rationality of preliminary money stock estimates earlier studies have presented mixed evidence on the rationality of the federal reserve s preliminary money stock estimates the authors investigate the rationality of m1a m1 m2 and m3 for both seasonally and not seasonally adjusted data they find preliminary growth rates of these aggregates to be rational for not seasonally adjusted data but irrational when data are seasonally adjusted using monte carlo studies the authors conclude that irrationality in seasonally adjusted data arises from the specific seasonal adjustment procedure used by the federal reserve as a result researchers conducting similar tests may want to focus exclusively on not seasonally adjusted data copyright 1995 by mit press

the macroeconomic effect of import controls a keynesian analysis abstract this paper develops a keynesian analysis of import controls a simple multiplier model is first presented which captures the two basic effects of controls identified by keynesian and disequilibrium theories forced import substitution and involuntary disabsorption the analysis is then extended to include some intertemporal and fiscal effects later sections develop a more complex model in which the market for goods and services is considered together with the effects of controls on the supply and demand for money and on the black market for foreign exchange

tracking the slowdown in long run gdp growth using a dynamic factor model that allows for changes in both the long run growth rate of output and the volatility of business cycles we document a significant decline in long run output growth in the united states our evidence supports the view that most of this slowdown occurred prior to the great recession we show how to use the model to decompose changes in long run growth into its underlying drivers at low frequencies a decline in the growth rate of labor productivity appears to be behind the recent slowdown in gdp growth for both the united states and other advanced economies when applied to real time data the proposed model is capable of detecting shifts in long run growth in a timely and reliable manner

nowcasting and the taylor rule actual federal funds rates in the u s have at times deviated from the recommendations of a simple taylor rule this paper proposes a nowcasting taylor rule that preserves the form of the taylor rule but encompasses realistic assumptions on information observable to policymakers because contemporaneous inflation rates and output gaps are not observable at the time policy is set policymakers must form nowcasts the optimal nowcast will depend in part on forecast uncertainty whenever policymakers have asymmetric costs to over and underpredicting inflation and output empirical evidence shows that actual policy rates are consistent with those recommended by a nowcasting taylor rule

dynamic model averaging in large model spaces using dynamic occam s window abstract bayesian model averaging has become a widely used approach to accounting for uncertainty about the structural form of the model generating the data when data arrive sequentially and the generating model can change over time dynamic model averaging dma extends model averaging to deal with this situation often in macroeconomics however many candidate explanatory variables are available and the number of possible models becomes too large for dma to be applied in its original form we propose a new method for this situation which allows us to perform dma without considering the whole model space but using a subset of models and dynamically optimizing the choice of models at each point in time this yields a dynamic form of occam s window we evaluate the method in the context of the problem of nowcasting gdp in the euro area we find that its forecasting performance compares well with that of other methods

predicting early data revisions to u s gdp and the effects of releases on equity markets the effects of data uncertainty on real time decision making can be reduced by predicting data revisions to u s gdp growth we show that survey forecasts efficiently predict the revision implicit in the second estimate of gdp growth but that forecasting models incorporating monthly economic indicators and daily equity returns provide superior forecasts of the data revision implied by the release of the third estimate we use forecasting models to measure the impact of surprises in gdp announcements on equity markets and to analyze the effects of anticipated future revisions on announcement day returns we show that the publication of better than expected third release gdp figures provides a boost to equity markets and if future upward revisions are expected the effects are enhanced during recessions

nowcasting sales growth of manufacturing companies in india abstractthe performance of private corporate sector is used as an important demand indicator for monetary policy making as these data are received with a lag assessing and monitoring of corporate sales on a real time basis poses a significant challenge to policy makers in india in this context this article attempts to nowcast quarterly sales growth of indian manufacturing companies and gdp growth of india using dynamic factor modelling framework a multiple level framework through turning point analysis and elastic net structure is used to overcome the overfitting problem during variable selection empirical results show improvement in forecast accuracy for one quarter ahead nowcast using 3 factor and 4 factor models over the benchmark model however absolute dominance of 3 factor models over 4 factor models was not established as such the article has proposed a forecast combination technique to nowcast sales growth of manufacturing companies in india

macroeconomic forecasting in the euro area country specific versus area wide information abstract this paper compares several time series methods for short run forecasting of euro wide inflation and real activity using data from 1982 to 1997 forecasts are constructed from univariate autoregressions vector autoregressions single equation models that include euro wide and us aggregates and large model methods in which forecasts are based on estimates of common dynamic factors aggregate euro wide forecasts are constructed from models that utilize only aggregate euro wide variables and by aggregating country specific models the results suggest that forecasts constructed by aggregating the country specific models are more accurate than forecasts constructed using the aggregate data

taxing consumption and other sins taxes as their primary tools to collect revenue in the rest of the world governments also use income and payroll taxes but rely much more heavily than does the united states on taxing consumption consumption taxes take many forms including general sales taxes value added taxes and excise taxes on the consumption of specific items including gasoline alcohol tobacco products firearms air travel telephone communication and others the u s government does not use a value added tax making the united states unique among high income countries and a rarity in the larger world as of 2004 at least 134 countries rely on value added taxes as a substantial source of funding value added taxes are sophisticated forms of sales taxes in which taxes are withheld by businesses according to value added at every stage of production american states do impose sales taxes on broad categories of consumer purchases but state governments are considerably smaller than national governments and their sales tax rates are very low compared to the value added tax rates used in the rest of the world the united states also imposes unusually low excise taxes even after controlling for total tax collections which are lower in the united states than they are in most high income countries the deliberate social engineering that underlies the selection of certain commodities for unusually high rates of taxation appeals less to americans than to residents of other countries moreover the sin taxes on

phillips curves in developing countries the latin american case one of the more controversial subjects in macroeconomics during the last 2 decades has derived from the finding of phillips 1958 and subsequently numerous others of a stable empirical relationship between the rate of wage or price changes and the rate of unemployment or output growth the original contention has been increasingly challenged on the grounds that 1 its rationale is at best ambiguous 2 the relationship is unstable and 3 it is only a short run relationship nevertheless the significance of the subject has been preserved by its continued importance for policy by friedman s claim that the phillips curve relationship plays the important role of the missing equation distinguishing his own quantity theory of money oriented macro theory from the keynesian theory 2 and by the fact that recent more sophisticated empirical studies recognizing both supply and demand sides to output determination 3 tend to support it at least in the short run

does greater trade openness reduce inflation further evidence using panel data techniques abstract in this article we estimate the relation between inflation and trade openness q j econ 108 1993 869 the higher the gains in terms of product in generating an inflationary surprise the greater the incentives will be for the government to effect such a surprise

exploiting the monthly data flow in structural forecasting a quarterly stochastic general equilibrium dsge model is combined with a now casting model designed to read timely monthly information as it becomes available this implies 1 mapping the structural quarterly dsge with a monthly version that maintains the same economic restrictions 2 augmenting the model with a richer data set and 3 updating the estimates of the dsge s structural shocks in real time following the publication calendar of the data our empirical results show that our methodology enhances the predictive accuracy in now casting an analysis of the great recession also shows that our framework would have helped tracing the dsge s structural shocks in real time obtaining for example a more timely account of the 2008 contraction

nowcasting the real time informational content of macroeconomic data abstract a formal method is developed for evaluating the marginal impact that intra monthly data releases have on current quarter forecasts nowcasts of real gross domestic product gdp growth the method can track the real time flow of the type of information monitored by central banks because it can handle large data sets with staggered data release dates each time new data are released the nowcasts are updated on the basis of progressively larger data sets that reflecting the unsynchronized data release dates have a jagged edge across the most recent months

term structures of inflation expectations and real interest rates i use a statistical model to combine various surveys to produce a term structure of inflation expectations inflation expectations at any horizon and an associated term structure of real interest ra

nowcasting global economic growth a factor augmented mixed frequency approach assessing accurately global economic conditions is a great challenge for economists the international monetary fund proposes within its periodic world economic outlook report a measure of the global gdp annual growth that is generally considered as the benchmark nowcast by macroeconomists in this paper we put forward an alternative approach to provide monthly nowcasts of the annual global growth rate our approach builds on a factor augmented mixed data sampling fa midas model that enables i to account for a large monthly database including various countries and sectors of the global economy and ii to nowcast a low frequency macroeconomic variable using higher frequency information pseudo real time results over the period 2010 16 show that this approach provides reliable and timely nowcasts of the world gdp annual growth on a monthly basis

forecasting the world economy in the short term 1433 audrone jakaitiene and stephane dees forecasting the world economy is a difficult task given the complex interrelationships within and across countries this paper proposes a number of approaches to forecast short term changes in selected world economic variables and aims first at ranking various forecasting methods in terms of forecast accuracy and second at checking whether methods forecasting directly aggregate variables direct approaches outperform methods based on the aggregation of country specific forecasts bottom up approaches overall all methods perform better than a simple benchmark for short horizons up to 3 months ahead among the forecasting approaches used factor models appear to perform the best moreover direct approaches outperform bottom up ones for real variables but not for prices finally when country specific forecasts are adjusted to match direct forecasts at the aggregate levels top down approaches the forecast accuracy is neither improved nor deteriorated i e top down and bottom up approaches are broadly equivalent in terms of country specific forecast accuracy

dynamic hierarchical factor models this paper uses multilevel factor models to characterize within and between block variations as well as idiosyncratic noise in large dynamic panels block level shocks are distinguished from genuinely common shocks and the estimated block level factors are easy to interpret the framework achieves dimension reduction and yet explicitly allows for heterogeneity between blocks the model is estimated using an mcmc algorithm that takes into account the hierarchical structure of the factors the importance of block level variations is illustrated in a four level model estimated on a panel of 445 series related to different categories of real activity in the united states

mixed frequency var models with markov switching dynamics this paper extends the markov switching vector autoregressive models to accommodate both the typical lack of synchronicity that characterizes the real time daily flow of macroeconomic information and economic indicators sampled at different frequencies the results of the empirical application suggest that the model is able to capture the features of the nber business cycle chronology very accurately

the european central bank s monetary pillar after the financial crisis abstract we apply a structural topic model stm to analyze european central bank ecb communication regarding the monetary pillar of its monetary policy strategy we do so by quantifying the transcripts of the ecb president s introductory statements at the press conferences that accompany the regular meetings of the ecb governing council our evidence shows that within its monetary pillar the ecb has gradually shifted its focus away from a genuine monetary analysis towards monitoring the stability of the european financial system we go on to augment a standard taylor rule by quantitative indicators obtained from the stm to assess whether the monetary pillar in general and the shift in focus in particular has had a measurable impact on the ecb s monetary policy stance we find that the monetary analysis has had a bearing on the interest rate setting in the early years of the ecb s existence but this influence completely disappears in the latter years of the sample furthermore we find no evidence that financial stability considerations in the ecb communication have influenced interest rate decisions either before or after the financial crisis

the strategic bequest motive although recent research suggests that intergenerational transfers play an important role in aggregate capital accumulation our understanding of bequest motives remains incomplete we develop a simple model of strategic bequests in which a testator influences the decisions of his beneficiaries by holding wealth in bequeathable forms and by conditioning the division of bequests on the beneficiaries actions the model generates falsifiable empirical predictions that are inconsistent with other theories of intergenerational transfers we present econometric and other evidence that strongly suggests that bequests are often used as compensation for services rendered by beneficiaries

monthly pass through ratios abstract this paper estimates monthly pass through ratios from import prices to consumer prices in real time conventional time series methods impose restrictions to generate exogenous shocks on exchange rates or import prices when estimating pass through coefficients instead our estimation strategy follows an event study approach based on monthly releases in import prices projections from a dynamic common factor model with daily panels before and after monthly releases of import prices define the innovation for import prices we apply our identification procedure to swiss prices and find strong evidence that the median of the monthly pass through ratio is around 0 3 tests show that standard assumptions of non real time data and limited information breath are critical for the pass through estimates

are professional macroeconomic forecasters able to do better than forecasting trends this paper investigates whether survey forecasters are able to make more accurate forecasts than simply supposing that the future values of the variable will move monotonically to the long run expectation we consider the forecasts individually and the consensus forecasts consensus survey forecasts are able to do so to varying degrees depending on the variable but this ability is largely limited to forecasts of the current quarter

forecasting the gdp of a small open developing economy an application of favar models gdp forecasting remains a challenge for a small open developing economy faced with insufficient and low frequency data central bank forecasters cannot project gdp reliably for the purpose of mone

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

forecasting efficiency concepts and applications this article introduces the concept of forecast efficiency in which the forecast contains all information available at the time of the forecast empirical tests investigate weak efficiency where the information set is all past forecasts and where all forecast revisions and errors should be uncorrelated with past forecast revisions tests of macroeconomic energy consumption and oil price forecasts find a significant autocorrelation of forecast revisions with fifty of fifty one tests showing positive correlation of forecast revisions as opposed to zero correlation consistent with forecast efficiency copyright 1987 by mit press

gdp nowcasting application and constraints in a small open developing economy despite data limitations an attempt is made to find out if a gdp nowcasting model can provide reliable forecasts for a small open economy two competing bayesian vector autoregressive models are tested rigorously to obtain the optimal model by minimizing in sample forecasting errors the main finding of this study is that gdp nowcasting can produce reliable results for a small open economy despite the unavailability of sufficient data sets and the lack of high frequency indicators

what has been learned about labor supply in the past twenty years the main advance in the study of labor supply in the past 20 years has come in recognizing and interpreting the variety of different labor supply functions that coexist in the empirical literature a crucial theoretical distinction with important empirical payoff is that between labor supply choices at the extensive margin i e labor force participation and employment choices and choices at the intensive margin i e choices about hours of work or weeks of work for workers another important distinction is the one between a descriptive labor supply function and a structural supply function that can be the basis for out of sample policy investigations concerning responses to tax and welfare programs and evaluations of welfare losses a full understanding of the participation hours dichotomy leads to an appreciation of the importance of the problem of selection bias what is the wage to impute to a nonworking person these distinctions are a legacy of the research conducted on labor supply over the past 20 years many important empirical questions have been addressed i how strong are the effects of taxes welfare and transfer programs on labor supply ii how important is intertemporal substitution can life cycle labor supply models explain business cycle labor supply behavior iii has the consensus view of the 1960 s of high labor supply elasticities for married women and low labor supply elasticities for married men held up all of the empirical evidence assembled on labor supply must be called into question in the light of important research on the basic quality of the data conducted by analysts at the university of michigan i discuss this evidence in a concluding section except for my discussion of measurement issues i focus only on the major discoveries about which a general consensus has emerged

predictability of output growth and inflation a multi horizon survey approach we develop an unobserved components approach to study surveys of forecasts containing multiple forecast horizons under the assumption that forecasters optimally update their beliefs about past current and future state variables as new information arrives we use our model to extract information on the degree of predictability of the state variable and the importance of measurement errors in the observables empirical estimates of the model are obtained using survey forecasts of annual gdp growth and inflation in the united states with forecast horizons ranging from 1 to 24 months and the model is found to closely match the joint realization of forecast errors at different horizons our empirical results suggest that professional forecasters face severe measurement error problems for gdp growth in real time while this is much less of a problem for inflation moreover inflation exhibits greater persistence and thus is predictable at longer horizons than gdp growth and the persistent component of bot

inflation and imported input prices in some inflationary latin american economies this paper first updates to 1980 the estimates of the harberger inflation model for argentina brazil chile colombia and uruguay and shows that all the hypotheses of this model hold and the reaction to monetary growth is fairly rapid an aggregate supply function including imported inputs is then hypothesized following recent theoretical work this yields two testable propositions on the reduced form estimates of inflation a the relation between inflation and monetary growth should be less than proportional and the income coefficient should be insignificant contrary to the harberger model and b inflation should be a weighted average of monetary growth and imported inflation assuming the underlying aggregate production function is homogenous of degree zero in prices tests on the same data base support both hypotheses these results also explain the similar results of many of the previous estimates of the harberger inflation equation which included the rate of devaluation in an ad hoc fashion

forecasting consumption the role of consumer confidence in real time with many predictors summary we study the role of consumer confidence in forecasting real personal consumption expenditure and contribute to the extant literature in three substantive ways first we re examine existing empirical models of consumption and consumer confidence not only at the quarterly frequency but using monthly data as well second we employ real time data in addition to commonly used revised vintages third we investigate the role of consumer confidence in a rich information context we produce forecasts of consumption expenditures with and without consumer confidence measures using a dynamic factor model and a large real time jagged edge dataset in a robust way we establish the important role of confidence surveys in improving the accuracy of consumption forecasts manifesting primarily through the services component during the recession of 2007 2009 sentiment is found to have a more pervasive effect on all components of aggregate consumption durables non durables and services copyright 2015 john wiley sons ltd

u s monetary policy surprises identification with shifts and rotations in the term structure we develop a model to extract measures of monetary policy surprises from the maturity structure of the yield curve the model endogenously allows for the fact that the yield curve may either shift or rotate in response to monetary policy shocks a latent factor model approach with identification through heteroskedasticity harnesses the term structure to extract monetary policy shocks the approach offers informational advantages over event studies results from the u s term structure from 1994 strongly support the hypothesis that differing term structure responses are reactions to different types of monetary policy shock rather than differing reactions to the same policy shock

import controls prices and economic activity in colombia abstract this paper analyzes the effects of import controls on production and price formation in the colombian manufacturing sector in 1976 1987 for that purpose it presents and estimates a simple model of imperfect competition which captures the quantity and price effects of qrs the statistical results support the idea that direct import controls have strong quantity and weak price effects the former concentrate in a few sectors particularly machinery and equipment most of which are not sensible to relative import prices however even in sectors where qrs have weak direct quantity effects indirect effects of import policy may be important given the sensitivity of industrial production to aggregate demand

estimating time variation in measurement error from data revisions an application to backcasting and forecasting in dynamic models over time economic statistics are refined this implies that data measuring recent economic events are typically less reliable than older data such time variation in measurement error affects optimal forecasts measurement error and its time variation are of course unobserved our contribution is to show how estimates of these can be recovered from the variance of revisions to data using a behavioural model of the statistics agency we illustrate the gains in forecasting performance from exploiting these estimates using a real time dataset on uk aggregate expenditure data copyright 2009 john wiley sons ltd

forecasting oil prices high frequency financial data are indeed useful abstract the paper examines the importance of combining high frequency financial information along with the oil market fundamentals in order to gain incremental forecasting accuracy for oil prices inspired by french et al 1987 and bollerslev et al 1988 who maintain that future asset returns are also influenced by past volatility we use daily volatilities and returns from financial and commodity markets to generate real out of sample forecasts for the monthly oil futures prices our results convincingly show that although the oil market fundamentals are useful for long run forecasting horizons the combination of the latter with high frequency financial data significantly improve oil price forecasts by reducing the rmse of the no change forecast by approximately 68 results are even more impressive during the oil price collapse period of 2014 15 these findings suggest that we cannot ignore the information extracted from the financial markets when forecasting oil prices our results are both statistically and economically significant as suggested by several robustness tests

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

automated earnings forecasts beat analysts or combine and conquer prior studies attribute analysts forecast superiority over time series forecasting models to their access to a large set of firm industry and macroeconomic information an information advantage which they use to update their forecasts on a daily weekly or monthly basis a timing advantage this study leverages recently developed mixed data sampling midas regression methods to synthesize a broad spectrum of high frequency data to construct forecasts of firm level earnings we compare the accuracy of these forecasts to those of analysts at short horizons of one quarter or less we find that our midas forecasts are more accurate and have forecast errors that are smaller than analysts when forecast dispersion is high and when the firm size is smaller in addition we find that combining our midas forecasts with analysts forecasts systematically outperforms analysts alone which indicates that our midas models provide information orthogonal to analysts our results provide preliminary support for th

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

why do forecasters disagree lessons from the term structure of cross sectional dispersion abstract key sources of disagreement among economic forecasters are identified by using data on cross sectional dispersion in forecasters long and short run predictions of macroeconomic variables dispersion among forecasters is highest at long horizons where private information is of limited value and lower at short forecast horizons moreover differences in views persist through time such differences in opinion cannot be explained by differences in information sets our results indicate they stem from heterogeneity in priors or models differences in opinion move countercyclically with heterogeneity being strongest during recessions where forecasters appear to place greater weight on their prior beliefs

words are the new numbers a newsy coincident index of the business cycle i construct a daily business cycle index based on quarterly gdp growth and textual information contained in a daily business newspaper the newspaper data are decomposed into time series representi

real time data and fiscal policy analysis a survey of the literature abstractthis paper surveys the empirical research on scal policy analysis based on real timedata this literature can be broadly divided in three groups that focus on 1 the statisticalproperties of revisions in scal data 2 the political and institutional determinants of scaldata revisions and of one year ahead projection errors by governments and 3 the reactionof scal policies to the business cycle it emerges that rst scal data revisions are largeand initial releases are biased estimates of nal values second the presence of strong scalrules and institutions leads to relatively more accurate releases of scal data and smalldeviations of scal outcomes from government plans third the cyclical stance of scalpolicies is estimated to be more counter cyclical when real time data are used instead ofex post data finally more work is needed for the development of real time datasets for scalpolicy analysis in particular a comprehensive real time dataset including scal variablesfor industrialized and possibly developing countries published and maintained by centralbanks or other institutions is still missing

facts and challenges from the great recession for forecasting and macroeconomic modeling this paper provides a survey of business cycle facts updated to take account of recent data emphasis is given to the great recession which was unlike most other postwar recessions in the united states in being driven by deleveraging and financial market factors we document how recessions with financial market origins are different from those driven by supply or monetary policy shocks this helps explain why economic models and predictors that work well at some times do poorly at other times we discuss challenges for forecasters and empirical researchers in light of the updated business cycle facts

the efficiency gains from dynamic tax reform this paper presents a new simulation methodology for determining the pure efficiency gains from tax reform along the general equilibrium rational expectations growth path of life cycle economies the principal findings concern the effects of switching from a proportional income tax with rates similar to those in the u s to either a proportional tax on consumption or a proportional tax on labor income a switch to consumption taxation generates a sustainable welfare gain of almost 2 percent of lifetime resources in contrast a transition to wage taxation generates a loss of greater than percent of lifetime re sources a second general result is that even a mild degree of progressivity in the income tax system imposes a very large efficiency cost this abstract was borrowed from another version of this item

how informative are preliminary announcements of the money stock in canada the authors examine hypotheses about the relation between provisional estimates and final values of m1 m2 and m3 and their growth rates in canada using monthly data and multiple revisions preliminary values cannot be viewed as final values plus an error revision uncorrelated with these but they are approximately unbiased forecasts of final values the second difference in short term interest rates is a leading indicator of revisions in m1 growth rates and revisions exhibit significant seasonality hence preliminary values are not completely rational forecasts

inflation growth and import bottlenecks in the turkish manufacturing industry abstract this paper argues that in economies heavily dependent on imported inputs the responsiveness of price and output to cost and demand factors are altered by foreign exchange bottlenecks if the government resorts to non market allocation of import licenses a model of price and output determination which captures this stipulation is presented estimation results for the turkish manufacturing industry over the 1952 1980 periods support the hypothesis that price and output elasticities are different between the import crisis and non crisis periods most importantly monetary expansion is inflationary when there are important bottlenecks but has real output effects otherwise

have standard vars remained stable since the crisis small or medium scale vars are commonly used in applied macroeconomics for forecasting and evaluating the shock transmission mechanism this requires the var parameters to be stable over the evaluation and forecast sample or to explicitly consider parameter time variation the earlier literature focused on whether there were sizable parameter changes in the early 1980s in either the conditional mean or variance parameters and in the subsequent period till the beginning of the new century in this paper we conduct a similar analysis but focus on the effects of the recent crisis using a range of techniques we provide substantial evidence against parameter stability the evolution of the unemployment rate seems particularly different relative to its past behavior we then discuss and evaluate alternative methods to handle parameter instability in a forecasting context while none of the methods clearly emerges as best some techniques turn out to be useful to improve the forecasting performance

is the negative interest rate policy effective abstract this paper examines the effectiveness of the negative interest rate policy conducted by several central banks to stabilize economic growth and inflation expectations through the signaling channel in doing so we assess survey based expectations data for up to 44 economies from 2002 to 2017 and analyze the impact of the adoption of a negative interest rate policy on expectations made by professionals based on a difference in differences approach our main findings are as follows first we show that the introduction of negative policy rates significantly reduces expectations regarding 3 month money market interest rates and also 10 year government bond yields second we also provide evidence for a significantly positive effect of this unconventional monetary policy tool on gdp growth and inflation expectations this implies that the negative interest rate policy appears to be effective in boosting economic growth and overcoming a deflationary spiral consequently the effect of negative nominal interest rates on real interest rate expectations is also negative

monetary policy shocks expectations and information rigidities this paper contributes to the literature by assessing expectation effects from monetary policy for g7 economies we rely on expectation data from consensus economics and a panel vector autoregression framework which accounts for international spillovers and time variation we analyze whether monetary policy has changed the degree of information rigidity after the emergence of the subprime crisis and estimate effects of interest rate changes on expectations disagreements and forecast errors we find strong evidence for information rigidities and identify higher forecast errors by professionals after monetary policy shocks our results suggest that the international transmission of monetary policy shocks introduces noisy information and partly increases disagreement among forecasters jel e31 e52

the yield spread puzzle and the information content of spf forecasts while the yield spread has long been recognized as a good predictor of recessions it seems to have been largely overlooked by professional forecasters we examine this puzzle established by rudebusch and williams 2009 in a data rich environment including not just the yield spread but many other predictors as well we confirm the puzzle in this context by examining the contributions of both the spf forecasts and the yield spread in predicting recessions and by examining the information content of spf forecasts directly furthermore we take the first step towards a possible resolution of this puzzle by recognizing the heterogeneity across professional forecasters

a macroeconomic analysis of agricultural terms of trade in turkey 1952 90 a two sector model of terms of trade tot determination is developed and tested using time series data for turkey empirical results support the structuralist flex price agriculture fix price industry models tot is found to be sensitive to changes in nominal demand and the exchange rate rising nominal demand turns the tot in favour of the agricultural sector provided that there are no supply constraints in the industrial sector if industrial supply is constrained by import bottlenecks then aggregate demand expansion turns the tot in favour of the industrial sector devaluation turns the tot against the agricultural sector primarily via the cost push factors in the industrial sector

the effect of income taxation on labor supply when deductions are endogenous this paper extends the standard static model of labor supply and taxation to the case where people are able to legally avoid taxes through the use of itemized deductions tax deductible expenditures are treated as a hicksian composite good with a price for those who decide to itemize proportional to one minus the marginal tax rate estimation of the commonly used linear labor supply model extended to incorporate the additional composite good on a cross section of prime aged married men suggests that tax deductible consumption is an uncompensated substitute for leisure and complement with labor the impact of taxes through the relative price of deductible expenditures appears to be much stronger than through the net wage copyright 1992 by mit press

combining judgment and models this paper proposes a parsimonious and model consistent method for combining forecasts generated by structural microfounded models and judgmental forecasts the method delivers along several dimensions first it improves the forecasting performance of the model second it allows interpreting the judgmental forecasts through the lens of the model finally it provides a framework to assess the informational content of the judgmental forecasters i illustrate the proposed methodology with a real time forecasting exercise using a simple neo keynesian dynamic stochastic general equilibrium model and the survey of professional forecasters 2010 the ohio state university

value added taxation a tax whose time has come value added taxes vats are used in a large number of developed countries and have been under consideration at the national level in the united states in recent years this paper provides an introduction to the tax for those unfamiliar with it the author begins by describing how vats work and briefly surveys their use by other countries the remainder of the paper considers the economic impact as well as design issues that are likely to arise if the united states were to implement a vat

the strategy of professional forecasting we develop and compare two theories of professional forecasters strategic behavior the first theory reputational cheap talk posits that forecasters endeavor to convince the market that they are well informed the market evaluates their forecasting talent on the basis of the forecasts and the realized state if the market expects forecasters to report their posterior expectations honestly then forecasts are shaded toward the prior mean with correct market expectations equilibrium forecasts are imprecise but not shaded the second theory posits that forecasters compete in a forecasting contest with pre specified rules in a winner take all contest equilibrium forecasts are excessively differentiated

are daily financial data useful for forecasting gdp evidence from mexico this article evaluates the use of financial data sampled at high frequencies to improve short term forecasts of quarterly gdp for mexico the model uses both quarterly and daily sampling frequencies while remaining parsimonious in particular the mixed data sampling midas regression model is employed to deal with the multi frequency problem to preserve parsimony factor analysis and forecast combination techniques are used to summarize the information contained in a data set containing 392 daily financial series our findings suggest that the midas model incorporating daily financial data leads to improvements in quarterly forecasts of gdp growth over traditional models that either rely only on quarterly macroeconomic data or average daily frequency data the evidence suggests that this methodology improves the forecasts for the mexican gdp notwithstanding its higher volatility relative to that of developed countries furthermore we explore the ability of the midas model to provide forecast updates for gdp growth nowcasting

economic forecasts rationality and the processing of new information over time this study analyzes real gnp and inflation forecasts published in the blue chip economic indicators the survey revises annual growth rate estimates every month thus making it possible to analyze the value of new information and its contribution to the estimates predictive power of the actual values if information is used efficiently updated forecasts should provide more accurate predictions the empirical results suggest that the revised forecasts of real gnp growth and inflation incorporate new information in a rational manner in addition the most recent inflation forecasts are found to be unbiased estimates on the actual rate of inflation copyright 1990 by ohio state university press

forecasting core inflation the case of south africa forecasting and estimating core inflation has recently gained attention especially for inflation targeting countries following research showing that targeting headline inflation may not be optimal a central bank can miss the signal due to the noise despite its importance there is sparse literature on estimating and forecasting core inflation in south africa with the focus still on measuring core inflation this paper emphasises predicting core inflation using large time varying parameter vector autoregressive models tvp vars factor augmented var and structural break models using quarterly data from 1981q1 to 2013q4 we use mean squared forecast errors msfe and predictive likelihoods to evaluate the forecasts in general we find that i small tvp vars consistently outperform all other models ii models where the errors are heteroscedastic do better than models with homoscedastic errors iii models assuming that the forgetting factor remains 0 99 throughout the forecast period outperforms models that allow for the forgetting factors to change with time and iv allowing for structural break does not improve the predictability of core inflation overall our results imply that additional information on the growth rate of the economy and interest rate is sufficient to forecast core inflation accurately but the relationship between these three variables needs to be modelled in a time varying nonlinear fashion

macroeconomic expectations of households and professional forecasters economists have long emphasized the importance of expectations in determining macroeconomic outcomes yet there has been almost no recent effort to model actual empirical expectations data instead m acroeconomists usually simply assume that expectations are rational this paper shows that while empirical household expectations are not rational in the usual sense expectational dynamics are well captured by a model in which households views derive from news reports of the views of professional forecasters which in turn may be rational the model s estimates imply that people only occasionally pay attention to news reports this inattention generates stickyness in aggregate expectations with important macroeconomic consequences

forecast uncertainty ex ante and ex post u s inflation and output growth survey respondents who make point predictions and histogram forecasts of macro variables reveal both how uncertain they believe the future to be ex ante as well as their ex post performance macroeconomic forecasters tend to be overconfident at horizons of a year or more but overestimate i e are underconfident regarding the uncertainty surrounding their predictions at short horizons ex ante uncertainty remains at a high level compared to the ex post measure as the forecast horizon shortens there is little evidence of a link between individuals ex post forecast accuracy and their ex ante subjective assessments

markov switching midas models this article introduces a new regression model markov switching mixed data sampling ms midas that incorporates regime changes in the parameters of the mixed data sampling midas models and allows for the use of mixed frequency data in markov switching models after a discussion of estimation and inference for ms midas and a small sample simulation based evaluation the ms midas model is applied to the prediction of the u s economic activity in terms of both quantitative forecasts of the aggregate economic activity and the prediction of the business cycle regimes both simulation and empirical results indicate that ms midas is a very useful specification

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

euro area business cycles in turbulent times convergence or decoupling we study the business cycle properties of the four largest european economies in the wake of the recent recession episodes the analysis is based on the factors estimated from a multi country and multi sector data rich environment we measure alikeness of business cycles by studying the synchronization of up and down phases the convergence properties of country fluctuations towards the euro area ea cycles and the contribution of the ea factor to national gdp volatilities while the economic fluctuations of the four ea member states were similar before the global financial turmoil we gather compelling evidence of an asymmetric behaviour of spanish fluctuations relative to the ea one

short term forecasting with mixed frequency data a midasso approach abstractin this article we extend the targeted regressor approach suggested in bai and ng 2008 for variables sampled at the same frequency to mixed frequency data our midasso approach is a combination of the unrestricted mixed frequency data sampling approach u midas see foroni et al 2015 castle et al 2009 bec and mogliani 2013 and the lasso type penalized regression used in bai and ng 2008 called the elastic net zou and hastie 2005 we illustrate our approach by forecasting the quarterly real gdp growth rate in switzerland

how quickly do forecasters incorporate news evidence from cross country surveys using forecasts from consensus economics inc we provide evidence on the efficiency of real gdp growth forecasts by testing whether forecast revisions are uncorrelated as the forecast data used are multi dimensional 18 countries 24 monthly forecasts for the current and the following year and 16 target years the panel estimation takes into account the complex structure of the variance covariance matrix due to propagation of shocks across countries and economic linkages among them efficiency is rejected for all 18 countries forecast revisions show a high degree of serial correlation we then develop a framework for characterizing the nature of the inefficiency in forecasts for a smaller set of countries the g 7 we estimate a var model on forecast revisions the degree of inefficiency as mananifested in the serial correlation of forecast revisions tends to be smaller in forecasts of the usa than in forecasts for european countries our framework also shows that one of the sources of the inefficiency in a country s forecasts is resistance to utilizing foreign news thus the quality of forecasts for many of these countries can be significantly improved if forecasters pay more attention to news originating from outside their respective countries this is particularly the case for canadian and french forecasts which would gain by paying greater attention than they do to news from the usa and germany respectively

factor augmented varma models with macroeconomic applications we study the relationship between vector autoregressive moving average varma and factor representations of a vector stochastic process we observe that in general vector time series and factors cannot both follow finite order var models instead a var factor dynamics induces a varma process while a var process entails varma factors we propose to combine factor and varma modeling by using factor augmented varma favarma models this approach is applied to forecasting key macroeconomic aggregates using large u s and canadian monthly panels the results show that favarma models yield substantial improvements over standard factor models including precise representations of the effect and transmission of monetary policy

real time forecasting with a mixed frequency var this article develops a vector autoregression var for time series which are observed at mixed frequencies quarterly and monthly the model is cast in state space form and estimated with bayesian methods under a minnesota style prior we show how to evaluate the marginal data density to implement a data driven hyperparameter selection using a real time dataset we evaluate forecasts from the mixed frequency var and compare them to standard quarterly frequency var and to forecasts from midas regressions we document the extent to which information that becomes available within the quarter improves the forecasts in real time this article has online supplementary materials

tax structure and public sector growth abstract it has been hypothesized that a jurisdiction s tax structure exerts an indipendent effect upon the growth of its public sector we test this hypothesis by examining the relationship between the growth of state general expenditure and the elasticity of tax revenues with respect to income the work takes advantage of a very careful set of income elasticities for the personal income and sales tax systems for each state for every year from 1978 to 1983 the main conclusion is that the data do not support the notion that the form of the tax structure exerts an independent effect on public sector growth

macroeconomic forecasting using diffusion indexes this article studies forecasting a macroeconomic time series variable using a large number of predictors the predictors are summarized using a small number of indexes constructed by principal component analysis an approximate dynamic factor model serves as the statistical framework for the estimation of the indexes and construction of the forecasts the method is used to construct 6 12 and 24 monthahead forecasts for eight monthly u s macroeconomic time series using 215 predictors in simulated real time from 1970 through 1998 during this sample period these new forecasts outperformed univariate autoregressions small vector autoregressions and leading indicator models

forecasting oil price realized volatility using information channels from other asset classes motivated from ross 1989 who maintains that asset volatilities are synonymous to the information flow we claim that cross market volatility transmission effects are synonymous to cross market information flows or information channels from one market to another based on this assertion we assess whether cross market volatility flows contain important information that can improve the accuracy of oil price realized volatility forecasting we concentrate on realized volatilities derived from the intra day prices of the brent crude oil and four different asset classes stocks forex commodities and macro which represent the different information channels by which oil price volatility is impacted from we employ a har framework and estimate forecasts for 1 day to 66 days ahead our findings provide strong evidence that the use of the different information channels enhances the predictive accuracy of oil price realized volatility at all forecasting horizons numerous forecasting evaluation tests and alternative model specifications confirm the robustness of our results

the effectiveness of non standard monetary policy measures evidence from survey data we assess the perception of professional forecasters regarding the effectiveness of unconventionalmonetary policy measures undertaken by the u s federal reserve after the collapse of lehmanbrothers using individual survey data we analyse the changes in forecasting of bond yields aroundthe announcement and implementation dates of non standard monetary policies the resultsindicate that bond yields are expected to drop significantly for at least one year after theannouncement and the implementation of accommodative policies

divisia monetary aggregates and us gdp nowcasting this article nowcasts us quarterly real gdp growth rate with dynamic factor model dfm using divisia monetary aggregate index divisia m1 m2 m3 and exploits information from a large unbalanced

financial conditions indexes for the united states and euro area abstract financial conditions indexes are developed for the united states and euro area using a wide range of financial indicators and a dynamic factor model the financial conditions indexes are shown to be useful for forecasting economic activity and have good revision properties variants of the indexes that allow for cross economy effects reveal very strong financial linkages across the united states and euro area

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

perceived inflation persistence this article constructs and estimates a measure called perceived inflation persistence that can be used to determine if professional forecasters inflation forecasts indicate there has been a change in inflation persistence this measure is built via the implied autocorrelation function that follows from the estimates obtained using a forecaster specific state space model findings indicate that u s perceived inflation persistence has changed since the mid 1990s with more consensus among forecasters at lower levels of persistence when compared to the autocorrelation function for actual inflation forecasters typically react less to shocks to inflation than the actual inflation data would suggest

nowcasting u s headline and core inflation we propose a new and parsimonious model for nowcasting headline and core inflation in the u s price index for personal consumption expenditures pce and the consumer price index cpi

introducing the euro sting short term indicator of euro area growth we set out a model to compute short term forecasts of the euro area gdp growth in real time to allow for forecast evaluation we construct a real time dataset that changes for each vintage date and includes the exact information that was available at the time of each forecast with this dataset we show that our simple factor model algorithm which uses an easy to replicate methodology is able to forecast the euro area gdp growth as well as professional forecasters who can combine the best forecasting tools with the possibility of incorporating their own judgement in this context we provide examples showing how data revisions and data availability affect point forecasts and forecast uncertainty copyright 2010 john wiley sons ltd