farmers investment behavior an empirical assessment of two specifications of expectations the capital investment decision is modeled and two different assumptions about expectations are compared and tested using panel data for dutch dairy farms the utilization of panel data allowed to account for the possibility that the intercept in the function for capital varies over the farms the models are estimated using the generalized method of moments gmm for dynamic panel data the model based on static expectations fits the data well the results obtained from the rational expectations model are not consistent with the theory

analytical evaluation of volatility forecasts estimation and forecasting for realistic continuous time stochastic volatility models is hampered by the lack of closed form expressions for the likelihood in response andersen bollerslev diebold and labys econometrica 71 2003 579 625 advocate forecasting integrated volatility via reduced form models for the realized volatility constructed by summing high frequency squared returns building on the eigenfunction stochastic volatility models we present analytical expressions for the forecast efficiency associated with this reduced form approach as a function of sampling frequency for popular models like garch multifactor affine and lognormal diffusions the reduced form procedures perform remarkably well relative to the optimal infeasible forecasts

heterogeneous information arrivals and return volatility dynamics uncovering the long run in high frequency returns recent empirical evidence suggests that the interdaily volatility clustering for most speculative returns are best characterized by a slowly mean reverting fractionally integrated process meanwhile much shorter lived volatility dynamics are typically observed with high frequency intradaily returns the present article demonstrates that by interpreting the volatility as a mixture of numerous heterogeneous short run information arrivals the observed volatility process may exhibit long run dependence as such the long memory characteristics constitute an intrinsic feature of the return generating process rather than the manifestation of occasional structural shifts these ideas are confirmed by our analysis of a one year time series of fiveminute deutschemark u s dollar exchange rates among the most puzzling issues is the behavior of volatility while the general properties of volatility remain elusive perhaps the most intriguing feature revealed by empirical work on volatility is its long persistence such behavior has sparked a search almost akin to that for the holy grail for the perfect garch model but the underlying question of why such volatility persistence endures remains unanswered we conjecture that the ability to analyze higher frequency data may be particularly useful in pursuing this issue goodhart and o hara 1997 the pronounced volatility clustering is arguably one of the most striking features of financial price series recorded at daily or weekly intervals and a large body of literature seeking to characterize this aspect of speculative returns has emerged over the past decade 1 at the same time convincing theoretical explanations for the underlying sources of long run persistence in volatility remain elusive the recent advent of comprehensive high frequency andersen is from the j l kellogg graduate school of management of northwestern university bollerslev is from the university of virginia and is a research associate at the national bureau of economic research we gratefully acknowledge the financial support provided by a research grant from the institute for quantitative research in finance the q group special thanks are due to olsen and associates for making the intradaily exchange rate quotes and reuter s news tape available we have received valuable comments from wake epps clive w j granger stephen f gray j huston mcculloch as well as seminar participants at the december 1996 triangle econometrics workshop the 1997 afa meetings in new orleans academia sinica the wharton school usc and georgetown and york universities we remain fully responsible for the content 1 see bollerslev chou and kroner 1992 for a survey of this literature using arch type

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

evaluating interval forecasts a complete theory for evaluating interval forecasts has not been worked out to date most of the literature implicitly assumes homoskedastic errors even when this is clearly violated and proceed by merely testing for correct unconditional coverage consequently i set out to build a consistent framework for conditional interval forecast evaluation which is crucial when higher order moment dynamics are present the new methodology is demonstrated in an application to the exchange rate forecasting procedures advocated in risk management

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

the redistributive effect of public housing in hong kong public housing programmes in hong kong affect half of the population directly and the other half indirectly this paper assesses the redistributive effect of public rental housing on income distribution it uses a subsidised to market rent ratio method and an imputed rent method to convert transfer in kind of public rental housing into equivalent monetary value empirical results show that the provision of public housing alleviates the income inequality problem however the amount of public expenditure required achieving the same improvements in gini coefficient and other inequality measures is small relative to the actual public expenditure on housing policy makers should thoroughly review the existing public housing programmes

is inequality harmful for growth comment endogenous growth models have reignited interest in institutional and path dependencies in the economic growth process one reason for the interest in endogenous growth models is that they may explain why countries consistently grow at different rates in this vein it has been recently proposed that greater economic inequality reduces future economic growth an important paper in this literature is by torsten persson and guido tabellini 1994 who will be referred to as pt pt s model shows why it is reasonable to expect a negative relationship between inequality and future economic growth moreover their empirical evidence is consistent with their contention if pt s findings are robust to other data sets there would be important policy implications for example they imply that policy makers should not only be concerned with the distributional implications of government policies for political and social reasons but also because income distribution has long run effects on economic growth this indicates that greater u s income inequality since the early 1970 s may have resulted in lower subsequent economic growth however pt s results are somewhat fragile to various specifications suggesting that they should be replicated with different data sets and over different time periods pt p 617 with these implications in mind this study employs data from a panel of u s states to further explore the relationship between economic growth and income inequality in what follows section i summarizes pt s study and discusses how this comment extends their findings the empirical implementation and results in section ii directly examine the link between overall income inequality and growth section iii expands the analysis to alternative measures of income distribution and government policy one emphasis in section iii is the distinction between how the overall income distribution especially at the tails influences economic growth from how the relative well being of the median voter affects economic growth section iv provides some concluding discussion

aggregation without separability tests of the united states and mexican agricultural production data the generalized composite commodity theorem gcct and testing procedure is extended to test for consistent aggregation of the united states and mexican agricultural production data in each category for which earlier tests rejected homothetic separability nonrejected gcct and separability hypotheses provide empirical support for aggregating all the united states agricultural outputs into as few as two categories crops and livestock mexican agricultural outputs also can be aggregated into as few as two categories support for aggregating all outputs into a single category is ambiguous in both countries and is only provided by the gcct

multiple measurements of u s income inequality using 1980 state census data the gini ratio theil index coefficient of variation atkinson measure four values and nelson index as separate measurements of income inequality are regressed with nineteen ses variables traditionally found significant with gini in past research the standard deviation of educational attainment is dominant among all independent variables as the strongest predictor of inequality mean family income dominant in prior research is a distant second in predictiveness more diversity than commonality is evident among the nineteen ses variables as they predict income inequality measured by the eight different techniques copyright 1988 by mit press

does inequality in china affect health differently in high versus low income households china s so called reform and opening up policy gai ge kai fang implemented nearly 30 years ago has led to tremendous economic development china s nominal gross domestic product gdp was 3 25 trillion us dollars in 2007 making it the fourth largest economy in the world at the same time income inequality has become quite skewed in china inviting considerable criticism moreover the trend towards greater income inequality persists of particular public policy relevance is the effect of income inequality on health disparities in china particularly for low income households this study addresses this issue using a longitudinal dataset from the china health and nutrition survey chns over the period 1997 to 2006 our central finding is that income inequality affects health differently by socioeconomic status income inequality harms individual health among low income households by more than it does among high income households more specifically health is more adversely affected by greater incom

a cyclical model of exchange rate volatility abstract in this paper we investigate the long run dynamics of the intraday range of the gbp usd jpy usd and chf usd exchange rates we use a non parametric filter to extract the low frequency component of the intraday range and model the cyclical deviation of the range from the long run trend as a stationary autoregressive process we use the cyclical volatility model to generate out of sample forecasts of exchange rate volatility for horizons of up to 1 year under the assumption that the long run trend is fully persistent as a benchmark we compare the forecasts of the cyclical volatility model with those of the range based egarch and fiegarch models of brandt and jones 2006 not only does the cyclical volatility model provide a very substantial computational advantage over the egarch and fiegarch models but it also offers an improvement in out of sample forecast performance

dynamic and static behaviour with respect to energy use and investment of dutch greenhouse firms dutch greenhouse horticulture firms are energy intensive and major emitters of greenhouse gases this paper develops a theoretically consistent model that is able to describe the greenhouse firms behaviour regarding energy use and investments in energy technology the behaviour of the firm is modelled using a combination of a dynamic cost function and a static profit function framework the optimal quantity of energy is derived from the link between these two functions the model is applied to a panel of 97 dutch greenhouse firms over the period 2001 2008 the results show that most dutch greenhouse firms shift from being net electricity users to net electricity producers in the long term investing in energy capital contributes to reducing net energy use however it increases the quantity of carbon dioxide emissions due to an increase in electricity production a 1 increase of the price of gas reduces carbon dioxide emissions by 1 6

varying the var for unconditional and conditional environments abstract accurate forecasting of risk is the key to successful risk management techniques using the largest stock index futures from 12 european bourses this paper presents var measures based on their unconditional and conditional distributions for single and multi period settings these measures underpinned by extreme value theory are statistically robust explicitly allowing for fat tailed densities conditional tail estimates accounting for volatility clustering are obtained by adjusting the unconditional extreme value procedure with garch filtered returns the conditional modelling results in iid returns allowing for the use of a simple and efficient multi period extreme value scaling law the paper examines the properties of these distinct conditional and unconditional trading models the paper finds that the biases inherent in unconditional single and multi period estimates assuming normality extend to the conditional setting

predicting volatility in the foreign exchange market measures of volatility implied in option prices are widely believed to be the best available volatility forecasts in this article we examine the information content and predictive power of implied standard deviations isds derived from chicago mercantile exchange options on foreign currency futures the article finds that statistical time series models even when given the advantage of ex post parameter estimates are outperformed by isds isds however also appear to be biased volatility forecasts using simulations to investigate the robustness of these results the article finds that measurement errors and statistical problems can substantially distort inferences even accounting for these however isds appear to be too variable relative to future volatility it is widely believed that the volatility implied in option prices is the market s best estimate of future volatility after all if it were not one could devise a trading strategy that could generate profits by identifying mispriced options the purpose of this article is to investigate the information content and predictive power of volatility implied in options on foreign currencies the paper focuses on options on currency futures traded on the chicago mercantile exchange cme because of the depth and liquidity of cme futures and options traded side by side in the same market implied standard deviations isds allow for clean tests of the predictive power of implied volatilities early studies of the information content of isds have generally found that these contain substantial information for future volatility latane and rendleman 1976 chiras and manaster 1978 and beckers 1981 for example regress future volatility on the weighted implied volatility across a broad sample of chicago board options exchange cboe stocks and find that options contain volatility forecasts that are more accurate than historical measures 1 these studies performed shortly after the 1973 beginning of the cboe option market could only use a relatively short time span and therefore focused on cross sections rather than time series predictions

structural models of dynamic factor demands with nonstatic expectations an empirical assessment of alternative expectations specifications until recently little literature existed on incorporation of nonstatic price and output expectations into empirically implementable factor demand models for example the vast literature on flexible functional forms is almost completely characterized by static expectations on prices and output as well as instantaneous adjustment to desired levels of demand more recent studies have incorporated increasingly complex theoretical and econometric structures the literature along the lines of fuss 1976 and berndt fuss and waverman 1979 bfw incorporates endogenous determination of dynamic adjustment structure but retains a static expectations assumption on the other hand most current rational expectations models following the lead of thomas sargent and robert lucas make very restrictive simplifying assumptions on the deterministic economic structure in order rigorously to specify the complex stochastic structure implied by the rational expectations assumption a thrid category of model represented by pindyck and rotemberg 1983 relies on an instrumental variable approach to ensure error orthogonality and hence consistency with the rational expectations assumption this procedure allows for a more complete structural specification but does not explicitly incorporate an expectations process this paper represents a step toward a synthesis of the structural and stochastic approaches to dynamic input demand modeling with emphasis on both theoretical foundations and empirical tractability in this approach approximations to rational expectations and certainty equivalence are used explicitly to incorporate anticipatory behavior of firms into the structural model of dynamic factor demands theoretically this is accomplished without sacrificing rich economic structure a structural factor demand model is developed which includes both stock relationships and expectations formation based on an explicit dynamic optimization framework empirically the focus is on avoiding complex stochastic structures that are of little use to most empirical researchers all of the expectational models are empirically straightforward to implement and yet incorporate the important theoretical and empirical structure required for detailed analysis of short and long run behavior two issues must be addressed to formalize and implement the model the

integrating agronomic principles into production function specification a dichotomy of growth inputs and facilitating inputs this article presents a general conceptual framework for integrating agronomic principles into economic production analysis we categorize inputs in crop production into growth inputs and facilitating inputs based on this dichotomy we specify an asymmetric production function the robustness of the asymmetric framework is tested using crop level panel data on potato production in the netherlands the test results do not reject the proposed framework and the asymmetric specification better represents the underlying production technology

asymmetric adjustment costs in non linear labour demand models for the netherlands and u k manufacturing sectors the costs of hiring a worker generally differ in size from the firing costs this article investigates optimal labour demand schedules for production and nonproduction workers of firms that operate under uncertainty and face asymmetric costs of adjusting their workforce in the empirical part generalised methods of moments gmm estimates of the structural parameters of the euler conditions for production and nonproduction workers are presented together with specification and structural stability tests using time series data of the netherlands and uk manufacturing sectors we find that asymmetric adjustment costs play an important role in the explanation of unbalanced labour demand between upward and downward movements of the business cycle moreover hiring costs exceed firing costs of production workers whereas firing costs exceed hiring costs of nonproduction workers

a utility based comparison of some models of exchange rate volatility abstract when estimates of variances are used to make asset allocation decisions underestimates of population variances lead to lower expected utility than equivalent overestimates a utility based criterion is asymmetric unlike standard criteria such as mean squared error to illustrate how to estimate a utility based criterion we use five bilateral weekly dollar exchange rates 1973 1989 and the corresponding pair of eurodeposit rates of homoskedastic garch autoregressive and non parametric models for the conditional variance of each exchange rate garch models tend to produce the highest utility on average a mean squared error criterion also favors garch but not as sharply

dynamic factor demands and the effects of energy price shocks a dynamic model is used to understand how sharp changes in energy prices affect investment behavior employment and energy use the authors discuss the theory behind their model selection model specifications estimation methods and data list parameter estimates and elasticities for the selected model and describe the simulations they conclude that 1 the data strongly reject the hypothesis of constant returns to scale within their specification of aggregate production 2 the data indicate adjustment costs on labor are small and 3 their results help reconcile some of the conflicting estimates of energy demand elasticities appearing in recent literature 23 references 3 figures 3 tables

on the determination of the us aggregate health care expenditure per capita real health care expenditure is examined against three major groups of explanatory variables economic demographic and health stock and it is found that the three groups of variables have an impact on real health care spending other subcategories such as real private and government health care pharmaceutical dental home nursing ambulatory personal medical consumption and in patient expenditures have also been examined and have been found to be affected by the explanatory variables for several subcomponents there is evidence of supplier inducement of the demographic group of variables the ageing population had an impact only on the per capita real overall and private health care outlay and pharmaceutical spending also cointegrating relationships were found and consistent estimators of the elasticities found

inequality and the us import demand function in this paper we build a model of trade in vertically differentiated products and find that income inequality can affect the demand for imports even in the presence of homothetic preferences the empirical importance of changes in inequality on the demand for imports is then assessed by examining panel data for 36 developing and developed countries for the 1980 1997 period we find significant evidence supporting our prediction that inequality has a large influence on the demand for imports moreover we find that in line with the predictions of our theoretical model this influence is positive for high income countries countries that produce the high quality variety of the vertically differentiated product and negative for low income countries countries that produce the low quality variety of the vertically differentiated product

implications of nonlinear dynamics for financial risk management this paper demonstrates that when log price changes are not iid their conditional density may be more accurate than their unconditional density for describing short term behavior using the bds test of independence and identical distribution daily log price changes in four currency futures contracts are found to be not iid while there appear to be no predictable conditional mean changes conditional variances are predictable and can be described by an autoregressive volatility model that seems to capture all the departures from independence and identical distribution based on this model daily log price changes are decomposed into a predictable part which is described parametrically by the autoregressive volatility model and an unpredictable part which can be modeled by an empirical density either parametrically or nonparametrically this two step seminonparametric method yields a conditional density for daily log price changes which has a number of uses in financial risk management

forecasting the var of crude oil market do alternative distributions help abstract accurate modeling of the empirical distribution of crude oil market returns is extremely important in estimating risk measures in addition to several commonly used distributions alternative distributions are explored in this study some of which account for the asymmetry and heavy tails simultaneously found in distributions and contain more tail parameters to separately depict the right and left tails when forecasting the value at risk var of crude oil markets during highly volatile periods seven backtests are also conducted to compare the var forecasting accuracy among different distributions the empirical results indicate that a highly volatile environment challenges the commonly used distributions and the four risk models based on commonly used distributions are rejected about 27 to 38 of the time the alternative distributions i e skewed general error distributions sged generalized hyperbolic skewed student t distributions ghst and generalized asymmetric student t gast distributions generally produce more accurate var measurement and gast gives the best measurement accuracy the empirical results imply that risk managers or policymakers should further consider more flexible distributions such as sged ghst or gast in particular when quantifying or managing the risk in turbulent market times

the emperor has no clothes limits to risk modelling abstract this paper considers the properties of risk measures primarily value at risk var from both internal and external regulatory points of view it is argued that since market data is endogenous to market behavior statistical analysis made in times of stability does not provide much guidance in times of crisis in an extensive survey across data classes and risk models the empirical properties of current risk forecasting models are found to be lacking in robustness while being excessively volatile for regulatory use the var measure may give misleading information about risk and in some cases may actually increase both idiosyncratic and systemic risk

energy productivity growth in the dutch greenhouse industry profitability of dutch greenhouse firms is largely dependent on energy costs and policy makers focus on reducing the use of energy by these firms this article uses russell measures of te to develop indicators of energy productivity growth results show that energy productivity grew by 2 8 annually in the period 1976 95 with technical progress being the key factor driving the process of productivity growth from this we conclude that policies aiming at enhancing the adoption of technological innovations are more effective if due attention is paid to measures for improving te

a study of credit risk of chinese listed companies zpp versus kmv abstractthe zero price probability zpp model is applied to evaluate the credit risk of listed companies in china and its performance is compared to that of the kealhofer mcquown vasicek kmv model the sample includes 34 financially distressed companies and a comparison group of 34 financially healthy companies the performances of zpp and kmv models are compared using various descriptive statistics and statistical tests the empirical analyses show that the zpp model is superior to the kmv model in terms of discriminatory power compared to the kmv model the zpp model performs much better in distinguishing between financially challenged and healthy firms among different specifications of the zpp model the naive constant variance zero price probability model outperforms those with generalized autoregressive conditional heteroskedasticity specifications this article is among the very first studies that provide evidence on the performance of the zpp model

market risk in commodity markets a var approach we put forward value at risk models relevant for commodity traders who have long and short trading positions in commodity markets in a 5 year out of sample study on aluminium copper nickel brent crude oil and wti crude oil daily cash prices and cocoa nearby futures contracts we assess the performance of the riskmetrics skewed student aparch and skewed student arch models while the skewed student aparch model performs best in all cases the skewed student arch model delivers good results and its estimation does not require non linear optimization procedures as such this new model could be relatively easily integrated in a spreadsheet like environment and used by market practitioners

persistence in variance structural change and the garch model this article examines the persistence of the variance as measured by the generalized autoregressive conditional heteroskedasticity garch model in stock return data in particular we investigate the extent to which persistence in variance may be overstated because of the existence of and failure to take account of deterministic structural shifts in the model both an analysis of daily stock return data and a monte carlo simulation experiment confirm the hypothesis that garch measures of persistence in variance are sensitive to this type of model misspecification

how relevant is volatility forecasting for financial risk management it depends if volatility fluctuates in a forecastable way volatility forecasts are useful for risk management hence the interest in volatility forecastability in the risk management literature volatility forecastability however varies with horizon and different horizons are relevant in different applications moreover existing assessments of volatility forecastability are plagued by the fact that they are joint assessments of volatility forecastability and an assumed model and the results can vary not only with the horizon but also with the assumed model to address this problem we develop a model free procedure for assessing volatility forecastability across horizons perhaps surprisingly we find that volatility forecastability decays quickly with horizon volatility forecastability although clearly of relevance for risk management at the short horizons relevant for say trading desk management may be much less important at longer horizons

investment in u s agriculture resource adjustment problems in u s agriculture are motivated against the background of the farm problem the adjustment cost hypothesis is invoked to specify and estimate consistently a system of dynamic investment demand and output supply equations by utilizing recent advances in dynamic duality theory the investment demand equations assume the form of a multivariate flexible accelerator results indicate that labor capital services and land exhibited quasi fixity while intermediate materials were a variable factor this can be construed as a form of asset fixity within aggregate u s agriculture the univariate flexible accelerator hypothesis is rejected

supply response and investment in the canadian food processing industry this paper reports on the estimation of a dynamic model of the food manufacturing industry in canada its major objectives are to analyze the determinants of investments and the production structure of the industry an important finding of the study is that the hypothesis of instantaneous capital adjustment to changing market conditions is statistically rejected capital stock adjustment to optimal levels takes approximately two and one third years another result is that although the industry is responsive to price changes a general pattern of inelastic factor demand and output supply prevails in the short run intermediate run and even in the long run