capital utilization and capital accumulation theory and evidence a firm may acquire additional capital input by purchasing new capital or by increasing the utilization of its current capital the margin between capital accumulation and capital utilization is studied in a model of dynamic factor demand where the firm chooses capital labour and their rates of utilization a direct measure of capital utilization the work week of capital is incorporated into the theory and estimates the estimates imply that capital stock is costly to adjust while the work week of capital is essentially costless to adjust the estimated response of the capital stock to changes in its price and in the required rate of return is more rapid than found in other estimates

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

answering the skeptics yes standard volatility models do provide accurate forecasts a voluminous literature has emerged for modeling the temporal dependencies in financial market volatility using arch and stochastic volatility models while most of these studies have documented highly significant in sample parameter estimates and pronounced intertemporal volatility persistence traditional ex post forecast evaluation criteria suggest that the models provide seemingly poor volatility forecasts contrary to this contention we show that volatility models produce strikingly accurate interdaily forecasts for the latent volatility factor that would be of interest in most financial applications new methods for improved ex post interdaily volatility measurements based on high frequency intradaily data are also discussed

on the utilisation controversy a theoretical and empirical discussion of the kaleckian model of growth and distribution this paper examines the utilisation controversy around the kaleckian model of growth and distribution we show that the federal reserve data on capacity utilisation which have been used by both sides of this debate are the wrong kind of data for the issue under examination instead a more appropriate measurement can be derived from the data on the average workweek of capital we argue that the long run dynamic adjustment proposed by kaleckian scholars lacks a coherent economic rationale we provide an alternative path towards the endogeneity of the desired utilisation at the micro and macro levels finally we examine the proposed adjustment mechanism econometrically our results verify the endogeneity of the normal utilisation rate

the economic consequences of productivity changes a computable general equilibrium cge analysis cutler h and davies s the economic consequences of productivity changes a computable general equilibrium cge analysis regional studies this paper uses a data intensive cge model to examine sector specific impacts of increases in total factor productivity and labour and capital productivity it focuses on the importance of a sector s output in household consumption and firms intermediate input demand the importance of labour and capital in value added and the impact on the city s consumer price index cpi as factors influencing the transmission mechanism the general equilibrium effects result in unambiguous increases in household migration for total factor productivity and capital productivity but not for the labour case this analysis emphasizes the impact on household income and tax revenue per new household cutler h et davies s les consequences economiques des changements de productivite une analyse egc regional studies cet article utilise un modele d equilibre general calculable egc

procyclical labor productivity and competing theories of the business cycle some evidence from interwar u s manufacturing industries we study the phenomenon of short run increasing returns to labor srirl in a sample of 10 interwar u s manufacturing industries our main findings are that srirl was common in the interwar period and that the pattern of srirl across industries was similar to that observed in the postwar period we argue that since presumably the depression was not caused by technical regress these findings are inconsistent with the claim of real business cycle theorists that srirl is in general due to procyclical technical shocks we propose tests for discriminating between two other leading explanations of srirl but find that our conclusions differ by industry

volatility forecasting with range based egarch models we provide a simple yet highly effective framework for forecasting return volatility by combining exponential generalized autoregressive conditional heteroscedasticity models with data on the range using standard and poor s 500 index data for 1983 2004 we demonstrate the importance of a long memory specification based on either a two factor structure or fractional integration that allows for some asymmetry between market returns and volatility innovations out of sample forecasts reinforce the value of both this specification and the use of range data in the estimation we find substantial forecastability of volatility as far as 1 year from the end of the estimation period contradicting the return based conclusions of west and cho and of christoffersen and diebold that predicting volatility is possible only for short horizons

bayesian analysis of structural credit risk models with microstructure noises in this paper a markov chain monte carlo mcmc technique is developed for the bayesian analysis of structural credit risk models with microstructure noises the technique is based on the general bayesian approach with posterior computations performed by gibbs sampling simulations from the markov chain whose stationary distribution converges to the posterior distribution enable exact finite sample inferences of model parameters the exact inferences can easily be extended to latent state variables and any nonlinear transformation of state variables and parameters facilitating practical credit risk applications in addition the comparison of alternative models can be based on deviance information criterion dic which is straightforwardly obtained from the mcmc output the method is implemented on the basic structural credit risk model with pure microstructure noises and some more general specifications using daily equity data from us and emerging markets we find empirical evidence that microstructure noises are positively correlated with the firm values in emerging markets

total factor productivity and the measurement of technological change tfp is interpreted in the literature in different mutually contradictory ways changes in tfp are shown to measure not technological change only the super normal returns to investing in such change returns that exceed the full opportunity cost of the activity thus in the limit technological change can proceed with unchanged tfp measuring the effects of technological change instead requires counterfactual estimates reasons why changes in tfp are imperfect measures of super normal returns are also studied reasons connected with the timing of output responses the treatment of r d in the national accounts the omission of resource inputs and two types of aggregation la productivite totale des facteurs et la mesure du changement technologique la productivite totale des facteurs ptf est interpretee dans la litterature de manieres differentes et mutuellement contradictoires on montre que les changements dans la ptf ne mesurent pas le changement technologique mais seulement les rendements supra normaux sur les investissements dans de tels changements des rendements qui depassent le plein cout d opportunite de cette activite donc a la limite le changement technologique peut proceder sans que la ptf change mesurer les effets du changement technique reclame des evaluations d hypotheses de rechange les raisons pour lesquelles les changements dans la ptf sont des mesures imparfaites des rendements supra normaux sont aussi etudiees raisons connectees avec la reponse des niveaux de production le traitement de la r d dans les comptes nationaux l omission des intrants de ressources et deux types d agregation

comparative productivity the ussr eastern europe and the west this paper compiles comparative measures of output per worker in 1975 in four socialist and seven western market economy wme countries and explores sources of observed differences between the two groups of countries in that regard such differences seem explicable only partially by reference to differences in per worker capital stock and farm land a residual disparity of 25 to 34 percent in favor of wme countries appears to testify to superior efficiency in the latter copyright 1987 by american economic association

credit risk and asymmetric information a simplified approach abstract we present a simple model for risky corporate debt debtholders and equityholders have incomplete information about the financial state of the debt issuing company information is incomplete because it is delayed for all agents and it is asymmetrically distributed between debtholders and equityholders we solve for the equityholders optimal default policy and for the credit spreads required by debtholders delayed information accelerates the equityholders optimal decision to default interestingly this effect is small implying only a small impact on credit spreads asymmetric information however has a major impact on credit spreads our model predicts high credit spreads for short term debt as observed empirically in credit markets

cyclical productivity and the workweek of capital standard specifications of the production function assume that an increase in labor given the stock of physical capital will reduce the capital labor ratio since the stock of physical capital is quasi fixed the elasticity of output with respect to labor should be less than 1 as long as there are constant returns to scale however empirical studies of productivity typically find short run increasing returns to labor but the effective stock of capital should not be regarded as fixed if when labor increases it goes onto a previously inoperative shift labor that works the late shift will have at least as much capital as labor working days hence for increases in labor that are accompanied by increases in the workweek of capital there is no presumption of diminishing marginal product of labor this paper describes briefly a data set that provides a direct measure of the workweek of capital and then investigates its role in cyclical productivity it finds that much of the apparent cyclicality of total factor productivity is accounted for by variation in the workweek of capital

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

the cyclical behavior of the price cost markup countercyclical markups constitute the key transmission mechanism for monetary and other demand shocks in new keynesian models this paper tests the foundation of those models by studying the cyclical properties of the markup of price over marginal cost the first part of the paper studies markups in the aggregate economy and the manufacturing sector we use bils s 1987 insights for converting average cost to marginal cost but do so with richer data we find that all measures of markups are either procyclical or acyclical moreover we show that monetary shocks lead markups to fall with output the second part of the paper merges input output information on shipments to the government with detailed industry data to study the effect of demand changes on industry level markups industry level markups are found to be acyclical in response to demand changes

roughing it up including jump components in the measurement modeling and forecasting of return volatility a rapidly growing literature has documented important improvements in financial return volatility measurement and forecasting via use of realized variation measures constructed from high frequency returns coupled with simple modeling procedures building on recent theoretical results in barndorff nielsen and shephard 2004a 2005 for related bi power variation measures the present paper provides a practical and robust framework for non parametrically measuring the jump component in asset return volatility in an application to the dm exchange rate the s p500 market index and the 30 year u s treasury bond yield we find that jumps are both highly prevalent and distinctly less persistent than the continuous sample path variation process moreover many jumps appear directly associated with specific macroeconomic news announcements separating jump from non jump movements in a simple but sophisticated volatility forecasting model we find that almost all of the predictability in daily weekly and monthly return volatilities comes from the non jump component our results thus set the stage for a number of interesting future econometric developments and important financial applications by separately modeling forecasting and pricing the continuous and jump components of the total return variation process

international sanctions as international punishment much of the contemporary literature on the utility of international sanctions approaches the apparent riddle of why sanctions are embraced so eagerly when they are supposedly such an ineffective tool of statecraft by focusing on the instrumental and rational purposes of sanctions as a result one purpose that does not always lend itself to a rational means end calculus the purpose of punishment tends to be overlooked or more commonly dismissed outright this article explores punishment as both a useful and an effective purpose of international sanctions it argues not only that sanctions should be distinguished from other forms of hurtful statecraft but also that they are a form of international punishment for wrongdoing despite the difficulties of applying the term punishment in the context of international relations the article then examines the purposes of punishment and reveals that only some are understandable when a model of means end rationality is used suggesting that the element of the nonrational also plays an important role in international sanctions the argument is then applied to the case of u s sanctions imposed after the soviet union s invasion of afghanistan to demonstrate the different purposes of punishment at work in this case the article concludes that just as we cannot understand punishment as a purposive human activity solely by reference to a rational model of a means to a clearly delineated end so too we cannot entirely understand sanctions as a form of international punishment by an attachment to a rational model of policy behavior however some forms of punishment are exceedingly effective and this may explain why sanctions continue to be a popular instrument of statecraft

cyclical productivity in europe and the united states evaluating the evidence on returns to scale and input utilization this paper studies procyclical productivity growth at the industry level in the united states and three european countries france germany and the netherlands industry specific demand side instruments are used to examine the prevalence of non constant returns to scale and unmeasured input utilization for the aggregate us economy unmeasured input utilization seems to explain procyclical productivity however this correction still leaves one in three us industries with procyclical productivity this failure of the model can also be seen in europe and is mostly concentrated in services industries

stock index realized volatility forecasting in the presence of heterogeneous leverage effects and long range dependence in the volatility of realized volatility in this article we account for the presence of heterogeneous leverage effects and the persistence in the volatility of stock index realized volatility the heterogeneous autoregressive har realized volatility rv model is extended in order to account for asymmetric responses to negative and positive shocks occurring at distinct frequencies as well as for the long range dependence in the heteroscedastic variance of the residuals compared with established har and autoregressive fractionally integrated moving average arfima realized volatility models the proposed model exhibits superior in sample fitting as well as out of sample volatility forecasting performance the latter is further improved when the realized power variation rpv is used as a regressor while we show that our analysis is also robust against microstructure noise

external effects in u s procyclical productivity abstract in this paper we highlight a new dimension of the aggregate procyclical productivity phenomenon we show that estimates of the degree of returns to scale are larger for manufacturing as a whole than for two digit industries since this difference must be due to factors that are only internalized at the most aggregate level we term it an external effect this result rules out explanations based on own input variation such as true increasing returns and unmeasured factor utilization tied to own activity as the sole explanations for aggregate procyclical productivity we explore several potential explanations of this external effect

quasi fixed inputs in u s and japanese manufacturing a generalized leontief restricted cost function approach in this paper a generalized leontief variable cost function is develope d which permits analytical derivation of steady state levels of quasi fixed inputs and capacity output and does not require specification of a numeraire input this framework is then used to evaluate the fa ctor demand patterns of japanese and u s manufacturing based on bot h one quasi fixed capital input and two quasi fixed capital and la bor input specifications and both static and dynamic optimization t he findings provide evidence of considerable flexibility of demand re sponses in japan which may have contributed to japan s relatively st rong economic performance in the volatile 1970s copyright 1988 by mit press

increasing returns and externalities in uk manufacturing myth or reality i apply the method of caballero and lyons to industry level data for uk manufacturing i find evidence for a positive external effect arising from the expansion of manufacturing as a whole but expansion at the sectoral level was found not to generate external effects nor was any evidence found for increasing returns which are internal to the industry here returns appear to be constant i argue that external effects at the level of aggregate manufacturing cannot be explained away as due to measurement error or cyclical effects however alternative explanations such as economy wide shocks cannot be totally excluded

explaining share price disparity with parameter uncertainty evidence from chinese a and h shares abstract the price disparity between the a and h share markets for dual listed firms in china is one of the most intriguing puzzles in the mainland and hong kong financial markets in this paper we revisit this price disparity puzzle using the channel of parameter uncertainty in the presence of information asymmetry and market segmentation investors have different views on a firm s asset volatility and hence different valuations of the same reference firm we estimate a structural model for equity pricing using a bayesian approach in which the uncertainty of investor model parameters is represented by the posterior standard deviation of the firm s asset volatility our regression analysis shows that in addition to other market based and macro factors parameter uncertainty explains variations in price disparity

the impact of economic sanctions in the 1990s the end of the cold war served as a strating point for a true proliferation in the use of economic sanctions as an instrument of foreign policy diplomacy is increasingly resorting to economic sanctions

simulation based estimation of contingent claims prices a new methodology is proposed to estimate theoretical prices of financial contingent claims whose values are dependent on some other underlying financial assets in the literature the preferred choice of estimator is usually maximum likelihood ml ml has strong asymptotic justification but is not necessarily the best method in finite samples this paper proposes a simulation based method when it is used in connection with ml it can improve the finite sample performance of the ml estimator while maintaining its good asymptotic properties the method is implemented and evaluated here in the black scholes option pricing model and in the vasicek bond and bond option pricing model it is especially favored when the bias in ml is large due to strong persistence in the data or strong nonlinearity in pricing functions monte carlo studies show that the proposed procedures achieve bias reductions over ml estimation in pricing contingent claims when ml is biased the bias reductions are sometimes accompanied by reductions in variance empirical applications to u s treasury bills highlight the differences between thebondpricesimpliedbythesimulation basedapproachandthosedeliveredbyml some consequences for the statistical testing of contingent claim pricing models are discussed jel c11 c15 g12

a theoretical comparison between integrated and realized volatility in this paper we provide both qualitative and quantitative measures of the precision of measuring integrated volatility by realized volatility for a fixed frequency of observation we start by characterizing for a general diffusion the difference between realized and integrated volatility for a given frequency of observation then we compute the mean and variance of this noise and the correlation between the noise and the integrated volatility in the eigenfunction stochastic volatility model of meddahi 2001a this model has as special cases log normal affine and garch diffusion models using previous empirical results we show that the noise is substantial compared with the unconditional mean and variance of integrated volatility even if one employs five minute returns we also propose a simple approach to capture the information about integrated volatility contained in the returns through the leverage effect we show that in practice the leverage effect does not matter copyright 2002 john wiley sons ltd

estimation of correlations in portfolio credit risk models based on noisy security prices portfolio credit risk models are very often constructed with correlation matrices serving as proxies for interrelations in the creditworthiness of each company in addition to the size of the matrix estimation of correlation is also complicated by the fact that defaults are rare and credit sensitive securities such as stocks bonds and credit default swaps cds are noisy therefore we present in this paper an estimation approach based on credit sensitive instruments that accounts for noise and is highly parallelizable the latter being a very important feature for large portfolios in finance a simulation study shows that the method is reliable and has better statistical properties when benchmarked against other correlation estimators in an empirical study based on the cds premiums and stock prices of 225 firms listed on the cdx north american indices we analyze the correlations computed using numerous approaches overall we find that ignoring noise severely underestimates correlations whereas equity correlation is poorly related to the best correlation estimates inferred from the cds market

inflexible prices and procyclical productivity hall has shown that with perfect competition and price flexibility total factor productivity measured using labor s share either in revenues or in costs will be acyclical regardless of the level of labor hoarding we show that if firms producing a homogeneous good under constant returns must pick their prices before demand is known both measures of productivity become procyclical the model implies that productivity should be more procyclical the more important is labor hoarding empirically productivity is more procyclical in industries and in nations where labor hoarding appears more important

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

available capital utilized capital and shadow prices in inclusive wealth accounting abstract previously accounting for comprehensive or inclusive wealth has focused on the supply side of capital assets however human well being created by capital assets inherently depends on the demand side as well in particular if capital is not utilized at its full capacity then realized or actual human well being may be less affected by available capital than by effective or utilized capital in principle this notion is embodied in a shadow price which is defined as the marginal contribution of capital assets to social well being the shadow price becomes higher if the underlying resource allocation mechanism improves in practice one can account for such underutilization by adjusting shadow prices to reflect only the utilized quantity of the capital in question furthermore capital utilization has different nuanced implications for produced human and natural capital and its implications even vary across some classes of natural capital within this line of theoretical thought we provide empirical estimates of the changes in inclusive wealth and sustainability of selected developing countries in recent years by comparing available and utilized capital assets we find that sustainability assessments may be revised based on utilized capital due to among others human capital underemployment and non renewable natural capital accessibility

scale effects time varying markups and the cyclical behaviour of primal and dual productivity this paper presents estimates of the degree of returns to scale using nonparametric measures of primal and dual productivity for 2 digit us manufacturing industries as part of the analysis the cyclical behaviour of primal and dual productivity measures are considered time varying markups are allowed for and the small sample properties of the instrumental variables estimator used to derive the estimates from the primal and dual relations examined both the primal and dual estimates indicate the existence of increasing returns to scale for the durable goods industries the simulation results indicate there is a slight tendency for the dual equation estimates to overestimate the degree of returns to scale however small sample bias appears to be most severe for the non durable goods industries

the generalized malmquist index and capacity utilization change an application to the italian manufacturing 1989 1994 several indices of plant capacity utilization based on the concept of best practice frontier have been proposed in the literature fare et al 1992 de borger and kerstens 1998 this paper suggests an alternative measure of capacity utilization change based on generalized malmquist index proposed by grifell tatje and lovell in 1998 the advantage of this specification is that it allows the measurement of productivity growth ignoring the nature of scale economies afterwards this index is used to measure capacity change of a panel of italian firms over the period 1989 94 using data envelopment analysis and then its abilities of explaining the short run movements of output are assessed

externalities and growth accounting this paper tackles two puzzles the high empirical elasticity of aggregte output with respect to the measured capital input and the seemingly high variability of growth rates over countries in the medium run we find that one need not invoke increasing returns or externalities to capital to explain these two puzzles rather they are consistent with a constant returns to scale aggregate production function so long as the exogenous solow residual process has enough persistence in it in our model causality runs exclusively from knowledge to capital and therefore the apparent absence of an external effect to the capital input says nothing about the importance of spillovers in the creation of knowledge copyright 1991 by american economic association

forecasting realized volatility a bayesian model averaging approach summary how to measure and model volatility is an important issue in finance recent research uses high frequency intraday data to construct ex post measures of daily volatility this paper uses a bayesian modelaveraging approach to forecast realized volatility candidate models include autoregressive and heterogeneous autoregressive specifications based on the logarithm of realized volatility realized power variation realized bipower variation a jump and an asymmetric term applied to equity and exchange rate volatility over several forecast horizons bayesian model averaging provides very competitive density forecasts and modest improvements in point forecasts compared to benchmark models we discuss the reasons for this including the importance of using realized power variation as a predictor bayesian model averaging provides further improvements to density forecasts when we move away from linear models and average over specifications that allow for garch effects in the innovations to log volatility copyright 2009 john wiley sons ltd

distinguishing characteristics of degrees of success and failure in economic sanctions episodes this paper uses 104 episodes from the hufbauer et al 1985 1990 dataset to examine the correlates of classes of outcomes of economic sanctions the parsimonious equations presented identify the characteristics of sanctions episodes conducive to success rather than marginal success and the characteristics productive of failure rather than marginal failure failure is most likely if there is significant third party assistance to the target and if the pre existing trade linkage between sender and target is small success is most easily achieved when the objective is not classified as modest and when pre sanction relations between sender and target are cordial or neutral the equations presented overcome data and methodological flaws of earlier studies exhibit reasonable predictive accuracy and satisfy a battery of tests of statistical significance hypothesized coefficient sign goodness of fit high likelihood and informational efficiency

when are sanctions effective a bargaining and enforcement framework although a considerable literature identifies the conditions under which sanctions are more likely to be successful few studies examine the question of when sanctioning states or senders are willing to enforce their sanctions laws against their firms using a game theoretic model we argue that imposing sanctions creates a strategic dilemma for senders we demonstrate that senders often have disincentives to enforce their sanctions policies given that the restriction on economic transactions with targeted states may undermine their firms competitiveness the model indicates that sanctions are more likely to succeed when the sender s firm retains a moderate share of the target s market relative to its foreign competitors however the model also demonstrates that sanctions are likely to be imposed only when the conditions do not favor their success the empirical implications of the model are tested using the threat and imposition of economic sanctions ties data set

a coupled markov chain approach to credit risk modeling we propose a markov chain model for credit rating changes we do not use any distributional assumptions on the asset values of the rated companies but directly model the rating transitions process the parameters of the model are estimated by a maximum likelihood approach using historical rating transitions and heuristic global optimization techniques we benchmark the model against a glmm model in the context of bond portfolio risk management the proposed model yields stronger dependencies and higher risks than the glmm model as a result the risk optimal portfolios are more conservative than the decisions resulting from the benchmark model

uncertainty and liquidity in corporate bond market abstractwe examine the uncertainty liquidity connection in the corporate bond market using monthly corporate bond data from 2005 to 2010 we construct proxies for parameter uncertainty by using firm level parameters generated from a structural model of corporate debt we find that uncertainty about firm parameters decreases trading volume but increases bid ask spreads and price bouncing in the cross section and across time in addition the panel var results show that parameter uncertainty has negative forecasting power for future bond liquidity with greater uncertainty in the current month leading to lower trading volume higher bid ask spreads and higher price fluctuations on subsequent months we conclude that parameter uncertainty is one of the underlying factors giving rise to the high level of illiquidity in the corporate bond market

estimating quadratic variation using realized variance this paper looks at some recent work on estimating quadratic variation using realised variance rv that is sums of m squared returns this econometrics has been motivated by the advent of the common availability of high frequency financial return data when the underlying process is a semimartingale we recall the fundamental result that rv is a consistent as m estimator of quadratic variation qv we express concern that without additional assumptions it seems difficult to give any measure of uncertainty of the rv in this context the position dramatically changes when we work with a rather general sv model which is a special case of the semimartingale model then qv is integrated variance and we can derive the asymptotic distribution of the rv and its rate of convergence these results do not require us to specify a model for either the drift or volatility functions although we have to impose some weak regularity assumptions we illustrate the use of the limit theory on some exchange rate data and some stock data we show that even with large values of m the rv is sometimes a quite noisy estimator of integrated variance

how does the border affect productivity evidence from american and canadian manufacturing industries abstract this study reports on how much productivity fluctuations are industry specific versus country specific for the manufacturing industries in canada and the united states the correlation between cross border pairings of the same industry are found to be more often highly correlated than previously thought furthermore the study confirms earlier findings that the similarity of input use can help describe the comovement of productivity fluctuations across industries

capital utilization economic growth and convergence abstract optimal decisions by economic agents regarding the utilization of capital lead to empirically plausible speeds of convergence in one sector models of economic growth the relationship between depreciation and capital utilization plays a crucial role in slowing down convergence to the steady state cross country differences in the extent to which the capital utilization decision is internalized along the transition path may lead to differences in convergence rates even for countries with similar initial and terminal conditions finally by assuming a constant depreciation rate and full capital utilization standard growth models may be overstating the magnitude of the steady state equilibrium

endogenous output in an aggregate model of the labor market a common feature to most aggregative studies of the labor market is a marginal productivity expression in which the quantity of labor appears on the left hand side of the equation and the right hand side includes the real wage and output a number of researchers have cautioned that if the output variable is treated as exogenous serious econometric difficulties may result however the assumption that output is exogenous has not been tested in this paper we estimate an equilibrium model of the labor market and use it to test the assumption of output exogeneity we find that the assumption that output is exogenous cannot be rejected by the data

inventories employment and hours abstract this paper develops a model that integrates inventory and labor decisions we extend a model of inventory behavior to include a detailed specification of the role of labor input in the production process distinguishing between employment hours and effort per worker we estimate jointly the euler equations for inventories and employment a labor compensation schedule and an hours requirement function with the cross equation restrictions imposed the econometric results shed light on several important topics including the shape of the marginal cost of output the role of labor hoarding as an explanation of pro cyclical productivity and the persistence of inventory stocks

forecasting the volatility of crude oil futures using intraday data abstract we use the information in intraday data to forecast the volatility of crude oil at a horizon of 1 66 days using a variety of models relying on the decomposition of realized variance in its positive or negative semivariances part and its continuous or discontinuous part jumps we show the importance of these decompositions in predictive in sample regressions using a number of specifications nevertheless an important empirical finding comes from an out of sample analysis which unambiguously shows the limited interest of considering these components overall our results indicates that a simple autoregressive specification mimicking long memory and using past realized variances as predictors does not perform significantly worse than more sophisticated models which include the various components of realized variance

stochastic trends deterministic trends and business cycle turning points this study examines the relationship between specifications for long run output patterns and specifications for business cycle dynamics in an application to us gdp it is found that inferences about the nature of the trend in output are not robust to changes in the specification for short run fluctuations similarly the choice of which model best describes the transitory movements in output depends on the way in which the trend is specified the empirical analysis makes use of bayesian methods to compare time series models for us gdp inspection of the predictive densities for the individual data points suggests that the information contained in the data is largely limited to the observations associated with business cycle turning points 1997 john wiley sons ltd

full bayesian inference for garch and egarch models a full bayesian analysis of garch and egarch models is proposed consisting of parameter estimation model selection and volatility prediction the bayesian paradigm is implemented via markov chain monte carlo methodologies we provide implementation details and illustrations using the general index of the athens stock exchange

rational expectations business cycles in search equilibrium we examine the rational expectations equilibrium paths of the model of search and barter in diamond s aggregate demand management in search equilibrium for some initial positions there are two equilibrium paths converging to different steady states with the high activity path pareto dominating the low activity path with some parameters there is also a continuum of equilibrium paths converging to another steady state moreover there can be cycles that are equilibrium paths even though the environment is stationary

dynamic factor demands under rational expectations we model the industrial demands for structures equipment and blue and white collar labor in a manner consistent with rational expectations and stochastic dynamic optimization in the presence of adjustment costs but allowing generality of functional form we represent the technology by a translog input requirement function that specifies the amount of blue collar labor needed to produce an output level given quantities of three quasi fixed factors nonproduction workers equipment and structures a complete description of the production structure is obtained by simultaneously estimating the input requirement function and three stochastic euler equations we find adjustment costs are small in total but large on the margin and differ considerably across factors

estimating the euler equation for aggregate investment with endogenous capital depreciation this article looks at the empirical consequences of introducing endogenous capital depreciation in the standard neoclassical model with quadratic adjustment costs to this end we formulate an empirical specification that accommodates capital maintenance and utilization in the euler equations for aggregate investment the empirical estimates with data from the canadian survey on capital and repair expenditures show that in contrast to the existing literature the performance of the euler equations is improved when we account for the impact of variable capital depreciation

production factor returns the role of factor utilization abstract short term increasing returns to production factors are usually found in empirical studies we argue they can be due to omitted variables particularly the intensity of factor utilization thanks to original french firm level data 1992 2008 we show how increasing returns to scale disappear when working time capacity utilization rate and particularly capital operating time are introduced in the production function

bayesian analysis of spatial panel autoregressive models with time varying endogenous spatial weight matrices common factors and random coefficients this article examines spatial panel autoregressive sar models with dynamic time varying endogenous spatial weights matrices common factors and random coefficients an empirical application is on the spillover effects of state medicaid spending endogeneity of spatial weights matrices comes from the correlation of economic distance and the disturbances in the sar equation common factors control for common shocks to all states and random coefficients may capture heterogeneity in responses the bayesian markov chain monte carlo mcmc estimation is developed identification of factors and factor loadings and model selection issues based upon the deviance information criterion dic are explored we find that a state s medicaid related spending is positively and significantly affected by those of its neighbors both welfare motivated move and yardstick competition are possible sources of strategic interactions among state governments welfare motivated move turns out to be more a driving force for th

the theory of international economic sanctions a public choice approach comment william kaempfer and anton lowenberg in this review september 1988 have developed an engaging model of the sanctions process grounded in public choice they identify potentially influential private forces that might affect the nature of a sanctions package while the spirit of their effort is laudable the model fails to incorporate some absolutely essential information about the legal institutional and strategic framework in which sanctions decisions are made as a consequence they reach a conclusion that flies in the face of existing facts contrary to what is suggested by kaempfer and lowenberg kl and contrary to the implications of their model the evidence clearly indicates there is an unequivocal bias against the use of import restrictions in favor of export controls the recent history of economic sanctions shows that only somewhat more than one third of sanction episodes involved both export and import controls further gary hufbauer and jeffrey schott 1985 observe that in instances where only one or the other is invoked export controls are almost always preferred to restrictions on imports 2 an almost exclusive reliance on export controls in economic foreign policy measures is particularly evident in the actions of the united states in the 1970s 3 the purpose of this comment is to explore the causes of this asymmetry there are at least three reasons why export controls have been favored over import controls reasons that play no part in the kl model first the general agreement on tariffs and trade gatt has institutionalized a bias against import barriers in favor of export controls second in the united states domestic legal constraints favor export controls and discourage import controls third as will be argued export controls are more easily reversed than import controls and reversibility is a desirable component in any foreign policy based trade intervention consider these points in turn in the 1946 1948 period during which time the gatt was first negotiated trade barriers were identified most often with those artificial impediments to trade that restrict foreign access to domestic markets especially tariffs for this reason gatt rules and actions have sought primarily to dismantle import barriers john jackson 1969 p 502 notes that despite the fact that extensive export controls do exist there has been only one complaint with respect to such controls reflected in gatt documents this is the czechoslovakian complaint against the united states in 1949 for the imposition of discriminatory export controls 4 jackson p 502 observes that there is very little if any effective gatt policing of export control policy and he comments later p 539 that insofar as any gatt obligations can be avoided without consequences this avoidance operates in effect as an exception this suggests that those foreign policy export controls that are pro department of economics university of arizona tucson az 85721 i thank alan deardorff bernard hoekman and robert stem for helpful discussions on work related to this note my thanks also to two anonymous referees for their constructive comments see p 28 and tables 4 1 4 5 pp 70 77 hufbauer and schott 1985 2ibid p 28 3see for example richard cooper 1987 pp 301 302 and p 305 and kenneth abbott 1981 p 741 4this is confirmed more recently by barry carter 1988 p 97 the only other event involving export restrictions challenged before the gatt was the u s embargo against nicaragua in 1985 which involved both import and export restrictions

sanctions in networks abstract in this paper we contribute to the sender target models of sanctions by explicitly incorporating the linkages social political or economic that bind the sender and target to other agents given any network model and architecture we draw attention to two factors that play a key role in determining the efficacy of sanctions in reducing the frequency of violations these are respectively strategic complementaritiesbetween the sanctioning action deleting link with target and number of direct links of the sender and the externalities imposed on the sender by third parties we examine the role played by these factors both in the short run when links can only be deleted and the long run when links can also be added as well as when sanctions are unilateral the sender can only delete own links or multilateral the sender can impose on common allies to sever links to the target our analysis allows an active role to the target to build an opposing coalition to deflect sanctions and to third parties to engage in sanction busting it also extends to multiple senders and targets existence of interest groups within sender and target with dissimilar objectives and signed networks allowing both antagonistic and cordial bilateral relationships

profiting from agglomeration evidence from the salmon aquaculture industry asche f roll k h and tveteras r profiting from agglomeration evidence from the salmon aquaculture industry regional studies even though most celebrated clusters seem to be in high cost areas many econometric studies represent agglomeration externalities as increased primal productivity or reduced cost while this certainly can be consistent with some observed agglomeration effects it may be insufficient for the growth of a cluster the key condition for this is that profitability is higher the paper tests for agglomeration effects using a profit function approach this may be particularly important for firms in high cost clusters where revenue effects can be as important as productivity and cost effects the paper tests for both intra and inter industry agglomeration externalities using firm level data

on the utilisation controversy a rejoinder and some comments the critique by gahn and gonzalez 2019 of the conclusions in nikiforos 2016 regarding what data should be used to evaluate whether capacity utilization is endogenous to demand is weak for the following reasons i the federal reserve board frb measure of utilization is not appropriate for measuring long run variations of utilization because of the method and purpose of its construction even if its difference from the measures of the average workweek of capital aww were trivial this would still be the case if anything it would show that the aww is also an inappropriate measure ii gahn and gonzalez choose to ignore the longest available estimate of the aww produced by foss which has a clear long run trend iii their econometric results are not robust to more suitable specifications of the unit root tests under these specifications the tests overwhelmingly fail to reject the unit root hypothesis iv other estimates of the aww which were not included in nikiforos 2016 confirm these conclusions v for the comparison between the aww series and the frb series they construct variables that are not meaningful because they subtract series in different units when the comparison is done correctly the results confirm that the difference between the aww series and the frb series has a unit root vi a stationary utilization rate is not consistent with any theory of the determination of capacity utilization even if demand did not play a role there is no reason to expect that all the other factors that determine utilization would change in a fashion that would keep utilization constant