frontiers of real time data analysis in the past ten years researchers have explored the impact of data revisions in many different contexts researchers have examined the properties of data revisions how structural modeling is affected by data revisions how data revisions affect forecasting the impact of data revisions on monetary policy analysis and the use of real time data in current analysis this paper summarizes many of the questions for which real time data analysis has provided answers in addition researchers and institutions have developed better real time data sets around the world still additional research is needed in key areas and research to date has uncovered even more fruitful areas worth exploring jel c52 c53 c80 e01

the predictive content of the output gap for inflation resolving in sample and out of sample evidence this paper evaluates potential explanations for the sometimes poor forecasting performance of the phillips curve one explanation is that out of sample metrics are noisy or equivalently have relatively low power another potential explanation is instability in the coefficients of the model to assess these forces this paper compares sample forecasting results to results from bootstrap simulations of models that either assume stability or allow breaks in the coefficients of the model this analysis indicates that a significant portion of the weakness of the out of sample evidence is attributable to power limitations but instabilities in the coefficients on the output gap also play a role

the drivers of international migration to the uk a panel based bayesian model averaging approach a heterogeneous panel based bayesian model averaging approach is used to identify the robust economic and policy drivers of international migration to the uk from 14 different source regions over 1980 2007 around three quarters of the increase in net immigration over the last decade which is particularly pronounced for selected source regions is associated with structural change which may be attributed to uk and foreign immigration policy the remainder of the rise is largely explained by friends and family effects there are considerable uncertainties associated both with the effects of particular economic drivers of immigration and with forecasts of immigration

growth miracles and failures in a markov switching classification model of growth abstract in this paper economic growth is interpreted as a sequence of transitions between distinct growth regimes that countries visit with different frequencies countries featuring similar growth dynamics are endogenously grouped into three different clusters the first cluster comprises successful countries that are characterized by lengthy periods of high or very high growth moderately successful countries in the second cluster experience both periods of reasonable growth and periods of stagnation whereas failing countries in the third cluster suffer from highly volatile growth rates with frequent episodes of crisis successful countries are characterized by better initial conditions policies and institutions compared to the other countries neither initial conditions nor institutions distinguish moderately successful from failing countries what makes them different is policy in the form of investments into infrastructure and human capital trade liberalization and limited policy volatility

nominal income targeting in an open economy optimizing model abstract this paper presents simulation results regarding the performance of nominal income targeting a monetary policy rule that sets interest rates in response to deviations of nominal gdp growth from a target path the macroeconomic model is one in which agents solve dynamic optimization problems with rational expectations but in an environment with slow price adjustments in the present version consumption choices reflect habit formation and the economy is open to international flows of goods and securities when calibrated to quarterly us data the model s results suggest that nominal income targeting performs well in relation to inflation targeting and taylor rules

asymmetric forecast densities for u s macroeconomic variables from a gaussian copula model of cross sectional and serial dependence most existing reduced form macroeconomic multivariate time series models employ elliptical disturbances so that the forecast densities produced are symmetric in this article we use a copula model with asymmetric margins to produce forecast densities with the scope for severe departures from symmetry empirical and skew t distributions are employed for the margins and a high dimensional gaussian copula is used to jointly capture cross sectional and multivariate serial dependence the copula parameter matrix is given by the correlation matrix of a latent stationary and markov vector autoregression var we show that the likelihood can be evaluated efficiently using the unique partial correlations and estimate the copula using bayesian methods we examine the forecasting performance of the model for four u s macroeconomic variables between 1975 q1 and 2011 q2 using quarterly real time data we find that the point and density forecasts from the copula model are competitive with those from a bayesian

price density forecasts in the u s hog markets composite procedures we develop and evaluate quarterly out of sample individual and composite density forecasts for u s hog prices individual density forecasts are generated using time series models and the implied distributions of usda and iowa state university outlook forecasts composite density forecasts are constructed using linear and logarithmic combinations of the individual forecasts and several weighting schemes density forecasts are evaluated on predictive accuracy sharpness goodness of fit calibration and their economic value in a hedging simulation logarithmic combinations using equal and mean square error weights outperform all individual density forecasts and are modestly better than linear composites comparison of the outlook forecasts to the best composite demonstrates the usefulness of the composite procedure and identifies the economic value that more accurate expected price probability distributions can provide to producers

real time density forecasts from bayesian vector autoregressions with stochastic volatility central banks and other forecasters are increasingly interested in various aspects of density forecasts however recent sharp changes in macroeconomic volatility including the great moderation and the more recent sharp rise in volatility associated with increased variation in energy prices and the deep global recession pose significant challenges to density forecasting accordingly this paper examines with real time data density forecasts of u s gdp growth unemployment inflation and the federal funds rate from bayesian vector autoregression bvar models with stochastic volatility the results indicate that adding stochastic volatility to bvars materially improves the real time accuracy of density forecasts this article has supplementary material online

stability of a uk money demand equation a bayesian approach to testing exogeneity the paper analyses an m3 demand for money equation for the united kingdom attention is paid to the policy change that occurred in 1971 with the introduction of the measure known as competition and credit control classical and bayesian single equation instrumental variables procedures are developed to investigate the exogeneity of the short term interest rate and the constancy of the parameters of the underlying relationships the parameters of the short term equation have changed as well as the exogeneity status of the interest rate variable but the parameters of the long term equation appear to be less affected by the policy change

a new index of financial conditions we use factor augmented vector autoregressive models with time varying coefficients and stochastic volatility to construct a financial conditions index that can accurately track expectations about growth in key us macroeconomic variables time variation in the models parameters allows for the weights attached to each financial variable in the index to evolve over time furthermore we develop methods for dynamic model averaging or selection which allow the financial variables entering into the financial conditions index to change over time we discuss why such extensions of the existing literature are important and show them to be so in an empirical application involving a wide range of financial variables

the dynamic effects of money combining short run and long run identifying restrictions using bayesian techniques this paper proposes a bayesian approach to incorporating specification and identification uncertainty into a var analysis of the dynamic effects of money supply shocks on the macroeconomy the approach follows poirier 1991 in averaging over discrete model specifications in forming posterior densities of the dynamic responses to such shocks two distinct means of identifying money supply shocks are considered here one that imposes contemporaneous restrictions and one that imposes long run monetary neutrality i estimate bounds on dynamic responses that account for specification and parameter uncertainty and find strong evidence of short run real effects of money on the economy including a liquidity effect for both long term and short term interest rates furthermore some results differ substantially across identifying restrictions if model uncertainty is ignored

money income prices and interest rates including data from the 1980s sharply weakens the postwar time series evidence indicating significant relationships between money however defined and nominal income or between money and either real income or prices separately focusing on data from 1970 onward destroys this evidence altogether evidence indicating cointegration of real income and real money balances with due allowance for the effect of interest rates also deteriorates when the sample extends through the 1980s a positive finding is that the spread between the commercial paper rate and the treasury bill rate consistently contains highly significant information about future movements in real income copyright 1992 by american economic association

interpreting euro area inflation at high and low frequencies abstract several authors have recently interpreted the european central bank s ecb s two pillar framework as separate approaches to forecast and analyse inflation at different time horizons or frequency bands the ecb has publicly supported this understanding of the framework this paper presents further evidence on the behaviour of euro area inflation using band spectrum regressions which allow for a natural definition of the short and long run in terms of specific frequency bands and causality tests in the frequency domain the main finding is that variations in inflation are well explained by low frequency movements of money and real output growth and high frequency fluctuations of the output gap

macroeconomic forecasting and structural change the aim of this paper is to assess whether explicitly modeling structural change increases the accuracy of macroeconomic forecasts we produce real time out of sample forecasts for inflation the unemployment rate and the interest rate using a time varying coefficients var with stochastic volatility tv var for the us the model generates accurate predictions for the three variables in particular for inflation the tv var outperforms in terms of mean square forecast error all the competing models fixed coefficients vars time varying ars and the na ove random walk model these results are also shown to hold over the period commonly referred to as the great moderation

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

evaluating the bank of england density forecasts of inflation we consider evaluating the uk monetary policy committee s inflation density forecasts using probability integral transform goodness of fit tests these tests evaluate the whole forecast density we also consider whether the probabilities assigned to inflation being in certain ranges are well calibrated where the ranges are chosen to be those of particular relevance to the mpc given its remit of maintaining inflation rates in a band around per annum finally we discuss the decision based approach to forecast evaluation in relation to the mpc forecasts

short term gdp forecasting with a mixed frequency dynamic factor model with stochastic volatility in this article we develop a mixed frequency dynamic factor model in which the disturbances of both the latent common factor and of the idiosyncratic components have time varying stochastic volatilities we use the model to investigate business cycle dynamics in the euro area and present three sets of empirical results first we evaluate the impact of macroeconomic releases on point and density forecast accuracy and on the width of forecast intervals second we show how our setup allows to make a probabilistic assessment of the contribution of releases to forecast revisions third we examine point and density out of sample forecast accuracy we find that introducing stochastic volatility in the model contributes to an improvement in both point and density forecast accuracy supplementary materials for this article are available online

oil prices and global factor macroeconomic variables abstract this paper investigates the relationship between oil prices global industrial production prices central bank policy interest rate and monetary aggregate with a global factor augmented error correction model we confirm the following stylized relationships i at global level money industrial production and prices are cointegrated ii positive innovation in global oil price is connected with global interest rate tightening iii positive innovation in global money price level and industrial production is connected with an increase in oil prices iv positive innovations in global interest rate are associated with a decline in oil prices and v the u s euro area and china are the main drivers of global macroeconomic factors

real time inflation forecasting in a changing world this article revisits the accuracy of inflation forecasting using activity and expectations variables we apply bayesian model averaging across different regression specifications selected from a set of potential predictors that includes lagged values of inflation a host of real activity data term structure data relative price data and surveys in this model average we can entertain different channels of structural instability by either incorporating stochastic breaks in the regression parameters of each individual specification within this average or allowing for breaks in the error variance of the overall model average or both thus our framework simultaneously addresses structural change and model uncertainty that would unavoidably affect any inflation forecast model the different versions of our framework are used to model u s personal consumption expenditures pce deflator and gross domestic product gdp deflator inflation rates for the 1960 2011 period a real time inflation forecast

a game theoretic approach to behavioral food risks the case of grain producers abstract food risks may be caused by malpractice of suppliers who exploit the fact that their production processes and resulting product properties cannot be directly observed by buyers the probability of malpractice increases with the profits that can be earned through opportunistic behavior in this paper we develop a moral hazard model for the empirical analyses of behavioral risks it accounts for the essential fact that incomplete inspection and tracing increase the profitability of rule breaking behavior and that monitoring tracing and sanctioning are costly using the model we first demonstrate how to design efficient contracts in various situations in a case study we then analyze farmers incentives with regard to the minimum waiting period after fungicide use data are gathered in interviews with three large scale german farmers and a grain dealer we find that while their perception of parameters varies widely high temptations for rule breaking arise in some cases we conclude that empirical moral hazard analyses have significant potential to shed light on behavioral risks

the incidence and persistence of corruption in economic development abstract economic development and bureaucratic corruption are determined jointly in a dynamic general equilibrium model of growth bribery and tax evasion corruption arises from the incentives of public and private agents to conspire in the concealment of information from the government these incentives depend on aggregate economic activity which in turn depends on the incidence of corruption the model produces multiple development regimes transition between which may or may not occur in accordance with recent empirical evidence the relationship between corruption and development is predicted to be negative

data revisions are not well behaved we document the empirical properties of revisions to major macroeconomic variables in the united states our findings suggest that they do not satisfy simple desirable statistical properties in particular we find that these revisions do not have a zero mean which indicates that the initial announcements by statistical agencies are biased we also find that the revisions are quite large compared to the original variables and they are predictable using the information set at the time of the initial announcement which means that the initial announcements of statistical agencies are not rational forecasts

inflation targeting as a monetary policy rule the purpose of the paper is to survey and discuss in ation targeting in the context of monetary policy rules the paper provides a general conceptual discussion of monetary policy rules attempts to clarify the essential characteristics of in ation targeting compares in ation targeting to other monetary policy rules and draws some conclusions for the monetary policy of the european system of central banks jel classi cation e42 e52

inference in cointegrating models uk m1 revisited the paper addresses the practical determination of cointegration rank this is difficult for many reasons deterministic terms play a crucial role in limiting distributions and systems may not be formulated to ensure similarity to nuisance parameters finite sample critical values may differ from asymptotic equivalents dummy variables alter critical values often greatly multiple cointegration vectors must be identified to allow inference the data may be 1 2 rather than 1 1 altering distributions and conditioning must be done with care these issues are illustrated by an empirical application of multivariate cointegration analysis to a small model of narrow money prices output and interest rates in the uk copyright 1998 by blackwell publishers ltd

euromind d a density estimate of monthly gross domestic product for the euro area euromind d is a density estimate of monthly gross domestic product gdp constructed according to a bottom up approach pooling the density estimates of eleven gdp components by output and expenditure type the components density estimates are obtained from a medium size dynamic factor model of a set of coincident time series handling mixed frequencies of observation and ragged edged data structures they reflect both parameter and filtering uncertainty and are obtained by implementing a bootstrap algorithm for simulating from the distribution of the maximum likelihood estimators of the model parameters and conditional simulation filters for simulating from the predictive distribution of gdp both algorithms process sequentially the data as they become available in real time the gdp density estimates for the output and expenditure approach are combined using alternative weighting schemes and evaluated with different tests based on the probability integral transform and by applying scoring rules

international evidence on the efficacy of new keynesian models of inflation persistence in this paper we take an agnostic view of the phillips curve debate and carry out an empirical investigation of the relative and absolute efficacy of calvo sticky price sp sticky information si and sticky price with indexation models spi with emphasis on their ability to mimic inflationary dynamics in particular we look at evidence for a group of 13 oecd countries and we consider three alternative measures of inflationary pressure including the output gap labor share and unemployment we find that the calvo sp and the si models essentially perform no better than a strawman constant inflation model when used to explain inflation persistence indeed virtually all inflationary dynamics end up being captured by the residuals of the estimated versions of these models we find that spi model is preferable because it captures the type of strong inflationary persistence that has in the past characterized the economies of the countries in our sample however two caveats to this conclusion are that improvement in performance is driven mostly by the time series part of the model i e lagged inflation and that the spi model overemphasizes inflationary persistence thus there appears to be room for improvement via either modified versions of the above models or via development of new models that better track inflation persistence

are preliminary announcements of the money stock rational forecasts abstract we develop a theoretical framework of analyzing preliminary announcements of economic data and then apply this framework to the money stock we find that preliminary announcements of the money stock are best characterized as measured with classical errors in variables that is the revision is not correlated with the true value of the series the revision is however forecastable using information available at the time of the preliminary announcement our ability to forecast the revision implies that preliminary announcements are not rational estimates of the true money stock

trade as a threshold variable for multiple regimes abstract this paper employs the data sorting method developed by hansen econometrica 68 2000 575 which allows the data to endogenously select regimes using different variables it is shown that openness as measured by the trade share to gdp is a threshold variable that can cluster middle income countries into two distinct regimes that obey different statistical models our result suggests that openness may not be as crucial in the growth process of low and high income countries but it is instrumental in identifying middle income countries into high and low growth groups

on stock market illiquidity and real time gdp growth this study examines whether stock market illiquidity forecasts real uk gdp growth using data over the period 1989q1 2012q2 apart from standard linear model specifications we also utilize non linear models which allow for regime switching behavior in terms of a liquid versus an illiquid market regime and over the phases of the business cycle our findings support a statistically significant negative relationship between stock market illiquidity and future uk gdp growth over and above the usual control variables this relationship is found to be stronger during periods of highly illiquid market conditions and weak economic growth our out of sample forecasting analysis indicates that a regime switching model of illiquid versus liquid market conditions predicts uk growth better than any other model actually this model is the only one to significantly outperform the gdp growth forecasts published in the bank of england s inflation report

monetary policy rules based on real time data this paper examines the magnitude of informational problems associated with the implementation and interpretation of simple monetary policy rules using taylor s rule as an example i demonstrate that real time policy recommendations differ considerably from those obtained with ex post revised data further estimated policy reaction functions based on ex post revised data provide misleading descriptions of historical policy and obscure the behavior suggested by information available to the federal reserve in real time these results indicate that reliance on the information actually available to policy makers in real time is essential for the analysis of monetary policy rules

data revisions and the expenditure components of gdp the constant price components of the expenditure estimate of gdp for the united kingdom undergo an extensive process of revision as new information comes to light this study is concerned with three central themes the authors assess whether the preliminary vintages efficiently incorporate information available at the time of their compilation whether there is any evidence for the nonstationarity of data revisions and how to construct constant price time series when there are several changes of base copyright 1991 by royal economic society

macroeconomic forecasting performance under alternative specifications of time varying volatility summary this paper compares alternative models of time varying volatility on the basis of the accuracy of real time point and density forecasts of key macroeconomic time series for the usa we consider bayesian autoregressive and vector autoregressive models that incorporate some form of time varying volatility precisely random walk stochastic volatility stochastic volatility following a stationary ar process stochastic volatility coupled with fat tails garch and mixture of innovation models the results show that the ar and var specifications with conventional stochastic volatility dominate other volatility specifications in terms of point forecasting to some degree and density forecasting to a greater degree copyright 2014 john wiley sons ltd

combining forecast densities from vars with uncertain instabilities recursive weight forecast combination is often found to an ineffective method of improving point forecast accuracy in the presence of uncertain instabilities we examine the effectiveness of this strategy for forecast densities using many vector autoregressive var and autoregressive ar models of output growth inflation and interest rates our proposed recursive weight density combination strategy based on the recursive logarithmic score of the forecast densities produces well calibrated predictive densities for us real time data by giving substantial weight to models that allow for structural breaks in contrast equal weight combinations produce poorly calibrated forecast densities for great moderation data copyright 2010 john wiley sons ltd

inflation targeting some extensions previous analyses of the implementation of inflation targeting are extended to monetary policy responses to different shocks consequences of model uncertainty and effects of interest rate smoothing and stabilization model uncertainty output stabilization and interest rate stabilization or smoothing all call for a more gradual adjustment of the conditional inflation forecast toward the inflation target the conditional inflation forecast is the natural intermediate target during inflation targeting the optimal way of reacting to shocks is hence to check how they affect the inflation forecast and then take the appropriate action jel classification e42 e52 e58

monetary aggregates as monetary targets a statistical investigation in this paper the authors analyze statistical properties of the monetary base m1 and m2 for the postwar u s data record the authors are specifically interested in answering three policy related questions first to what extent do these monetary aggregates contain information useful for predicting movements in prices and real output second how do the aggregates rank as to their predictive usefulness third how do these aggregates rank as to the stability of their relationship to the macroeconomy copyright 1992 by ohio state university press

commodity prices and bric and g3 liquidity a sfavec approach this paper investigates the influence of liquidity in the major developed and major developing economies on commodity prices liquidity is taken to be m2 a novel finding is that unanticipated increases in the bric countries liquidity is associated with significant and persistent increases in commodity prices that are much larger than the effect of unanticipated increases in g3 liquidity and the difference increases over time over 1999 2012 bric liquidity is strongly linked with global energy prices and global real activity whereas g3 liquidity is not the impact of bric liquidity on mineral and metal prices is twice as large as that of g3 liquidity granger casualty goes from liquidity to commodity prices bric and g3 liquidity and commodity prices are cointegrated bric and g3 liquidity and global output and global prices are cointegrated we construct a structural factor augmented error correction sfavec model

aggregate infrastructure capital stock and long run growth evidence from finnish data abstract in this paper bayesian methods and the finnish aggregate infrastructure capital series from 1860 to 2003 are used to explore how government infrastructure policy affects long run output growth we use finnish data since to the best of our knowledge the finnish land and water construction investments series is the best available sufficiently long time series on aggregate infrastructure investments the finnish data provide strong and robust evidence indicating that permanent changes in government infrastructure policy have permanent effects on the growth rate of output

costs of banking system instability some empirical evidence abstract this paper assesses the cross country stylised facts on empirical measures of the losses incurred during periods of banking crises we first consider the direct resolution costs to the government and then the broader costs to the welfare of the economy proxied by losses in gdp we find that the cumulative output losses incurred during crisis periods are large roughly 15 20 on average of annual gdp in contrast to previous research we also find that output losses incurred during crises in developed countries are as high or higher on average than those in emerging market economies moreover output losses during crisis periods in developed countries also appear to be significantly larger 10 15 than in neighbouring countries that did not at the time experience severe banking problems in emerging market economies by contrast banking crises appear to be costly only when accompanied by a currency crisis these results seem robust to allowing for macroeconomic conditions at the outset of crisis in particular low and declining output growth that have also contributed to future output losses during crises episodes

evaluating density forecasts with applications to financial risk management density forecasting is increasingly more important and commonplace for example in financial risk management yet little attention has been given to the evaluation of density forecasts the authors develop a simple and operational framework for density forecast evaluation they illustrate the framework with a detailed application to density forecasting of asset returns in environments with time varying volatility finally the authors discuss several extensions copyright 1998 by economics department of the university of pennsylvania and the osaka university institute of social and economic research association

combining var and dsge forecast densities a popular macroeconomic forecasting strategy utilizes many models to hedge against instabilities of unknown timing see among others stock and watson 2004 clark and mccracken 2010 and jore et al 2010 existing studies of this forecasting strategy exclude dynamic stochastic general equilibrium dsge models despite the widespread use of these models by monetary policymakers in this paper we use the linear opinion pool to combine inflation forecast densities from many vector autoregressions vars and a policymaking dsge model the dsge receives a substantial weight in the pool at short horizons provided the var components exclude structural breaks in this case the inflation forecast densities exhibit calibration failure allowing for structural breaks in the vars reduces the weight on the dsge considerably but produces well calibrated forecast densities for inflation

the solow model with ces technology nonlinearities and parameter heterogeneity this paper examines whether nonlinearities in the aggregate production function can explain parameter heterogeneity in the solow growth regressions nonlinearities in the production technology are introduced by replacing the commonly used cobb douglas cd aggregated production specification with the more general constant elasticity of substitution ces specification we first justify our choice of production function by showing that cross country regressions favour the ces over the cd technology then by using an endogenous threshold methodology we show that the solow model with ces technology is consistent with the existence of multiple regimes copyright 2004 john wiley sons ltd

openness in services trade and economic growth abstract we examine the relationship between openness in services trade both telecommunication and financial and economic growth via the threshold regression model to test for a differential impact between low and high income countries results confirm the existence of a two regime split

money and output viewed through a rolling window abstract we examine the extent to which fluctuations in the money stock anticipate or granger cause fluctuations in real output using a variety of rolling window and increasing window estimation techniques various models are considered using simple sum as well as divisia measures of m 1 and m 2 income prices and both the t bill rate and the commercial paper rate findings indicate that the relation between income money prices and interest rates is stable as long as sufficient data are used and that there is cointegration among the variables considered although cointegration spaces become very difficult to estimate precisely when smaller windows of data are used further both m 1 and m 2 are shown to be important predictors of income for the entire period from 1960 2 1996 3 based on modified versions of what we term the most damaging specifications from friedman and kuttner 1993 and thoma 1994 our new evidence is based in part on a rather novel model selection approach to examining the relationship between money and income 1998 elsevier science b v all rights reserved

econometric modeling of regional electricity spot prices in the australian market abstract wholesale electricity markets are increasingly integrated via high voltage interconnectors and inter regional trade in electricity is growing to model this we consider a spatial equilibrium model of price formation where constraints on inter regional flows result in three distinct equilibria in prices we use this to motivate an econometric model for the distribution of observed electricity spot prices that captures many of their unique empirical characteristics the econometric model features supply and inter regional trade cost functions which are estimated using bayesian monotonic regression smoothing methodology a copula multivariate time series model is employed to capture additional dependence both cross sectional and serial in regional prices the marginal distributions are nonparametric with means given by the regression means the model has the advantage of preserving the heavy right hand tail in the predictive densities of price we fit the model to half hourly spot price data in the five interconnected regions of the australian national electricity market the fitted model is then used to measure how both supply and price shocks in one region are transmitted to the distribution of prices in all regions in subsequent periods finally to validate our econometric model we show that prices forecast using the proposed model compares favorably with those from some benchmark alternatives

flexible inflation targeting and financial stability is it enough to stabilize inflation and output abstract we investigate empirically whether a central bank can promote financial stability by stabilizing inflation and output and whether additional stabilization of asset prices and credit growth would enhance financial stability in particular we employ an econometric model of the norwegian economy to investigate the performance of simple interest rate rules that allow a response to asset prices and credit growth in addition to inflation and output we find that output stabilization tends to improve financial stability additional stabilization of house prices equity prices and or credit growth enhances stability in both inflation and output but has mixed effects on financial stability in general financial stability as measured by e g asset price volatility improves while financial stability measured by indicators that depend directly on interest rates deteriorates mainly because of higher interest rate volatility owing to a more active monetary policy

distribution and development in a model of misgovernance abstract this paper presents an analysis of bureaucratic corruption income inequality and economic development the analysis is based on a dynamic general equilibrium model in which bureaucrats are appointed by the government to implement a redistributive programme of taxes and subsidies designed to benefit the poor corruption is reflected in bribery and tax evasion as bureaucrats conspire with the rich in providing false information to the government in accordance with empirical evidence the model predicts a positive relationship between corruption and inequality and a negative relationship between corruption and development

does the law of one price hold in international financial markets evidence from tick data abstract this paper investigates the validity of the law of one price lop in international financial markets by examining the frequency size and duration of inter market price differentials for borrowing and lending services one way arbitrage using a unique data set for three major capital and foreign exchange markets that covers a period of more than seven months at tick frequency we find that the lop holds on average but numerous economically significant violations of the lop arise the duration of these violations is high enough to make it worthwhile searching for one way arbitrage opportunities in order to minimize borrowing costs and or maximize earnings on given funds we also document that such opportunities decline with the pace of the market and increase with market volatility

model averaging in economics an overview standard practice in empirical research is based on two steps first researchers select a model from the space of all possible models second they proceed as if the selected model had generated the data therefore uncertainty in the model selection step is typically ignored alternatively model averaging accounts for this model uncertainty in this paper i review the literature on model averaging with special emphasis on its applications to economics finally as an empirical illustration i consider model averaging to examine the deterrent effect of capital punishment across states in the usa

predicting inflation does the quantity theory help i introduction inflation forecasting has played a key role in recent u s monetary policy and this has led to a renewed search for variables that serve as good indicators of future inflation one frequently used indicator based on the phillips curve is the unemployment rate or a similar measure of the output gap as in gerlach and svensson 2003 clark and mccracken 2003 mankiw 2001 and gali and gertler 1999 the phillips curve is believed by many to be the preferred tool for forecasting inflation see e g mankiw 2001 stock and watson 1999a blinder 1997 though as argued by sargent 1999 its use in formulating monetary policy is not without controversy another approach based on the quantity theory of money uses monetary aggregates to predict inflation despite the strong theoretical motivation for this approach though there is little evidence that measures of the nominal money supply are useful for predicting inflation relative to a conventional unemployment rate phillips curve model see stock and watson 1999a for a detailed analysis of the forecast performance of popular inflation indicators stock and watson s results indicate that even simple univariate time series models generally forecast about as well as models that include measures of the money supply so that it is hard to make the case that nominal money supply data have any predictive content for inflation 1 this article evaluates inflation forecasts made by models that allow for prices money and output to be cointegrated and in the process reexamines the question of whether monetary aggregates have marginal predictive content for inflation our work is motivated in part by economic theory as the presence of a cointegrating relationship among the series we look at corresponds to an implicit assumption that prices the money supply and output hang together in the long run an implicit feature of most analyses based on the quantity theory from a statistical point of view a system with cointegrated regressors does not have a finite order vector autoregressive var representation so that a var in differences will be misspecified and may not forecast well regardless of the relevance of the included variables our analysis is therefore focused on the questions are there gains in terms of forecast accuracy from imposing the restriction that prices money and output are cointegrated does it matter whether cointegrating restrictions are imposed a priori based on economic theory or can they be estimated and do models imposing cointegration among prices money and output forecast inflation as well as the phillips curve and other alternative models the econometric framework that we employ is similar to that of stock and watson 1999a but differs from theirs in two ways first stock and watson 1999a consider one year horizon inflation forecasts whereas we consider forecast horizons of up to five years this is potentially important in our context as we include versions of the quantity theory of money in our analysis a theory that arguably may not yield substantive gains to forecasting in the short run additionally future inflation at many horizons is in general of interest to policy makers even if the weight attached to inflation at different horizons is a matter of individual preference so that long run predictions are only unuseful if and when they fail to have marginal predictive content for inflation 2 a second difference between our work and that of stock and watson 1999a is that some of our models differ from theirs including those that impose quantity theory based cointegrating restrictions for example in these types of models we 1 impose a cointegration restriction derived from the assumption of stationary velocity and 2 estimate cointegrating restrictions we also examine a fairly broad variety of linear models including simple autoregressive ar models in levels and differences conventional unemployment rate phillips curve models and var models in levels and differences with money prices and output

the real time predictive content of money for output abstract data on monetary aggregates are subject to periodic redefinitions presumably in part to improve their link to measures of output money data are also revised on a regular basis taking these data imperfections into account we reassess the evidence on the marginal predictive content of m1 and m2 for real and nominal output in particular first by using the latest version of the data that is available and then using sequences of historical time series that would have been available to forecasters in real time we are able to provide a comprehensive assessment of whether money is useful for predicting output we conclude that the generally significant marginal predictive content of m1 or m2 for output that is found using a recently revised data set is not duplicated in a real time setting although m2 is shown to remain useful when 1 year ahead forecasts are constructed using fitted vector autoregressive models

systemic failure in the provision of safe food abstract many deficiencies in the capacity of a food system to deliver safe products are systemic in nature we suggest a taxonomy of four general ways in which a systemic failure might occur one relates to the connectedness or topology of the system another arises from mistrust on the part of downstream parties concerning signals on product attributes production processes and the performance of regulatory mechanisms a third arises when asymmetric information leads to low incentives for preserving food quality finally inflexibilities in adapting to different states of nature may leave the system vulnerable to failures innovations in information technology and institutional design may ameliorate many problems while appropriate trade industrial organization science and public infrastructure policies may also fortify the system

monetary policy in a data rich environment abstract most empirical analyses of monetary policy have been confined to frameworks in which the federal reserve is implicitly assumed to exploit only a limited amount of information despite the fact that the fed actively monitors literally thousands of economic time series this article explores the feasibility of incorporating richer information sets into the analysis both positive and normative of fed policymaking we employ a factor model approach developed by stock j h watson m w diffusion indices journal of business economic statistics 2002 20 2 147 forecasting inflation 1999 journal of monetary economics 44 2 293 that permits the systematic information in large data sets to be summarized by relatively few estimated factors with this framework we reconfirm stock and watson s result that the use of large data sets can improve forecast accuracy and we show that this result does not seem to depend on the use of finally revised as opposed to real time data we estimate policy reaction functions for the fed that take into account its data rich environment and provide a test of the hypothesis that fed actions are explained solely by its forecasts of inflation and real activity finally we explore the possibility of developing an expert system that could aggregate diverse information and provide benchmark policy settings

targeting nominal income an appraisal the practice of setting target growth rates for a year or more ahead for some measure of the mofiey supply is now followed by many industrialised countries however it has been suggested by a number of authors e g meade i978 in his nobel prize lecture tobin i980 in his retrospective on stabilisation policy brittan i98i that it would be more sensible to pursue targets for nominal income rather than the money supply meade for instance argues that controlling nominal income is in any case the ultimate goal of those who favour fixed monetary targets and that an excessive concentration on the means rather than the end is confusing to private agents and can lead to undesirable fluctuations in the demand for output when velocity shifts he goes on to advocate that nominal income targets should be linked to the development of wage fixing institutions designed to mimic competitive behaviour in this paper we examine the implications of such a proposal for the performance of the economy in the context of a simple stochastic macroeconomic model under rational expectations a contracting framework is adopted in which the wage is fixed in a state of uncertainty about future levels of demand and productivity the objective of the authorities is to minimise the divergence of output from its full information equilibrium level if labour supply is inelastic then it turns out that maintaining the level of nominal income is actually the optimal policy if labour supply is elastic nominal income targetry provides an optimal response to demand is lm shocks but a suboptimal response to productivity shocks however a sufficient condition for a nominal income target to be preferable to a fixed money supply target is that the price elasticity of aggregate demand be less than unity the paper concludes by examining the implications of pursuing target growth rates rather than levels it should be conceded at the outset that there are several pertinent issues not addressed such as the greater comprehensibility of nominal income targets to private agents or the possibility that nominal income targets may leave the authorities with too much discretion e g poole i980 the issue of labour market reform is also ignored this is an enormous subject which it would be impossible to do justice to here see for instance meade s own analysis of the problem in meade i982 such reforms might be expected to affect the parameters of the model nevertheless since changes in labour market practices are neither a precondition for nor a logical consequence of nominal income targets an independent analysis of the macrceconomic implications of the latter is still highly relevant

forecasting substantial data revisions in the presence of model uncertainty a recent revision to the preliminary measurement of gdp e growth for 2003q2 caused considerable press attention provoked a public enquiry and prompted a number of reforms to uk statistical reporting procedures in this article we compute the probability of substantial revisions that are greater in absolute value than the controversial 2003 revision the predictive densities are derived from bayesian model averaging over a wide set of forecasting models including linear structural break and regime switching models with and without heteroscedasticity ignoring the nonlinearities and model uncertainty yields misleading predictives and obscures recent improvements in the quality of preliminary uk macroeconomic measurements

eurosystem monetary targeting lessons from u s data abstract using a small empirical model of inflation output and money estimated on u s data we compare the relative performance of monetary targeting and inflation targeting the results show monetary targeting to be quite inefficient yielding both higher inflation and output variability this is true even with a nonstochastic money demand formulation our results are also robust to using a p model of inflation therefore in these popular frameworks there is no support for the prominent role given to money growth in the eurosystem s monetary policy strategy

forecasting the distribution of economic variables in a data rich environment this article investigates the relevance of considering a large number of macroeconomic indicators to forecast the complete distribution of a variable the baseline time series model is a semiparametric specification based on the quantile autoregressive qar model that assumes that the quantiles depend on the lagged values of the variable we then augment the time series model with macroeconomic information from a large dataset by including principal components or a subset of variables selected by lasso we forecast the distribution of the h month growth rate for four economic variables from 1975 to 2011 and evaluate the forecast accuracy relative to a stochastic volatility model using the quantile score the results for the output and employment measures indicate that the multivariate models outperform the time series forecasts in particular at long horizons and in tails of the distribution while for the inflation variables the improved performance occurs mostly at the 6 month horizon we also illustra

is the fed too timid monetary policy in an uncertain world estimates of the taylor rule using historical data from the past decade or two suggest that monetary policy in the u s can be characterized as having reacted in a moderate fashion to output and in

the economics of food safety abstract the supply of food safety absorbs scarce resources which have alternative uses a balance must be struck between the costs and benefits of increased food safety absolute safety is an unobtainable outcome and the correct amount depends upon consumption preferences and income levels whether unregulated markets are capable of supplying food safety is debated by economists many argue that market failure is endemic and intervention justified if governments intervene they should attempt a rudimentary appraisal of costs and benefits but this involves valuing human life intervention can result in nontariff barriers which distort trade

constructing optimal density forecasts from point forecast combinations summary decision makers often observe point forecasts of the same variable computed for instance by commercial banks imf and the world bank but the econometric models used by such institutions are frequently unknown this paper shows how to use the information available on point forecasts to compute optimal density forecasts our idea builds upon the combination of point forecasts under general loss functions and unknown forecast error distributions we use real time data to forecast the density of us inflation the results indicate that the proposed method materially improves the real time accuracy of density forecasts vis a vis those from the unknown individual econometric models copyright 2013 john wiley sons ltd

do all countries grow alike abstract this paper investigates the driving forces of output change in 77 countries during the period 1970 2000 a flexible modeling strategy is adopted that accounts for i the inefficient use of resources and ii different production technologies across countries the proposed model can identify technical efficiency and input change for each of three endogenously determined regimes membership in these regimes is estimated rather than determined ex ante this framework enables explorations into the determinants of output growth and convergence issues in each regime

macroeconomic stability and the distribution of growth rates it is often argued that macroeconomic instability can form a binding constraint on economic growth drawing on a new index of stability threshold estimation is used to divide developing economies into two growth regimes depending on a threshold level of stability for the more stable group of countries the output benefits of investment are greater conditional convergence is faster and measures of institutional quality have more explanatory power suggesting that instability forms a binding constraint for the less stable group macroeconomic stability is also shown to dominate several other candidates for identifying distinct growth regimes

on the output effects of barriers to trade we study the macroeconomic effects of international trade policy by integrating a hecksher ohlin trade model into an optimal growth framework the model predicts that a more open economy will have higher factor productivity furthermore there is a selective development trap to which countries may or may not converge depending on policy income at the development trap falls as trade barriers increase hence cross country differences in barriers to trade may help explain the dispersion of per capita income observed across countries the effects are quantified and we show that protectionism can explain a relevant fraction of tfp and long run income differentials across countries we study the effects of international trade policy on output to do so we analyze a standard neoclassical growth model where countries can trade intermediate goods the markets of these goods are structured as in the also standard hecksher ohlin trade model thus trade happens owing to comparative advantage which emerges from differences in factor endowments across countries 2 we focus on the case of a small price taking economy one can solve for equilibrium sequentially first each period s output and trade can be treated as a static problem and its solution can be summarized by a mapping from capital and labor to the output of the final good then using that endogenous mapping as if it were an exogenous production function one can solve the intertemporal decisions of agents in the economy in that way a potentially complex dynamic trade problem is avoided it turns out that the equilibrium mapping linking inputs and final output is affected by tariffs as the gains from trade impact not only welfare but also the availability and price of intermediate inputs and hence productivity

data revisions and the identification of monetary policy shocks abstract monetary policy research using time series methods has been criticized for using more information than the federal reserve had available to quantify the role of this criticism we estimate vars with real time data while accounting for the latent nature of many economic variables such as output our estimated monetary policy shocks are closely correlated with typically estimated measures the impulse response functions are broadly similar across estimation methods our evidence suggests that the use of revised data in var analyses of monetary policy shocks may not be a serious limitation for recursively identified systems but presents more challenges for simultaneous systems

news and noise in g 7 gdp announcements revisions to gdp announcements are known to be quite large in all g 7 countries quarterly growth rate revisions are regularly more than a full percentage point at an annualized rate we examine the predictability of these revisions using standard statistical tests of whether the preliminary announcement is a rational forecast of the subsequently revised data previous work suggests that u s gdp revisions are largely unpredictable as would be the case if the revisions reflect news not available at the time that the preliminary number is produced we find that the degree of predictability varies throughout the g 7 although we find little predictability in u s revisions the data revisions for several foreign countries are highly predictable we also perform a simple real time forecasting exercise showing that for several countries the predictability of data revision could be used to generate improved preliminary data

the past present and future of central banking the financial crisis on the one hand and the recourse to unconventional monetary policy on the other have given a sharp jolt to perceptions of the role and status of central banks in this paper we start with a brief contrarian history of central banks since the second world war which presents the great moderation and the restricted focus on inflation targeting as a temporary aberration from the norm we then discuss how recent developments in fiscal and monetary policy have affected the role and status of central banks notably their relationships with governments before considering the environment central banks will face in the near and middle future and how they will have to change to address it copyright 2012 oxford university press

assessing the lucas critique in monetary policy models empirical estimates of monetary policy rules suggest that the behavior of u s monetary policymakers changed during the past few decades however for that same time period statistical analyses of lagged representations of the economy such as vars often have not rejected the null of structural stability these two sets of empirical results appear to contradict the lucas critique this paper reconciles these results with the lucas critique by showing that the apparent policy invariance of reduced forms is consistent with the magnitude of historical policy shifts and the relative insensitivity of the reduced forms of plausible forward looking macroeconomic specifications to policy shifts

real time prediction with u k monetary aggregates in the presence of model uncertainty a popular account for the demise of the u k s monetary targeting regime in the 1980s blames the fluctuating predictive relationships between broad money and inflation and real output growth yet ex post policy analysis based on heavily revised data suggests no fluctuations in the predictive content of money in this paper we investigate the predictive relationships for inflation and output growth using both real time and heavily revised data we consider a large set of recursively estimated vector autoregressive var and vector error correction models vecm these models differ in terms of lag length and the number of cointegrating relationships we use bayesian model averaging bma to demonstrate that real time monetary policymakers faced considerable model uncertainty the in sample predictive content of money fluctuated during the 1980s as a result of data revisions in the presence of model uncertainty this feature is only apparent with real time data as heavily revised data obscure these fluctua