in this model most of the variability of output and hours at business cycle frequencies is due to shocks to the marginal efficiency of investment imperfect competition and to a lesser extent technological frictions are the key to their transmission although labor supply shocks explain a large fraction of the fluctuations in hours at very low frequencies they are irrelevant over the business cycle this finding is important because the microfoundations of these disturbances are widely regarded as unappealing

an exploration into pigou s theory of cycles abstract this paper explores a theory of business cycles in which recessions and booms arise due to difficulties encountered by agents in properly forecasting the economy s future needs in terms of capital the idea has a long history in the macroeconomic literature as reflected by the work of pigou industrial fluctuation macmillan london 1926 the contribution of this paper is twofold first we illustrate the type of general equilibrium structure that can give rise to such phenomena second we examine the extent to which such a model can explain the observed pattern of u s recessions frequency depth without relying on technological regress we argue that such a model offer a framework for understanding elements of both the recent u s recession and of the asia downturns of the late 1990s

a theory of demand shocks this paper presents a model of business cycles driven by shocks to consumer expectations regarding aggregate productivity agents are hit by heterogeneous productivity shocks they observe their own productivity and a noisy public signal regarding aggregate productivity the public signal gives rise to noise shocks which have the features of aggregate demand shocks they increase output employment and inflation in the short run and have no effects in the long run numerical examples suggest that the model can generate sizable equilibrium dsge models of the business cycle include a large number of shocks to technol ogy monetary policy preferences etc but typically do not include expectational shocks as independent drivers of short run fluctuations 1 this paper explores the idea of expectation driven cycles looking at a model where technology determines equilibrium output in the long run and consumers receive noisy signals about technology in the short run the presence of noisy signals produces expectational errors this paper studies the role of these expectational errors in gener ating volatility at business cycle frequencies the model is based on two ingredients first consumers take time to recognize permanent changes in aggregate fundamentals although they may have good information on the current state of the individual firm or sector where they operate they have only limited information regarding the long run determinants of aggregate activity second consumers have access to public information that is relevant to estimate long run productivity this includes news about technological innovations publicly released macroeconomic and sectoral statistics financial market prices and public statements by policy makers however these signals provide only a noisy forecast of the long run effects of technological innovations this opens the door to noise shocks which induce consumers to temporarily overestimate or underestimate the productive capacity of the economy

information animal spirits and the meaning of innovations in consumer confidence we show that unexplained innovations in several variables representing survey responses to forwardlooking questions on the michigan survey of consumers have powerful prognostic implications for the future paths of macroeconomic variables we attempt to distinguish the hypothesis that these impulse responses indicate a causal channel from autonomous movements in sentiment to economic outcomes the animal spirits view from the alternative interpretation that the surprise confidence movements summarize information about future economic prospects the information view in natural rate models animal spirits shocks are associated with overshooting of among other variables consumption that attenuates when agents come to grips with their overreaction while information shocks about the long future are followed by gradual movements in macroeconomic variables that are not subsequently reversed in a baseline vector autoregression involving consumption income and confidence the data come down sharply in favor of the information view the impulse responses of consumption and gdp show no tendency to attenuate even after a number of years further confidence innovations have strong implications for labor productivity many quarters into the future in somewhat larger vars with an information block that includes inflation and or stock prices the impulse responses to confidence innovations continue to have the permanent shape that defines information shocks but they are smaller in magnitude we demonstrate that this is due to the fact that both inflation and stock price innovations have prognostic implications for future productivity that are very similar to the implications of innovations in confidence addition of unemployment to the system induces a transitory component that changes the shape of the impulse responses and somewhat weakens the previously airtight case against animal spirits but it does not provide constructive evidence of such effects

local identification in dsge models abstract the issue of identification arises whenever structural models are estimated lack of identification means that the empirical implications of some model parameters are either undetectable or indistinguishable from the implications of other parameters therefore identifiability must be verified prior to estimation this paper provides a simple method for conducting local identification analysis in linearized dsge models estimated in both full and limited information settings in addition to establishing which parameters are locally identified and which are not researchers can determine whether the identification failures are due to data limitations such as lack of observations for some variables or whether they are intrinsic to the structure of the model the methodology is illustrated using a medium scale dsge model

optimal sticky prices under rational inattention this paper presents a model in which price setting firms decide what to pay attention to subject to a constraint on information flow when idiosyncratic conditions are more variable or more important than aggregate conditions firms pay more attention to idiosyncratic conditions than to aggregate conditions when we calibrate the model to match the large average absolute size of price changes observed in micro data prices react fast and by large amounts to idiosyncratic shocks but only slowly and by small amounts to nominal shocks nominal shocks have strong and persistent real effects we use the model to investigate how the optimal allocation of attention and the dynamics of prices depend on the firms environment jel e 3 e5 d8

implications of rational inattention abstract a constraint that actions can depend on observations only through a communication channel with finite shannon capacity is shown to be able to play a role very similar to that of a signal extraction problem or an adjustment cost in standard control problems the resulting theory looks enough like familiar dynamic rational expectations theories to suggest that it might be useful and practical while the implications for policy are different enough to be interesting