multinationals productivity advantage scale or technology this study decomposes the productivity advantage of foreign multinationals into a technology and a scale effect and analyses the causal relationship between foreign ownership and these two components this is done by analyzing the effects of an acquisition of a domestic establishment by a foreign multinational using a combined propensity score matching and difference in differences estimation the main results show that any positive impact of acquisition is predominantly due to changes in technical efficiency and not in scale and that the preacquisition productivity of the target plays a role in mediating the rate of technology transfer from the multinational jel f23 l22

fdi as an outcome of the market for corporate control theory and evidence abstract much foreign direct investment fdi takes the form of mergers and acquisitions m a it is commonplace in finance to view acquisitions as manifestations of the market for corporate control following on that insight we propose a model of fdi in which headquarters bid to control overseas assets we derive an equation for bilateral fdi stocks that resembles the recently developed fixed effects approach to modelling bilateral trade flows we estimate the model and use its parameters to construct benchmarks for evaluating multilateral inward and outward fdi

sequential bayesian inference for vector autoregressions with stochastic volatility abstract we develop a sequential monte carlo smc algorithm for bayesian inference in vector autoregressions with stochastic volatility var sv the algorithm builds particle approximations to the sequence of the model s posteriors adapting the particles from one approximation to the next as the window of available data expands the parallelizability of the algorithm s computations allows the adaptations to occur rapidly our particular algorithm exploits the ability to marginalize many parameters from the posterior analytically and embeds a known markov chain monte carlo mcmc algorithm for the model as an effective mutation kernel for fighting particle degeneracy we show that relative to using mcmc alone our algorithm increases the precision of inference while reducing computing time by an order of magnitude when estimating a medium scale var sv model

oil prices brownian motion or mean reversion a study using a one year ahead density forecast criterion abstract for oil related investment appraisal an accurate description of the evolving uncertainty in the oil price is essential for example when using real option theory to value an investment a density function for the future price of oil is central to the option valuation the literature on oil pricing offers two views the arbitrage pricing theory literature for oil suggests geometric brownian motion and mean reversion models empirically driven literature suggests arma garch models in addition to reflecting the volatility of the market the density function of future prices should also incorporate the uncertainty due to price jumps a common occurrence in the oil market in this study the accuracy of density forecasts for up to a year ahead is the major criterion for a comparison of a range of models of oil price behaviour both those proposed in the literature and following from data analysis the kullbach leibler information criterion is used to measure the accuracy of density forecasts using two crude oil price series brent and west texas intermediate wti representing the us market we demonstrate that accurate density forecasts are achievable for up to nearly two years ahead using a mixture of two gaussians innovation processes with garch and no mean reversion

estimation and forecasting in models with multiple breaks this paper develops a new approach to change point modelling that allows the number of change points in the observed sample to be unknown the model we develop assumes that regime durations have a poisson distribution it approximately nests the two most common approaches the time varying parameter tvp model with a change point every period and the change point model with a small number of regimes we focus considerable attention on the construction of reasonable hierarchical priors both for regime durations and for the parameters that characterize each regime a markov chain monte carlo posterior sampler is constructed to estimate a version of our model which allows for change in conditional means and variances we show how real time forecasting can be done in an efficient manner using sequential importance sampling our techniques are found to work well in an empirical exercise involving u s gdp growth and inflation empirical results suggest that the number of change points is larger than previously estimated in these series and the implied model is similar to a tvp with stochastic volatility model

foreign direct investment heterogeneous workers and employment security evidence from germany we analyze how foreign direct investment fdi affects employment security using administrative microdata for german employees measuring fdi intensity at the industry level enables us to take into account the sum of direct effects at multinationals as well as indirect effects of fdi throughout the affected industry we find that both inward and outward fdi significantly reduce employment security this is particularly the case for inward fdi coming from the western part of the european union as well as for outward fdi going to central and eastern europe the effects are sizeable for older and low skilled workers

real time inflation forecasting in a changing world this article revisits the accuracy of inflation forecasting using activity and expectations variables we apply bayesian model averaging across different regression specifications selected from a set of potential predictors that includes lagged values of inflation a host of real activity data term structure data relative price data and surveys in this model average we can entertain different channels of structural instability by either incorporating stochastic breaks in the regression parameters of each individual specification within this average or allowing for breaks in the error variance of the overall model average or both thus our framework simultaneously addresses structural change and model uncertainty that would unavoidably affect any inflation forecast model the different versions of our framework are used to model u s personal consumption expenditures pce deflator and gross domestic product gdp deflator inflation rates for the 1960 2011 period a real time inflation forecast

sources of the great moderation a time series analysis of gdp subsectors recent work finds evidence that the volatility of the u s economy fell dramatically around the first quarter of 1984 we trace the timing of this so called great moderation across many subsectors of the economy in order to better understand its root cause we find that the interest rate sensitive sectors generally experience a much earlier volatility decline than other large sectors of the economy the changes in federal reserve stabilization policies that occurred during the early 1980s support the view that an improved monetary policy played an important role in stabilizing real economic activity we find only mild evidence that good luck was important and little evidence to support the claim that improved inventory management was important

monetary policy taxes and the business cycle this paper analyzes the interaction of inflation with the tax code and its contribution to aggregate fluctuations we find significant effects operating through the tax on realized nominal capital gains a tax on nominal bond income magnifies these effects our innovation is to combine monetary policy shocks with non indexed taxes in a model where the central bank implements policy using an interest rate rule monetary policy had important effects on the behavior of the business cycle before 1980 because policymakers did not exert effective control over inflation monetary policy reform around 1980 led to better control and with more stable inflation the effect of the interaction between monetary policy and the nominal capital gains tax has become negligible

var analysis and the great moderation post world war ii us macroeconomic history is usually divided into two distinct subperiods the former period which extends up to the end of the volcker disinflation is characterized by a significant extent of macroeconomic turbulence with highly volatile inflation and output growth the latter period from the end of the volcker disinflation up to the present day is marked in contrast by significantly smaller volatilities for both inflation and output growth these dramatic changes in the reduced form properties of the us economy over the last several decades char acterize a phenomenon known as the great moderation see in particular chang jin kim and charles nelson 1999 margaret mcconnell and gabriel perez quiros 2000 a vast empirical literature has investigated the source s of the great moderation in an attempt to disentangle the relative contributions of two main explanations good policy and good luck based on time varying or markov switching structural var methods the good luck hypoth esis has been advocated by a number of authors including james h stock and mark w watson 2003 giorgio e primiceri 2005 christopher sims and tao zha 2006 and luca gambetti evi pappa and fabio canova 2008

stochastic trends and economic fluctuations are business cycles mainly the result of permanent shocks to productivity this paper uses a long run restriction implied by a large class of real business cycle models identifying permanent productivity shocks as shocks to the common stochastic trend in output consumption and investment to provide new evidence on this question econometric tests indicate that this common stochastic trend cointegration implication is consistent with postwar u s data however in systems with nominal variables the estimates of this common stochastic trend indicate that permanent productivity shocks typically explain less than half of the business cycle variability in output consumption and investment copyright 1991 by american economic association

a conditional distribution model for limited stock index returns abstract when a price limit regime exists for all of the stocks involved in an index the index return is an aggregate of limited variables and thereby it is restricted to the same limits we argue that neither a censored nor a truncated distribution model is appropriate for the aggregate return the proposed mixed beta distribution allows for varying conditional mean and volatility and with increasing volatility it changes from leptokurtic to platykurtic densities the model is illustrated and statistically evaluated with an empirical application to the shanghai stock market index returns under a 10 price change limit regime

macroeconomic forecasting performance under alternative specifications of time varying volatility summary this paper compares alternative models of time varying volatility on the basis of the accuracy of real time point and density forecasts of key macroeconomic time series for the usa we consider bayesian autoregressive and vector autoregressive models that incorporate some form of time varying volatility precisely random walk stochastic volatility stochastic volatility following a stationary ar process stochastic volatility coupled with fat tails garch and mixture of innovation models the results show that the ar and var specifications with conventional stochastic volatility dominate other volatility specifications in terms of point forecasting to some degree and density forecasting to a greater degree copyright 2014 john wiley sons ltd

are output growth rate distributions fat tailed some evidence from oecd countries this work explores some distributional properties of aggregate output growth rate time series we show that in the majority of oecd countries output growth rate distributions are well approximated by symmetric exponential power densities with tails much fatter than those of a gaussian fat tails robustly emerge in output growth rates independently of i the way we measure aggregate output ii the family of densities employed in the estimation iii the length of time lags used to compute growth rates we also show that fat tails still characterize output growth rate distributions even after one washes away outliers autocorrelation and heteroscedasticity

extracting a robust u s business cycle using a time varying multivariate model based bandpass filter we develop a flexible business cycle indicator that accounts for potential time variation in macroeconomic variables the coincident economic indicator is based on a multivariate trend cycle decomposition model and is constructed from a moderate set of us macroeconomic time series in particular we consider an unobserved components time series model with a common cycle that is shared across different time series but adjusted for phase shift and amplitude the extracted cycle can be interpreted as a model based bandpass filter and is designed to emphasize the business cycle frequencies that are of interest to applied researchers and policymakers stochastic volatility processes and mixture distributions for the irregular components and the common cycle disturbances enable us to account for the heteroskedasticity present in the data forecasting results are presented for a set of different specifications point forecasts from the preferred model indicate a future recession with the uncertainty over the business cycle growing quickly as the forecast horizon increases copyright 2010 john wiley sons ltd

dynamic cyclical comovements between oil prices and us gdp a wavelet perspective abstract in this paper we use wavelet analysis to investigate the cyclical comovements between crude oil prices and us gdp taking into account the decline in the volatility of us gdp growth that has occurred since the mid 1980s our main findings suggest that before 1984 q1 the crude oil prices were leading the us gdp cycle by 3 quarters and granger cause us gdp in contrast after 1984 q1 the crude oil prices were lagging the us business cycle and a reverse causality is found to run from us gdp to oil prices the multiscale granger causality tests globally corroborate theses results

volatility accounting a production perspective on increased economic stability this paper examines the declining volatility of u s output growth from a production perspective at the aggregate level increased output stability reflects decreased volatility in both labor productivity growth and hours growth as well as a significant decline in the covariance the decline in output volatility can also be traced to less volatile labor input and total factor productivity growth and the smaller covariance between them at the industry level the decline in volatility appears widespread with about 80 of component industries showing smaller contributions to aggregate output volatility after 1984 although most of the aggregate decline reflects smaller covariances between industries there is also strong evidence of a decline in the correlation between hours and labor productivity growth across industries the paper concludes with a discussion of potential explanations jel e0 e3

the cyclicality of real wages within employer employee matches using data from the panel study of income dynamics the author examines the cyclicality of wages within employer employee matches for the years 1970 91 recent research on wage cyclicality has suggested that wages are very procyclical tending to rise and fall with economic upturns and downturns even for workers who remain with the same employer the author finds however that the evidence for wage procyclicality within the matches he examines is rather weak except for the small group of workers who were paid by piece rate or commissions despite having acyclical wage rates men who were paid hourly had earnings movements that were very procyclical salaries exhibited little cyclicality but salaried workers who had income sources from bonuses commissions or overtime had procyclical earnings the results suggest that the increasing prevalence of incentive based pay will increase the procyclicality of wages within matches

the role of asymmetries and regime shifts in the term structure of interest rates we examine the relationship between interest rates of different maturities for the us germany and japan over the period 1982 2000 using a general multivariate vector equilibrium correction modelling framework capable of simultaneously allowing for asymmetric adjustment and regime shifts this approach has a very general underlying theoretical rationale that allows for time varying term premia and other short run deviations from the expectations model of the term structure the resulting nonlinear models provide good in sample fits display regime switches closely related to key state variables driving monetary policy decisions and have satisfactory out of sample forecasting properties

the unemployment volatility puzzle is wage stickiness the answer i discuss the failure of the canonical search and matching model to match the cyclical volatility in the job finding rate i show that job creation in the model is influenced by wages in new matches i summarize microeconometric evidence and find that wages in new matches are volatile and consistent with the model s key predictions therefore explanations of the unemployment volatility puzzle have to preserve the cyclical volatility of wages i discuss a modification of the model based on fixed matching costs that can increase cyclical unemployment volatility and is consistent with wage flexibility in new matches

learning and the great moderation we study a stylized theory of the volatility reduction in the u s after 1984 the great moderation which attributes part of the stabilization to less volatile shocks and another part to more difficult inference on the part of bayesian households attempting to learn the latent state of the economy we use a standard equilibrium business cycle model with technology following an unobserved regime switching process after 1984 according to kim and nelson 1999a the variance of u s macroeconomic aggregates declined because boom and recession regimes moved closer together keeping conditional variance unchanged in our model this makes the signal extraction problem more difficult for bayesian households and in response they moderate their behavior reinforcing the effect of the less volatile stochastic technology and contributing an extra measure of moderation to the economy we construct example economies in which this learning effect accounts for about 30 of a volatility reduction of the magnitude observed in the postwar u s data

bayesian counterfactual analysis of the sources of the great moderation we use counterfactual experiments to investigate the sources of the large volatility reduction in us real gdp growth in the 1980s contrary to an existing literature that conducts counterfactual experiments based on classical estimation and point estimates we consider bayesian analysis that provides a straightforward measure of estimation uncertainty for the counterfactual quantity of interest using blanchard and quah s 1989 structural var model of output growth and the unemployment rate we find strong statistical support for the idea that a counterfactual change in the size of structural shocks alone with no corresponding change in the propagation of these shocks would have produced the same overall volatility reduction as what actually occurred looking deeper we find evidence that a counterfactual change in the size of aggregate supply shocks alone would have generated a larger volatility reduction than a counterfactual change in the size of aggregate demand shocks alone we show that these results are consistent with a standard monetary var for which counterfactual analysis also suggests the importance of shocks in generating the volatility reduction but with the counterfactual change in monetary shocks alone generating a small reduction in volatility copyright 2007 john wiley sons ltd

multinomial var backtests a simple implicit approach to backtesting expected shortfall under the fundamental review of the trading book frtb capital charges for the trading book are based on the coherent expected shortfall es risk measure which show greater sensitivity to tail risk in this paper it is argued that backtesting of expected shortfall or the trading book model from which it is calculated can be based on a simultaneous multinomial test of value at risk var exceptions at different levels an idea supported by an approximation of es in terms of multiple quantiles of a distribution proposed in emmer et al 2015 by comparing pearson nass and likelihood ratio tests lrts for different numbers of var levels n it is shown in a series of simulation experiments that multinomial tests with n 4 are much more powerful at detecting misspecifications of trading book loss models than standard bi nomial exception tests corresponding to the case n 1 each test has its merits pearson offers simplicity nass is robust in its size properties to the choice of n the lrt is very powerful though slightly over sized in small samples and more computationally burdensome a traffic light system for trading book models based on the multinomial test is proposed and the recommended procedure is applied to a real data example spanning the 2008 financial crisis

modeling the co movements between crude oil and refined petroleum markets abstract in this paper we investigate two types of asymmetries i e the asymmetry in the lower and upper tail dependences and the asymmetry in the propagation of crisis bubble between crude oil market and refined petroleum markets based on copula models thirteen copula models with different types of dependence structures and time varying dependence parameters are considered we find that in general the malm copula fits our sample data best based on aic criterion we find that lower and upper tail dependences are both positive indicating that crude oil and refined product markets tend to move together using the asymmetric copulas we find asymmetry in tail dependence between crude oil and heating oil returns and that between crude oil and jet fuel returns interestingly upper tail dependence is significantly greater than the lower tail dependence for the pre crisis period while the result is reversed for the post crisis period finally although our data prefers the nonexchangeable malm copula the asymmetry in the propagation of crisis bubble between crude oil and refined product returns is very weak

the macroeconomic and fiscal implications of inflation forecast errors abstract the accuracy of inflation forecasts has important implications for macroeconomic stability and real interest rates in economies with nominal rigidities erroneous forecasts destabilize output undermine the conduct of monetary policy under inflation targeting and affect the cost of both short and long term government borrowing we propose a new method for forecasting inflation that combines individual forecasts using time varying coefficient estimation along with an alternative method based on neural nets its application to forecast data from the us and the euro area produces superior performance relative to the standard practice of using individual or linear combinations of individual forecasts especially during periods marked by structural changes

modelling inflation volatility this paper discusses estimation of us inflation volatility using time varying parameter models in particular whether it should be modelled as a stationary or random walk stochastic process specifying inflation volatility as an unbounded process as implied by the random walk conflicts with priors beliefs yet a stationary process cannot capture the low frequency behaviour commonly observed in estimates of volatility we therefore propose an alternative model with a change point process in the volatility that allows for switches between stationary models to capture changes in the level and dynamics over the past 40 years to accommodate the stationarity restriction we develop a new representation that is equivalent to our model but is computationally more efficient all models produce effectively identical estimates of volatility but the change point model provides more information on the level and persistence of volatility and the probabilities of changes for example we find a few well defined switches in the volatility process and interestingly these switches line up well with economic slowdowns or changes of the federal reserve chair moreover a decomposition of inflation shocks into permanent and transitory components shows that a spike in volatility in the late 2000s was entirely on the transitory side and characterized by a rise above its long run mean level during a period of higher persistence

intra industry foreign direct investment we use a new firm level data set that establishes the location ownership and activity of 650 000 multinational subsidiaries close to a comprehensive picture of global multinational activity a number of patterns emerge from the data most foreign direct investment fdi occurs between rich countries the share of vertical fdi subsidiaries which provide inputs to their parent firms is larger than commonly thought even within developed countries more than half of all vertical subsidiaries are only observable at the four digit level because the inputs they are supplying are so proximate to their parent firms final good that they appear identical at the two digit level we call these proximate subsidiaries intra industry vertical fdi and find that their location and activity are significantly different to the inter industry vertical fdi visible at the two digit level these subsidiaries are not readily explained by the comparative advantage considerations in traditional models where firms locate their low skill production stages abroad in low skill countries to take advantage of factor cost differences we find that overwhelmingly multinationals tend to own the stages of production proximate to their final production giving rise to a class of high skill intra industry vertical fdi

a new model of trend inflation this article introduces a new model of trend inflation in contrast to many earlier approaches which allow for trend inflation to evolve according to a random walk ours is a bounded model which ensures that trend inflation is constrained to lie in an interval the bounds of this interval can either be fixed or estimated from the data our model also allows for a time varying degree of persistence in the transitory component of inflation in an empirical exercise with cpi inflation we find the model to work well yielding more sensible measures of trend inflation and forecasting better than popular alternatives such as the unobserved components stochastic volatility model this article has supplementary materials online

structural changes and the us money demand function previous literature on the stability of the us money demand function suggests mixed results in this article we study the stability of the money demand function from the standpoint of structural changes in the function we first investigate if a stable money demand function can be found for the us for the period from the first quarter of 1959 to the fourth quarter of 2000 the results show that a stable long run money demand function does not exist for the sample period under consideration we then estimate unknown structural break points in the variables of the money demand function using bai and perron s 1998 method and test if there is a stable relationship in each sub sample period of the break points the results show that a stable relationship exists for each sub sample period the estimated income elasticity and interest rate semi elasticity are relatively smaller than ball s 2001 estimates but consistent with his argument

real wages over the business cycle evidence from panel data one topic on which keynes did not disagree with classical economists was the cyclical behavior of real wages keynes 1936 as well as various classical writers predicted that real wages should move countercyclically quoting the general theory p 17 in general an increase in employment can only occur through the accompaniment of a decline in real wages thus i am not disputing this vital fact which the classical economists have rightly asserted as indefeasible this prediction is based on the premise of competition and a given short run capital stock increases in employment then correspond to more intensive use of capital and through diminishing product lower real wages for this reason evidence by dunlop 1938 and tarshis 1939 that real wages move procyclically was viewed as paradoxical both dunlop and tarshis based their findings on an observed positive correlation between real and money wages which given the procyclical movement of money wages implies a positive correlation between

bias in federal reserve inflation forecasts is the federal reserve irrational or just cautious abstract inflation forecasts of the federal reserve seem to have systematically under predicted inflation from the fourth quarter of 1968 until volcker s appointment as chairman and to systematically over predict it afterwards until the second quarter of 1998 furthermore under quadratic loss commercial forecasts seem to have information not contained in those forecasts to investigate the cause of this apparent irrationality this paper recovers the loss function implied by federal reserve s inflation forecasts the results suggest that the cost of having inflation above an implicit time varying target was larger than the cost of having inflation below it for the period since volcker and that the opposite was true for the pre volcker era once these asymmetries are taken into account the federal reserve s inflation forecasts are found to be rational

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

the dynamics of inflation a study of a large number of countries over the last twenty years the statistical properties of inflation persistence has been the subject of intense investigation and debate without reaching a unanimous conclusion yet in this article we attempt to shed further light to this debate using a battery of econometric techniques in order to provide robust evidence on the degree of inflation persistence and whether this has changed during the period in which several countries have followed inflation targeting regimes or new monetary regimes we consider the inflation rates of thirty developed and emerging economies using quarterly data for the period 1958 to 2007 which include alternative monetary policy regimes the coefficient of the inflation parameter is estimated by ordinary least squares ols autoregressive moving average arma and autoregressive fractionally integrated moving average arfima models furthermore the grid bootstrap median unbiased mub estimator approach developed by hansen 1999 is used to estimate the finite sample ols

a rehabilitation of monetary policy in the 1950 s monetary policy in the united states in the 1950s was remarkably modern analysis of federal reserve records shows that policymakers had an overarching aversion to inflation and were willing to accept significant costs to prevent it from rising to even moderate levels this aversion to inflation was the result of policymakers beliefs that higher inflation could not raise output in the long run that the level of output that would trigger increases in inflation was only moderate and that inflation had large real costs in the medium and long runs furthermore both narrative and empirical analysis indicates that policymakers were not wedded to free reserves or other faulty indicators in their implementation of policy empirical estimates of a forward looking taylor rule show that policymakers in the 1950s raised nominal interest rates more than one for one with increases in expected inflation and suggests that monetary policy in the 1950s was more similar to policy in the 1980s and 1990s than to that in the late 1960s and 1970s one implication of these findings is that the inflation of the late 1960s and 1970s must have been the result of a change in the conduct of policy this abstract was borrowed from another version of this item

evaluating density forecasts with applications to financial risk management density forecasting is increasingly more important and commonplace for example in financial risk management yet little attention has been given to the evaluation of density forecasts the authors develop a simple and operational framework for density forecast evaluation they illustrate the framework with a detailed application to density forecasting of asset returns in environments with time varying volatility finally the authors discuss several extensions copyright 1998 by economics department of the university of pennsylvania and the osaka university institute of social and economic research association

are the representative agent s beliefs based on efficient econometric models abstract no they are not at least not in the uk by examining gdp dynamics we find that over a time span of two decades an easy to perform adaptive expectations model systematically outperforms other standard predictors in terms of squared forecasting errors this should reduce model uncertainty and thereby lead to increased homogeneity in expectations however data collected in surveys show that great variety in expectations persists even in this situation moreover granger tests indicate that the forecasting fitness of the best predictor can be further enhanced by the use of information provided by survey expectations these results based on real time data and robust to both several predictors and nonlinearities weaken the general validity of approaches assuming predictions based on efficient econometric models

markov switching models with evolving regime specific parameters are postwar booms or recessions all alike abstract in this paper we relax the assumption of constant regime specific mean growth rates in hamilton s 1989 two state markov switching model of the business cycle we introduce a random walk hierarchy prior for each regime specific mean growth rate and impose a cointegrating relationship between the mean growth rates in recessionary and expansionary periods by applying the proposed model to postwar u s real gdp growth 1947 q4 2011 q3 we uncover the evolving nature of the regime specific mean growth rates of real output in the u s business cycle additional features of the postwar u s business cycle that we uncover include a steady decline in the long run mean growth rate of real output over the postwar sample and an asymmetric error correction mechanism when the economy deviates from its long run equilibrium

assessing the impact of management buyouts on economic efficiency plant level evidence from the united kingdom we assess the total factor productivity of 35 752 manufacturing establishments before and after management buyouts mbos mbo plants are less productive than comparable plants before the transfer of ownership they experience a substantial increase in productivity after a buyout which appears to be due to measures undertaken by new owners to reduce the labor intensity of production via outsourcing of intermediate goods and materials these findings which are pervasive across industries imply that mbos reduce agency costs and enhance economic efficiency our evidence is consistent with jovanovic and rousseau 2002 who suggest that ownership changes shift resources to more efficient uses and to better managers

stochastic volatility in a macro finance model of the u s term structure of interest rates 1961 2004 this paper generalizes the standard homoscedastic macro finance model by allowing for stochastic volatility using the square root specification of the mainstream finance literature empirically this specification dominates the standard model because it is consistent with the square root volatility found in macroeconomic time series thus it establishes an important connection between the stochastic volatility of the mainstream finance model and macro economic volatility of the okun friedman type this research opens the way to a richer specification of both macro economic and term structure models incorporating the best features of both macro finance and mainstream finance models

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

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 less volatile u s economy a bayesian investigation of timing breadth and potential explanations using a bayesian model comparison strategy we search for a volatility reduction in u s real gross domestic product gdp growth within the postwar sample we find that aggregate real gdp growth has been less volatile since the early 1980s and that this volatility reduction is concentrated in the cyclical component of real gdp sales and production growth in many of the components of real gdp display similar reductions in volatility suggesting the aggregate volatility reduction does not have a narrow source we also document structural breaks in inflation dynamics that occurred over a similar time frame as the gdp volatility reduction

structural evolution of the postwar u s economy we consider a time varying parameter vector autoregressive model with stochastic volatility and mixture innovations to study the empirical relevance of the lucas critique for the postwar u s economy the model allows blocks of parameters to change at endogenously estimated points of time contrary to the lucas critique there are large changes at certain points of time in the parameters associated with monetary policy that do not correspond to changes in reduced form parameters for inflation or the unemployment rate however the structure of the u s economy has evolved considerably over the postwar period with an apparent reduction in the late 1980s in the impact of monetary policy shocks on inflation though not on the unemployment rate related we find changes in the phillips curve tradeoff between inflation and cyclical unemployment measured as the deviation from the time varying steady state unemployment rate implied by the model in the 1970s and especially since the mid 1990s

downward wage rigidity in a model of equal treatment contracting following insights by bewley 1999a this paper analyses a model with downward rigidities in which firms cannot pay discriminately based on year of entry to the firm and develops an equilibrium model of wages and unemployment we solve for the dynamics of wages and unemployment under conditions of downward wage rigidity where forward looking firms take into account these constraints we show that there is a frontloading incentive that leads to a simple solution in the case of certainty using productivity data from the postwar us economy we analyse the ability of the model to match certain stylised labour market facts

dynamic discrete mixtures for high frequency prices the tick structure of the financial markets entails discreteness of stock price changes based on this empirical evidence we develop a multivariate model for discrete price changes featuring a mec

modeling structural breaks in economic relationships using large shocks abstract this paper introduces a new model of structural breaks in the coefficients of economic relationships which allows them to be driven by large past economic shocks the breaks generated by these shocks can be taken to reflect stochastic changes in agents decisions or beliefs triggered by extraordinary economic events our model specifies that both the timing and size of breaks are stochastic the last property of it enables us to investigate qualitative effects that large shocks can have on economic relationships as an empirical application of our model the paper investigates the stability the oil economy relationship since the early sixties from the six large oil shocks identified by our data the paper shows that only the first oil shock at the end of 1973 has caused a major long term adverse effect on economic activity all the large oil price shocks that have happened since then did not have any significant negative effects on the slope of the oil economy relationship

on the evolution of the monetary policy transmission mechanism this paper investigates whether the monetary transmission mechanism has changed or whether apparent changes are due to changes in the volatility of exogenous shocks also the question of whether any changes have been gradual or abrupt is considered a mixture innovation model is used which extends the class of time varying vector autoregressive models with stochastic volatility the advantage of our extension is that it allows us to estimate whether where when and how parameter change is occurring our empirical results indicate that the transmission mechanism the volatility of exogenous shocks and the correlations between exogenous shocks are all changing

macroeconomic factors strike back a bayesian change point model of time varying risk exposures and premia in the u s cross section this article proposes a bayesian estimation framework for a typical multi factor model with time varying risk exposures to macroeconomic risk factors and corresponding premia to price u s publicly traded assets the model assumes that risk exposures and idiosyncratic volatility follow a break point latent process allowing for changes at any point on time but not restricting them to change at all points the empirical application to 40 years of u s data and 23 portfolios shows that the approach yields sensible results compared to previous two step methods based on naive recursive estimation schemes as well as a set of alternative model restrictions a variance decomposition test shows that although most of the predictable variation comes from the market risk premium a number of additional macroeconomic risks including real output and inflation shocks are significantly priced in the cross section a bayes factor analysis massively favors the proposed change point model supplementary materials for th

multivariate density forecast evaluation and calibration in financial risk management high frequency returns on foreign exchange we provide a framework for evaluating and improving multivariate density forecasts among other things the multivariate framework lets us evaluate the adequacy of density forecasts involving cross variable interactions such as time varying conditional correlations we also provide conditions under which a technique of density forecast calibration can be used to improve deficient density forecasts and we show how the calibration method can be used to generate good density forecasts from econometric models even when the conditional density is unknown finally motivated by recent advances in financial risk management we provide a detailed application to multivariate high frequency exchange rate density forecasts

the effect of foreign acquisition on employment and wages evidence from finnish establishments employee characteristics by skill groups makes it possible to disentangle the effect of foreign ownership on wages from its effects on the quality of the workforce furthermore this information allows us to examine the heterogeneity of the effect of foreign acquisition on wages and employment third the long timespan of our data thirteen years enables us to consider the effects of foreign acquisition in the long run hiring and firing costs may delay the effects of foreign acquisition by looking at the effects of acquisition in several periods after it has taken place these delays can be taken into account we believe finland to be an interesting case study for the effects of foreign ownership it is a typical example of a small open economy where foreign investment plays an important role furthermore our data cover the years 1988 2001 when the share of foreign direct investments rose rapidly in finland this increase is depicted in figure 1 and it partly reflects the worldwide trend in foreign direct investment but the years 1988 2001 were also characterized by two phenomena which undoubtedly led to the increase in the share of foreign owned firms first finland experienced a very severe recession in the early 1990s and the recovery from this crisis was associated with a rapid restructuring of the economy and a growth of new industries in particular the export oriented high tech sector 2 second finland joined the european union in 1995 which naturally removed a considerable number of barriers to foreign investment in the finnish economy the results derived by both matching and regression methods indicate that foreign acquisition has a positive effect on wages in all skill groups this wage increase is not immediate but occurs within one to three years after the acquisition the magnitude of this effect increases with the level of schooling of the workers the results indicate that there is a small decrease in the share of highly educated workers after foreign acquisition the decrease in the share of highly educated workers after acquisition also seems to hold for domestic acquisitions the paper is organized as follows the next section briefly describes the theoretical background for the analysis and reviews some previous empirical findings the third section describes the statistical framework and the fourth section presents the data sets the results are provided in the fifth section the last section concludes the paper

evolving post world war ii u k economic performance in this paper we use tests for multiple structural breaks at unknown points in the sample and band pass filtering techniques to investigate changes in u k economic performance since the end of world war ii empirical evidence suggests that the most recent decade associated with the introduction of an inflation targeting regime has been significantly more stable than the previous post wwii era both for real gdp growth and for three measures of inflation we identify break dates around the time of the introduction of inflation targeting in october 1992 for all four series the estimated innovation variance over the most recent sub period is the lowest of the post wwii era the volatility of the band pass filtered macroeconomic indicators we consider is after 1992 almost always lower than either during the bretton woods regime or over the 1971 92 period often like in the case of inflation and real gdp markedly so the phillips correlation appears to have undergone significant changes over the last 50 years from being unstable in the 1970s to slowly stabilising from the beginning of the 1980s onwards after 1992 the correlation exhibits by far the greatest extent of stability of the post wwii era

conditional markov chain and its application in economic time series analysis motivated by the great moderation in major u s macroeconomic time series we formulate the regime switching problem through a conditional markov chain we model the long run volatility change as a recurrent structure change while short run changes in the mean growth rate as regime switches both structure and regime are unobserved the structure is assumed to be markovian conditioning on the structure the regime is also markovian whose transition matrix is structure dependent this formulation imposes interpretable restrictions on the hamilton markov switching model empirical studies show that this restricted model well identifies both short run regime switches and long run structure changes in the u s macroeconomic data

an empirical test of pricing kernel monotonicity summary a large class of asset pricing models predicts that securities which have high payoffs when market returns are low tend to be more valuable than those with high payoffs when market returns are high more generally we expect the projection of the stochastic discount factor on the market portfolio that is the discounted pricing kernel evaluated at the market portfolio to be a monotonically decreasing function of the market portfolio numerous recent empirical studies appear to contradict this prediction the non monotonicity of empirical pricing kernel estimates has become known as the pricing kernel puzzle in this paper we propose and apply a formal statistical test of pricing kernel monotonicity we apply the test using 17 years of data from the market for european put and call options written on the s p 500 index statistically significant violations of pricing kernel monotonicity occur in a substantial proportion of months suggesting that observed non monotonicities are unlikely to be the product of statistical noise copyright 2014 john wiley sons ltd

aggregate infrastructure capital stock and long run growth evidence from finnish data abstract in this paper bayesian methods and the finnish aggregate infrastructure capital series from 1860 to 2003 are used to explore how government infrastructure policy affects long run output growth we use finnish data since to the best of our knowledge the finnish land and water construction investments series is the best available sufficiently long time series on aggregate infrastructure investments the finnish data provide strong and robust evidence indicating that permanent changes in government infrastructure policy have permanent effects on the growth rate of output

why not cut pay abstract i interviewed over 300 business people labor leaders business consultants and counselors of unemployed people all in the northeast of the united states during the recession of the early 1990 s in order to learn why wages and salaries declined in only a few firms employers were reluctant to cut pay because they believed doing so would hurt employee morale leading to lower productivity and current or future difficulties with hiring and retention it was thought that these effects would in the end cost more than the savings from lower pay there were few indications that unemployed people had excessive wage expectations on the contrary many unemployed were too flexible and found themselves rejected by firms as overqualified in most companies pay cuts were not a useful alternative to layoffs because pay cuts would not make it worthwhile to retain many employees and because layoffs harmed morale less than would pay cuts the findings support none of the theories of wage rigidity except those of solow and akerlof that emphasize morale

structural models and endogeneity in corporate finance the link between managerial ownership and corporate performance this paper presents a parsimonious structural model that isolates primary economic determinants of the level and dispersion of managerial ownership firm scale and performance and the empirical associations among them in particular variation across firms and through time of estimated productivity parameters for physical assets and managerial input and corresponding variation in optimal compensation contract and firm size combine to deliver the well known hump shaped relation between tobin s q and managerial ownership to assess the effectiveness of standard econometric approaches to the endogeneity problem we apply those remedies to panel data generated from the model the unfortunate conclusion is that at least in the ownership performance context proxy variables fixed effects and instrumental variables do not generally provide reliable solutions to simultaneity bias

foreign acquisition plant survival and employment growth this paper analyses the effect of foreign acquisition on survival probability and employment growth of target plant using data on swedish manufacturing plants during the period 1993 2002 an improvement over previous studies is that we take into account firm level heterogeneity by separating the targeted plants into those within swedish mnes swedish exporting non mnes and purely domestic firms before foreign takeover the results controlling for possible endogeneity of the acquisition dummy using an iv and propensity score matching approach suggest that acquisition by foreign owners increases the lifetime of the acquired plants only if the plant was an exporter the effect differs depending on whether the acquisition is horizontal or vertical we also find robust positive employment growth effects only for exporters and only if the takeover is vertical not horizontal

production growth and business cycles ii new directions abstract this paper outlines new directions for investigations of real business cycle models consideration of stochastic growth of exogenous and endogenous forms analysis of suboptimal outcomes arising due to externalities of distorting taxes and implications of labor market heterogeneity

testing for time variation in an unobserved components model for the u s economy abstract this paper analyzes the amount of time variation in the parameters of a reduced form empirical macroeconomic model for the u s economy we decompose output inflation and unemployment in their stochastic trend and business cycle gap components with the latter linked through the phillips curve and okun s law a novel bayesian model selection procedure is used to test which parameters vary over time and which components exhibit stochastic volatility using data from 1959q2 to 2014q3 we find substantial time variation in okun s law while the phillips curve slope appears to be stable stochastic volatility is found to be important for cyclical shocks to the economy while the volatility of permanent shocks remains stable

the start of interest rate smoothing in the us is it a monetary or fiscal story this article revisits the key issue raised by researchers who have empirically investigated the behaviour of short term us interest rates during the period 1890 1933 the seminal article of mankiw miron and weil 1987 argues that changes in the behaviour of nominal interest rates is best explained as a monetary regime shift that occurred with the founding of the federal reserve in 1914 this explanation is rejected by newbold lehybourne sollis and wohar 2001 who show that fiscal and regulatory changes driven by the needs of world war1 financing best explain the changing behaviour of interest rates that they identify as beginning in mid 1917 we find using three different statistical procedures that a structural break in the second moment of interest rates occurred in early 1915 this supports the monetary regime shift argument of mmw by illustrating that the interest rate smoothing policies of the fed can be observed as a variance break in short term interest rates

a nonlinear forecasting model of gdp growth we develop a model of gdp growth under which regime changes are triggered stochastically by an observable tension index constructed as the geometric sum of deviations of actual gdp growth from a corresponding sustainable rate within expansionary regimes the tension index tends to increase which heightens the probability of a regime change given a regime change the process becomes reversed and the tension index begins to decline along a newly established path linking the behavior of the tension index to gdp growth enables us to capture floor and ceiling effects

cross border mergers and acquisitions and the role of trade costs abstract cross border mergers and acquisitions m as have increased dramatically over the last two decades this paper analyses the role of trade costs in explaining the increase in the number of cross border m as in particular we distinguish horizontal and non horizontal m as and investigate whether trade costs affect these two types of mergers differently we analyse this question using industry data for 23 oecd countries for the period 1990 2001 our findings suggest that while in the aggregate trade costs affect cross border merger activity negatively its impact differs importantly across horizontal and non horizontal mergers the impact of trade costs is less negative for horizontal mergers which is consistent with the tariff jumping argument

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

the early millennium slowdown replicating the peersman 2005 results summary this paper undertakes both a narrow and wide replication of the constant coefficients vector autoregression var identified with sign restrictions considered by peersman journal of applied econometrics 2005 20 2 185 207 his results for the us are robust to an increase in the sample period from 2002 q2 to 2014 q2 but the extension to time varying parameters highlights the importance of testing the robustness of results against time variation in particular there are differences across models regarding the role of individual shocks during the 2001 us slowdown copyright 2015 john wiley sons ltd

wage rigidity in canadian collective bargaining agreements the authors search information on the provisions of 10 947 wage contracts signed in the canadian unionized sector between 1976 and 1999 for evidence of downward nominal wage rigidity the disinclination of wages to fall in nominal dollars below their established level over the sample period real wage reductions were common but nominal wage reductions were rare the probability of downward nominal wage rigidity increased substantially during low inflation periods during such periods apparently there was no reduction in the incidence of real wage cuts but the magnitude of those cuts was modest suggesting a lesser ability of wages to adjust to labor market conditions than at other times

cyclicality of real wages among young men abstract this paper analyzes the cyclical behavior of real wages received by the young men in the national longitudinal surveys of labor market experience it extends the studies by bils journal of political economy 1985 93 666 689 and tremblay quarterly review of economics and business 1990 30 90 101 by using the full duration of the survey and by examining differences in wage cyclicality across industries and between workers that change employers and those that stay with the same employer

why were changes in the federal funds rate smaller in the 1990s we identify two major changes in the dynamics of the federal funds rate in the 1990s we model the desired rate in a two regime setting one when the fed makes no change and the other when the fed is moving the desired rate to a new level we find that the 1990s saw a longer duration in the no change regime as well as smaller changes in the other regime the smaller changes were neither due to a less aggressive fed nor due to lower volatility of the fundamentals in fact the fed responded more aggressively to changes in fundamentals in the 1990s copyright 2004 john wiley sons ltd

the effect of implicit contracts on the movement of wages over the business cycle evidence from micro data in this paper we address the question of whether wages are affected by labor market conditions in a manner more consistent with a contract approach than with a standard spot market model from a simple implicit contract model we derive implications about the links between wages and past labor market conditions using individual data from the current population survey and the panel study of income dynamics we find that an implicit contract model with costless mobility describes these links better than either a simple spot market model or an implicit contract model with costly mobility

the persistence of inflation in the united states abstract has the persistence of inflation in the united states changed since 1965 we estimate the persistence of inflation over time using different measures and estimation procedures and we produce confidence intervals for our estimates as well as formal tests of unchanged persistence we find that inflation persistence has been high and approximately unchanged in the u s over our sample period we reconcile our results with other studies that reached different conclusions

new firm survival new results using a hazard function a limitation of audretsch s 1991 study of new firm survival was the level of aggregation to industries this precluded linking establishment specific characteristics such as organizational structure and size to post entry performance the purpose of this paper is to relate the post entry performance of individual establishments not only to their technological and market structure environments but also to establishment specific characteristics we do this by estimating a hazard duration function for more than 12 000 individual establishments in u s manufacturing started in 1976 by tracking their subsequent performance over a ten year period we conclude that establishment specific characteristics which audretsch was not able to capture in his earlier study play an important role in shaping the exposure to risk confronting new establishments copyright 1995 by mit press

has production management improved since 1984 kim and nelson 1999 and others have recently presented evidence of a dramatic decline in the volatility of real gross domestic product gdp when the data are plotted the break date is easily identified as 1984 kim and nelson conclude that the enhanced stability is broadly based but statistical analysis by mcconnell and perez quiros 2000 hereafter mpq points to reductions in inventory volatility in the durables sector as the source of the newfound stability although inventory investment is a very small component of gdp changes in inventory investment are one of the most volatile components of changes in gdp ramey and west 1999 calculate that declines in inventory investment typically account for 49 of reductions in u s gdp during recessions inventories in the durables sector are substantially more volatile than in the nondurables sector and thus inventory investment in this sector is more likely to contribute to macroeconomic instability the 1984 break date is intriguing because it coincides with the rising popularity of new production management techniques such as just in time jit 1 hall 1983 describes jit as an emphasis on producing exactly what is needed and conveying it to where it is needed precisely when required he cites several components to the successful implementation of jit but one of the major components is flexible production implying rapid response and the ability to profitably produce only what is immediately required in this ideal environment no unfilled orders or finished goods are accumulated and whatever raw materials and work in process must be accumulated are quickly processed more generally the more flexible and well coordinated the production process the more quickly output can respond to a demand shock 2 the questions addressed here are as follows 1 is there evidence of structural change in output 2 did the structural change if any occur around 1984 3 did output track demand more closely following the structural change the answers to all three questions must be yes to support the contention that improved production management is responsible for the stabilization of gdp the analysis is carried out at the industry level to identify those industries that satisfy the criteria the quality of production management is measured as the difference between the log of output and the log of new orders both measured monthly new orders represent demand and are equivalent to sales among firms that hold no unfilled orders if the firm achieves the ideal efficiency then output is identical to demand more generally efficiency is reflected in the time required for the firm to return inventories and unfilled orders to their target values following a shock to demand or output an increase in efficiency implies a more rapid output response to demand shocks so that any differences between output and demand are resolved more rapidly structural change is identified with tests for structural change with unknown break dates developed by andrews 1993 and andrews and ploberger 1994 following herrera and pesavento s 2004 industry level analysis the tests allow for multiple breaks their tests for stability are conducted on univariate autoregressive models of sales and inventories by stages of fabrication here the growth rate of output or the difference between the log of output and the log of new orders is the dependent variable allowing for a direct observation of structural change in the variable of interest in addition the models are richer in that variables such as new orders and raw materials are included on the right hand side to determine the sensitivity of the break date to potential sources of any change in output behavior several studies in addition to herrera and pesavento s 2004 have examined industry level data for evidence of structural change that might indicate improvements in production management

optimal binary prediction for group decision making we address the problem of optimally forecasting a binary variable for a heterogeneous group of decision makers facing various binary decision problems that are tied together only by the unknown outcome a typical example is a weather forecaster who needs to estimate the probability of rain tomorrow and then report it to the public given a conditional probability model for the outcome of interest e g logit or probit we introduce the idea of maximum welfare estimation and derive conditions under which traditional estimators such as maximum likelihood or nonlinear least squares are asymptotically socially optimal even when the underlying model is misspecified

insider bargaining power starting wages and involuntary unemployment recent analyses of wage bargaining has emphasized the distinction between insiders and outsiders yet one typically assumes that insiders and recently hired outsiders are paid the same wage we con

the lucas critique and the stability of empirical models this paper re considers the empirical relevance of the lucas critique using a dsge sticky price model in which a weak central bank response to inflation generates equilibrium indeterminacy the model is calibrated on the magnitude of the historical shift in the federal reserve s policy rule and is capable of generating the decline in the volatility of inflation and real activity observed in u s data using monte carlo simulations and a backward looking model of aggregate supply and demand we show that shifts in the policy rule induce breaks in both the reduced form coefficients and the reduced form error variances the statistics of popular parameter stability tests are shown to have low power if such heteroskedasticity is neglected in contrast when the instability of the reduced form error variances is accounted for the lucas critique is found to be empirically relevant for both artificial and actual data

transitory variation in investment and output abstract although the permanent income model is a cornerstone of macreoconomics the evidence for its assumption that output has a transitory component is mixed this paper documents transitory variation in gnp the story centers on the variation in investment relative to consumption consumption behaves like a random walk in the long term investment moves one for one with consumption in the near term however investment takes strong transitory swings away from the random walk it shares with consumption these surges in investment relative to consumption are not offset by government expenditures transitory variation in investment thus becomes transitory variation in gnp

bridging the gap between the distribution of realized ecu volatility and arch modelling of the euro the garch nig model summary this paper bridges the gap between traditional arch modelling and recent advances on realized volatilities based on a ten year sample of five minute returns for the ecu basket currencies versus the us dollar we find that the realized volatilities constructed from the summation of the high frequency intraday squared returns conditional on the lagged squared daily returns are approximately inverse gaussian ig distributed while the distribution of the daily returns standardized by their realized volatilities is approximately normal moreover the implied daily garch model with normal inverse gaussian nig errors estimated for the ecu returns results in very accurate out of sample predictions for the three years of actual daily euro us dollar exchange rates copyright 2002 john wiley sons ltd

estimation and testing of forecast rationality under flexible loss in situations where a sequence of forecasts is observed a common strategy is to examine rationality conditional on a given loss function we examine this from a different perspective supposing that we have a family of loss functions indexed by unknown shape parameters then given the forecasts can we back out the loss function parameters consistent with the forecasts being rational even when we do not observe the underlying forecasting model we establish identification of the parameters of a general class of loss functions that nest popular loss functions as special cases and provide estimation methods and asymptotic distributional results for these parameters this allows us to construct new tests of forecast rationality that allow for asymmetric loss the methods are applied in an empirical analysis of imf and oecd forecasts of budget deficits for the g7 countries we find that allowing for asymmetric loss can significantly change the outcome of empirical tests of forecast rationality