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

adverse selection in asset markets theory and evidence from the indian market for cows dairy cows cycle through periods where their quality is more observable the milking phase and where their quality is less observable the dry phase this variation in quality observability creates the potential for an adverse selection problem i develop a theoretical model of trade in dry and milking cows and find empirical evidence consistent with the adverse selection theory in particular dry animal prices fall less in response to negative shocks relative to milking animal prices which is consistent with the model s prediction that negative shocks actually help the dry animal market by pushing more high quality owners to sell

an analysis of revisions to the industrial production index revisions to percentage changes in the total index of industrial production ip contain systematic components and are correlated with other information available at the time the provisional estimates are prepared indicating that the preliminary estimates are inefficient in particular revisions to percentage changes in ip i tend to be upward ii contain substantial seasonality iii generally increasse during periods in which ip is accelerating and iv revisions to the same month tend to be in the same direction filters for the provisional estimates that exploit these inefficiencies are estimated and the estimates generated from these filters pass the efficiencies are estimated and the estimates generated from these filters pass the efficiency test

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

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

var estimation and forecasting when data are subject to revision we show that howrey s method for producing economic forecasts when data are subject to revision is easily generalized to handle the case where data are produced by a sophisticated statistical agency the proposed approach assumes that government estimates are efficient with a finite lag it takes no stand on whether earlier revisions are the result of news or of reductions in noise we present asymptotic performance results in the scalar case and illustrate the technique using several simple models of economic activity in each case it outperforms both conventional var analysis and the original howrey method it produces gdp forecasts that are competitive with those of professional forecasters special cases and extensions of the analysis are discussed in a series of appendices that are available online

do government agencies use public data the case of gnp in 1991 the u s council of economic advisers undertook an initiative to increase the quality of economic statistics one specific objective was to reduce the size of revisions in gnp estimates we present evidence that one straightforward and inexpensive way of forwarding this objective is for the department of commerce to utilize better publicly available information released by other governmental agencies an important caveat however applies the relationship appears to be non linear specifically the inefficient use of information is concentrated in those quarters where the change in the preliminary gnp estimate is large in absolute value

what do the leading indicators lead the authors find that the composite leading index cli is useful for forecasting gross national product gnp both in sample and in an out of sample real time exercise they propose a nonlinear specification in which cyclical shifts of the cli precede those in gnp however the authors find that better forecasts are provided by a simple linear relation between current gnp growth and the growth rate of the cli during the previous quarter along with an error correction term corresponding to the previous quarter s logarithmic difference between the level of the cli and the level of gnp copyright 1996 by university of chicago press

measuring business cycles a modern perspective in the first half of this century special attention was given to two features of the business cycle 1 the comovement of many individual economic series and 2 the different behavior of the economy during expansions and contractions both of these attributes were ignored in many subsequent business cycle models which were often linear representations of a single macroeconomic aggregate however recent theoretical and empirical research has revived interest in each attribute separately notably dynamic factor models have been used to obtain a single common factor from a set of macroeconomic variables and nonlinear models have been used to describe the regime switching nature of aggregate output we survey these two strands of research and then provide some suggestive empirical analysis in an effort to unite the two literatures and to assess their usefulness in a statistical characterization of business cycle dynamics

the reaction of stock returns to news about fundamentals in good times stock prices react negatively to good news and positively to bad news whereas in bad times they react positively to good news and negatively to bad news to account for this stylized fact we consider an asset pricing model where the dividend growth rate switches between different values depending on the underlying state of the economy investors never observe the true dividend growth rate but learn about it through not only its realizations but also external signals such as macroeconomic indicators under plausible assumptions the differing precision of external signals across different states of the economy can change the sign of the market reaction to news from external signals in good and bad times this paper was accepted by brad barber finance

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

data revisions and periodic properties of macroeconomic data many macroeconomic time series variables show signs of periodicity that is seasonal heteroskedasticity and seasonally varying autocorrelation structures this paper argues that these periodic properties could in part be due to data revisions in case such revisions follow a particular format periodicity is shown to appear when quarterly data are revised by allocating updated annual information across the quarters in previous years an illustration for four waves of seventeen dutch macroeconomic data emphasizes this result

testing for volatility changes in u s macroeconomic time series we test for a change in the volatility of 214 u s macroeconomic time series over the period 1959 1999 we find that approximately 80 of these series have experienced a break in unconditional volatility during this period even though more than half of the series experienced a break in conditional mean most of the reduction in volatility appears to be due to changes in conditional volatility our results are robust to controlling for business cycle nonlinearity in both mean and variance volatility changes are more appropriately characterized as instantaneous breaks than as gradual changes nominal variables such as inflation and interest rates experienced multiple volatility breaks and witnessed temporary increases in volatility during the 1970s on this evidence we conclude that the increased stability of economic fluctuations is widespread

can the fed predict the state of the economy abstract we show that systematic forecast errors reveal that the fed is surprised by real and inflationary cycles the fed knows the state of the economy for the current quarter but cannot predict it one quarter ahead

nonconvex costs and the behavior of inventories this paper explores one possible explanation for the apparent excess volatility of production relative to sales nonconvexities in the technology facing firms it is shown that if firms operate in a region of declining marginal costs then small shifts in demand can cause production to jump substantially estimates for six production to stock industries as well as the automobile industry suggest that all these industries behave as if they were operating in the region of nonconvex costs the results have important implications not only for inventory investment but also for the cyclical behavior of productivity and prices

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

time irreversibility and business cycle asymmetry the problem of business cycle symmetry is addressed within the context of time reversibility to this effect the authors introduce a time domain test of time reversibility the tr test in an application they show that time irreversibility is the rule rather than the exception for two well known representative macroeconomic data sets this shows that many components of the business cycle have asymmetric fluctuations the characterization of asymmetry provided by the tr test shows that many series exhibit steepness asymmetry a few series appear to be either deep or sharp copyright 1996 by ohio state university press

money prices interest rates and the business cycle the mechanisms governing the relationship of money prices and interest rates to the business cycle are the most studied and most disputed topics in macroeconomics in this paper we first document key empirical aspects of this relationship we then ask how well three benchmark rational expectations macroeconomic models a real business cycle model a sticky price model and a liquidity effect model account for these central facts while the models have diverse successses and failures none can account for the fact that real and nom inal interest rates are inverted leading indicators of real economic activity that is none of the models captures the post war u s business cycle fact that a high real or nominal interest rate in the current quarter predicts a low level of real economic activity two to four quarters in the future i introduction the positive correlation of monetary aggregates and real economic activity over the course of many business cycles is a key empirical fact about the u s economy indeed the dynamic dimension of this covariation is so strong and stable that a monetary variable has long been included in the commerce department s index of leading economic indica tors while this pattern of cyclical comovement is widely agreed upon its interpretation is not some macroeconomists view money as purely passive with a positive response to varying levels of economic activity producing the positive correlation others view changes in the quantity of money as an important perhaps dominant source of economic fluctua tions frequently the real effects of monetary changes are suggested to arise from frictions in commodity labor or financial markets in economic theories that describe the influence of these frictions the transmission mechanism from monetary changes to real activity is typically viewed as involving interest rates and the price level the primary goal of this paper is to evaluate three models that explain the link between money prices interest rates and the business cycle we do this in three steps first we docu ment the cyclical behavior of these variables in the united states over the postwar period second we construct three quantitative rational expectations models of macroeconomic activity i a real business cycle model with endogenous money ii a model of commodity market frictions with mon etary non neutralities arising from gradual adjustment of goods prices and iii a model of financial market frictions with monetary non neutralities arising from gradual adjust ments of portfolios finally we compare the models predic tion for the business cycle behavior of money prices and interest rates with the data in exploring the predictions of these models we take the stock of money to be one of several exogenous variables in the system all of our models are capable of generating a forecasting role for money relative to real economic activity similar to that found in the u s data in the real business model monetary changes can forecast real activity because productivity is related to many underlying sources of shocks and because these real shocks also affect the money stock in the models with sticky prices and liquidity effects short hand names for the models with frictions in the com modity and financial markets monetary changes have an additional direct positive effect on aggregate output the outline of the paper is as follows section ii describes the data and documents its business cycle characteristics section iii outlines the three macroeconomic models and develops the particular quantitative versions of the models used in our analysis our main empirical results are pre sented in section iv and section v summarizes our results and concludes

does cross sectional forecast dispersion proxy for macroeconomic uncertainty new empirical evidence we investigate the link between forecast dispersion and macroeconomic uncertainty resulting from the data revision structure of inflation and real output we find that disagreement is significantly related to data uncertainty however results are considerably more distinctive for inflation uncertainty

testing the rationality of price forecasts new evidence from panel data this paper tests the rationality of individual price forecasts in a panel of professional forecasters here unlike in most previous studies rationality is not rejected the results here differ because 1 using individual forecasts avoids aggregation bias 2 comparison of forecasts to initial data avoids bias due to data revision 3 the professional forecasters have economic incentives to state their expectations accurately and 4 a new covariance matrix estimator consistent when forecast errors are correlated across individuals is used copyright 1990 by american economic association

are statistical reporting agencies getting it right data rationality and business cycle asymmetry this article provides new evidence on the rationality of early releases of industrial production ip and producer price index ppi data rather than following the usual practice of examining only first available and fully revised data we examine the entire revision history for each variable thus we are able to assess for example whether earlier releases of data are in any sense less rational than later releases and when data become rational our findings suggest that seasonally unadjusted ip and ppi become rational after approximately 3 4 months whereas seasonally adjusted versions of these series remain irrational for at least 6 12 months after initial release for all variables examined we find evidence that the remaining revision is predictable from its own past or from publicly available information in other economic and financial variables in addition we find a clear increase in the volatility of revisions during recessions suggesting that early data releases are less reliable in toughe

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

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

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

business cycle durations and postwar stabilization of the u s economy average postwar expansions are twice as long as prewar expansions and contractions are one half as long this paper investigates three possible explanations the first explanation is that shocks to the economy have been smaller in the postwar period the second explanation is that the composition of output has shifted from very cyclical sectors to less cyclical sectors the third explanation is that the apparent stabilization is largely spurious and is caused by differences in the way that prewar and postwar business cycle reference dates were chosen by the national bureau of economic research the evidence presented in this paper favors this third explanation copyright 1994 by american economic association

on the adjustment speed of smes to their optimal capital structure the aim of this paper is to analyse the speed of adjustment of small and medium sized enterprises smes to the target leverage by applying a system gmm technique to spanish panel data collected during the period 1995 2005 we estimate a partial adjustment model in which both target leverage and speed of adjustment are simultaneously endogenized we provide empirical evidence on the determinants of target leverage and the speed of adjustment more specifically the rate of financial flexibility growth opportunities and size are positively related to the speed of adjustment whereas the distance to the optimal ratio of debt shows a negative impact our findings demonstrate that in terms of sample mean a high percentage of spanish smes adjust rationally to their target additionally the smes analysed appeared to be over levered and fairly motivated to adjust annual adjustment speed 26

tests of equilibrium macroeconomics using contemporaneous monetary data abstract this paper uses contemporaneous monetary data to carry out econometric tests of the equilibrium approach to modelling the relation between monetary disturbances and macroeconomic fluctuations the theoretical analysis introduces into an equilibrium macroeconomic model the availability of preliminary data on current monetary aggregates and the process of accumulation of revised monetary data the econometric analysis tests two hypothesis derived from this extended model one hypothesis concerns the neutrality of perceived monetary policy the econometric results imply rejection of this hypothesis the other hypothesis concerns the non neutrality of errors in preliminary monetary data the econometric results fail to reject the contrary of this hypothesis these tests provide strong evidence against the reality of the equilibrium approach

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

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