corporate conservatism and relative compensation this paper demonstrates that in a simple setting with managerial concern for reputation and asymmetric information on ability most managers may refrain from undertaking innovations that stochastically dominate an industry standard common components of uncertainty lead to market inferences of managerial ability based on relative performance managers who undertake the industry standard are consequently evaluated with a more accurate benchmark than those innovating discontinuities in compensation when performance is low because of firings lead managers to have differing valuations of an accurate benchmark depending on type in particular very high and very low ability managers are more likely to undertake superior innovations than those of average ability

alternative models of restructured electricity systems part 1 no market power different equilibrium concepts have been proposed by various authors schweppe et al hogan et al chao and peck wu et al to analyse competitive electricity systems we establish correspondences between these different models through a single framework and provide additional interpretations of these equilibrium concepts this unifying conceptual view also provides a computationally feasible approach to simulate the market it also opens the way to the modeling of some imperfect markets

delegated portfolio management abstract a problem of screening agents with privately known forecasting abilities and reservation utilities and then eliciting truthful information from these agents once they are employed is considered for the case of risk averse agents and large principals an approximately optimal solution is constructively characterized under the assumption that payoffs are normally distributed a significant extension of the definnetti savage probability elicitation result is developed under this extension knowledge of agent preferences is not required when the underlying conditional distributions are symmetric and this fact is exploited to solve the screening problem in a mean variance formulation

macroeconomic forecasts and microeconomic forecasters in the presence of principal agent problems published macroeconomic forecasts by professional economists may not measure expectations forecasters may use their forecasts in order to manipulate beliefs about their ability i test a cross sectional implication of models of reputation and information revelation i find that as forecasters become older and more established they produce more radical forecasts since these more radical forecasts are in general less accurate ex post forecast accuracy grows significantly worse as forecasters become older and more established these findings are consistent with reputational factors at work in professional macroeconomic forecasts

demand for prepared meals by u s households using the 1987 88 nfcs a heckman two stage procedure was used to estimate the demand for prepared meals by u s households prepared meals were defined as those ready to eat and those ready to cook households headed by younger more educated and time constrained managers were more likely to purchase prepared meals income elasticities ranged from 0 07 to 0 13 while own price elasticities ranged from 0 23 to 0 66 evidence exists to indicate that prepared meals and food away from home are substitutes the presence of teenagers in a household is positively associated with expenditures of prepared meals

analyst forecasts and herding behavior the use of analyst forecasts as proxies for investors earnings expectations is commonplace in empirical research an implicit assumption behind their use is that they reflect analysts private information in an unbiased manner as demonstrated here this assumption is not necessarily valid there is shown to be a tendency for analysts to release forecasts closer to prior earnings expectations than is appropriate given their information further analysts exhibit herding behavior whereby they release forecasts similar to those previously announced by other analysts even when this is not justified by their information these results are shown to have interesting empirical implications article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

the impact of bse on the demand for beef and other meats in great britain indices of media coverage of bse are incorporated in a dynamic aids model of meat demand the publicity which bse has received is found to have had significant effects on the allocation of consumer expenditure among the meats a short run impact has been identified which accounts in large part for the discernible drop in the market share of beef in the early 1990s and more important there also appears to be a significant long run impact of bse which by the end of 1993 has reduced the beef market share by 4 5

business case uncertainty of power plants in future energy systems with wind power abstract the european power sector is transforming due to climate policies and an increased deployment of intermittent res the sector will require thermal power plants for the decades to come but their business cases are negatively affected by this transformation this study presents a novel tool to quantify the effect of policy price and project related uncertainties on power plant business cases this tool can support policymakers in stimulating necessary investments in new thermal generation capacity we find that these investments are currently unsound power plants recoup on average 12 to 59 of their initial investment future climate policy i e the co 2 price has a very strong impact on business cases affects the profitability by 5 40 points the impact of the deployment of wind power is average 2 8 point difference between 10 and 21 wind penetration variations in annual wind power production barely affect the profitability variation of 1 point to stimulate new investments policymakers should first decrease the uncertainty in business cases caused by policy durable climate policy is especially important also policies to increase the profits of thermal power plants should be carefully considered and implemented this combined approach will reduce the revenue gap that needs to be bridged by supportive policies

food scandals media attention and habit persistence among desensitised meat consumers abstract consumer reactions to food scandals and their resulting economic implication are well documented however studies have typically neglected the roles that consumption habits and media usage behaviours may play in explaining household s response to food safety incidences in this study we develop a model of heterogeneous media usage intensity information impacts and decay over time to estimate household s behavioural responses to the 2011 german dioxin scandal we are specifically interested in determining the degree of heterogeneity in household s short term adjustments demand patterns versus persisting long term consumption habits of meat products chicken and pork directly affected by the incident the empirical analysis employs detailed household level retail scanner and media usage data collected by the gfk consumer scan panel for a total of 16 023 households over a period of 104 calendar weeks results of dynamic correlated random effect tobit models indicate an important role of unobserved heterogeneity in explaining household responses during the food scandal we find strong empirical evidence supporting our hypothesis that short term marginal adjustments in demand and propensity to buy affected products triggered by the negative impact of household media exposure were over compensated by habit persistence the question of how consumption patterns evolve over time in the presence of food scandals is expected to be of interest for both policy makers and the food industry the potential biases in the projection of economic impacts resulting from simplifying assumptions of household s response patterns to a proliferating numbers of food safety incidences has implications for risk management and public policy

an engineering economic approach to transmission planning under market and regulatory uncertainties wecc case study we propose a stochastic programming based tool to support adaptive transmission planning under market and regulatory uncertainties we model investments in two stages differentiating between commitments that must be made now and corrective actions that can be undertaken as new information becomes available the objective is to minimize expected transmission and generation costs over the time horizon nonlinear constraints resulting from kirchhoff s voltage law are included we apply the tool to a 240 bus representation of the western electricity coordinating council and model uncertainty using three scenarios with distinct renewable electricity mandates emissions policies and fossil fuel prices we conclude that the cost of ignoring uncertainty the cost of using naive deterministic planning methods relative to explicitly modeling uncertainty is of the same order of magnitude as the cost of first stage transmission investments furthermore we conclude that heuristic rules for constructing transmission plans based on scenario planning can be as suboptimal as deterministic plans

biased predictors rationality and the evaluation of forecasts abstract optimal rational forecasts are often biased and thus the empirical finding that actual forecasts are biased is not necessarily evidence of irrational behavior using an asymmetric loss function and a regression forecasting problem these points are explicitly demonstrated

a structural time series approach to modelling multiple and resurgent meat scares in italy this paper exploits a structural time series approach to model the time pattern of multiple and resurgent food scares and their direct and cross product impacts on consumer response a structural time series almost ideal demand system sts aids is embedded in a vector error correction framework to allow for dynamic effects vec sts aids italian aggregate household data on meat demand is used to assess the time varying impact of a resurgent bse crisis 1996 and 2000 and the 1999 dioxin crisis the vec sts aids model monitors the short run impacts and performs satisfactorily in terms of residuals diagnostics overcoming the major problems encountered by the customary vector error correction approach

prices and quality effects in cross sectional demand analysis a conceptual clarification of the sources and meaning of cross sectional price variability is used to motivate a theoretical and econometric framework for the estimation of cross sectional demand functions quality effects are distinguished from supply related price variability to identify cross sectional demand for disaggregated food commodities an empirical application using data from the 1977 78 nationwide food consumption survey indicates that parameter differences resulting from a failure to adjust cross sectional prices for quality effects are likely to be small for relatively homogenous disaggregated food commodities in demand analysis with cross sectional household budget data it is usually assumed that prices are constant allen and bowley prais and houthakker george and king given this assumption engel functions are estimated where expenditure or quantity is regressed on income or total expenditures family size and other demographic characteristics the assumption that cross sectional price effects are absent or are captured adequately by spatial and temporal dummy variables has not been evaluated empirically whether cross sectional price effects can be treated in this manner has implications for the specification of cross sectional demand functions as well as the estimation of engel functions there is a considerable literature on estimating price elasticities with cross sectional data most of the applications utilize timeseries cross sectional data annual or quarterly household consumption surveys and

quality quantity and spatial variation of price this paper develops and implements a method for estimating price elasticities of demand using cross sectional household survey data geographically clustered households report unit values which when corrected for quality effects and for measurement error indicate the underlying spatial variation in prices and can be matched to variation in demand patterns a simple model of quality choice is proposed while the correction for measurement error exploits the clustered design of such surveys data from a 1979 household survey from the ivory coast are used to estimate price elasticities for beef meat fish cereals and starches copyright 1988 by american economic association

a three level static milp model for generation and transmission expansion planning we present a three level equilibrium model for the expansion of an electric network the lower level model represents the equilibrium of a pool based market the intermediate level represents the nash equilibrium in generation capacity expansion taking into account the outcomes on the spot market and the upper level model represents the anticipation of transmission expansion planning to the investment in generation capacity and the pool based market equilibrium the demand has been considered as exogenous and locational marginal prices are obtained as endogenous variables of the model the three level model is formulated as a mixed integer linear programming milp problem the model is applied to a realistic power system in chile to illustrate the methodology and proper conclusions are reached

analyzing the analysts career concerns and biased earnings forecasts this paper examines the career concerns of security analysts we relate long histories of their earnings forecasts to job separations we find that relatively accurate past forecasts lead to favorable career outcomes such as remaining at or moving up to a high status large prestigious brokerage house controlling for accuracy optimistic forecasts relative to the consensus increase the chances of favorable job separations job separations depend much less on accuracy for analysts who cover stocks that are underwritten by their brokerage houses such analysts are also much more likely to be rewarded for optimistic forecasts than other analysts furthermore job separations were much less sensitive to accuracy and somewhat more sensitive to optimism during the stock market mania of the late 1990s these findings suggest that the well documented analyst forecast optimism bias is likely due to incentives to promote stocks

measuring welfare effects of product contamination with consumer uncertainty abstract a methodology is developed for measuring consumer welfare loss from market demand due to contamination when information is imperfect comparison of behavior before and after awareness permits calculation of the cost of ignorance which occurs when news of contamination is withheld or undiscovered for a time as well as when excessive reporting and exaggeration cause overreaction avoidance costs are also calculated for consumers who consume less than they would with perfect information due to risk aversion the methodology is applied to analyzing the heptachlor crisis which reduced milk consumption in hawaii by over 80

the effect of professional advice on the stability of a speculative market the paper is motivated by the apparent inconsistency of situations in which speculators rely heavily on relatively few advisers when theory and evidence indicate that market fluctuations are predominantly random and unpredictable a highly stylized model is used to show how such situations can arise if speculators choose advisers on the basis of observed track records and how block behavior and increased market instability can result it is argued that inferences based on track records may represent a confusion of luck with skill or more formally an inappropriate choice of null hypothesis to be tested other related issues are discussed

simple solutions to the initial conditions problem in dynamic nonlinear panel data models with unobserved heterogeneity i study a simple widely applicable approach to handling the initial conditions problem in dynamic nonlinear unobserved effects models rather than attempting to obtain the joint distribution of all outcomes of the endogenous variables i propose finding the distribution conditional on the initial value and the observed history of strictly exogenous explanatory variables the approach is flexible and results in simple estimation strategies for at least three leading dynamic nonlinear models probit tobit and poisson regression i treat the general problem of estimating average partial effects and show that simple estimators exist for important special cases copyright 2005 john wiley sons ltd

a latent variable model of consumer taste determination and taste change for complex carbohydrates despite evidence that aggregate consumption of complex carbohydrates has risen over the last decade food consumption surveys suggest that fewer households are consuming less bread pasta rice potatoes and corn this paper estimates systems of complex carbohydrae demand using cross sectional data from 1977 78 and 1987 88 in order to explain this paradox changes in demand that are not explained by changes in prices or income are explained by variations in taste because tastes cannot be directly observed the paper uses a multiple indicator and multiple cause mimic model to construct a suitable proxy variable in the mimic approach the indicators are residuals from a household demand function that includes prices and incomes as explanatory variables while household and demograhic proxies are cause variables the objectives in applying the mimic model are to determine the effect of consumer tastes on complex carbohydrate demand and comparing cross sectional survey data from two different periods

optimal generation mix with short term demand response and wind penetration demand response defined as the ability of load to respond to short term variations in electricity prices plays an increasingly important role in balancing short term supply and demand especially during peak periods and in dealing with fluctuations in renewable energy supplies however demand response has not been included in standard models for defining the optimal generation technology mix three different methodologies are proposed to integrate short term responsiveness into a generation technology mix optimization model considering operational constraints elasticities are included to adjust the demand profile in response to price changes including cross price elasticities that account for load shifts among hours as energy efficiency programs also influence the load profile interactions of efficiency investments and demand response are also modeled comparison of model results for a single year optimization with and without demand response shows peak reduction and valley filling effects impacting the optimal amounts and mix of generation capacity increasing demand elasticity also increases the installed amount of wind capacity suggesting that demand response yields environmental benefits by facilitating integration of renewable energy

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

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

advertising information and product quality the case of butter this study examines the roles of cholesterol information and advertising in explaining consumption trends for fats and oils focusing on butter results suggest increased consumer awareness of the health effects of blood cholesterol has contributed to the secular decline in butter consumption in canada although consumers responses to negative information appear to outweigh their responses to positive information the industry advertising campaign launched in 1978 by the dairy bureau of canada has had a positive effect on butter demand

the nature of equilibrium in a location model models of location are appropriate in a number of contexts in economics and political science for example firms choose where to position stores and which of a spectrum of goods to produce and politicians select the nature of their platforms in such models it is natural to look for a collection of locations with the property that the location of each individual is optimal given the positions of all other individuals however the pure strategy nash equilibrium provides a solution which is both incomplete and unsatisfactory incomplete because in many cases no such equilibrium exists unsatisfactory because even when it does exist it may not be robust to the specification of the model

rational bias in macroeconomic forecasts do professional forecasters provide their true unbiased estimates or do they behave strategically in our model forecasters have common information confer actively and thus know the true pdf of future outcomes intensive users of economic forecasts monitor forecasters performance closely occasional users are drawn to the forecaster who fared best in the previous period in the resulting nash equilibrium even though economists have identical expectations they make a range of projections that mimics the true probability distribution of the forecast variable those whose wages depend most on publicity produce forecasts that differ most from the consensus empirical evidence supports the model

using survey data to test standard propositions regarding exchange rate expectations survey data provide a measure of exchange rate expectations superior to the forward rate in that no risk premium interferes we estimate extrapolative adaptive and regressive models of expectations static or random walk expectations and bandwagon expectations are rejected current appreciation generates the expectation of future depreciation because variables other than the contemporaneous spot rate receive weight in comparing expectations to the process governing the spot rate we find statistically significant bias no variable is as ubiquitous in international financial theory and yet as elusive empirically as investors expectations regarding exchange rates in the past expectations have been modeled in an ad hoc way often by using the forward exchange rate there is however a serious problem with using the forward discount as the measure of the expected change in the exchange rate in that the two may not be equal the gap that may separate the forward discount and expected depreciation is generally interpreted as a risk premium most of the large empirical literature testing the unbiasedness of the forward exchange rate for example has found it necessary either arbitrarily to assume away the existence of the risk premium if the aim

managerial incentive problems a dynamic perspective the paper studies how a person s concern for a future career may influence his or her incentives to put in effort or make decisions on the job in the model the person s productive abilities are revealed over time through observations of performance there are no explicit output contingent contracts but since the wage in each period is based on expected output and expected output depends on assessed ability an implicit contract links today s performance to future wages an incentive problem arises from the person s ability and desire to influence the learning process and therefore the wage process by taking unobserved actions that affect today s performance the fundamental incongruity in preferences is between the individual s concern for human capital returns and the firm s concern for financial returns the two need be only weakly related it is shown that career motives can be beneficial as well as detrimental depending on how well the two kinds of capital returns are aligned it is well understood by now that informational externalities may place special demands on the organization of economic exchange simple price mediated markets will frequently fail in the presence of asymmetric information in that case more elaborate contractual arrangements have to be used as substitutes for the price system lately considerable effort has been devoted to the analysis of contracting under incomplete information with the objective to understand the range of economic institutions that emerge in response to the failure of the price system the analysis of moral hazard has played a prominent role in this development moral hazard problems arise when for some reason or another transacting parties cannot contract contingent on the delivery of the good for instance in buying labour services it may be that the amount of labour supplied is not directly observable precluding a simple exchange of wage for labour as a partial remedy to this problem an imperfect mutually observed signal about the supply of labour can be used as a proxy in the contract frequently output is taken as such a proxy the drawback is that output is often influenced by other factors than labour input which induce undesirable risk into the contract one is therefore faced with a tradeoff between allocating risk associated with incomplete observability and providing incentives for a proper supply of labour gaining insight into this tradeoff is important not only for understanding contracting in the small e g managerial incentive schemes but also because it is closely related to the fundamental tension between equity and efficiency in the society as a whole while our understanding of moral hazard has advanced a lot in past years it is clear that much work remains an important question that has received little attention until

the economics of planning electricity transmission to accommodate renewables using two stage optimisation to evaluate flexibility and the cost of disregarding uncertainty abstract aggressive development of renewable electricity sources will require significant expansions in transmission infrastructure we present a stochastic two stage optimisation model that captures the multistage nature of transmission planning under uncertainty and use it to evaluate interregional grid reinforcements in great britain gb in our model a proactive transmission planner makes investment decisions in two time periods each time followed by a market response uncertainty is represented by economic technology and regulatory scenarios and first stage investments must be made before it is known which scenario will occur the model allows us to identify expected cost minimising first stage investments as well as estimate the value of information the cost of ignoring uncertainty and the value of flexibility our results show that ignoring risk in planning transmission for renewables has quantifiable economic consequences and that considering uncertainty can yield decisions that have lower expected costs than traditional deterministic planning methods in the gb case the value of information and cost of disregarding uncertainty in transmission planning were of the same order of magnitude approximately 100 m in present worth terms further the best plan under a risk neutral decision criterion can differ from the best under risk aversion finally a traditional sensitivity analysis based robustness analysis also yields different results than the stochastic model although the former s expected cost is not much higher

in search of attention in agricultural commodity markets abstract this paper investigates the impact of attention driven behaviour on agricultural commodity prices we proxy attention driven behaviour using search queries for the commodity names in google we apply the ardl model to estimate the impact of search queries on three internationally traded agricultural commodities corn wheat and soybean using weakly data for the period 2009 2015 the results show that there is causal and permanent relationship between google search queries and prices of corn and wheat confirming the presence of the attention driven behaviour however the estimates do not confirm this relationship for soybean price

why are professional forecasters biased agency versus behavioral explanations professional forecasters may not simply aim to minimize expected squared forecast errors in models with repeated forecasts the pattern of forecasts reveals valuable information about the forecasters even before the outcome is realized rational forecasters will compromise between minimizing errors and mimicking prediction patterns typical of able forecasters simple models based on this argument imply that forecasts are biased in the direction of forecasts typical of able forecasters our models of strategic bias are rejected empirically as forecasts are biased in directions typical of forecasters with large mean squared forecast errors this observation is consistent with behavioral explanations of forecast bias

federal reserve information and the behavior of interest rates this paper tests for the existence of asymmetric information between the federal reserve and the public by examining federal reserve and commercial inflation forecasts it demonstrates that the federal reserve has considerable information about inflation beyond what is known to commercial forecasters it also shows that monetary policy actions provide signals of the federal reserve s information and that commercial forecasters modify their forecasts in response to those signals these findings may explain why long term interest rates typically rise in response to shifts to tighter monetary policy jel e52 e43 d82 asymmetric information between the federal reserve and the public is a phenomenon that is often posited but rarely tested numerous models of central bank behavior for example show that the existence of asymmetric information has important implications for the effectiveness of policy and the consequences of dynamic inconsistency yet there

food scare crises and price volatility the case of the bse in spain abstract recent incidents of contaminated food products coupled with the widespread diffusion of news by mass media and the growing social concerns about food safety have resulted in significant food market crises one of the most highly publicized recent food scares involved bovine spongiform encephalopathy bse in our analysis we evaluate the impacts from a bse outbreak on the price volatility transmission along the spanish food marketing chain by using a smooth transition conditional correlation stcc garch model our work is the first to assess price volatility responses to food scares results suggest that two distinct regimes involving different price volatility behavior can be distinguished one characterized by turbulent markets and another where markets are calming down

optimal forecasting incentives an agent of unknown expertise is requested to forecast the mean of an uncertain outcome the agent can refine forecasts at a constant marginal cost per unit precision but neither cost nor precision can be verified by the planner the problem is to induce both truthful revelation and an appropriate degree of learning so as to minimize the expected sum of direct planning losses and agent payments optimal contracts are derived with and without self screening of expertise and with and without competition between agents self screening tends to be much less valuable than competition

on the possibility of informative equilibria in futures markets with feedback we study the existence of equilibria and the information content of prices in futures markets where the probability of future payoffs can be altered by an intervening agent who acts in response to the market price hence creating a feedback effect we focus on the market with the simplest possible structure traders betting on the occurrence of a future event by buying or selling arrow debreu securities one dollar claims contingent on a binary outcome we find that in the presence of feedback i a rational expectations equilibrium may not exist ii the market price may decline in response to information that is ex ante more favorable to the occurrence of the underlying event iii an equilibrium that reveals no information may obtain thus feedback from an intervening agent materially alters the way in which price responds to information and potentially undermines the viability of the market itself

market based coordination of transmission and generation capacity planning we propose an iso model for coordinating transmission expansion planning with competitive generation capacity planning in electricity markets the purpose of the model is a holistic simulation of generation and transmission capacity expansion in the market environment the solution represents an iterative process for simulating the interactions among gencos transcos and the iso which might be terminated by the iso based on a pre specified stopping criterion the proposed model adopts a joint energy and transmission auction market and a capacity mechanism the joint auction market enables competition to occur among generation and transmission resources the capacity mechanism offers incentives for market participant investments that reflect the locational values of additional capacity transmission capacity expansion decisions are made by merchant transmission lines that recover their capacity investments through transmission marginal pricing and capacity payments transmission network security is reflected in the proposed competitive resource planning model the examples illustrate a coordinated planning of generation and transmission in restructured power systems

luck versus forecast ability determinants of trader performance in futures markets statistical techniques are used to demonstrate that the fortunes of individual futures traders are determined by luck not forecast ability even though a large number of traders appear to exhibit significantly superior forecast ability the investigation strongly supports three conclusions there are fewer participants with significantly superior skill than expected if participants trade randomly there are more traders exhibiting no skill than expected if participants trade randomly and forecast ability is not correlated over time superior forecasters in the early period are only average forecasters in the later period therefore it is luck that determines trader performance copyright 1991 by university of chicago press

differential interpretation of public signals and trade in speculative markets most models of trade in speculative markets assume that agents interpret public information identically we provide empirical evidence on the relation between the volume of trade and stock returns around public announcements and we argue that the evidence is inconsistent with this assumption we then develop a model of trade around public announcements that incorporates differential interpretations and is consistent with the observed volume return relation then we test the standard model of belief revision underlying most models of trade using stock brokerage research analysts earnings forecasts the hypthesis of identical interpretations seems inconsistent with the forecast revisions in these data

economic analysis of transmission expansion planning with price responsive demand and quadratic losses by successive lp the growth of demand response programs and renewable generation is changing the economics of transmission planners and regulators require tools to address the implications of possible technology policy and economic developments for the optimal configuration of transmission grids we propose a model for economic evaluation and optimization of inter regional transmission expansion as well as the optimal response of generators investments to locational incentives that accounts for kirchhoff s laws and three important nonlinearities the first is consumer response to energy prices modeled using elastic demand functions the second is resistance losses the third is the product of line susceptance and flows in the linearized dc load flow model we develop a practical method combining successive linear programming with gauss seidel iteration to co optimize ac and dc transmission and generation capacities in a linearized dc network while considering hundreds of hourly realizations of renewable supply and load we test our approach for a european electricity market model including 33 countries the examples indicate that demand response can be a valuable resource that can significantly affect the economics location and amounts of transmission and generation investments further representing losses and kirchhoff s laws is also important in transmission policy analyses

a fresh meat almost ideal demand system incorporating negative tv press and advertising impact abstract this paper investigates fresh meat consumption in belgium during 1995 1998 through the specification of a three equation almost ideal demand system aids incorporating a media index of tv coverage and advertising expenditures as explanatory variables estimated parameters and elasticity coefficients are plausible and consistent with demand theory own price elasticities are relatively low indicating a low fresh meat demand sensitivity to price changes over this period which was dominated by mass media reports about the potential health risks associated with meat consumption the scope of the paper extends beyond the estimation of elasticity coefficients and includes the specification of a media index and simulations that provide insights into the impact of negative press relative to advertising efforts specifically the impact of television publicity is shown to have been particularly negative on beef veal expenditures in favour of pork mixture this finding corroborates expectations since mass media issues mainly pertained to bse mad cow disease and hormone residues during the investigated period with relatively little effort being undertaken and with its current strategy fresh meat advertising is found to have only a minor impact compared with negative press

a theory of yes men this paper illustrates an incentive for workers to conform to the opinion of their supervisors when firms use subjective performance evaluation this desire to conform arises endogenously from the firm s need to induce the worker to exert effort the author shows that firms may optimally eschew the use of incentive contracts to retain workers incentives for honesty the author illustrates that the incentive to conform implies inefficiencies even when workers are risk neutral and is likely to lead to more centralized decision making than in the absence of the desire to conform copyright 1993 by american economic association

differential interpretation of information in inflation forecasts we test the hypothesis associated with a standard assumption in the theoretical literature on learning that economic agents interpret information identically we use a data set based on a survey o

the strategy of professional forecasting we develop and compare two theories of professional forecasters strategic behavior the first theory reputational cheap talk posits that forecasters endeavor to convince the market that they are well informed the market evaluates their forecasting talent on the basis of the forecasts and the realized state if the market expects forecasters to report their posterior expectations honestly then forecasts are shaded toward the prior mean with correct market expectations equilibrium forecasts are imprecise but not shaded the second theory posits that forecasters compete in a forecasting contest with pre specified rules in a winner take all contest equilibrium forecasts are excessively differentiated

testing the rationality of price forecasts new evidence from panel data this paper tests the rationality of individual price forecasts in a panel of professional forecasters here unlike in most previous studies rationality is not rejected the results here differ because 1 using individual forecasts avoids aggregation bias 2 comparison of forecasts to initial data avoids bias due to data revision 3 the professional forecasters have economic incentives to state their expectations accurately and 4 a new covariance matrix estimator consistent when forecast errors are correlated across individuals is used copyright 1990 by american economic association

when managers cover their posteriors making the decisions the market wants to see the stock market has opinions as to what choices firms should make we show that concern for current share prices may lead managers to make these choices rather than those suggested by their own superior information even when arbitrarily many privately informed firms have to make a similar decision the market s prejudices may still prevail we compare the distortions that arise from share price maximization with those due to herd behavior among profit maximizing firms and show that the former results in strictly less efficient use of information

food scare crises and developing countries the impact of avian influenza on vertical price transmission in the egyptian poultry sector abstract a bivariate smooth transition vector error correction model is applied to monthly poultry price data to analyze the effects that avian influenza has had on price transmission along the egyptian poultry marketing chain in order to reflect consumer awareness of the crisis an avian influenza food scare information index is developed and used within the model as a transition variable our results suggest that price adjustments to deviations from the market equilibrium parity depend on the magnitude of the avian influenza crisis further these adjustments are found to have very different implications for market equilibrium during the crisis retailers use their market power to increase marketing margins in contrast wholesaler margins are found to decline results also suggest that food safety information indices contribute to understanding the economic effects of food scare crises in developing countries

career concerns of mutual fund managers we examine the labor market for mutual fund managers using data from 1992 1994 we find that termination is more performance sensitive for younger managers we identify possible implicit incentives created by the termination performance relationship the shape of the termination performance relationship may give younger managers an incentive to avoid unsystematic risk direct effects of portfolio composition may also give younger managers an incentive to herd into popular sectors consistent with these incentives we find that younger managers hold less unsystematic risk and have more conventional portfolios promotion incentives and market responses to managerial turnover are also studied

does food safety information impact u s meat demand a theoretical model of consumer response to publicized food safety information on meat demand is developed with an empirical application to u s meat consumption evidence is found for the existence of pre committed levels of consumption seasonal factors time trends and contemporaneous own and cross commodity food safety concerns the average demand response to food safety concerns is small especially in comparison to price effects and to previous estimates of health related issues this small average effect masks periods of significantly larger responses corresponding with prominent food safety events but these larger impacts are short lived with no apparent food safety lagged effects on food safety concerns in the united states have dramatically increased in the past decade with regard to incidences of contaminated meat products concerns have arisen because contaminated meat products can result in serious risk to the well being and health of consumers contamination comes from a myriad of sources including but not limited to outbreaks of listeria monocytogenes escherichia coli e coli and salmonella centers for disease control and prevention food safety problems are not isolated to the united states as other unsafe contaminates in meats have emerged across the world including highly publicized outbreaks of bovine spongiform encephalopathy bse in europe the potential impacts of publicized food safety events on consumer s demand for meat products in the united states include own effects on the demand for the contaminated meat involved as well as cross effects impacting the demand for other meats the objective of this article is to investigate whether publicized food safety concerns surrounding beef pork and poultry chicken and turkey have impacted meat consumption food safety indices are constructed separately for beef pork and poultry

does risk aversion affect transmission and generation planning a western north america case study abstract we investigate the effects of risk aversion on optimal transmission and generation expansion planning in a competitive and complete market to do so we formulate a stochastic model that minimizes a weighted average of expected transmission and generation costs and their conditional value at risk cvar we show that the solution of this optimization problem is equivalent to the solution of a perfectly competitive risk averse stackelberg equilibrium in which a risk averse transmission planner maximizes welfare after which risk averse generators maximize profits this model is then applied to a 240 bus representation of the western electricity coordinating council in which we examine the impact of risk aversion on levels and spatial patterns of generation and transmission investment although the impact of risk aversion remains small at an aggregate level state level impacts on generation and transmission investment can be significant which emphasizes the importance of explicit consideration of risk aversion in planning models

improved transmission representations in oligopolistic market models quadratic losses phase shifters and dc lines practical models of competition among power generators who possess market power have generally had to use simplified models of transmission costs and constraints in order to be tractable in particular the linearized dc load flow model has been popular in complementarity and other types of oligopoly models in this paper we show how such models can be generalized to include quadratic losses controllable dc lines and phase shifting transformers these generalizations preserve convexity of the feasible region a property that facilitates computation and proof of solution uniqueness and existence piecewise and successive linearization formulations are also provided that allow consideration of nonlinear losses in models that require linear constraints a simple six bus example illustrates the application of these generalizations in that example the impact of losses on prices is much greater under strategic behavior than under competition large scale applications of these approaches to markets in western north america and the european union illustrate how inclusion of nonlinear losses and controllable dc lines can affect estimates of prices flows and economic efficiency indices resulting from oligopoly models

bi level approach to distribution network and renewable energy expansion planning considering demand response this paper presents a bi level model for distribution network and renewable energy expansion planning under a demand response dr framework the role of dr has recently attracted an increasing interest in power systems however previous models have not been completely adapted in order to treat dr on an equal footing the target of the distribution network and generation planner modeled through the upper level problem is to minimize generation and network investment cost while meeting the demand this upper level problem is constrained by the lower level problem stressing the importance of integrating dr to time varying prices into those investment models the objective function considered for the lower level is the minimization of overall payment faced by the consumers using the karush kuhn tucker complementarity constraints the proposed bi level model is recast as a mixed integer linear programming problem which is solvable using efficient off the shelf branch and cut solvers detailed results from an insular case study la graciosa canary islands spain are presented

conflict of interest and the credibility of underwriter analyst recommendations brokerage analysts frequently comment on and sometimes recommend companies that their firms have recently taken public we show that stocks that underwriter analysts recommend perform more poorly than buy recommendations by unaffiliated brokers prior to at the time of and subsequent to the recommendation date we conclude that the recommendations by underwriter analysts show significant evidence of bias we show also that the market does not recognize the full extent of this bias the results suggest a potential conflict of interest inherent in the different functions that investment bankers perform

herding among security analysts the paper shows that the buy or sell recommendations of security analysts have a signi cant positive in uence on the recommendations of the next two analysts this in uence can be traced to short lived information in the most recent revisions in contrast the in uence of the prevailing consensus is not stronger if the consensus accurately forecasts subsequent stock price movements this indicates consensus herding consistent with models in which analysts herd based on little information the consensus also has a stronger in uence when market conditions are favorable the resulting poorer information aggregation could cause bull markets to be intrinsically more fragilea e g bikhchandani et al j political economy 100 5 1992 992 1026 2000 elsevier science s a all rights reserved jel classixcation g11 g14 g24

effectiveness of fluid milk advertising since the dairy and tobacco adjustment act of 1983 an econometric model pooling monthly cross sectional and time series data is estimated to measure the impact of national and regional generic fluid milk advertising the estimated model shows that the effectiveness of advertising has increased since the implementation of the dairy adjustment act gains in fluid milk sales attributed to milk advertising are estimated sales gains for both the pre and post act periods are shown along with the gains associated with parameter changes in the post act periods marginal advertising responses are derived

who forecasts better this article suggests that the emphasis on forecast evaluations should be redirected from searching for best forecasters to finding those who are better a new methodology is developed and the results indicate that it is possible to identify better forecasters

on convergence of the pies algorithm for computing equilibria equilibria in market models with continuous market supply functions can be obtained by computing fixed points with an activity analysis representation of production fixed point algorithms would converge slowly further since the market model here is of a partial equilibrium nature the market demand function may not exhibit the integratability condition precluding the formulation of the market equilibrium problem as an economic surplus maximization problem we examine an iterative algorithm the pies method for locating equilibria in markets whose production is described by optimization over a finite set of activities and whose econometric demand function does not possess the integrability property convergence properties of the algorithm along with existence and uniqueness of market equilibrium are summarized

consensus and uncertainty in economic prediction we define consensus as the degree of agreement among point predictions aimed at the same target by different individuals and uncertainty as the diffuseness of the corresponding probability distributions this distinction is made operational with the aid of the nber asa survey data on matched point and probabilistic forecasts of inflation and the rate of change in gross national product the means of the two sets of forecasts agree closely standard deviations of point forecasts tend to understate uncertainty as measured by standard deviations of the predictive probability distributions however these measures of consensus and uncertainty are on the whole positively correlated there is evidence that expectations of higher inflation generate greater uncertainty about inflation tests also favor the hypothesis that a rise in inflation uncertainty has adverse effects on real growth

information and consumer perception of the organic attribute in fresh fruits and vegetables using a double hurdle model on panel data from 3 200 danish households monthly observations for 2002 2007 we study the effects of health related media information on the demand for organic fruit and vegetables we find that negative information about pesticides contained in conventional fruit and vegetables mainly influences the probability of a consumer entering the organic market not the quantities consumed by households that are already active on the organic market positive information that links health and the consumption of organic food influences both steps of the decision process our dataset includes information about consumers media habits which allows us to disentangle the direct effects of media information from the indirect effects of this information as it is disseminated through the population our results suggest that directly obtained information is the main type of information influencing consumers while information loadings by dissemination through the population have almost no effect on consumption

large scale integration of deferrable demand and renewable energy sources we present a stochastic unit commitment model for assessing the impacts of the large scale integration of renewable energy sources and deferrable demand in power systems in terms of reserve requirements we analyze three demand response paradigms for assessing the benefits of demand flexibility the centralized co optimization of generation and demand by the system operator demand bids and the coupling of renewable resources with deferrable loads we motivate coupling as an alternative for overcoming the drawbacks of the two alternative demand response options and we present a dynamic programming algorithm for coordinating deferrable demand with renewable supply we present simulation results for a model of the western electricity coordinating council

linear complementarity models of nash cournot competition in bilateral and poolco power markets two cournot models of imperfect competition among electricity producers are formulated as mixed linear complementarity problems lcps and a simple example is presented to illustrate their application the two models simulate bilateral markets the models include a congestion pricing scheme for transmission but other transmission pricing approaches can also be represented in this framework the two models differ from each other in that one has no arbitrage between nodes of the network while in the other model arbitragers erase any noncost based differences in price the latter bilateral model turns out to be equivalent to a cournot model of a poolco the models differ from other cournot market models in that they include both of kirchhoff s laws via a dc approximation can include arbitragers possess unique solutions and are readily solved by efficient lcp algorithms the key assumption that permits their formulation as lcps is that each producer naively assumes that its output will not affect transmission prices

evaluating the impacts of real time pricing on the cost and value of wind generation one of the costs associated with integrating wind generation into a power system is the cost of redispatching the system in real time due to day ahead wind resource forecast errors one possible way of reducing these redispatch costs is to introduce demand response in the form of real time pricing rtp which could allow electricity demand to respond to actual real time wind resource availability using price signals a day ahead unit commitment model with day ahead wind forecasts and a real time dispatch model with actual wind resource availability is used to estimate system operations in a high wind penetration scenario system operations are compared to a perfect foresight benchmark in which actual wind resource availability is known day ahead the results show that wind integration costs with fixed demands can be high both due to real time redispatch costs and lost load it is demonstrated that introducing rtp can reduce redispatch costs and eliminate loss of load events finally social surplus with wind generation and rtp is compared to a system with neither and the results demonstrate that introducing wind and rtp into a market can result in superadditive surplus gains

security analysts career concerns and herding of earnings forecasts several theories of reputation and herding see e g scharfstein and stein 1990 suggest that herding among agents should vary with career concerns our goal in this paper is to document whether such a link exists in the labor market for security analysts specifically we look at the relationship between an analyst s job tenure a proxy for career concerns and various measures of stock earnings forecast performance we establish the following key results 1 older analysts are more likely to produce earnings forecasts of firms before younger ones 2 their forecasts also deviate more from the consensus forecast than their younger counterparts we argue that these results are consistent with some reputational models of herding we also establish a number of auxiliary findings regarding the relationship between forecast accuracy and frequency of forecast revisions with job tenure

herd behavior and investment comment in an influential paper david s scharfstein and jeremy c stein 1990 modeled sequential investment by agents concerned about their reputation as good forecasters consider an agent who acts after observing the behavior of another ex ante identical agent scharfstein and stein argue that reputational herding requires that better agents have more correlated signals conditionally on the state of the world they claim that without correlation the second agent would have no incentive to attempt to manipulate the market inference about ability by imitating the behavior of the first agent in this note we show that in their model correlation is not necessary for herding other than in degenerate cases our clarification exploits a parallel with statistical herding introduced by abhijit v banerjee 1992 and sushil bikhchandani et al 1992 henceforth bhw bhw feature investors who maximize expected profits in a common value environment and have access to conditionally independent private signals of bounded precision while still observing the behavior of others eventually the evidence accumulated from observing earlier decisions is sufficiently strong to swamp the private information of a single decision maker thereafter everyone rationally copies the prevailing behavior we notice that payoffs have a common value nature in both the statistical and the reputational model the observed behavior of other agents possibly affects the probability belief attached to different states of the world as well as the payoff conditional on each state herding arises from the interaction of these two channels affecting the expected payoff be it physical or reputational positive differential conditional correlation of signals in the reputational model is tantamount to the introduction of positive payoff externalities in the statistical model this reinforces the tendency to herd already present with independence the fact that differential conditional correlation is not needed for herding is a clear strength of the reputational herding model it is not necessary to assume common unpredictable components of returns at the individual level in order to rationalize the empirical findings that individual prediction errors of security analysts are correlated after setting up scharfstein and stein s model in section i we summarize their findings in section ii and provide a unified definition of herd behavior in section iii section iv contains our critique of their line of argument and clarifies the role of differential conditional correlation in section v we propose alternative robust scenarios where herding would indeed be driven by correlation section vi concludes