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

macroeconomic uncertainty through the lens of professional forecasters abstractwe analyze the evolution of macroeconomic uncertainty in the united states based on the forecast errors of consensus survey forecasts of various economic indicators comprehensive information contained in the survey forecasts enables us to capture a real time measure of uncertainty surrounding subjective forecasts in a simple framework we jointly model and estimate macroeconomic common and indicator specific uncertainties of four indicators using a factor stochastic volatility model our macroeconomic uncertainty estimates have three major spikes has three major spikes aligned with the 1973 1975 1980 and 2007 2009 recessions while other recessions were characterized by increases in indicator specific uncertainties we also show that the selection of data vintages affects the estimates and relative size of jumps in estimated uncertainty series finally our macroeconomic uncertainty has a persistent negative impact on real economic activity rather than producing wait and see dynamics

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

monetary misperceptions output and inflation dynamics we revisit the contribution of misperceived money to business cycles and in particular to the inertial dynamics of inflation following a monetary policy shock we establish three things first the difference between preliminary and revised money data captures monetary misperceptions well second misperceived money is quantitatively substantial and also matters significantly for economic activity and third imperfect information about monetary aggregates can help the standard nk model exhibit inertial inflation dynamics

interest rate linkages in the eurocurrency market contemporaneous and out of sample granger causality tests abstract this paper examines linkages among major eurocurrency interest rates during 1994 2002 eurocurrency interest rate causal linkages are found to be much stronger with additional allowance for contemporaneous causality test results than the inference based solely on granger causality tests the impact of u s interest rates is clearly not dominant in the eurocurrency markets while the japanese interest rates are found to be quite influential german interest rates both cause and are caused by several other eurocurrency interest rates by contrast interest rates on the new currency the euro do not have a substantial influence on other eurocurrency interest rates which underscores its emerging status

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

an alternative test of the hedonic theory of housing markets abstract in this paper the hedonic theory of housing markets is used to generate a multinomial logit model of household behavior in an urban housing market application of hedonic theory to housing markets is by now fairly familiar and a link to multinomial logit has also been established however by emphasizing more heavily the bid price interpretation of hedonic theory this paper develops a new connection to econometric estimation that essentially involves running the usual logit equations in reverse one advantage of this approach is that the link between the logit equations and hedonic theory involves bid price rather than utility functions and this in turn permits the empirical results to be given an extremely clear interpretation furthermore in contrast to the standard logit model the extreme value distribution required to justify the estimation technique emerges endogenously as part of the analysis

dynamic and contemporaneous causality in a supply chain an application of the us beef industry causal relationships are used to investigate information flows and directions of control in a decentralized multi echelon supply chain where no central authority has system level control over optimizing decisions we use secondary time series data representing the us beef industry to investigate dynamic and contemporaneous causality based on out of sample granger causality and direct acyclic graphs dags results indicate i the us beef supply chain experienced a significant structural change in late 1996 and early 1997 that may be attributed to a weather induced production shock and an apparent turnaround of the cattle cycle ii contemporaneous causalities appear to be stronger and dynamic causalities appear to be weaker after the structural change suggesting faster and more effective information transmission along the supply chain after the structural change iii contemporaneous information appears to flow from upstream to downstream tiers in the supply chain before the structural break which r

occupational mobility and the distribution of occupational success among young men interpretation of the distribution of occupational success depends crucially on an understanding of the process of mobility if the holders of low paying jobs this year are just as likely as anyone else to hold good jobs next year then the lower tail of the earnings distribution is not a matter of great social concern further if the distribution of success is primarily determined by a random process the prospects for a significant reduction in the inequality of earnings are unfavorable on the other hand high mobility in the short run may conceal systematic stratification of the labor force it may be that the same individuals spend most of their time in the worst jobs if so luck and random events may play a small role in the distribution of well being inequality may be a major issue and the elimination of stratification may hold out the promise of an important reduction in inequality simple tabulation of distributions of success and of mobility among categories of success cannot answer the basic question of the role of stratification in this paper we develop a model and statistical method for studying mobility and relating it to characteristics upon which stratification may be based our study rests on annual interviews conducted from 1966 through 1969 with about 3 000 white males born between 1942 and 1952 1 we find that mobility is closely related to personal characteristics especially intelligence and education men with high iqs and extensive education are more likely to move to high paying jobs and are more likely to remain in them nevertheless random events dominate the distribution of occupational success in the short run our results strongly support the finding of christopher jencks and his collaborators that redistribution of the determinants of earnings would do almost nothing to reduce the observed inequality of annual earnings

a model for the federal funds rate target this paper is a statistical analysis of the manner in which the federal reserve determines the level of the federal funds rate target one of the most publicized and anticipated economic indicators in the financial world the paper introduces new statistical tools for forecasting a discrete valued time series such as the target and suggests that these methods in conjunction with a focus on the institutional details of how the target is determined can significantly improve on standard vector autoregression forecasts of the effective federal funds rate we further show that the news that the fed has changed the target has statistical content substantially different from the news that the fed failed to make an anticipated target change causing us to challenge some of the conclusions drawn from standard linear var impulse response functions

biases in macroeconomic forecasts irrationality or asymmetric loss empirical studies using survey data on expectations have frequently observed that forecasts are biased and have concluded that agents are not rational we establish that existing rationality tests are not robust to even small deviations from symmetric loss and hence have little ability to tell whether the forecaster is irrational or the loss function is asymmetric we quantify the exact trade off between forecast inefficiency and asymmetric loss leading to identical outcomes of standard rationality tests and explore new and more general methods for testing forecast rationality jointly with flexible families of loss functions that embed quadratic loss as a special case an empirical application to survey data on forecasts of nominal output growth demonstrates the empirical significance of our results and finds that rejections of rationality may largely have been driven by the assumption of symmetric loss

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

a more timely and useful index of leading indicators effectively predicting cyclical movements in the economy is a major challenge the u s leading index li has long been used to analyze and predict economic fluctuations we describe and test a new procedure for making the li more timely the new li significantly outperforms its older counterpart it offers substantial gains in real time out of sample forecasts of changes in aggregate economic activity real gdp the index of coincident indicators and industrial production and provides timely and accurate ex ante information for predicting not only business cycle turning points but also monthly changes in the economy

neighbourhood effects and housing demand in this paper we estimate a model of housing demand with neighborhood eects we exploit special features of the national sample of the american housing survey and properties of housing markets that allow us to create natural instruments and therefore identify the impact of social interactions we find evidence of both endogenous and contextual neighborhood eects we report two alternative sets of estimates for neighborhood eects that dier in terms of the instruments we use for estimating the model when the endogenous neighborhood eect is large the respective contextual eects are weak and vice versa the elasticity of housing demand with respect to the mean of the neighbors housing demands the endogenous eect ranges from 0 19 to 0 66 and is generally very significant the contextual eects are also very significant a key such eect the elasticity with respect to the mean of neighbors permanent incomes ranges from 0 17 to 0 54

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

efficient tests of long run causation in trivariate var processes with a rolling window study of the money income relationship this paper develops a simple sequential multiple horizon non causation test strategy for trivariate var models with one auxiliary variable we apply the test strategy to a rolling window study of money supply and real income with the price of oil the unemployment rate and the spread between the treasury bill and commercial paper rates as auxiliary processes ours is the first study to control simultaneously for common stochastic trends sensi tivity of causality tests to chosen sample period null hypothesis over rejection sequential test size bounds and the possibility of causal delays evidence sug gests highly significant direct or indirect causality from m1 to real income in particular through the unemployment rate and m2 once we control for cointe gration

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

effects of foreign currency component in monetary aggregates on money neutrality abstract we test the money neutrality from a new angle the in sample investigation provides evidence that m1 and m2 with or without foreign currency component affect nominal gdp the out of sample approach shows money tends to affect nominal more than real gdp

more evidence on the money output relationship i introduction the empirical relationship between money and real output continues to produce conflicting evidence stock and watson 1989 using monthly u s data for the period 1960 85 report that while actual money growth m1 does not granger cause the growth of industrial production its detrended component does krol and ohanian 1990 internationalize stock and watson s study and find that both actual and detrended ml growth granger cause output growth in the u k but that neither series affects output growth in japan canada and germany friedman and kuttner 1992a 1992b 1993 question the role of money in explaining output behavior they report 1993 that even though the stock watson specification is used simply updating the sample through 1990 yields the result that detrended m1 growth no longer explains output growth friedman and kuttner also argue that the commercial paper rate or the spread between the three month treasury bill and the commercial paper rate provides a better gauge for output s reaction to monetary policy changes replacing the treasury bill rate used by stock and watson with the commercial paper rate or the spread friedman and kuttner find that m1 growth has no marginal explanatory power over output a feature of recent investigations of the money output link is the general use of a var specification based on the presumption that the series are difference stationary e g feldstein and stock 1994 several recent studies however have questioned this presumption due to the low power of unit root tests dejong et al 1992 dejong 1992 dejong and whiteman 1991a 1991b and rudebusch 1993 these studies suggest that it is difficult to distinguish between difference stationary as the null and trend stationary as the alternative hypothesis given the uncertainty about the existence of a unit root in economic time series we re examine the money output relation by specifically considering the affect of assuming that the series are trend stationary or difference stationary such an investigation is important to determine if permanent temporary changes in money and other series create permanent temporary shifts in real output for example if real output and money contain a unit root i e they are best represented by the difference stationary model permanent money shocks may produce permanent shifts in output put another way permanent money shocks may have a long run impact because they affect the stochastic trend component of output and thus change the output level for all future horizons on the other hand if output and other series are represented by a trend stationary model fluctuations around a trend level of these series are stationary mean reverting under this model a transitory money shock may only have a short run impact on output as it quickly returns to its trend level to analyze the sensitivity of results to different stationarity assumptions used we estimate two var systems one system uses the log levels of the variables along with a deterministic time trend the other uses the log difference of the series and excludes the trend term the first system represents the trend stationary specification and the second one represents the difference stationary specification there is some evidence that the money output link may be sensitive to the presence of a deterministic trend term e g eichenbaum and singleton 1986 stock and watson 1989 even so our study provides a direct comparison based on identical data sets of the effects that the two different stationarity specifications have on the money output results while testing the robustness of the money output connection is our main focus we also provide some different perspectives on the debate one is to use both long and short term data sets most studies limit the analysis to quarterly data from the post 1960 era we study the link between money interest rates and output using annual data over the extended period 1915 1993

evaluating the atkinson index of household energy consumption in china abstract improving equality and efficiency of household energy distribution is the primary concern of china s policy makers in their effort to reform the energy pricing system in this paper we use atkinson index as an analytical tool to quantitatively and systematically evaluate the equality and efficiency of household energy distribution the result shows that the atkinson index of electricity expenditure is much smaller than that of transportation expenditure which indicates that transportation expenditure responds better to income differences furthermore a geographical distribution analysis indicates that households in middle china suffer greater inequality in energy distribution than those in eastern and western china in view of the oncoming energy pricing reform in china we reevaluate the atkinson index under the new pricing scenarios for electricity and petroleum products compared to the current household energy pricing mechanism the simulated new policies generate more allocative efficiency of household energy and ensure more equality of energy consumption for low income households on this account we suggest that geographical differences and equality in energy distribution be duly addressed in reforming energy policies in china

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