informational content of government hogs and pigs reports we examine the value of the informational content of quarterly government reports which estimate forthcoming supplies of hogs and pigs it is assumed that a hypothetical futures trader obtains the government reports one day in advance of their release a futures market trading rule is established which uses early access to the reports together with a priori expectations of the reports contents we find the market information in the government reports is of little or no value to a futures trader in advance of the release date because this information is already incorporated in the futures price

monetary policy actions intervention and exchange rates a reexamination of the empirical relationships using federal funds rate target data the authors reexamine the relationships among federal reserve monetary policy actions u s interventions in currency markets and exchange rates using an alternative measure of monetary policy actions the federal reserve s federal funds rate target they find that exchange rates generally respond immediately to u s monetary policy actions and that these responses are usually consistent with the overshooting hypothesis the authors also find evidence of signaling and leaning against the wind u s intervention policies over the sample however controlling for such interventions do not alter their estimates of exchange rate responses to federal funds rate target changes copyright 1998 by university of chicago press

federal timber restrictions interregional spillovers and the impact on us softwood markets abstract an econometric model of the us softwood lumber and timber markets is estimated and used to simulate the price trade and welfare effects of reductions in federal timber sales in the western us commencing in the late 1980s results indicate that the timber sale reductions increased lumber prices by roughly 15 percent in the mid 1990s lumber consumers were the unambiguous losers from the policy while lumber and timber producers were net welfare gainers as the quantity induced losses to western lumber producers were more than offset by price increases and quantity gains to southern us and canadian lumber producers and timber producers in all regions

examining dynamically changing timber market linkages market integration has been widely studied in the past to gain a better understanding of how different markets for the same good interact with one another traditional cointegration tests have been used to perform these analyses however these tests can only reveal the presence of stable or average long term relationships to evaluate market dynamics over time we modify a time varying smooth transition autoregressive tv star model to examine pine stumpage markets in the us south the proposed model incorporates an economic indicator and allows us to evaluate market integration as it changes throughout a specified time period the potential significance of this work is twofold first market integration can be observed as a function of an economic indicator and secondly the proposed model will allow us to draw inference about market integration at specific time points

inventory investment in norway abstract it is well known that production is more variable than sales in most oecd countries it is also known that production is less variable than sales in norway this paper investigates why inventory investment in norway shows such a distinct characteristic we find that inventory behavior in norway is well explained by trade balances but little explained by other gdp components and gdp itself we also find that inventory investment in norway is in marked contrast with inventory investment in other oecd countries which is well explained by output fluctuations

measuring the effects of regulation with stock price data this article examines the usefulness of stock returns in measuring the effects of regulation when the dates on which market expectations change are not known and standard sources e g the wall street journal are used to choose announcement dates twenty major changes in regulatory constraint since 1887 are considered tests using either monthly or daily data are found to have surprisingly little ability to detect the effects of regulation the evidence shows that formal regulatory announcements are generally anticipated in cases where it is unclear when expectations change

common trends and common cycles the existence of a serial correlation common feature among the first differences of a set of i 1 variables implies the existence of a common cycle in the beveridge nelson stock watson decomposition of those variables a test for the existence of common cycles among cointegrated variables is developed the test is used to examine the validity of the common trend common cycle structure implied by flavin s excess sensitivity hypothesis and campbell and mankiw s mixture of rational expectations and rule of thumb hypothesis for consumption and income linear independence between the cointegration and the cofeature vectors is exploited to decompose consumption and income into their trend and cycle components copyright 1993 by john wiley sons ltd

a positive theory of environmental quality regulation this paper demonstrates that environmental quality regulation may enhance producer wealth while simultaneously reducing an externality problem by restricting access to common property regulation not only corrects a resource misallocation but it creates a scarcity rent as well in the recent history of environmental quality the common access problem has been addressed by federal and state agencies through a standards based approach rather than through the enforcement of tradable property rights as a consequence rents from the right to use these assets have accrued to producers the data are convincing that there is a strong interplay between producers consumers and the victims of pollution each party has some influence on the outcome and one sided analysis neglects many important aspects of regulation environmental quality regulation is complicated but many of the observed perplexities are consistent with a rent seeking self interest theory of government 46 references 1 figure 7 tables

economics and politics the case of sugar tariff reform we study congressional voting on sugar tariff reform in 1912 to investigate theories of constituent influence on trade policy in this setting consumer interests enjoyed substantial political efficacy moreover since a variety of producer interests competed in the political marketplace we can evaluate which producer interests were most effective we explore these issues by integrating two techniques drawn from economics and political science overcoming some common problems encountered in political economy research we first conduct an event study to ascertain the relative incidence and importance of legislative events we then conduct a roll call regression on congressional votes to determine legislator responsiveness to different interest groups we find that wealthy and concentrated groups especially shareholders were not influential large unconcentrated groups in particular beet sugar laborers and sugar beet and sugarcane farmers were the most influential producer groups strikingly these la

the persistence of the peso problem when policy is noisy abstract the peso problem the market s belief that a discrete event may occur has frequently been blamed for the persistence of on average mistaken forecasts of macroeconomic variables this paper demonstrates how beliefs that a policy process may have switched can induce apparent ex post biased forecasts of exchange rates even after the switch has occurred furthermore during this peso problem period exchange rates may appear to contain a speculative bubble component since they will systematically deviate from the levels implied by observing fundamentals ex post and the conditional variance of exchange rates will exceed the variance implied by observing fundamentals

statistical arbitrage and securities prices this article introduces the concept of a statistical arbitrage opportunity sao in a finite horizon economy a sao is a zero cost trading strategy for which i the expected payoff is positive and ii the conditional expected payoff in each final state of the economy is nonnegative unlike a pure arbitrage opportunity a sao can have negative payoffs provided that the average payoff in each final state is nonnegative if the pricing kernel in the economy is path independent then no saos can exist furthermore ruling out saos imposes a novel martingale type restriction on the dynamics of securities prices the important properties of the restriction are that it 1 is model free in the sense that it requires no parametric assumptions about the true equilibrium model 2 can be tested in samples affected by selection biases such as the peso problem and 3 continues to hold when investors beliefs are mistaken the article argues that one can use the new restriction to empirically resolve the joint hypothesis problem present in the traditional tests of the efficient market hypothesis in a fairly general environment this article proposes a novel martingaletype restriction on the dynamics of securities prices this restriction has a number of important properties most notably the restriction may be viewed as model free because it requires no parametric assumptions about the true equilibrium model to derive the restriction we rely on the concept of statistical arbitrage a generalization of pure arbitrage a pure arbitrage opportunity pao is a zero cost trading strategy that offers the possibility of a gain with no possibility of a loss as is well known the existence of paos is incompatible with a competitive equilibrium in asset markets the fundamental theorem of the financial theory establishes a link between the absence of paos and the existence of a positive pricing kernel which supports securities prices while the absence of paos is a necessary condition for any equilibrium model this condition alone often yields pricing implications that are too weak to be practically useful for example when valuing options in incomplete markets the no arbitrage bounds on option prices are typically very wide to strengthen pricing implications several recent articles

market reaction to public information the atypical case of the boston celtics abstract the publicly traded boston celtics limited partnership shares provide a unique means of studying the impact of information on equity prices the results of the celtics basketball games significantly affect partnership share returns trading volume and volatility controlling for the expectedvalue of the signal using betting market point spreads has little effect on these relations investors respond asymmetrically to wins and losses and playoff games have a larger impact on returns than regular season games opening prices do not fully reflect game results consistent with previous findings that significant volatility is caused by traders acting on private information

aggregate inventory behavior in large european economies abstract inventory fluctuations are known to be an important propagation mechanism for u s business cycles this paper compares the significance of inventory fluctuations in the u s with four other major industrial economies in europe a general model of aggregate inventory demand is specified which seeks to encompass the models presented in recent studies of inventory behavior this model is estimated for the large european economies united kingdom west germany france and italy the preferred models that result from this analysis are compared with the empirical evidence for the u s

no news is good news stochastic parameters versus media coverage indices in demand models after food scares we develop a stochastic parameter approach to model the time varying impacts of food scares on consumption as an alternative to the inclusion of news coverage indices in the demand function we empirically test the methodology on data from four food scares the 1982 heptachlor milk contamination in oahu hawaii and the bovine spongiform encephalopathy and two escherichia coli scares on u s meat demand over the period 1993 9 results show that the inclusion of time varying parameters in demand models enables the capturing of the impact of food safety information and provides better short term forecasts

the production and inventory behavior of the american automobile industry understanding inventory movements is central to an understanding of business cycles this paper presents an empirical study of the behavior of inventories in the automobile industry it finds that inventory behavior is well explained by the assumption of intertemporal optimization with rational expectations the underlying cost structure appears to have substantial costs of changing production as well as substantial costs of being away from target inventory thelatter being a function of current sales given this cost structure whether inventory behavior is stabilizing or destabilizing depends on the characteristics of the demand process in the automobile industry inventory behavior is destabilizing the variance of production is larger than the variance of sales

investigating security price performance in the presence of event date uncertainty abstract this paper introduces an event study method that incorporates the possibility of a random event date consistent with empirical evidence we assume an event may affect not only the conditional mean of a security s return but also its conditional variance we compare the statistical power and efficiency of our maximum likelihood method with the standard application of traditional event study methods to multiday security returns assuming a two day event period our empirical results provide evidence that the multiday approach is robust we use our maximum likelihood method to investigate the valuation effects of stock splits and stock dividends

the reaction of live hog futures prices to usda hogs and pigs reports strong concerns about how efficiently live hog futures prices react to u s department of agriculture hogs and pigs reports have been raised by livestock producer groups using market survey data direct tests of the efficient markets hypothesis are performed for the live hog futures market two limit tobit models account for institutional price limits results support the efficient market hypothesis in that live hog futures prices a do not react to anticipated changes in reported information b do react significantly and in the expected direction to unanticipated changes in reported information and c generally adjust to unanticipated information on the day following release of the reports

how markets process information news releases and volatility we examine the impact of scheduled macroeconomic news announcements on interest rate and foreign exchange futures markets we find these announcements are responsible for most of the observed time of day and day of the week volatility patterns in these markets while the bulk of the price adjustment to a major announcement occurs within the first minute volatility remains substantially higher than normal for roughly fifteen minutes and slightly elevated for several hours nonetheless these subsequent price adjustments are basically independent of the first minute s return we identify those announcements with the greatest impact on these markets we examine the impact on interest rate and foreign exchange markets of scheduled macroeconomic news releases such as the employment report the consumer price index cpi and the producer price index ppi many market participants believe that such announcements have a major impact on financial markets indeed a small industry devoted to predicting the figures to be released in upcoming releases has evolved in recent years with the exception of the weekly money supply figures however the impact of such announcements on financial markets has received scant attention 1 this is doubly surprising given the considerable research interest in market volatility since these news releases are a potential source of much of this volatility consider for instance figure 1 as shown there prices in interest rate and foreign exchange futures markets are much more volatile between 8 30 and 8 35 a m eastern time et than during any other five minute trading period including

joint production quasi fixed factors of production and investment in finished goods inventories inventory investment has long been an important area of inquiry for empirical work in macroeconomics this is due in large measure to the fact that inventory investment is a major source of fluctuations in aggregate output empirical work on inventories however has been dominated by the use of simple univariate flexible accelerators 1 the major objective of this paper is to propose and test a multivariate flexible accelerator model for inventory investment the model is tested with data on finished goods inventories from the manufacturing sector of the u s economy there are two reasons for undertaking such a task first at a theoretical level a univariate flexible accelerator model asserts that investment in say finished goods inventories is proportional to the gap between the desired and actual stocks of finished goods such a model presumes that decisions by firms on finished goods inventories are made independently of decisions on other stocks but theory suggests that when firms make simultaneous decisions on a variety of stocks which includes not only finished goods but also goods in process inventories the size of the work force etc decisions on finished goods will interact with decisions on

inventories and the structure of macro models the message of this paper can be summed up in two words inventories matter they matter empirically in the sense that inventory developments are of major importance in the propagation of business cycles and they matter theoretically in the sense that recognition of their existence changes the structure of a variety of theoretical macromodels in some fairly important ways this paper is mainly about the implications of inventories for the structure of theoretical macro models but i begin by demonstrating the empirical importance of inventories in business fluctuations this abstract was borrowed from another version of this item

the variability of aggregate demand with s s inventory policies this paper develops a general theory of the aggregate implications of s s inventory policies it is shown that s s policies add to the variability of demand with the variance of orders exceeding the variance of sales overall the s s theory contradicts the widely held notion that retail inventories act as a buffer protecting manufacturers from fluctuating sales in 1951 arrow harris and marschak 3 introduced the s s form of inventory policy the policies are designed for retailers of finished goods who face economies of scale when placing orders with their suppliers to pursue an s s inventory policy the retailer establishes a lower stock point s and an upper stock point s no order is placed until inventories fall to s or below whereupon they are restored to the maximum of s a general proof of the optimality of these s s inventory policies was provided by scarf 13 at the microeconomic level the model has been extensively investigated formulae are available to compute optimal policies e g ehrhardt 6 and these policies are xidely used in industry e g schwartz ed 14 in addition the model has been extended to increasingly complex demand environments e g karlin and fabens 11 in contrast little is known about the macroeconomic implications of s s policies several recent papers have begun to correct this deficiency akerlof has suggested that pursuit of constant threshold money holding policies of the s s variety might be responsible for the observed low short run income elasticity of the demand for money akerlof 1 and akerlof and milbourne 2 in the operations research literature ehrhardt schultz and wagner 7 analyzed the demand environment of a wholesaler supplying several retailers they required that the distinct retailers have independent sales ruling out the analysis of common factors in sales finally simulation results of blinder 4 suggested a role for the s s model in understanding retail sector inventories however the theoretical difficulties with the model remained unresolved blinder commented if firms have a technology that makes the s s rule optimal aggregation across firms is inherently difficult indeed it is precisely this difficulty which has prevented the s s model from being used in empirical work to date blinder 4 p 459 in this paper we present a general theory of the aggregate implications of s s policies our central finding is that s s policies add to the variability of demand with the variance of orders exceeding the variance of sales this result holds even in the presence of common factors in retail sales in addition a close connection

pairs trading performance of a relative value arbitrage rule we test a wall street investment strategy pairs trading with daily data over 1962 2002 stocks are matched into pairs with minimum distance between normalized historical prices a simple trading rule yields average annualized excess returns of up to 11 for self financing portfolios of pairs the profits typically exceed conservative transaction cost estimates bootstrap results suggest that the pairs effect differs from previously documented reversal profits robustness of the excess returns indicates that pairs trading profits from temporary mispricing of close substitutes we link the profitability to the presence of a common factor in the returns different from conventional risk measures wall street has long been interested in quantitative methods of speculation one popular short term speculation strategy is known as pairs trading the strategy has at least a 20 year history on wall street and is among the proprietary statistical arbitrage tools currently used by hedge funds as well as investment banks the concept of pairs trading is disarmingly simple find two stocks whose prices have moved together historically when the spread between them widens short the winner and buy the loser if history repeats itself prices will converge and the arbi

the resurgence of inventory research what have we learned abstract recent empirical and theoretical research on business inventories is surveyed and critically evaluated while most inventory research has had macroeconomic motivations we focus on its microtheoretic basis and on potential conflicts between theory and evidence the paper asks two principal questions first how can inventories which are allegedly used by firms to stabilize production nonetheless be a destabilizing factor at the macroeconomic level second why if firms are following the production smoothing model is production more variable than sales in many industries we suggest that the so called s s model may help answer both questions

what will take the con out of econometrics the paper begins with the question of whether leamer s extreme bounds analysis eba really does take the con out of econometrics by analytically demonstrating that the extreme bounds are simply functions of the f statistic for the deletion of variables from a regression we conclude that the information provided by eba represents no advance over that available from traditional methods furthermore there is a degree of arbitrariness in eba which exactly parallels the selective reporting of regressions it was designed to supplant the last part of the paper attempts a positive response to its title by following a well defined series of modelling steps we maintain that cooley and le roy s eba derived conclusions concerning the interest elasticity of money demand owe more to a faulty methodology than to the data this abstract was borrowed from another version of this item

announcement effects and the theory of storage an empirical study of lumber futures we investigate how lumber futures returns are affected by monthly housing starts announcements and analyze the dependence of the response on lumber inventories and time to delivery to do so we develop a generalized least squares gls method to jointly analyze simultaneously traded contracts we find that increases in the unanticipated component of housing starts announcements increase returns on lumber futures contracts further and as predicted by the theory of storage but previously unrecorded the effects of housing starts shocks decline with lumber inventories there is also a time to delivery effect near delivery contracts respond more sharply to housing starts news than do farther out contracts

the sherman antitrust act and the railroad cartels a lthough it is ninety years since the railroad cartels were ruled in violation of the sherman antitrust act of 1890 in the trans missouri 1897 and joint traffic 1898 decisions there is no agreement concerning the effect of these cases on collusion by the railroads 2 gabriel kolko and paul macavoy conclude that the supreme court decisions caused a permanent breakdown of the railroad cartels 3 other observers however argue that the effect on railroad collusion was negligible 4 this article uses stock price revaluations since trans missouri was largely unanticipated and estimates of railroad rates to measure the ef

the mainspring of economic growth lecture to the memory of alfred nobel april 27 1973 this abstract was borrowed from another version of this item

market incentives for safe foods an examination of shareholder losses from meat and poultry recalls meat and poultry recalls while voluntary are carried out under governmental oversight if firms have financial incentives to avoid being implicated in a recall situation governmental involvement in recalls may cause firms to internalize social costs when making investment decisions concerning food safety controls to examine these incentives we analyze federally supervised meat and poultry recalls from 1982 to 1998 within an event study results show significant shareholder losses when publicly traded food companies are implicated in a recall involving serious food safety hazards we find no evidence that the stock market reacts negatively when recalls involve less severe hazards each year unsafe foods sicken millions and lead to losses in terms of life and productivity mead et al estimate that foodborne pathogens account for 76 million illnesses and 5 000 deaths in the united states given human error and the limitations of food safety technology food items that pose undue risks to the public will be distributed from time to time when this occurs the firms involved stand to incur expenses related to recovering disposing of or reconditioning potentially contaminated products already placed on the market in addition negative publicity can lead to reductions in product demand and may erode prior investments in reputation and brand capital these firms may also face costs from liability claims associated with an outbreak of food related illnesses or injury our main objective in this paper is to examine reductions in food company valuations that result from food contamination incidents we focus specifically on meat and poultry firms that have shipped products that were later recalled for food safety reasons because preventative actions taken by firms can affect the probability of being implicated in a product recall situation the wealth that is lost when companies are required to recall

a new approach to statistical arbitrage strategies based on dynamic factor models of prices and their performance statistical arbitrage strategies are typically based on models of returns we introduce a new statistical arbitrage strategy based on dynamic factor models of prices our objective in this paper is to exploit the mean reverting properties of prices reported in the literature we do so because to capture the same information using a return based factor model a much larger number of lags would be needed leading to inaccurate parameter estimation to empirically test the relative performance of return based and price based models we construct portfolios long short long only and equally weighted based on the forecasts generated by two dynamic factor models using the stock of companies included in the s p 500 index for constructing portfolios the empirical analysis statistically tests the relative forecasting performance using the diebold mariano framework and performing the test for statistical arbitrage proposed by hogan et al 2004 our results show that prices allow for significantly more accurate forecasts than returns and pass the test for statistical arbitrage we attribute this finding to the mean reverting properties of stock prices the high level of forecasting accuracy using price based factor models has important theoretical and practical implications

are harvest forecasts news usda announcements and futures market reactions futures market price data for maize and soyabeans are used to examine reactions to us department of agriculture harvest forecasts these forecasts are widely known and reasonably accurate so failure to find significant reaction would indicate that the usda did not contribute additional news relative to information already possessed by traders various t tests f tests and nonparametric chi square tests indicate rejection of the null hypothesis of no significant difference between means of absolute values or variances of changes in closing prices on days following a usda announcement and other days thus the data indicate that significant information is contained in the forecasts

investment in finished goods inventories an analysis of adjustment speeds it is well known that fluctuations in inventory investment are a major source of fluctuations in gross national product this has stimulated numerous empirical studies designed to understand the causes of changes in inventory investment these studies include those for example michael lovell that utilize a flexible accelerator model of inventory behavior as well as those for example david belsley that utilize the linear decision rule approach to optimal inventory holding the latter approach however can be interpreted in terms of a flexible accelerator model see j c r rowley and p k trivedi for a survey of the literature recently several authors for example martin feldstein and alan auerbach observed that these studies yield very implausible empirical results the basic difficulty is that the estimates of the speed with which firms close gaps between desired and actual inventory stocks are very low often the estimated speed of adjustment is less than 10 percent per quarter as feldstein and auerbach stress this is extremely implausible when even the largest swings in inventories in a given quarter amount to less than one day s production the purpose of this paper is to undertake an analysis of adjustment speeds for finished goods inventory investment in our empirical work we utilize a modified flexible accelerator model of inventory investment 1 like the conventional flexible accelerator the model permits firms to close a fraction of the gap between desired and actual inventories in any period the relevant fraction is of course the adjustment coefficient and it may vary in principle between zero and unity our model differs from the conventional model in assuming that the desired stock of finished goods inventories depends on the normal levels of exogenous variables that firms must forecast to make decisions on inventory holdings these include not only the normal level or orders or demand which is a standard explanatory variable in the empirical literature but also the normal levels of real factor input prices and real interest rates in addition we permit the normal levels to change relatively slowly in response to changes in past levels of orders real factor input prices and real interest rates our objective is to investigate whether the slow adjustment speeds that have been estimated in the literature are due to the use of models which contain an incomplete menu of exogenous variables to determine desired inventories and pay inadequate attention to lags in the adjustment of normal levels of exogenous variables

estimating the structure of market reaction to news information events and lumber futures prices we develop a new event study technique the distributional event response model derm appropriate to relatively slowly evolving information events we apply the model to twelve years of daily lumber futures prices and analyze the effects of three different types of information releases a monthly housing starts estimates b aperiodic administrative and judicial announcements about u s canada trade disputes and c novel and unprecedented court decisions related to the endangered species act esa the information releases are different in ways that predict their relative speeds of impoundment in prices we find that housing start events are absorbed more quickly than trade events which are absorbed more quickly than esa events

a stochastic volatility model with markov switching this article presents a new way of modeling time varying volatility we generalize the usual stochastic volatility models to encompass regime switching properties the unobserved state variables are governed by a first order markov process bayesian estimators are constructed by gibbs sampling high medium and low volatility states are identified for the standard and poor s 500 weekly return data persistence in volatility is explained by the persistence in the low and the medium volatility states the high volatility regime is able to capture the 1987 crash and overlap considerably with four u s economic recession periods

the welfare impacts of u s trade restnctions against the canadian softwood lumber industry a spatial equilibrium in this paper we estimate the production and welfare impacts of various u s trade restrictions on canadian lumber after building a model that incorporates the regional character of the north american lumber market we simulate a variety of tariffs and quotas now advocated by a number of u s lawmakers we find that the tariff losses incurred by canadian producers could be substantial depending on the elasticity of their export supply voluntary restraint agreements however might lead to canadian gains as high as 40 per cent of their pre existing profits

the marginal cost of species preservation the northern spotted owl abstract because species survival is not certain the decision to save a species is not an all or nothing choice but rather a marginal one the appropriate unit for both benefit and cost functions is the likelihood of survival and the appropriate question is how certain we want to be of species survival the intensity of the species preservation debate is also fired by strong equity concerns we illustrate these points for the case of the northern spotted owl by constructing a marginal cost curve for its survival and by disaggregating welfare loss by region and by market level

finished product inventories and price expectations in the softwood lumber industry a monthly model is presented of the u s softwood lumber sector price expectations and beginning period inventories have important roles in producers production sales and inventory decisions cross price effects among domestic producing regions are minimal however there is substantial competition between u s and canadian producers our model produces supply elasticities demand elasticities and inventory response parameters that are different from and more comprehensive than those obtained in previous work

some international evidence on inventory fluctuations abstract this paper shows some international evidence that production is more variable than sales in most developed countries but the reverse is true in most developing countries from international perspectives cost shocks do not appear to be the predominant source of fluctuations in inventories contrary to the widely accepted evidence in the postwar united states demand shocks and serial correlations in demand on the other hand appear to be of roughly equal importance for inventory fluctuations

common nonstationary components of asset prices abstract portfolio separation in a multi period general equilibrium context implies that asset prices are collinear in economies that do not exhibit separation but that move close to separation approximate collinearity or cointegration emerges as a statistical model of actual data a new test for cointegration is proposed it is based on time series canonical correlation analysis and solves the problem of unidentified parameters under the null hypothesis and of identification of the cointegrating vectors when more than two time series are investigated an empirical analysis of prices of five size based portfolios and five industry based portfolios of common stock reveals substantial evidence of cointegration

federal timber restrictions and interregional arbitrage in u s lumber harvesting restrictions to protect the habitat of the northern spotted owl on federal forests in the pacific northwest pnw substan tially reduced timber available for processing by the forest products industry we consider the ex tent to which these restrictions may have altered the degree of integration of the pnw and u s south in a national market for lumber descrip tive statistics and econometric analysis of monthly price data suggest that a structural break occurred in the relationship between the two re gions product prices around the time of the har vest restrictions leading to a more integrated market after the restrictions were imposed jel q23

can the production smoothing model of inventory behavior be saved the production smoothing model of inventory behavior has a long and venerable history and theoretical foundations that seem very strong yet certain overwhelming facts seem not only to defy explanation within the production smoothing framework but actually to argue that the basic idea of production smoothing is all wrong most prominent among these is the fact that the variance of detrended production exceeds the variance of detrended sales this paper first documents the stylized facts then it derives the production smoothing model rigorously and explains how the model can be amended to make it consistent with the facts finally it reviews the theoretical and empirical evidence and tries to draw some tentative conclusions

event studies in economics and finance the event study is an important research tool in economics and finance the goal of an event study is to measure the effects of an economic event on the value of firms event study methods exploit the fact that given rationality in the marketplace the effects of an event will be reflected immediately in security prices thus the impact can be measured by examining security prices surrounding the event in this paper event study methods are described including some of the potential complications an example is included to illustrate the approach