microstructure noise realized variance and optimal sampling a recent and extensive literature has pioneered the summing of squared observed intra daily returns realized variance to estimate the daily integrated variance of financial asset prices a traditional object of economic interest we show that in the presence of market microstructure noise realized variance does not identify the daily integrated variance of the frictionless equilibrium price however we demonstrate that the noise induced bias at very high sampling frequencies can be appropriately traded off with the variance reduction obtained by high frequency sampling and derive a mean squared error mse optimal sampling theory for the purpose of integrated variance estimation we show how our theory naturally leads to an identification procedure which allows us to recover the moments of the unobserved noise this procedure may be useful in other applications finally using the profits obtained by option traders on the basis of alternative variance forecasts as our economic metric we find that explicit optimization of realized variance s finite sample mse properties results in accurate forecasts and considerable economic gains copyright 2008 wiley blackwell

option pricing when the variance changes randomly theory estimation and an application in this paper we examine the pricing of european call options on stocks that have vari ance rates that change randomly we study continuous time diffusion processes for the stock return and the standard deviation parameter and we find that one must use the stock and two options to form a riskless hedge the riskless hedge does not lead to a unique option pricing function because the random standard deviation is not a traded security one must appeal to an equilibrium asset pricing model to derive a unique option pricing function in general the option price depends on the risk premium associated with the random standard deviation we find that the problem can be simplified by assuming that volatility risk can be diversified away and that changes in volatility are uncorrelated with the stock return the resulting solution is an integral ofthe black scholes formula and the distribution function for the variance of the stock price we show that accurate option prices can be computed via monte carlo simulations and we apply the model to a set of actual prices

learning and time varying macroeconomic volatility abstract this paper presents a dsge model in which agents learning about the economy can endogenously generate time varying macroeconomic volatility economic agents use simple models to form expectations and need to learn the relevant parameters their gain coefficient is endogenous and is adjusted according to past forecast errors the model is estimated using likelihood based bayesian methods the endogenous gain is jointly estimated with the structural parameters of the system the estimation results show that private agents appear to have often switched to constant gain learning with a high constant gain during most of the 1970s and until the early 1980s while reverting to a decreasing gain later on as a result the model can generate a pattern of volatility which is increasing in the 1970s and falling in the second half of the sample with a decline that can roughly match the magnitude of the so called great moderation in the 1984 2007 period the paper also documents how a failure to incorporate learning into the estimation may lead econometricians to spuriously find time varying volatility in the exogenous shocks even when these have constant variance by construction

simulating the longitudinal effects of changes in financial aid on student departure from college we use the estimates from a hazard model of college student departure to simulate how changes in financial aid packaging affect students departure decisions over time we find that changing loans to scholarships as princeton has recently done has a large impact on retention and that frontloading aid has a more modest impact our results also suggest that financial aid represents more to the student than just the dollar value of the aid offered increased knowledge about the temporal effects of different types of financial aid will help policy makers make more informed choices about the structure of financial aid packages

the pricing of options on assets with stochastic volatilities one option pricing problem that has hitherto been unsolved is the pricing of a european call on an asset that has a stochastic volatility this paper examines this problem the option price is determined in series form for the case in which the stochastic volatility is independent of the stock price numerical solutions are also produced for the case in which the volatility is correlated with the stock price it is found that the black scholes price frequently overprices options and that the degree of overpricing increases with the time to maturity one option pricing problem that has hitherto remained unsolved is the pricing of a european call on a stock that has a stochastic volatility from the work of merton 12 garman 6 and cox ingersoll and ross 3 the differential equation that the option must satisfy is known the solution of this differential equation is independent of risk preferences if a the volatility is a traded asset or b the volatility is uncorrelated with aggregate consumption if either of these conditions holds the risk neutral valuation arguments of cox and ross 4 can be used in a straightfoward way this paper produces a solution in series form for the situation in which the stock price is instantaneously uncorrelated with the volatility we do not assume that the volatility is a traded asset also a constant correlation between the instantaneous rate of change of the volatility and the rate of change of aggregate consumption can be accommodated the option price is lower than the blackscholes b s 1 price when the option is close to being at the money and higher when it is deep in or deep out of the money the exercise prices for which overpricing by b s takes place are within about ten percent of the security price this is the range of exercise prices over which most option trading takes place so we may in general expect the b s price to overprice options this effect is exaggerated as the time to maturity increases one of the most surprising implications of this is that if the b s equation is used to determine the implied volatility of a near the money option the longer the time to maturity the lower the implied volatility numerical solutions for the case in which the volatility is correlated with the stock price are also examined the stochastic volatility problem has been examined by merton 13 geske 7 johnson 10 johnson and shanno 11 eisenberg 5 wiggins 16 and

estimation of an asymmetric stochastic volatility model for asset returns a stochastic volatility model may be estimated by a quasi maximum likelihood procedure by transforming to a linear state space form the method is extended to handle correlation between the two disturbances in the model and applied to data on stock returns

the quantitative importance of news shocks in estimated dsge models we estimate a dynamic stochastic general equilibrium dsge model with several frictions and both unanticipated and news shocks using quarterly u s data from 1954 to 2004 and bayesian methods we find that unanticipated shocks dominate news shocks in accounting for the unconditional variance of output consumption and investment growth interest rate and the relative price of investment the unanticipated shock to the marginal efficiency of investment is the dominant shock accounting for over 45 of the variance in output growth news shocks account for less than 15 of the variance in output growth within the set of news shocks nontechnology sources of news dominate technology news with wage markup news shocks accounting for about 60 of the variance share of both hours and inflation we find that in the estimated dsge model i the presence of endogenous countercyclical price and wage markups due to nominal frictions substantially diminishes the importance of news shocks relative to a model without these frictions and ii while there is little change in the estimated contributions of technology news when we restrict wealth effects on labor supply the contributions of nontechnology news shocks are relatively more sensitive

declining volatility in the u s automobile industry dramatic changes in the volatility of output occurred in the u s auto industry in the early 1980s namely output volatility declined the covariance of inventory investment and sales grew more negative and adjustments to production schedules which in earlier decades stemmed primarily from plants hiring and laying off workers were more often accomplished with changes in average hours per worker after the mid 1980s using a linear quadratic inventory model with intensive and extensive labor adjustments we show how all of these changes could have stemmed from one underlying factor a decline in the persistence of motor vehicle sales jel g31 l25 l62 m11

sector style region explaining stock allocation performance the importance of asset allocation policy in stock bond portfolios is widely recognized drawing a parallel for equity only portfolios this study analyzed the importance of allocation by economic sector and by size and style in purely u s stock portfolios and the importance of regional allocation policy in international stock portfolios the study found that allocation policy explains one third to nearly three quarters of among fund variation in returns nearly 90 percent of across time variation and more than 100 percent of the level of stock portfolio returns

testing for indeterminacy an application to u s monetary policy reply this paper considers a prototypical new keynesian model in which the equilibrium is undetermined if monetary policy is passive the likelihood based estimation of dynamic equilibrium models is extended to allow for indeterminacies and sunspot fluctuations we construct posterior weights for the determinacy and indeterminacy region of the parameter space and estimates for the propagation of fundamental and sunspot shocks according to the estimated model u s monetary policy post 1982 is consistent with determinacy whereas the pre volcker policy is not we find that before 1979 indeterminacy substantially altered the propagation of shocks

stochastic volatility and dsge models abstract this paper argues that a specification of stochastic volatility commonly used in dsge models may not be appropriate because the level of a process with this specification does not have any moments we suggest three ways to overcome the problem

the stochastic volatility in mean model empirical evidence from international stock markets in this paper we present an exact maximum likelihood treatment for the estimation of a stochastic volatility in mean svm model based on monte carlo simulation methods the svm model incorporates the unobserved volatility as an explanatory variable in the mean equation the same extension is developed elsewhere for autoregressive conditional heteroscedastic arch models known as the arch in mean arch m model the estimation of arch models is relatively easy compared with that of the stochastic volatility sv model however efficient monte carlo simulation methods for sv models have been developed to overcome some of these problems the details of modifications required for estimating the volatility in mean effect are presented in this paper together with a monte carlo study to investigate the finite sample properties of the svm estimators taking these developments of estimation methods into account we regard sv and svm models as practical alternatives to their arch counterparts and therefore it is of interest to study and compare the two classes of volatility models we present an empirical study of the intertemporal relationship between stock index returns and their volatility for the united kingdom the united states and japan this phenomenon has been discussed in the financial economic literature but has proved hard to find empirically we provide evidence of a negative but weak relationship between returns and contemporaneous volatility which is indirect evidence of a positive relation between the expected components of the return and the volatility process copyright 2002 john wiley sons ltd

least squares inference on integrated volatility and the relationship between efficient prices and noise the expected value of sums of squared intraday returns realized variance gives rise to a least squares regression which adapts itself to the assumptions of the noise process and allows for joint inference on integrated variance noise moments and price noise relations in the iid noise case we derive the asymptotic variance of the and noise variance estimators and show that they are consistent the joint estimation approach is particularly attractive as it reveals important characteristics of the noise process which can be related to liquidity and market efficiency the analysis of dependence between the price and noise processes provides an often missing link to market microstructure theory we find substantial differences in the noise characteristics of trade and quote data arising from the effect of distinct market microstructure frictions this article has supplementary material online

measuring uncertainty and its impact on the economy we propose a new framework for measuring uncertainty and its effects on the economy based on a large var model with errors whose stochastic volatility is driven by two common unobservable factors representing aggregate macroeconomic and financial uncertainty the uncertainty measures can also influence the levels of the variables so that contrary to most existing measures ours reflect changes in both the conditional mean and volatility of the variables and their impact on the economy can be assessed within the same framework moreover identification of the uncertainty shocks is simplified with respect to standard var based analysis in line with the favar approach and with heteroskedasticity based identification finally the model which is also applicable in other contexts is estimated with a new bayesian algorithm which is computationally efficient and allows for jointly modeling many variables while previous var models with stochastic volatility could only handle a handful of variables empirically we apply the method to estimate uncertainty and its effects using us data finding that there is indeed substantial commonality in uncertainty sizable effects of uncertainty on key macroeconomic and financial variables with responses in line with economic theory

long run risks in the term structure of interest rates estimation summary this paper estimates a model in which persistent fluctuations in expected consumption growth expected inflation and their time varying volatility determine asset price variation the model features epstein zin recursive preferences which determine the market price of macro risk factors analysis of the us nominal term structure data from 1953 to 2006 shows that agents dislike high uncertainty and demand compensation for volatility risks also the time variation of the term premium is driven by the compensation for inflation volatility risk which is distinct from consumption volatility risk the central role of inflation volatility risk in explaining the time varying term premium is consistent with other empirical evidence including survey data in contrast the existing long run risks literature emphasizes consumption volatility risk and ignores inflation specific time varying volatility the estimation results of this paper suggest that inflation specific volatility risk is essential for fitting the time series of the us nominal term structure data copyright 2012 john wiley sons ltd

pricing european currency options a comparison of the modified black scholes model and a random variance model we use the modified black scholes model and a random variance option pricing model to study prices of european currency options traded in geneva the options which cannot be exercised early include calls and puts on the dollar swiss franc exchange rate in the empirical analysis we examine the model fit and the biases with respect to the strike price time to maturity and volatility there is some evidence of mispricing and there are small gains available by trading with the random variance model

leverage effects and stochastic volatility in spot oil returns a bayesian approach with var and cvar applications abstract crude oil markets have been quite volatile and risky in the past few decades due to the large fluctuations of oil prices we contribute to the current debate by testing for the existence of the leverage effect when considering daily spot returns in the wti and brent crude oil markets and by studying the direct impact of the leverage effect on measures of risk such as var and cvar more specifically we model spot crude oil returns using stochastic volatility sv models with various distributions of the errors we find that the introduction of the leverage effect in the traditional sv model with normally distributed errors is capable of adequately estimating risk for speculative oil suppliers in both the wti and brent markets our results also show that financial regulators model choice both on the supply and on the demand side would not be affected by the introduction of leverage focusing instead on firm s internal risk management our results show that the introduction of leverage would be useful for firms who are on the demand side for oil who use var for risk management and who are particularly worried about the magnitude of the losses exceeding var while wanting to minimize the opportunity cost of capital using the same logic firms who are on the supply side would be better off not considering the leverage effect

credit access and college enrollment does access to credit explain the gap in schooling attainment between children from richer and poorer families i present new evidence on this important question based on the causal effects of two

a non linear filtering approach to stochastic volatility models with an application to daily stock returns this paper develops a new model for the analysis of stochastic volatility sv models since volatility is a latent variable in sv models it is difficult to evaluate the exact likelihood in this paper a non linear filter which yields the exact likelihood of sv models is employed solving a series of integrals in this filter by piecewise linear approximations with randomly chosen nodes produces the likelihood which is maximized to obtain estimates of the sv parameters a smoothing algorithm for volatility estimation is also constructed monte carlo experiments show that the method performs well with respect to both parameter estimates and volatility estimates we illustrate our model by analysing daily stock returns on the tokyo stock exchange since the method can be applied to more general models the sv model is extended so that several characteristics of daily stock returns are allowed and this more general model is also estimated copyright 1999 john wiley sons ltd

the impact of the volatility of monetary policy shocks this paper studies the impact of the volatility of monetary policy using a structural vector auroregression svar model enriched along two dimensions first it allows for time varying variance of monetary policy shocks via a stochastic volatility specification second it allows a dynamic interaction between the level of the endogenous variables in the var and the time varying volatility the analysis establishes that the nominal interest rate output growth and inflation fall in reaction to an increase in the volatility of monetary policy the analysis also develops a dynamic stochastic general equilibrium model enriched with stochastic volatility to monetary policy that generates similar responses and provides a theoretical underpinning of these findings

investment adjustment costs an empirical assessment we evaluate empirical evidence for costs that penalize changes in investment using us industry data in aggregate models such investment adjustment costs have been introduced to help account for a variety of business cycle and asset market phenomena so far no attempt has been made to estimate these costs directly at a disaggregated level we consider an industry model with investment adjustment costs and estimate its parameters using generalized methods of moments the ndings indicate small costs associated with changing the ow of investment at the industry level the weighted average of the industry elasticities with respect to the shadow price of capital which depends inversely on the adjustment cost parameter is more than seven times larger than the largest estimate based on aggregate data we examine potential sources which may account for the large industry aggregate dierence overall our results suggest

doubts and variability a robust perspective on exotic consumption series in order for consumption based asset pricing models to reconcile data on returns with that on consumption researchers have resorted to augmenting the consumption series in exotic ways when an agent s consumption series is subject to changes in volatility we show that concerns for model misspecication can induce fears of both disasters and long run risk we appeal to this pessimistic view to explain why introducing stochastic volatility in the presence of model uncertainty helps generate a more plausible unconditional market price of risk and time variation in the conditional market price of risk our analysis is based on a parameterization derived from bayesian estimation of our stochastic volatility model using us consumption data

determinants of portfolio performance in order to delineate investment responsibility and measure performance contribution pension plan sponsors and investment managers need a clear and relevant method of attributing returns to those

estimation methods for stochastic volatility models a survey abstract although stochastic volatility sv models have an intuitive appeal their empirical application has been limited mainly due to difficulties involved in their estimation the main problem is that the likelihood function is hard to evaluate however recently several new estimation methods have been introduced and the literature on sv models has grown substantially in this article we review this literature we describe the main estimators of the parameters and the underlying volatilities focusing on their advantages and limitations both from the theoretical and empirical point of view we complete the survey with an application of the most important procedures to the s p 500 stock price index

stock prices and volume the authors undertake a comprehensive investigation of price and volume co movement using daily new york stock exchange data from 1928 to 1987 they adjust the data to take into account well known calendar effects and long run trends to describe the process they use a seminonparametric estimate of the joint density of current price change and volume conditional on past price changes and volume four empirical regularities are found 1 positive correlation between conditional volatility and volume 2 large price movements are followed by high volume 3 conditioning on lagged volume substantially attenuates the leverage effect and 4 after conditioning on lagged volume there is a positive risk return relation article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

the time varying volatility of macroeconomic fluctuations we investigate the sources of the important shifts in the volatility of us mac roeconomic variables in the postwar period to this end we propose the esti mation of dsge models allowing for time variation in the volatility of the structural innovations we apply our estimation strategy to a large scale model of the business cycle and find that shocks specific to the equilibrium condition of investment account for most of the sharp decline in volatility of the last two decades jel c51 e32

a maximum likelihood approach for non gaussian stochastic volatility models a maximum likelihood approach for the analysis of stochastic volatility models is developed the method uses a recursive numerical integration procedure that directly calculates the marginal likelihood only conventional integration techniques are used making this approach both flexible and simple experimentation shows that the method matches the performance of the best estimation tools currently in use new stochastic volatility models are introduced and estimated the model that best fits recent stock index data is characterized by a highly non gaussian stochastic volatility innovation distribution this model dominates a model that includes an autoregressive conditional heteroscedastic effect in the stochastic volatility process and a model that includes a stochastic volatility effect in the conditional mean

modelling the dynamics of bitcoin and litecoin garch versus stochastic volatility models abstractwe examine and compare a large number of generalized autoregressive conditional heteroskedastic garch and stochastic volatility sv models using series of bitcoin and litecoin price retu

the responses of youth to a cash transfer conditional on schooling a quasi experimental study summary we estimate the effect of cash transfers given to youth conditional on high school attendance on the labor supply decisions and academic performance of youth we exploit differences in the size of the total transfer received based on timing of birth to identify the causal effects of interest specifically individuals born late in a quarter receive a larger total transfer than comparable individuals born early in the following quarter we find that the transfer increases the labor market participation of youth and the number of months worked the estimated effect is larger for individuals from low income families the results suggest that some youths are borrowing constrained since we find no evidence of corresponding effects on academic performance alleviating the constraint appears only to affect consumption decisions and not human capital investment copyright 2011 john wiley sons ltd the provision of cash transfers to parents children and youth is an integral part of public policy in many organisation for economic co operation and development oecd countries however it is an open question whether cash transfers given to families is an effective way of increasing equality of opportunity as is the goal in this paper we investigate the relationship between adolescent outcomes and a publicly provided cash transfer to youth given conditional on high school attendance our contribution is twofold first we provide evidence on the effect of giving cash transfers to youth in a setting characterized by a high general transfer level and free access to education second using large administrative datasets covering the entire danish population combined with a quasi experimental setup we are able to identify the causal relation between cash transfers and adolescent behavior and outcomes

flexible parametric estimation of duration and competing risk models in this paper we specify and estimate a flexible parametric proportional hazards model the model specification is flexibly parametric in the sense that the baseline hazard is non parametric while the effect of the covariates takes a particular functional form we also add parametric heterogeneity to the underlying hazard model specification we specify a flexible parametric proportional competing risks model which permits unrestricted correlation among the risks unemployment duration data are then analysed using the flexible parametric duration and competing risks specifications we find an important effect arising from the exhaustion of unemployment insurance and significantly different hazards for the two types of risks new jobs and recalls

arch models properties estimation and testing abstract the aim of this survey paper is to provide an account of some of the important developments in the autoregressive conditional heteroskedasticity arch model since its inception in a seminal paper by engle 1982 this model takes account of many observed properties of asset prices and therefore various interpretations can be attributed to it we start with the basic arch models and discuss their different interpretations arch models have been generalized in different directions to accommodate more and more features of the real world we provide a comprehensive treatment of many of the extensions of the original arch model next we discuss estimation and testing for arch models and note that these models lead to some interesting and unique problems there have been numerous applications and we mention some of these as we present different models the paper includes a glossary of the acronyms for the models we describe

how do oil price shocks affect the output volatility of the u s energy mining industry the roles of structural oil price shocks abstract this paper focuses on how explicit structural shocks that characterize the endogenous character of international oil price change affect the output volatility of the u s crude oil and natural gas mining industries to this end we employ a modified structural vector autoregressive model svar to decompose real oil price changes into four components u s supply shocks non u s supply shocks aggregate demand shocks and oil specific demand shocks mainly driven by precautionary demand the results indicate that output volatility of the u s crude oil and natural gas mining industry has significantly negative responses to u s supply shocks aggregate demand shocks and oil specific demand shocks while lacks significant response to non u s supply shocks variance decomposition and historical decomposition confirm that u s supply shocks occupy most explaining variations in output volatility among the four structural oil shocks moreover the oil specific demand shocks explain more variation than that of aggregate demand shocks for the crude oil mining industry but the opposite is true for the natural gas mining industry

stock returns and volatility an empirical study of the uk stock market abstract attempts to quantify the relationship between stock returns and volatility have produced conflicting conclusions in recent u s studies our paper examines this issue in the u k context for the first time using daily weekly fortnightly and monthly returns on the financial times all share index from january 1965 to december 1989 volatility estimates are obtained from monthly sample variances and arch models expected returns are shown to have had a positive though not statistically significant relationship with expected volatility the relationship between the unexpected components of the returns and volatility series is less clear we find evidence for a negative relationship but only when volatility expectations are represented by standard deviations

inflation uncertainty and labour market conditions in the us recent inflation dynamics in the united states us questioned the role of driving forces of inflation in the long run although the us recorded one of the longest economic recovery periods and the

a new approach to identifying the real effects of uncertainty shocks this article introduces the use of the sign restrictions methodology to identify uncertainty shocks we apply our methodology to a class of vector autoregression models with stochastic volatility t

option values under stochastic volatility theory and empirical estimates abstract this paper numerically solves the call option valuation problem given a fairly general continuous stochastic process for return volatility statistical estimators for volatility process parameters are derived and parameter estimates are calculated for several individual stocks and indices the resulting estimated option values do not differ dramatically from black scholes values in most cases although there is some evidence that for longer maturity index options black scholes overvalues out of the money calls in relation to in the money calls

unemployment insurance and unemployment spells this paper tests the effects of the level and length of unemployment insurance benefits on unemployment durations the paper particularly studies individual behavior during the weeks just prior to when benefits lapse higher unemployment insurance benefits are found to have a strong negative effect on the probability of leaving unemployment however the probability of leaving unemployment rises dramatically just prior to when benefits lapse individual data are used with accurate information of spell durations and the level and length of benefits the semiparametric estimation techniques used in the paper yield more plausible estimates than conventional approaches and provide useful diagnostics copyright 1990 by the econometric society

weighting recent performance to improve college and labor market outcomes abstract there is a great deal of policy interest in reducing college dropout rates increasing graduation rates and improving labor market outcomes to this end individual colleges and state university systems use high school grade point averages and class rankings in an effort to offer admission and scholarships to students who are most likely to achieve long run success however a significant fraction of students exhibit steep positive or negative performance trends during high school this study shows that academic performance in later grades is given no greater weight in admissions but is the best predictor of college and labor market outcomes greatly exceeding prior grades and entrance exam scores placing greater weight on later grades and extending application deadlines to allow the consideration of 12th grade performance is shown to significantly alter which students are admitted to college and to improve their expected long run outcomes importantly weighting recent performance does not appear to affect college diversity evidence is presented that the predictive power of later grades is driven primarily by students who experience large negative performance trajectories during high school

realized volatility forecasting in the presence of time varying noise observed high frequency financial prices can be considered as having two components a true price and a market microstructure noise perturbation it is an empirical regularity coherent with classical market microstructure theories of price determination that the second moment of market microstructure noise is time varying we study the optimal from a finite sample forecast mean squared error mse standpoint frequency selection for realized variance in linear variance forecasting models with time varying market microstructure noise we show that the resulting sampling frequencies are generally considerably lower than those that would be optimally chosen when time variation in the second moment of the noise is unaccounted for these optimal lower frequencies have the potential to translate into considerable out of sample mse gains when forecasting using high frequency variance estimates we recommend treating the relevant frequency as a parameter and evaluating it jointly with the parameters of the f

money demand heterogeneity and the great moderation abstract a forward looking model of the demand for money based on heterogeneous and sluggish portfolio adjustment can simultaneously account for the low short run and high long run semi elasticities reported in the literature the parameter estimates from the model for the short run and long run interest semi elasticities are 1 04 and 13 16 respectively a simulated version of the model suggests that the great moderation can be partially attributed to financial innovations in the late 1970s when moving toward a more flexible portfolio the model can account for almost one third of the observed decline in the volatilities of output consumption and investment

the importance of asset allocation this article discusses the impact on performance of the long term asset allocation policy relative to the impact of active management most of the variation in time series returns for a typical fund comes from general market movement the remaining variation comes about equally from asset allocation policy and active management

long run implications of investment specific technological change an attempt is made to disentangle its effects from the more traditional hicksneutral form of technological progress the balanced growth path for the model is characterized and calibrated to u s national income and product account nipa data the quantitative analysis suggests that investment specific technological change accounts for the major part of growth jel e13 030 041 047

were there regime switches in u s monetary policy working paper 2004 14 june 2004 abstract a multivariate model identifying monetary policy and allowing for simultaneity and regime switching in coefficients and variances is confronted with u s data since 1959 the best fit is with a model that allows time variation in structural disturbance variances only among models that also allow for changes in equation coefficients the best fit is for a model that allows coefficients to change only in the monetary policy rule that model allows switching among three main regimes and one rarely and briefly occurring regime the three main regimes correspond roughly to periods when most observers believe that monetary policy actually differed and the differences in policy behavior are substantively interesting though statistically ill determined the estimates imply monetary targeting was central in the early 80s but was also important sporadically in the 70s the changes in regime were essential neither to the rise in inflation in the 70s nor to its decline in the 80s jel classification e52 e47 c53 key words counterfactuals lucas critique policy rule monetary targeting simultaneity volatility model comparison i the debate over monetary policy change in an influential paper clarida gali and gertler 2000 cgg presented evidence that us monetary policy changed between the 1970 s and the 1980 s indeed that in the 70 s it was drastically worse they found that the policy rule apparently followed in the 70 s was one that when embedded in most stochastic general equilibrium models would imply non uniqueness of the equilibrium and hence vulnerability of the economy to sunspot fluctuations of arbitrarily large size their estimated policy rule for the later period on the other hand eliminated this indeterminacy these results are a possible explanation of the volatile and rising inflation of the 70 s and of its subsequent decline the cgg analysis has two important weaknesses one is that it fails to account for stochastic volatility us macroeconomic variables and particularly the federal funds rate have gone through periods of tranquility and of agitation with forecast error variances varying greatly from period to period ignoring such variation does not lead to inconsistent estimates of model parameters when the forecasting equations themselves are constant but it strongly biases toward a finding of changed parameters tests of the stability of the forecasting equations the other weakness is that the cgg analysis rests on powerful and implausible identifying assumptions they require that we accept that the response of the monetary authority to expected future inflation and output does not depend on the recent history of inflation money growth or output it is hard to understand why this should be so especially in the 70 s when monetarism was a prominent theme in policy debates congress was requiring reports from the fed of projected time paths of monetary aggregates and financial markets were reacting sensitively to weekly money supply numbers the requirement for existence and uniqueness of equilibrium in dynamic models is that the monetary policy rule show a more than unit response of interest rates to the sum of the logs of all nominal variables that appear on the right hand side of the reaction function if we force a particular measure of expected future inflation to proxy for all the nominal variables that actually appear independently in the reaction function we are bound to get distorted conclusions on the one hand because expected future inflation will be a noisy measure of the full set of nominal influences on policy we might get downward bias in our estimates from the usual errorsin variables effect on the other hand to the extent that expected future inflation like most expected future values shows less variation than current nominal variables we could find a mistaken scaling up of coefficients

the decline in u s output volatility explanations for the decline in u s output volatility since the mid 1980s include better policy good luck and technological change our multiple break estimates suggest that reductions in volatility since the mid 1980s extend not only to manufacturing inventories but also to sales this finding along with a concentration of the reduction in the volatility of inventories in materials and supplies and the lack of a significant break in the inventory sales covariance imply that new inventory technology cannot account for most of the decline in output volatility

on the fit of new keynesian models this article provides new tools for the evaluation of dynamic stochastic general equilibrium dsge models and applies them to a large scale new keynesian model we approximate the dsge model by a vector autoregression and then systematically relax the implied cross equation restrictions and document how the model fit changes we also compare the dsge model s impulse responses to structural shocks with those obtained after relaxing its restrictions we find that the degree of misspecification in this large scale dsge model is no longer so large as to prevent its use in day to day policy analysis yet is not small enough to be ignored

college entry by blacks since 1970 the role of college costs family background and the returns to education college enrollment of black 18 19 year old high school graduates declined from 1980 through 1984 and then rebounded after 1984 this paper presents data from a time series of cross sections of 18 19 year old youths from 1973 through 1988 to test the role of family background direct college costs local economic conditions and returns to college in driving these trends the evidence suggests that on the one hand increases in direct college costs were driving enrollment rates downward throughout the eighties on the other hand dramatic increases in average parental education for black youths exerted upward pressure on college enrollment by blacks particularly in the latter half of the decade the net effect of these two factors contributed to the pattern of decline and recovery observed during the eighties

omitted ability bias and the increase in the return to schooling over the 1980s there were sharp increases in the return to schooling estimated with conventional wage regressions we explore whether the relationship between ability and schooling changed over this period in ways that would have increased the schooling coefficient in these regressions our empirical results reject the hypothesis that an increase in the bias of the schooling coefficient due to a change in the relationship between ability and schooling has contributed to observed increases in the return to schooling we also find that the increase in the schooling return has occurred for workers with relatively high levels of academic ability

the thrift crisis mortgage credit intermediation and housing activity this paper evaluates the influence of periodic disruptions in the thrift industry on mortgage credit intermediation and housing activity results of the analysis indicate that disruptions in the thrift industry during the early 1980s imposed real costs on the economy by reducing the amount of mortgage credit intermediation estimation findings indicate a sizable mortgage interest rate premium stemming from the loss in thrift intermediation services during the early 1980s those higher mortgage rates served to dampen housing demand in turn exacerbating the cyclical decline in contrast empirical findings for the post recession period of the 1980s indicates a severing of the link between mortgage interest rates and thrift provision of mortgage credit copyright 1995 by ohio state university press

the equal importance of asset allocation and active management what is the relative importance of asset allocation policy versus active portfolio management in explaining variability in performance considerable confusion surrounds both time series and cross sectional regressions and the importance of asset allocation cross sectional regressions naturally remove market movements therefore the cross sectional results in the literature are equivalent to analyses of excess market returns even though the regressions were performed on total returns in contrast time series analyses of total returns do not naturally remove market movements time series analyses of excess market returns and cross sectional analyses of either total or excess market returns however are consistent with each other with market movements removed asset allocation and active management are equally important in determining portfolio return differences within a peer group finally an examination of period by period cross sectional results reveals why researchers using the same regression technique can get widely different results

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

the stochastic volatility in mean model with time varying parameters an application to inflation modeling this article generalizes the popular stochastic volatility in mean model to allow for time varying parameters in the conditional mean the estimation of this extension is nontrival since the volatility appears in both the conditional mean and the conditional variance and its coefficient in the former is time varying we develop an efficient markov chain monte carlo algorithm based on band and sparse matrix algorithms instead of the kalman filter to estimate this more general variant the methodology is illustrated with an application that involves u s u k and germany inflation the estimation results show substantial time variation in the coefficient associated with the volatility highlighting the empirical relevance of the proposed extension moreover in a pseudo out of sample forecasting exercise the proposed variant also forecasts better than various standard benchmarks

more is more or more is less parental financial investments during college evidence shows that parental financial investments increase college attendance but we know little about how these investments shape postsecondary achievement two theoretical frameworks suggest diametric conclusions some studies operate from a more is more perspective in which children use calculated parental allocations to make academic progress in contrast a more is less perspective rooted in a different model of rational behavior suggests that parental investments create a disincentive for student achievement i adjudicate between these frameworks using data from nationally representative postsecondary datasets to determine what effect financial parental investments have on student gpa and degree completion the findings suggest seemingly contradictory processes parental aid decreases student gpa but it increases the odds of graduating net of explanatory variables and accounting for alternative funding rather than strategically using resources in accordance with parental goals or maximizing