longevity risk subjective survival expectations and individual saving behavior abstract we provide evidence of individuals awareness of longevity risk the uncertainty about future survival probabilities based on subjective survival expectations elicited in the survey of health ageing and retirement in europe share and matching data on longevity risk from the human mortality database we find a positive relationship between the forecast dispersion in subjective survival estimates and longevity risk which indicates that individuals are to some extent aware of longevity risk our analysis of savings behavior shows that the dispersion in survival estimates is primarily explained by individuals disagreeing on the survival probability and not by their true awareness of the underlying uncertainty individuals do not save more on average when faced with longevity risk although theory suggests they should

models of inflation expectations formation a comparison of household and economist forecasts the recent appreciation of the critical role played by expectations of inflation in the behavior of macromodels has stimulated empirical studies of the formation of expectations by different groups time series survey data on expectations of inflation exist now for economists households and businesses these data have been used as independent variables in explaining wage behavior gordon 16 turnovsky and wachter 34 and de menil and bhatta 5 prices turnovsky and wachter 34 and wachtel 36 interest rates gibson 14 hendershott and van horne 19 pearce 30 and mishkin 27 and consumption wachtel 36 generally with a significant improvement in explanatory power they have also been used as dependent variables in attempts to determine how expectations are formed by gordon 15 mullineaux 28 jacobs and jones 20 and figlewski and wachtel 9 for the economist survey van duyne 35 for the household survey and leonard 23 and de leeuw and mckelvey 4 for businesses given their different levels of knowlege of economics and perspectives one might expect that the models used by the different groups to forecast inflation would

macroeconomic forecasts and microeconomic forecasters in the presence of principal agent problems published macroeconomic forecasts by professional economists may not measure expectations forecasters may use their forecasts in order to manipulate beliefs about their ability i test a cross sectional implication of models of reputation and information revelation i find that as forecasters become older and more established they produce more radical forecasts since these more radical forecasts are in general less accurate ex post forecast accuracy grows significantly worse as forecasters become older and more established these findings are consistent with reputational factors at work in professional macroeconomic forecasts

inflation forecast errors and time variation in term premia the expectations theory of the term strueture is well known to give wrong signals as to the future course of long term interest rates one explanation involves rational time varying term premia however the anomaly may also be due to inflation forecast errors we study survey forecasts of inflation it seems that the respondents forecasts are insufficiently adaptive interest rates reflect expectations similar to the inflation forecasts as a result past survey forecast errors reliably predict premia on u s government bonds

a new measure of earnings forecast uncertainty abstract relying on the well established theoretical result that uncertainty has a common and an idiosyncratic component we propose a new measure of earnings forecast uncertainty as the sum of dispersion among analysts and the variance of mean forecast errors estimated by a garch model the new measure is based on both common and private information available to analysts at the time they make their forecasts hence it alleviates some of the limitations of other commonly used proxies for forecast uncertainty in the literature using analysts earnings forecasts we find direct evidence of the new measure s superior performance

can we improve the perceived quality of economic forecasts a number of topics are discussed concerning how economic forecasts can be improved in quality or at least in presentation these include the following using 50 uncertainty intervals rather than 95 noting that even though forecasters use many different techniques they are all occasionally incorrect in the same direction that there is a tendency to underestimate changes that some expectations and recently available data are used insufficiently lagged forecasts errors can help compensate for structural breaks series that are more forecastable could be emphasized and that present methods of evaluating forecasts do not capture the useful properties of some methods compared to alternatives

interest rates and the subjective probability distribution of inflation forecasts the interst rate effects of the first four moments of the subjective probability distribution of inflation forecasts from the asa nber survey are examined over the period 1968 4 1985 4 using tre asury bill yields as the nominal rate variable in the context of a re duced form fisher equation the authors find that inflation uncertain ty as measured by the average variance of the probability distributi ons of inflation forecasts to be insignificant however the average skewness and kurtosis variables which result from these probability distributions do significantly affect interest rates they interpret these effects as accounting for the level of risk or uncertainty abou t future inflation copyright 1988 by ohio state university press

the uncertainty multiplier and business cycles abstract i study a business cycle model where agents learn about the fundamentals by accumulating capital during recessions agents invest less and this generates noisier estimates of macroeconomic conditions and an increase in uncertainty the endogenous increase in aggregate uncertainty further reduces economic activity and thus gives rise to a multiplier effect that amplifies aggregate fluctuations to discipline learning dynamics i parametrize the model so that it matches not only standard business cycle moments but also survey data on macroeconomic forecasts i find that the uncertainty multiplier amplifies output standard deviation by 16

real options delay vs pre emption do industrial characteristics matter this paper presents an empirical study of the channels of influence from uncertainty to fixed investment suggested by real options theory using panel data from the confederation of british industry cbi industrial trends survey we report ols estimates of the impact of uncertainty on investment where the regressors are augmented by cross sectional averages of the dependent variable and of the individual specific regressors as recently suggested by pesaran pesaran m h 2006 estimation and inference in large heterogeneous panels with a multifactor error structure econometrica 74 967 1012 the cross industry pattern of results is checked for consistency with the pattern predicted by real options theory using a specially constructed data set of industrial characteristics we find that irreversibility is able to predict the pattern detected but only when combined with a measure of the information advantage of delay there is also evidence for expansion options effects industries with high r d and advertising intensities tend to have positive uncertainty effects

the relationships among expected inflation disagreement and uncertainty evidence from matched point and density forecasts abstract this paper examines matched point and density forecasts of inflation from the survey of professional forecasters to analyze the relationships among expected inflation disagreement and uncertainty we undertake the empirical analysis within a seemingly unrelated regression framework and derive measures of uncertainty using a decomposition proposed by wallis 2004 2005 and by drawing on the concept of entropy the results offer little evidence that disagreement is a useful proxy for uncertainty and mixed evidence that increases in expected inflation are accompanied by heightened uncertainty conversely we document a quantitatively and statistically significant positive association between disagreement and expected inflation

uncertainty in uk manufacturing evidence from qualitative survey data this paper generalizes the probability method of quantification carlson j and parkin m 1975 inflation expectations economica 42 123 138 to the variance facilitating the quantification of survey data which ask individuals whether they are uncertain an application evaluates time series and cross sectional proxies of uncertainty and considers how uncertainty affects investment

inflation uncertainties and returns on bonds the new wave of research on the effect of inflation on interest rates revolves around the incorporation of inflation uncertainty into the analysis 1 in a recent paper liviatan and levhari 1977 examine in a single period model the market risk premium on nominal bonds awarded as compensation for inflation related uncertainty where this premium is determined by attitudes of investors towards risk and the risk of inflation the hypothesis that nominal bonds carry an inflation uncertainty premium could be extended to multi period bonds this is also consistent with hick s 1946 liquidity premium which was estimated by kessel 1965 and mccullough 1975 who found systematic premia on the average returns of multi period bonds 2 this study too is concerned with the possible relationships between inflation uncertainties and the returns on multi period bonds we are examining the hypotheses using ex ante data and measures of inflation uncertainty based on these data the two sources of inflation uncertainty that may be associated with the returns on multi period bonds are the uncertainty about the rate of inflation in the next period and the uncertainty about expectations of inflation in future periods for a bond with two periods to maturity the holding period return is

are survey forecasts of macroeconomic variables rational this article examines the rationality of forecasts of 11 macroeconomic variables among the nonstationary series only surveys of housing starts the unemployment rate and the trade balance are rational forecasts among the stationary series survey forecasts for only consumer prices and personal income are consistent with rational expectations lack of rationality in forecasts of durable goods industrial production leading indicators money supply and retail sales suggests that such forecasts do not fully exploit public information indeed survey forecasts for industrial production and retail sales can be improved significantly with past information copyright 1995 by university of chicago press

fisher phillips friedman and the measured impact of inflation on interest a reply the purpose of this paper is to demonstrate that empirical findings which persistently appear to contradict the fisher hypothesis that the nominal rate of interest should rise by the full amount of an increase in anticipated inflation are due basically to a failure to control for changes in the real rate of interest that are associated with changes in anticipated inflation we are guided in our search for proper specification of a fisher equation by a simple general equilibrium model which is employed to derive the impact of a change in anticipated inflation upon nominal interest given the requirement that commodity money and labor markets remain in equilibrium in effect we depart from the empirical tradition which has grown up around testing of the fisher hypothesis that takes the real interest rate to be independent of anticipated inflation and argues that for anticipated inflation properly measured the data ought to support the fisher hypothesis 1

recovery rates uncertainty certainly matters abstract previous studies identify default rate as the main systematic determinant of bond recovery rates we revisit this paradigm by investigating the impact of another factor economic uncertainty based on a wide sample of american default issues and relying on beta regression models well suited for the bounded heteroskedastic and skewed sample of recovery rates we analyze the determinants of recovery rate distributions we find economic uncertainty to be of paramount importance as it proves to be the most important systematic determinant of recovery rate distributions significant for both their mean and dispersion by contrast default rate remains a key determinant of the dispersion of these distributions but not for their means considering this evidence is critical to the sound implementation of stochastic recovery rate models used by financial institutions for the computation of regulatory capital

cross section versus time series income elasticities of canadian consumption abstract five canadian surveys are used to compute cross section and time series income elasticities within pseudo panel elasticities differ significantly from between elasticities for most consumptions thus income elasticities computed using cross section data cannot be used to predict changes in consumption over time

are empirical measures of macroeconomic uncertainty alike there is a plethora of time series measures of uncertainty for inflation and real output growth in empirical studies but little is known whether they are comparable to the uncertainty measure reported by individual forecasters in the survey of professional forecasters are these two measures of uncertainty inherently distinct this paper shows that compared with many uncertainty proxies produced by time series models the use of real time data with fixed sample recursive estimation of an asymmetric bivariate generalized autoregressive conditional heteroskedasticity model yields inflation uncertainty estimates which resemble the survey measure there is however overwhelming evidence that many of the time series measures of growth uncertainty exceed the level of uncertainty obtained from survey measure our results highlight the relative merits of using different methods in modelling macroeconomic uncertainty which are useful for empirical researchers

uncertainty and labor contract durations this paper provides an empirical investigation into the relationship between ex ante u s labor contract durations and uncertainty over the period 1970 to 1995 we construct measures of inflation uncertainty as well as aggregate nominal and real uncertainty the results not only corroborate previous findings of an inverse relationship between contract durations and inflation uncertainty but also document that this relationship extends to both measures of aggregate uncertainty we also explore the robustness of this relationship to various measures of inflation uncertainty that have appeared in the literature

the relationship between forecast dispersion and forecast uncertainty evidence from a survey data arch model this paper examines empirically the relationship between measures of forecast dispersion and forecast uncertainty from data on inflation expectations from the livingston survey series and the survey research center src survey series because the survey series do not provide probabilistic forecasts of inflation we derive measures of inflation uncertainty by modelling the conditional variance of the inflation forecast errors from the survey series as an autoregressive conditional heteroscedastic arch process the analysis is complicated by the fact that the overlap of forecast horizons for the survey series does not preclude the model s disturbance terms from displaying autocorrelation and also places a restriction on the specification for the arch measures of inflation uncertainty we estimate the model using hansen s 1982 generalized method of moments gmm procedure to account for the presence of serial correlation and conditional heteroscedasticity in the disturbance terms the results generally support the hypothesis that the measures of forecast dispersion across survey respondents are positively and statistically significantly associated with the measures of inflation uncertainty however the appropriateness of using forecast dispersion measures as proxies for inflation uncertainty is sensitive to the choice of the survey series

meat meets meta a quantitative review of the price elasticity of meat the price elasticity of meat has been estimated in numerous studies that utilize a variety of disparate modeling procedures in light of differences in the literature a meta analysis is performed to assess the sensitivity of the meat price elasticity to a number of characteristics including the type of meat specification of demand nature of data estimation method characteristics of the publication outlet and location of demand the results from estimating linear and box cox meta regressions coupled with different panel data treatments reveal that these characteristics have differing influence on the reported price elasticity

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

interest rates uncertainty and the livingston data the observed relationship between the standard deviation of forecasts and past forecast errors as found in the livingston survey suggests the interpretation of the standard deviation as a measure of inflation uncertainty the mean and the standard deviation for the inflation rate forecast found in the livingston survey furthermore are used as regressors in a reduced form interest rate equation the results indicate a large negative effect of such uncertainty on interest rates the inclusion of the uncertainty measure and commonly omitted lagged values of all variables in our analysis of data leads to more theoretically plausible estimated effects of money growth and expected inflation on interest rates than do standard estimates

panel and pseudo panel estimation of cross sectional and time series elasticities of food consumption the case of american and polish data the problem addressed in this article is the bias to income and expenditure elasticities estimated on pseudo panel data caused by measurement error and unobserved heterogeneity we gauge empirically these biases by comparing cross sectional pseudo panel and true panel data from both polish and american expenditure surveys our results suggest that unobserved heterogeneity imparts a downward bias to cross section estimates of income elasticities of at home food expenditures and an upward bias to estimates of income elasticities of away from home food expenditures within and first difference estimators suffer less bias but only if the effects of measurement error are accounted for with instrumental variables

intertemporal consumption and credit constraints does total expenditure respond to an exogenous shock to credit there is continuing controversy over the importance of credit constraints this paper investigates whether total household expenditure and debt is affected by an exogenous increase in access to credit provided by a credit market reform that enabled danish house owners to use housing equity as collateral for consumption loans we find that the magnitude of the response is correlated with the amount of equity released by the reform and that the effect is strongest for younger households even for this group the response was moderate the aggregate effect of the reform was significant but small

the effects of real and nominal uncertainty on inflation and output growth some garch m evidence in this paper we use garch m methods to test four hypotheses about the effects of real and nominal uncertainty on average inflation and output growth in the united states from 1948 to 1996 we find no evidence that higher inflation uncertainty or higher output growth uncertainty raises the average inflation rate we also find no support for the idea that more risky output growth is associated with a higher average real growth rate our key result is that in a variety of models and sample periods inflation uncertainty significantly lowers real output growth copyright 2000 john wiley sons ltd

consensus and uncertainty in economic prediction we define consensus as the degree of agreement among point predictions aimed at the same target by different individuals and uncertainty as the diffuseness of the corresponding probability distributions this distinction is made operational with the aid of the nber asa survey data on matched point and probabilistic forecasts of inflation and the rate of change in gross national product the means of the two sets of forecasts agree closely standard deviations of point forecasts tend to understate uncertainty as measured by standard deviations of the predictive probability distributions however these measures of consensus and uncertainty are on the whole positively correlated there is evidence that expectations of higher inflation generate greater uncertainty about inflation tests also favor the hypothesis that a rise in inflation uncertainty has adverse effects on real growth

on inflation and inflation uncertainty in the g7 countries abstract the relationship between inflation and inflation uncertainty is investigated in the g7 countries from 1948 to 1993 garch models are used to generate a measure of inflation uncertainty and then granger methods are employed to test the causality between average inflation and inflation uncertainty in all g7 countries inflation significantly raises inflation uncertainty as predicted by friedman and ball weaker evidence is found that inflation uncertainty granger causes inflation in three countries us uk and germany increased inflation uncertainty lowers inflation while in two countries japan and france increased inflation uncertainty raises inflation