permanent income hedonic prices and demand for housing new evidence abstract housing demand is examined by looking quite specifically at the income and price variables based on individual household data permanent and transitory incomes are computed through instrumental variables related to human and nonhuman wealth a price is constructed by spatially varying hedonic techniques separation of measured income into permanent and transitory components substantially improves the predictive power of the housing demand estimation and leads to demand elasticities of 1 and 1 with respect to permanent income and price the permanent income elasticity is roughly twice the measured income elasticity

herding with and without payoff externalities an internet experiment most real world situations that are susceptible to herding are also characterized by direct payoff externalities yet the bulk of the theoretical and experimental literature on herding has focused on pure informational externalities in this paper we experimentally investigate the effects of several different forms of payoff externalities e g network effects first mover advantage etc in a standard information based herding model our results are based on an internet experiment with more than 6000 subjects of which more than 2400 participated in the treatments reported here including a subsample of 267 consultants from an international consulting firm we also replicate and review earlier cascade experiments finally we study reputation effects i e the influence of success models in the context of herding

the unequal geographic burden of federal taxation in the united states workers in cities offering above average wages cities with high productivity low quality of life or inefficient housing sectors pay 27 percent more in federal taxes than otherwise identical workers in cities offering below average wages according to simulation results taxes lower long run employment levels in high wage areas by 13 percent and land and housing prices by 21 and 5 percent causing locational inefficiencies costing 0 23 percent of income or 28 billion in 2008 employment is shifted from north to south and from urban to rural areas tax deductions index taxes partially to local cost of living improving locational efficiency

the value of operational flexibility in the presence of input and output price uncertainties with oil refining applications refining is indispensable to almost every natural resource based commodity industry it involves a series of complex processes that transform inputs with a wide range of quality characteristics into refined finished products sold to end markets in this paper we take the perspective of a profit maximizing refiner that considers upgrading its existing simple refinery to include intermediate conversion flexibility i e the capability of converting heavy intermediate components to light ones we present a stylized two stage stochastic programming model of a petroleum refinery to investigate the value drivers of conversion flexibility and the impact of input and output market conditions on its economic potential conversion flexibility adds value to refineries by either transforming a nonprofitable situation into a profitable one referred to as purchase benefit or improving profitability of an already profitable situation referred to as unit revenue benefit in a real data calibrated numerical study w

a productivity model of city crowdedness abstract population density varies widely across us cities a simple static general equilibrium model suggests that moderate sized differences in cities total factor productivity can account for such variation nevertheless the productivity required to sustain above average population densities considerably exceeds estimates of the increase in productivity caused by such high density in contrast increasing returns to scale may be able to sustain multiple equilibria at below average population densities

commodity storage valuation a linear optimization based on traded instruments a valuation methodology for commodity storage facilities is proposed this model utilizes traded instruments to replicate the fundamental derivative components of commodity storage facilities the methodology is robust to different commodities physical characteristics and markets for valuing these types of assets two examples using the u s natural gas markets are presented

resource flexibility with responsive pricing this article studies two types of flexibility used by firms to better respond to uncertain market conditions resource flexibility and responsive pricing we consider a situation in which a single flexible resource can be used to satisfy two distinct demand classes while the resource capacity must be decided based on uncertain demand functions the resource allocation as well as the pricing decision are made based on the realized demand functions we characterize the effects of two key drivers of flexibility demand variability and demand correlation assuming normally distributed demand curve intercepts demand variability creates opportunity costs and with fixed prices decreases the firm s profit we show that with the additional flexibility gained from responsive pricing the firm can maximize the benefits of favorable demand conditions and mitigate the effects of poor demand conditions ultimately profiting from variability positive demand correlation on the other hand remains undesirable under responsive pricing the optimal capacity of the flexible resource is always increasing in both demand variability and demand correlation this contrasts with the scenarios based on fixed prices highlighting the crucial difference that responsive pricing makes in the management of flexible resources we further quantify the value of flexibility for the firm and its customers by considering as a benchmark a firm relying on two dedicated resources the value of flexibility is most significant if the demand levels are highly variable and negatively correlated in such cases the firm benefits from demand variability due to responsive pricing while facing limited demand risk due to resource flexibility finally we endogenize the input price of the flexible resource by considering the pricing decision of the resource supplier

housing and urban location decisions in spain an econometric analysis with unobserved heterogeneity this paper examines the simultaneous individual choices in spain as regards housing tenure choice and demand and urban location decisions taking into account certain unobserved heterogeneity exhibited by individuals a multinomial mixed logit model is proposed to portray household decisions considering four different options homeownership according to the type of urbanisation of the neighbourhood high level urban property medium inferior level urban property and rural property and renting finally housing demand is estimated controlling for sample selection the results confirm that both housing tenure and urban location in addition to the unobserved heterogeneity of individuals in this context could modify appreciably housing demand estimates for both owners and renters

dynamic aspects of consumer decisions in housing markets abstract in this study we estimate a model of the joint tenure length of stay and consumption level choices of families in the housing market this is the first attempt we know of to do this type of estimation the data pertain to a single residence spell per household from the panel study of income dynamics wealthier and better educated families were found to be more mobile in terms of housing consumption after accounting for tenure choice and controlling for planned length of stay renters and owners were found to have similar demand function relationships in terms of the impacts of socioeconomic variables this confirms the notion that renters and owners are not differentiated by housing choice but simply in life cycle circumstances as to when it is optimal to own or rent

optimistic behavior when a decision bias is costly an experimental test the existence of optimism when biased decisions are costly is investigated experimentally subjects make an informed guess about an exogenously determined event the outside temperature a couple of days later payments in the control group depend only on how close the guess was to the realized temperature while payments in the treatment group also depend positively on realized temperature the data show the treatment group subjects to guess higher temperatures that is higher payments compared with the control group results thus indicate that there is optimism also when a decision bias is costly jel c91 d81 d84

optimal commodity trading with a capacitated storage asset this paper considers the so called warehouse problem with both space and injection withdrawal capacity limits this is a foundational problem in the merchant management of assets for the storage of commodities such as energy sources and natural resources when the commodity spot price evolves according to an exogenous markov process this work shows that the optimal inventory trading policy of a risk neutral merchant is characterized by two stage and spot price dependent basestock targets under some assumptions these targets are monotone in the spot price and partition the available inventory and spot price space in each stage into three regions where it is respectively optimal to buy and inject do nothing and withdraw and sell in some cases of practical importance one can easily compute the optimal basestock targets the structure of the optimal policy is nontrivial because in each stage the merchant s qualification of high selling and low buying commodity prices in general depends on the merchant s inventory availability this is a consequence of the interplay between the capacity and space limits of the storage asset and brings to light the nontrivial nature of the interface between trading and operations a computational analysis based on natural gas data shows that mismanaging this interface can yield significant value losses moreover adapting the merchant s optimal trading policy to the spot price stochastic evolution has substantial value this value can be almost entirely generated by reacting to the unfolding of price uncertainty that is by sequentially reoptimizing a model that ignores this source of uncertainty

is there an optimistic bias on betting markets bettors are subject to an optimistic bias when betting on the team they support this paper shows that this individual bias does not affect betting odds on british teams in association football soccer as it is often argued

integrated optimization of procurement processing and trade of commodities we consider the integrated optimization problem of procurement processing and trade of commodities in a multiperiod setting motivated by the operations of a prominent commodity processing firm we model a firm that procures an input commodity and has processing capacity to convert the input into a processed commodity the processed commodity is sold using forward contracts while the input itself can be traded at the end of the horizon we solve this problem optimally and derive closed form expressions for the marginal value of input and output inventory we find that the optimal procurement and processing decisions are governed by price dependent inventory thresholds we use commodity markets data for the soybean complex to conduct numerical studies and find that approximating the joint price processes of multiple output commodities using a single composite output product and using the approximate price process to determine procurement and processing decisions is near optimal compared to a myopic spread option based heuristic the optimization based dynamic programming policy provides significant benefits under conditions of tight processing capacities and high price volatilities finally we propose an approximation procedure to compute heuristic policies and an upper bound to compare the heuristic against when commodity prices follow multifactor processes

tournament incentives and asset price bubbles evidence from a field experiment abstract in this note we show at the example of an experimental stock market conducted on the occasion of the world soccer championship 2010 in south africa how tournament incentives might contribute to the formation of asset price bubbles

valuation of storage at a liquefied natural gas terminal the valuation of the real option to store liquefied natural gas lng at the downstream terminal of an lng value chain is an important problem in practice because the exact valuation of this real option is computationally intractable we develop a novel and tractable heuristic model for its strategic valuation that integrates models of lng shipping natural gas price evolution and inventory control and sale into the wholesale natural gas market we incorporate real and estimated data to quantify the value of this real option and its dependence on the throughput of an lng chain the type of price variability the type of inventory control policy employed and the level of stochastic variability in both the shipping model and the natural gas price model used in addition we develop an imperfect information dual upper bound to assess the effectiveness of our heuristic and find that our method is near optimal our approach also has potential relevance to value the real option to store other commodities in facilities located downstream from a commodity production or transportation stage such as petroleum and agricultural products chemicals and metals or the real option to store the input used in the production of a commodity such as electricity

heterogeneity of beliefs and trade in experimental asset markets we investigate the relationship between traders expectations and market outcomes with experimental asset market data the data show that those who have high price expectations buy more frequently and submit higher bids and those who hold low price expectations sell more frequently and submit lower bids traders who have more accurate expectations achieve greater earnings simulations using only belief data reproduce the pricing patterns observed in the market well indicating that the heterogeneity of expectations is a key to explaining market activity

the demand for housing in britain and population ageing microeconometric evidence the paper estimates a household s demand function for housing using household data esti mates of the price and current income elasticities are robust at about 0 4 and 0 5 respec tively independent of price and income effects there is a strong age pattern to household demand in conjunction with the age profile of household formation this pattern implies that changes in the age distribution of the population have important effects on aggregate housing demand although economic growth dominates in determining its rate of growth during the 1980s there was a dramatic boom in british house prices followed by large declines in the early 1990s while financial deregulation and rapid growth in real incomes for people in non manual occupations contributed to the rise in housing demand and prices changes in the population s age distribu tion also played a role ermisch 1990 in particular the number of people in the prime ages for first house purchase increased as a consequence of the baby boom of the 1960s the fall in birth rates during the 1970s and continued low fertility during the 1980s entail smaller numbers in these prime ages and an ageing of the population more generally what effect will these changes in the age distribution of the population in britain have on housing demand and house prices it may be possible to use aggregate data to answer this question e g in fair and dominguez 1991 but as recently stressed by stoker 1993 the most informative assessments of such distributional effects on demand come from studying individual level cross section or panel data a recent study in this vein by mankiw and weil 1989 of the us housing market experience has attracted a great deal of attention because it suggests that house prices are going to fall dramatically in the coming years because of the ageing of the population while their study estimates an age pattern of housing demand from micro data they admit it is a biased estimate and their conclusions concerning the impact of age distribution on house prices are based on a simple aggregate time series equation which omits income and other housing demand and sup ply shifters this paper takes a microeconometric approach it estimates a demand func tion for housing in britain and then examines the implications of prospective changes in the age distribution for housing demand an important by product in estimating the demand function is an estimate of the price elasticity of housing demand despite the importance of this parameter in assessing the impact of policy changes estimates of it for britain are few and existing ones are questionable because of the absence of appropriate data for its estimation

moving costs and housing demand abstract several recent housing demand studies use samples of recent movers based on the presumption that only such households are on their demand curves we find contrary to this presumption that the absolute values of the residuals from a standard housing demand equation fall with duration in the present dwelling this shows that the correlation pattern between housing and the explanatory variables at the moving date does not correspond to the average pattern over a typical housing spell we interpret this as evidence of forward looking behavior and show how it may be handled in econometric work with cross section samples

using market prices to predict election results the 1993 ubc election stock market economists believe that markets are exceptionally efficient aggregators of information this research tests this theory by asking whether markets can successfully predict uncertain outcomes specifically the ubc election stock market ubc esm was created to see if market prices could be accurate predictors of the outcome of the 1993 canadian federal election this paper presents the results of this experiment in which over 250 traders from across canada and the united states participated investing over 30 000 the structure and workings of the market are explained in some detail and the performance of the market is reviewed the market predicted the popular vote shares of the major parties very well but did less well at predicting the split of seats between the liberal and conservative parties coauthors are murray frank vasu krishnamurthy and thomas w ross

an econometric model of housing price permanent income tenure choice and housing demand abstract this paper addresses the determination of housing price permanent income tenure choice and housing demand full housing demand elasticities incorporate the interactive effects among the four stages of the model price and income have major effects in the tenure choice equation sociodemographic variables such as age have complex effects that may be lost in simpler forms of estimation

suckers are born but markets are made individual rationality arbitrage and market efficiency on an electronic futures market the iowa electronic markets are specially designed futures markets that appear to aggregate information efficiently to predict events such as election outcomes yet in theory perfect information aggregation is impossible further the markets are populated by a nonrepresentative sample of mistake prone and biased traders that is traders are prone to the behavioral anomalies predicted by behavioral finance how can this be reconciled with market efficiency here we take a first step by analyzing the behavior of two self selected types of traders dramatic differences in mistake rates across traders can help us answer the question market making traders who set prices are less mistake prone and appear to be more rational than price taking traders this highlights an important feature of markets marginal in this case market making not average traders set prices this can drive the efficiency of market prices in spite of large numbers of traders who display patently suboptimal behavior

the changing route to owner occupation the impact of borrowing constraints on young adult homeownership transitions in britain in the 1990s the reduction in young adult homeownership rates in britain in the 1990s was partly caused by demographics and partly by a shift in the income distribution most of their relative income deteriorat

hedonic markets and sorting equilibria bid function envelopes for public services and neighborhood amenities abstract hedonic regressions with house value as the dependent variable are widely used to study public services and neighborhood amenities this paper builds on the theory of household bidding and sorting across communities to derive bid function envelopes which provide a form for these regressions this approach allows for household heterogeneity and multiple amenities yields estimates of the price elasticity of amenity demand directly from the hedonic without a rosen two step procedure and provides tests of hypotheses about sorting an application to cleveland area data from 2000 yields price elasticities for school quality and neighborhood ethnic composition and supports the sorting hypotheses

supply management in multiproduct firms with fixed proportions technology this paper studies the supply management of a primary input where this input gives rise to multiple products in fixed proportions my objective is twofold first i study fixed proportions technol

internet based virtual stock markets for business forecasting the application of internet based virtual stock markets vsms is an additional approach that can be used to predict short and medium term market developments the basic concept involves bringing a group of participants together via the internet and allowing them to trade shares of virtual stocks these stocks represent a bet on the outcome of future market situations and their value depends on the realization of these market situations in this process a vsm elicits and aggregates the assessments of its participants concerning future market developments the aim of this article is to evaluate the potential use and the different design possibilities as well as the forecast accuracy and performance of vsms compared to expert predictions for their application to business forecasting after introducing the basic idea of using vsms for business forecasting we discuss the different design possibilities for such vsms in three real world applications we analyze the feasibility and forecast accuracy of vsms compare the performance of vsms to expert predictions and propose a new validity test for vsm forecasts finally we draw conclusions and provide suggestions for future research

wishes expectations and actions a survey on price formation in election stock markets abstract with error prone and biased individual traders can markets aggregate trader information and produce efficient outcomes we review election stock market evidence that suggests this does happen individual traders appear biased and error prone consistently yet these markets prove quite efficient in predicting election outcomes we also review work which documents comparable but substantially different phenomena in related laboratory markets in addition we report the results from a new laboratory session which shows how we can create particular biases that mirror those in election stock markets finally we discuss how combined laboratory and field experiments can help us understand trader market interactions

integrating long term and short term contracting in beef supply chains this paper analyzes the optimal procurement processing and production decisions of a meat processing company hereafter a packer in a beef supply chain the packer processes fed cattle to produce two beef products program premium boxed beef and commodity boxed beef in fixed proportions but with downward substitution of the premium product for the commodity product the packer can source input fed cattle from a contract market where long term contracts are signed in advance of the required delivery time and from a spot market on the spot day contract prices are taken to be of a general window form linear in the spot price but capped by upper and lower limits on realized contract price our analysis provides managerial insights on the interaction of window contract terms with processing options we show that the packer benefits from a low correlation between the spot price and product market uncertainties and this is independent of the form of the window contract although the expected revenues from processing increase in spot price variability the overall impact on profitability depends on the parameters of the window contract using a calibration based on the report by the gipsa grain inspection packers and stockyards administration 2007 gipsa livestock and meat marketing study vol 3 fed cattle and beef industries report u s department of agriculture washington dc this paper elucidates for the first time the value of long term contracting as a complement to spot sourcing in the beef supply chain our comparative statics results provide some rules of thumb for the packer for the strategic management of the procurement portfolio in particular we show that higher variability higher spot price variability product market variability and correlation increases the profits of the packer but decreases the reliance on the contract market relative to the spot market this paper was accepted by yossi aviv operations management

pricing and operational recourse in coproduction systems coproduction systems in which multiple products are produced simultaneously in a single production run are prevalent in many industries such systems typically produce a random quantity of vertically differentiated products this product hierarchy enables the firm to fill demand for a lower quality product by converting a higher quality product in addition to the challenges presented by random yields and multiple products coproduction systems often serve multiple customer classes that differ in their product valuations furthermore the sizes of these classes are uncertain employing a utility maximizing customer model we investigate the production pricing downconversion and allocation decisions in a two class stochastic demand stochastic yield coproduction system for the single class case we establish that downconversion will not occur if prices are set optimally in contrast we show that downconversion can be optimal in the two class case even if prices are set optimally we consider the benefit of postponing certain operational decisions e g the pricing or allocation rule decisions until after uncertainties are resolved we use the term recourse to denote actions taken after uncertainties have been resolved we find that recourse pricing benefits the firm much more than either downconversion or recourse allocation do implying that recourse demand management is more valuable than recourse supply management special cases of our model include the single class and two class random yield newsvendor models

commodity prices interest rates and the dollar this paper sheds light on recent fluctuations in commodity prices we investigate whether a decline in real interest rates and the us dollar contributes to higher commodity prices and whether commodity prices display overshooting behavior in response to changes in real interest rates we analyze the behavior of real prices of crude oil food metals and industrial raw materials the analysis is based on structural var models estimated on quarterly data over the period 1990q1 2007q4 our results suggest that commodity prices increase significantly in response to reductions in real interest rates moreover oil prices and prices of industrial raw materials tend to display overshooting behavior in response to such interest rate changes the evidence also suggests that a weaker dollar leads to higher commodity prices shocks to interest rates and the dollar are found to account for substantial shares of fluctuations in commodity prices

the capital gains effect in the demand for housing abstract recent concerns about speculation in housing markets have underscored the fact that housing is not only a consumption good but is also an investment asset with uncertain potential to generate capital gains we present a theoretical model of housing demand under uncertainty that captures these dual characteristics emphasis is placed on the formulation of expectations about housing prices and the role that potential capital gains may play in the demand for owner occupied housing services the model is then taken to the data econometric analysis of data from florida a state known for periodically dynamic housing markets is carried out we find that an increase in housing prices increases the demand for owner occupied housing services thus housing s role as investment asset with its potential for capital gains dominates its role as consumption good which alone would produce a downward sloping own demand curve rather than one which is upward sloping our theoretical model fully rationalizes this econometric result

production control in the face of storable raw material random supply and an outside market we study a periodic review production inventory control problem where both the supply of raw material and demand for the finished product are exogenous and random the raw material can be stored for future use can be purchased from or sold to an outside market we study both the lost sales and backlogging cases under both strict convex and linear raw material purchasing selling costs convexity of the purchasing selling cost implies that the more the firm purchases from or sells to the outside market the more expensive or less valuable the raw material becomes for all cases we find the partial characterizations for the optimal policies which all turn out to be very intuitively appealing in particular for each of the linear cost cases the optimal policy degenerates into a combination of two base stock policies one for the raw material inventory and the other for the finished product inventory

optimal control and equilibrium behavior of production inventory systems the relationship between commodity inventory and short term price variations has received considerable attention but the understanding has been limited to single stage cross sectional relation in this paper we aim to deepen our understanding of the inventory price relationship in two dimensions across time and across production stages we first examine an individual firm controlling production and two stages of inventory under uncertain input and output prices and operating costs we next establish and characterize the rational expectations equilibrium for an economy in which competitive production firms link a raw material market and a finished goods market with uncertain and price sensitive supply and demand we characterize the dynamics of inventory market price and gross margin based on theoretical analysis simulation and empirical evidence from the petroleum industry we find that inventory fluctuations lag behind price variations and the length of the lags depend on how far the inventory is from the source of the supply or demand shocks we also find that shocks are both dampened and delayed when propagating through the production stages and that shocks have a prolonged effect on inventories and prices at both stages

elections and political risk new evidence from the 2008 taiwanese presidential election abstract we examine the effects of party platforms on the economic opportunities of firms using a unique data set from a political prediction market in taiwan a country with two dominant parties whose political cleavage derives mainly from a single issue the one china principle we find that during the 2008 presidential campaign the share price of taiwanese firms with investments in the mainland responded strongly and positively to a positive electoral outlook for the kmt the party which advocates lifting caps on cross strait investment in mainland china the response is strongest for those firms who have already hit their caps

the value of flexibility in make to order systems the effect of demand correlation we consider a manufacturer of mass customized modular products who orders components under demand uncertainty and sets prices produces to order and trades excess components in a secondary market after this uncertainty is resolved the sequence of events reflects in a parsimonious fashion the considerable reduction in demand uncertainty between the procurement stage and the selling season typical of industries with long supply lead times and short product life cycles we prove that in contrast to conventional wisdom the value of production flexibility and expected profit increase with demand correlation if and only if commonality between the corresponding products does not exceed a threshold we also prove that the value of flexibility and expected profit may each increase or decrease with demand variability depending on demand correlations and component commonalities across the entire product line finally we prove that when demand shocks are independent the optimal product prices are positively correlated if and only if the degree of commonality between the corresponding products exceeds a threshold

incentives for subjects in internet experiments abstract providing incentives to subjects in internet experiments can be tricky one simple method is a high score as in computer games we test whether high scores provide adequate incentives in comparison to the usual performance based incentives we find significant differences

prediction markets in the laboratory prediction markets are becoming an ever more popular method for aggregating disparate information companies use prediction markets to forecast sales release dates and other internal activities recently several well known economists have argued that government ought to eliminate impediments to unleashing the power of prediction markets broadly this survey paper looks at the laboratory experiments which provide part of the scientific justification for using prediction markets these systems work because people who have private knowledge can use this insider information in the market but doing so causes the price to reflect these data starting with early experiments that show markets can under certain circumstances aggregate information we discuss the robustness of prediction markets to various design features we also discuss places where performance does not match rhetoric and briefly look at experimental comparisons of alternative information aggregating institutions another issue consistently raised regarding the implementation of prediction markets is the degree to which traders can manipulate prices and thus the information gleaned by following a series of experiments on manipulation we present the circumstances that are and are not sufficient for manipulation attempts to be successful finally we offer suggestions on where we believe future experiments are needed in this area

co production processes with random yields in the semiconductor industry a wide variety of manufacturing operations can be characterized as co production with substitutable demand that is there are many situations in which the availability of two or more items are related and because of randomness in either supply or demand it can be advantageous to substitute one of these items for another our research was motivated by the semiconductor industry where chips are produced in large batches because of the presence of randomness in the process individual chips in a given batch can perform differently because some customers have stricter specifications than others chips within the same batch can be classified and sold as different products according to their measurable performance we model the production and inventory problem as a stochastic dynamic program in which the objective is to minimize the costs of meeting contractual obligations after developing heuristic methods of solving the problem in practice we validate them against a lower bound on the cost of an optim

operational flexibility and financial hedging complements or substitutes we consider a firm that invests in capacity under demand uncertainty and thus faces two related but distinct types of risk mismatch between capacity and demand and profit variability whereas mismatch risk can be mitigated with greater operational flexibility profit variability can be reduced through financial hedging we show that the relationship between these two risk mitigating strategies depends on the type of flexibility product flexibility and financial hedging tend to be complements substitutes i e product flexibility tends to increase decrease the value of financial hedging and vice versa financial hedging tends to increase decrease the value of product flexibility when product demands are positively negatively correlated in contrast to product flexibility postponement flexibility is a substitute to financial hedging as intuitively expected although our analytical results assume perfect flexibility and perfect hedging and rely on a linear approximation of the value of hedging we validate their robustness in an extensive numerical study

markets as information gathering tools the academic literature wall street commentary and even daily news reporting reflect a belief that markets can anticipate events the current movements in the stock market are interpreted as reflecting the likelihood that the federal reserve system will change interest rates futures markets are interpreted as reflecting the best estimates of things to come movements in individual stock prices are thought to anticipate earnings reports or the probability of a merger or buyout if we want to know about future weather in the south we should study the orange juice futures the academic journals are filled with the concept of rational expectations in which current prices are supposed to reflect the sum of all knowledge in the system prices according to this theory are a statistic that indicates the aggregation of information about underlying states of the economy those who are outsiders to the information in the system become insiders by simply observing the economic activity

estimating equilibrium housing demand for stayers abstract this study models demand by owner occupied housing stayers most consumers do not move routinely in response to small changes in income or housing price so the own rent and move stay decisions are modeled as multiperiod optimization in the presence of transaction costs the empirical section uses the american housing survey to provide a panel of household stayers for a metropolitan area results indicate that income and value rent measures in different years have separable and significant impacts on housing demand estimated conditional income elasticities are between 0 40 and 0 45

information and efficiency in political stock markets using computerized markets to predict election results this study concentrates on four computerized political markets in germany between 1990 and 1998 while this new method for the prediction of election events worked quite well in the usa it did not perform as well in germany searching for the causes of this distinction it is shown that in contrast to the findings of forsythe et al 1992 i extraordinary profits were achieved less by people who took advantage of other people s anomalies than by those people who acquired an advantage from the existence of asymmetric information ii the marginal trader hypothesis does not hold when applied to german markets and that iii traders relied on public opinion polls it is argued that these distinctions are caused by the differences in the german and the us voting systems additionally it is shown that to a certain extent iv election markets were able to predict the contemporary mood of the electorate without the help of public opinion polls v first of all the informed traders used public opinion pol