a dynamic real option based investment model for renewable energy portfolios this work proposes a dynamic model to devise the optimal risk averse investment policy in a portfolio of complementary renewable sources for a generation company in the brazilian power system the proposed method merges a static energy contracting model based on a hybrid robust and stochastic optimization approach with a mean reverting binomial lattice model for real option valuation the proposed merge extends previous works by providing support to risk averse investment decisions in complementary renewable sources dynamically distributed over time the most important results of the model are how much capacity to invest or build from each renewable source how much to sell from the energy portfolio in bilateral contracts and the optimal timing to invest unlike previous reported works our model takes into account three classes of uncertainties simultaneously renewable production of candidate sources and prices in the spot and contract markets a case study with realistic data from the brazilian power system is presented to illustrate the value of our model

investment and market dominance we analyze a model of oligopolistic competition with ongoing investment special cases include incremental investment patent races learning by doing and network externalities we investigate circumstances under which a firm with low costs or high quality will extend its initial lead through investments to this end we derive a new comparative statics result for general games with strategic substitutes which applies to our investment game finally we highlight plausible countervailing effects that arise when investments of leaders are less effective than those of laggards or in dynamic games when firms are sufficiently patient

optimal investments in power generation under centralized and decentralized decision making this work presents a novel model for optimization of investments in new power generation under uncertainty the model can calculate optimal investment strategies under both centralized social welfare and decentralized profit objectives the power market is represented with linear supply and demand curves a stochastic dynamic programming algorithm is used to solve the investment problem where uncertainty in demand is represented as a discrete markov chain the stochastic dynamic model allows us to evaluate investment projects in new base and peak load power generation as real options and determine optimal timing of the investments in a case study we use the model to compare optimal investment strategies under centralized and decentralized decision making a number of interesting results follow by varying the assumptions about market structure and price response on the demand side

the optimal mechanism for selling to a budget constrained buyer abstract this paper finds an optimal mechanism for selling a good to a buyer who may be budget constrained we consider a seller with one unit of a good facing a buyer with a quasilinear utility function if the buyer does not face a binding budget constraint textbook monopoly pricing is optimal by contrast the possibility of a binding budget constraint can make it optimal for the seller to use nonlinear pricing to commit to a declining price sequence to require the buyer to disclose his budget or to offer financing journal of economic literature classification numbers c70 d42 d45 d89 l12

multiple object auctions with budget constrained bidders in the last few years governments in many parts of the world have aggressively sought to privatize socially held assets this wave of privatization has included the sale of industrial enterprises in the former soviet union and eastern europe the sale of public transportation systems in britain and scandinavia and the sale of radio spectra in the u s both the enormity and the importance of these sales have naturally led to an examination of how best to accomplish this task auctions have been proposed and have frequently been used as time honoured convenient and attractive mechanisms for such sales this in turn has led to a revival of interest in the theory of auctions particularly those involving multiple objects the magnitude of these privatization sales has meant that in many instances it is realistic to consider that buyers may run up against liquidity or borrowing constraints the presence of these financial constraints introduces important differences into traditional auction theory for instance pitchik and schotter 1986 and che and gale 1996 1998 have shown that when bidders are subject to such constraints the conclusion of the celebrated revenue equivalence theorem no longer holds when multiple objects are auctioned in the presence of budget constraints it may be advantageous for a bidder to bid aggressively on one object with a view to raising the price paid by his rival and depleting his budget so that the second object may then be obtained at a lower price in effect a bidder may wish to raise a rival s costs in one market in order to gain advantage in another thus unlike in traditional auction theory a particular bidder s payoff is affected by the price paid by a rival bidder it is important to note that this effect comes into play only when several objects are sold

rent seeking and rent dissipation a neutrality result abstract we consider rent seeking contests between at least two agents who might value the prize differently we capture a wide range of institutional aspects of contests by analyzing a class of contest success functions fulfilling several properties the main properties are anonymity and a condition on the elasticity of a rent seeker s win probability with respect to her effort we show the existence of a mixed strategy equilibrium and establish equilibrium payoffs in this equilibrium complete rent dissipation holds our results imply a partial robustness result for the all pay auction

caps on political lobbying the cost of political campaigns in the u s has risen substantially in recent years for example real spending on congressional election campaigns doubled between 1976 and 1992 steven d levitt 1995 there are many reasons why increased campaign spending might be socially harmful first increased spending means increased fund raising which may keep politicians from their legislative duties 1 second a lobbyist who makes a large campaign contribution may have undue influence on electoral outcomes on the shaping of legislation or on the outcome of regulatory proceedings 2 that is the socially preferred candidate or legislation may not prevail likewise a lobbyist involved in a regulatory matter or a competition for a government contract may benefit unduly from a legislator s intervention 3 third a perception that campaign contributions purchase influence may lead to increased tolerance of corruption in the private sector a desire to control campaign spending has spawned many initiatives to limit both campaign contributions and spending beginning with the passage of the federal election campaign act feca political action committees pacs can contribute at most 5 000 per election to a candidate while individuals can contribute at most 1 000 restrictions have also been put on in kind contributions making it more difficult to circumvent these limits 4 while direct restrictions on campaign spending have proven difficult to implement recent initiatives aim to impose voluntary spending limits and stricter limits on contributions 5 despite the existing legislation and the proposals to limit contributions little is known about the impact of contribution limits on aggregate expenditures while it is intuitively appealing that aggregate expenditures would drop we challenge that intuition here we study a lobbying game and show that a cap on individual lobbyists expenditures may have the perverse effect of increasing aggregate expenditures and loweri this abstract was borrowed from another version of this item

does resorting to online dispute resolution promote agreements experimental evidence abstract this paper presents an experiment performed to test the properties of an innovative bargaining mechanism called automated negotiation used to resolve disputes arising from internet based transactions the main result shows that the settlement rule tends to chill bargaining as it creates incentives for individuals to misrepresent their true valuations which implies that automated negotiation is not able to promote agreements however this perverse effect depends strongly on the conflict situation when the threat that a disagreement occurs is more credible the strategic effect is reduced since defendants are more interested in maximizing the efficiency of a settlement than their own expected profit the implications of these results are then used to discuss the potential role of public regulation and reputation mechanisms in cyberspace

risk neutral and risk averse approaches to multistage renewable investment planning under uncertainty abstract strategies for investing in renewable energy projects present high risks associated with generation and price volatility and dynamics existing approaches for determining optimal strategies are based on real options theory that often simplify the uncertainty process or on stochastic programming approaches that simplify the dynamic aspects in this paper we bridge the gap between these approaches by developing a multistage stochastic programming approach that includes real options such as postponing hedging with fixed forward contracts and combination with other sources the proposed model is solved by a procedure based on the stochastic dual dynamic programming sddp method the framework is extended to the risk averse setting a specific case study in investment in hydro and wind projects in the brazilian market is used to illustrate that the investment strategies generated by the proposed approach are efficient

auctions development and privatization efficient auctions with liquidity constrained buyers abstract we exhibit an efficient auction an auction for which the winner is the buyer with the highest valuation subject to the constraint that buyers may be budget or liquidity constrained

strategic generation capacity expansion planning with incomplete information to study the competitive behavior among individual generating companies gencos an incomplete information game model is proposed in this paper in which each genco is modeled as an agent each agent makes strategic generation capacity expansion decisions based on its incomplete information on other gencos the formation of this game model falls into a bi level optimization problem the upper level of this problem is the gencos own decision on optimal planning strategies and energy reserve bidding strategies the lower level problem is the iso s market clearing problem that minimizes the cost to supply the load which yields price signals for gencos to calculate their own payoffs a co evolutionary algorithm combined with pattern search is proposed to optimize the search for the nash equilibrium of the competition game with incomplete information the nash equilibrium is obtained if all gencos reach their maximum expected payoff assuming the planning strategies of other gencos remain unchanged the physical withholding of capacity is considered in the energy market and the herfindahl hirschman index is utilized to measure the market concentration the competitive behaviors are analyzed in three policy scenarios based on different market rules for reserve procurement and compensation

asymmetric all pay auctions with incomplete information the two player case abstract we prove existence and uniqueness of bayesian equilibrium for a class of generally asymmetric all pay auctions with incomplete information due to its importance in applications some prominence is given to the first price all pay auction for which a detailed characterization of equilibrium and an approximation to equilibrium of its well studied complete information version are supplied furthermore we relate our uniqueness result to the well known multiplicity of equilibria in the war of attrition second price all pay auction which emerges as a limit point of the class of two player auction games considered journalof economic literature classification numbers d44 c62 c72

wind power investment a benders decomposition approach investment in wind power facilities involves a high level of uncertainty to properly model such uncertainty we consider a large number of scenarios and formulate this investment problem as a mathematical program with equilibrium constraints the target of this problem is to maximize the profit from wind power investment in a target year and it is subject to complementarity constraints describing a large number of market clearing conditions since the profit as a function of the investment variables has as sufficiently convex envelope the considered problem can be solved by benders decomposition thus we propose describe and analyze a benders decomposition algorithm to efficiently tackle the wind power investment problem

standard auctions with financially constrained bidders we develop a methodology for analyzing the revenue and efficiency performance of auctions when buyers have private information about their willingness to pay and ability to pay we then apply the framework to scenarios involving standard auction mechanisms in the simplest case where bidders face absolute spending limits first price auctions yield higher expected revenue and social surplus than second price auctions the revenue dominance of first price auctions over secondprice auctions carries over to the case where bidders have access to credit these rankings are explained by differences in the extent to which financial constraints bind in different auction formats

a model of the evolution of duopoly does the asymmetry between firms tend to increase or decrease this paper is an attempt to identify some of the factors that affect the evolution of market structure in a model of dynamic competition between two firms the stochastic evolution of the state of competition depends on the respective effort rates of the firms the question is whether the current leader works harder than the laggard does the gap between firms tend to increase or decrease we show that several effects are at work the state tends to evolve in the direction where joint payoffs are greater since joint payoffs are related to joint product market profits less joint effort costs there are two classes of effect the joint profit effect and various joint cost effects the latter result in part from the pattern of profits and in part from endpoint effects that give relief from efforts asymptotic expansions illuminate these influences moreover we show by numerical simulation that there is another kind of joint cost effect the pattern of joint effort costs can influence the pattern of evolution of market structure and the evolution of the pattern of market structure can influence the pattern of efforts in a mutually self reinforcing manner in particular there may be equilibria in which this last effect means that the laggard works harder than the leader even though all the other effects work in favour of the leader

a model of money with multilateral matching we develop a model of decentralized monetary exchange to examine the distributional effects of inflation across heterogeneous agents the agents have private information about their productivity preferences or money holdings matching is multilateral and each seller is visited by a stochastic number of buyers the good is allocated according to a second price auction in money in equilibrium homogeneous buyers hold different amounts of money leading to price dispersion we find the closed form solution for the distribution of money holdings entry of sellers is suboptimal except at the friedman rule inflation acts as a regressive tax

expected revenue of all pay auctions and first price sealed bid auctions with budget constraints we show that all pay auctions dominate first price sealed bid auctions when bidders face budget constraints this ranking is explained by the fact that budget constraints bind less frequently in the all pay auctions which leads to more aggressive bidding in that format

generation capacity expansion in energy markets using a two level game theoretic model with a significant number of states in the u s and countries around the world trading electricity in restructured markets a sizeable proportion of capacity expansion in the future will have to take place in market based environments however since a majority of the literature on capacity expansion is focused on regulated market structures there is a critical need for comprehensive capacity expansion models targeting restructured markets in this research we develop a two tier matrix game model and a novel solution algorithm that incorporates risk due to volatilities in profit via cvar intended for use by generators to make multi period multi player generation capacity expansion decisions we demonstrate the applicability of the model using a sample network from power world software and analyze the results

the learning curve market dominance and predatory pricing sufficient conditions for id and iid are given in the case of two step learning in which a firm reaches the bottom of its learning curve after just two sales however examples are also constructed for the two step learning case in which neither id nor iid holds it is also shown that in equilibrium iid implies that learning is privately disadvantageous although it is socially advantageous finally introducing avoidable fixed costs and possible exit into the model yields a new theory of predatory pricing based on the learning curve hypothesis

perfect equilibria in budget constrained sequential auctions an experimental study this article presents an experimental study of bidding behavior in sequential auctions in which there are budget constraints and perfect information our experiments test both the properties of such auctions and the predictive power of a refinement of the nash equilibrium concept we find that budget constraints affect the behavior of bidders and that the trembling hand perfect equilibrium is generally a good predictor of prices

tie breaks and bid caps in all pay auctions we revisit the complete information all pay auction with bid caps introduced by che and gale 1998 dropping their assumption that tie breaking must be symmetric any choice of tie breaking rule leads to a dierent set of nash equilibria compared to the optimal bid cap of che and gale we obtain that in order to maximize the sum of bids the designer prefers to set a less restrictive bid cap combined with a tie breaking rule which slightly favors the weaker bidder moreover the designer is better o breaking ties deterministically in favor of the weak bidder than symmetrically except when bidding costs are strongly convex jel classication d72 d44

learning by doing organizational forgetting and industry dynamics learning by doing and organizational forgetting have been shown to be important in a variety of industrial settings this paper provides a general model of dynamic competition that accounts for these economic fundamentals and shows how they shape industry structure and dynamics previously obtained results regarding the dominance properties of flrms pricing behavior no longer hold in this more general setting we show that forgetting does not simply negate learning rather learning and forgetting are distinct economic forces in particular a model with learning and forgetting can give rise to aggressive pricing behavior market dominance and multiple equilibria whereas a model with learning alone cannot

strategic wind power investment this paper considers the problem of identifying the optimal investment of a strategic wind power investor that participates in both the day ahead da and the balancing markets this investor owns a number of wind power units that jointly with the newly built ones allow it to have a dominant position and to exercise market power in the da market behaving as a deviator in the balancing market in which the investor buys sells its production deviations the model is formulated as a stochastic complementarity model that can be recast as a mixed integer linear programming milp model a static approach is proposed focusing on a future target year whose uncertainties pertaining to demands wind power productions and balancing market prices are precisely described the proposed model is illustrated using a simple example and two case studies

identification and estimation of auction models with unobserved heterogeneity in many procurement auctions the bidders unobserved costs depend both on a common shock and on idiosyncratic private information assuming a multiplicative structure i derive sufficient conditions under which the model is identified and propose a non parametric estimation procedure that results in uniformly consistent estimators of the cost components distributions the estimation procedure is applied to data from michigan highway procurement auctions private information is estimated to account for 34 of the variation in bidders costs it is shown that accounting for unobserved auction heterogeneity has important implications for the evaluation of the distribution of rents efficiency and optimal auction design

risk constrained multi stage wind power investment when deciding on wind power investments three major issues arise the production variability and uncertainty of wind facilities the eventual future decline in wind power investment costs and the significant financial risk involved in such investment decisions recognizing the above important issues this paper proposes a risk constrained multi stage stochastic programming model to make optimal investment decisions on wind power facilities along a multi stage horizon the proposed model is illustrated using a clarifying example and a case study

increasing competition and the winner s curse evidence from procurement we assess empirically the effects of the winner s curse which in common value auctions counsels more conservative bidding as the number of competitors increases first we construct an econometric model of an auction in which bidders preferences have both common and private value components and propose a new monotone quantile approach which facilitates estimation of this model second we estimate the model using bids from procurement auctions held by the state of new jersey for a large subset of these auctions we find that median procurement costs rise as competition intensifies in this setting then asymmetric information overturns the common economic wisdom that more competition is always desirable

strategic generation investment using a complementarity approach this paper provides a methodology to assist a strategic producer in making informed decisions on generation investment a single target year is considered with demand variations modeled through blocks the strategic behavior of the producer is represented through a bilevel model the upper level considers both investment decisions and strategic production actions and the lower level corresponds to market clearing prices are obtained as dual variables of power balance equations rival uncertainties on offering and investment are characterized through scenarios the resulting model is a large scale mixed integer lp problem solvable using currently available branch and cut techniques results pertaining to an illustrative example and a case study are reported and discussed

generation capacity expansion in liberalized electricity markets a stochastic mpec approach this paper proposes a bilevel model to assist a generation company in making its long term generation capacity investment decisions considering uncertainty regarding the investments of the other generation companies the bilevel formulation allows for the uncoupling of investment and generation decisions as investment decisions of the single investing generation company are taken in the upper level with the objective to maximize expected profits and generation decisions by all companies are considered in the lower level the lower level represents the oligopolistic market equilibrium via a conjectured price response formulation which can capture various degrees of strategic market behavior like perfect competition the cournot oligopoly and intermediate cases

transmission expansion in an oligopoly considering generation investment equilibrium abstract transmission expansion planning tep is a sophisticated decision making problem especially in an oligopolistic electricity market in which a number of strategic price maker producers compete together a transmission system planner who is in charge of making tep decisions requires considering the future generation investment actions however in such an oligopolistic market each producer makes its own strategic generation investment decisions this motivates the transmission system planner to consider the generation investment decision making problem of all producers within its tep model the strategic generation investment problem of each producer can be represented by a complementarity bi level model the joint consideration of all bi level models one per producer characterizes the generation investment equilibrium that identifies the future evolution of generation investment in the market this paper proposes a tri level tep decision making model to be solved by the transmission system planner whose objective is to maximize the social welfare of the market minus the expansion costs and whose constraints are the transmission expansion limits as well as the generation investment equilibrium problem this model is then recast as a mixed integer linear programming problem and solved numerical results from an illustrative example and a case study based on the ieee 14 bus test system demonstrate the usefulness of the proposed approach

contracting strategies for renewable generators a hybrid stochastic and robust optimization approach we present a new methodology to support an energy trading company etc to devise contracting strategies under an optimal risk averse renewable portfolio the uncertainty in the generation of renewable energy sources is accounted for by exogenously simulated scenarios as is customary in stochastic programming however we recognize that spot prices largely depend on unpredictable market conditions making it difficult to capture its underlying stochastic process which challenges the use of fundamental approaches for forecasting under such framework industry practices make use of stress tests to validate portfolios we then adapt the robust optimization approach to perform an endogenous stress test for the spot prices as a function of the buy and sell portfolio of contracts and renewable energy generation scenarios the optimal contracting strategy is built through a bilevel optimization model that uses a hybrid approach mixing stochastic and robust optimization the proposed model is flexible to represent the traditional stochastic programming approach and to express the etc s uncertainty aversion in the case where the price distribution cannot be precisely estimated the effectiveness of the model is illustrated with examples from the brazilian market where the proposed approach is contrasted to its stochastic counterpart and both are benchmarked against observed market variables

generation expansion planning with large amounts of wind power via decision dependent stochastic programming power generation expansion planning needs to deal with future uncertainties carefully given that the invested generation assets will be in operation for a long time many stochastic programming models have been proposed to tackle this challenge however most previous works assume predetermined future uncertainties i e fixed random outcomes with given probabilities in several recent studies of generation assets planning e g thermal versus renewable new findings show that the investment decisions could affect the future uncertainties as well to this end this paper proposes a multistage decision dependent stochastic optimization model for long term large scale generation expansion planning where large amounts of wind power are involved in the decision dependent model the future uncertainties are not only affecting but also affected by the current decisions in particular the probability distribution function is determined by not only input parameters but also decision variables to deal with the nonlinear constraints in our model a quasi exact solution approach is then introduced to reformulate the multistage stochastic investment model to a mixed integer linear programming model the wind penetration investment decisions and the optimality of the decision dependent model are evaluated in a series of multistage case studies the results show that the proposed decision dependent model provides effective optimization solutions for long term generation expansion planning

budget constrained sequential auctions with incomplete information i study a budget constrained private valuation sealed bid sequential auction with two incompletely informed risk neutral bidders in which the valuations and income may be non monotonic functions of a bidder s type multiple equilibrium symmetric bidding functions may exist that differ in allocation efficiency and revenue the sequence of sale affects the competition for a good and therefore also affects revenue and the prices of each good in a systematic way that depends on the relationship among the valuations and incomes of bidders the sequence of sale may affect prices and revenue even when the number of bidders is large relative to the number of goods if a particular good say is allocated to a strong bidder independent of the sequence of sale then auction revenue and the price of good are higher when good is sold first

bidding with securities auctions and security design we study security bid auctions in which bidders compete for an asset by bidding with securities that is they offer payments that are contingent on the realized value of the asset being sold the value depends on investment by the winner thus creating the possibility of moral hazard such auctions are commonly used both formally and informally in formal auctions the seller generally restricts bids to an ordered set such as an equity share or royalty rate by restricting the bids standard auction formats such as first and second price auctions can be used in informal settings with competing buyers the seller does not commit to a mechanism upfront rather bidders offer securities and the seller chooses the most attractive bid based on his beliefs ex post we characterize equilibrium payoffs and bidding strategies in this setting and show that an informal mechanism yields the lowest possible revenues across all mechanisms we also determine the optimal formal mechanism and show that the security design is more important than the auction format we show that the revenue equivalence principle that expected revenues are independent of the auction format holds if the set of permissible securities is ordered and convex such as equity otherwise it need not hold for example when bidders offer standard debt securities a second price auction is superior on the other hand if bidders compete on the conversion ratio of convertible debt a first price auction yields higher revenues finally we examine how different forms of moral hazard impact our results

the dynamics of bidding markets with financial constraints we develop a model of bidding markets with financial constraints a la che and gale 15 in which two firms choose their budgets optimally and we extend it to a dynamic setting over an infinite horizon we provide three main results for the case in which the exogenous cash flow is not too large and the opportunity cost of budgets is positive but arbitrarily low first firms keep small budgets and markups are high most of the time second the dispersion of markups and money left on the table across procurement auctions hinges on differences both endogenous and exogenous in the availability of financial resources rather than on significant private information third we explain why the empirical analysis of the size of markups based on the standard auction model may have a bias downwards or upwards positively correlated with the availability of financial resources a numerical example illustrates that our model is able to generate a rich set of values for markups bid dispersion and concentration

high bids and broke winners abstract this paper analyzes auctions where budget constrained bidders have options to declare bankruptcy it predicts a bidding equilibrium that changes discontinuously in a borrowing rate available to bidders when the borrowing rate is above a threshold high budget bidders win and the likelihood of bankruptcy is low when the borrowing rate is below the threshold the winner is the most budget constrained bidder and is most likely to declare bankruptcy this result explains the high bids and broke winners anomaly in the c block fcc spectrum auction based on its equilibrium analysis the paper proves that a seller can profit from offering to finance the highest bidder at a below market interest rate even with default risk journal of economic literature classification numbers d44 d45 d82 g33 l96

capacity dynamics and endogenous asymmetries in firm size empirical evidence suggests that there are substantial and persistent differences in the sizes of firms in most industries we propose a dynamic model of capacity accumulation that is consistent with the observed facts the model highlights the mode of product market competition and the extent of investment reversibility as key determinants of the size distribution of firms in an industry in particular if firms compete in prices and the rate of depreciation is large then the industry moves toward an outcome with one dominant firm and one small firm industry dynamics in this case resemble a preemption race contrary to the usual intuition this preemption race becomes more brutal as investment becomes more reversible