Using Experiments to Inform the Movement Towards Privatization and Deregulation by Chris Trayhorn, Publisher of mThink Blue Book, January 15, 2002 The Computer-Based Laboratory From Experiment to Application Electronic trading (now commonly known as e-commerce) in the experimental laboratory began at the University of Arizona in 1976 when Arlington Williams (1980) conducted the initial experiments testing the first electronic “double auction” trading system that he had programmed on the Plato operating system. The term “double auction” refers to the oral bid-ask sequential trading system in use since the 19th century for stock and commodity trading on the organized exchanges. This system of trading has been used in economics experiments since mid-century, and is extremely robust in yielding convergence to competitive equilibrium outcomes (Smith 1962, 1982). Since information on what buyers are willing to pay and sellers are willing to accept is dispersed and strictly private in these experiments, the convergence results have been interpreted (Smith, 1982b) as supporting Hayek’s thesis “… that the most significant fact about this (price) system is the economy of knowledge with which it operates, or how little the individual participants need to know in order to be able to take the right action” (Hayek, 1945, pp 526-527). As with all first efforts at automation, the software developed by Williams allowed double auction trading experiments that had previously kept manual records of oral bids, asks and trades to be computerized.1 That is, it facilitated real-time public display of participant messages, recording of data, and greater experimental control of a process defined by pre-existing tech nology. It did not modify that technology in fundamental ways. This event unleashed a discovery process commonplace in the history of institutional change: the joining of a new technology to an incumbent institution causes entirely new, heretofore unimaginable institutions to be created spontaneously as individuals are motivated to initiate procedural changes in the light of the new technology. Electronic exchange makes it possible to vastly reduce transactions cost — the time and search costs required to match buyers and sellers and to negotiate trades, including agreements to supply transportation and other support services. More subtly, it enabled this matching to occur on vastly more complicated message spaces and allowed optimization and other processing algorithms to be applied to messages, facilitating efficient trades among agents that had been too costly to be consummated with older technologies. Moreover, resource allocation problems thought to require hierarchical command and control forms of coordination, as in regulated pipeline and electric power networks, became easily susceptible to self-regulation by entirely new decentralized pricing and property right regimes. Coordination economies in complex networks could be achieved at low transactions cost by independent agents, with dispersed information, and integrated by a computerized market mechanism. This realization then laid the basis for a new class of experiments in which the laboratory is used to test-bed proposed new market mechanisms, enabling a better understanding of how such mechanisms might function in the field, and to create a demonstration and training tool for potential participants and practitioners who become part of the “proving” process. Of course, once adopted, this modification and proving process continues in light of field experience. We provide a short history of the application of the conception of smart computer-assisted markets to the design of electricity markets in the United States and abroad. The Privatization/Deregulation2 Movement: The Arizona Utility Study In 1984 the Arizona Corporation Commission contracted with the University of Arizona experi mental economics group to study alternatives to rate-of- return regulation of the utilities, with particular emphasis on electric power. The study consisted of two parts: incentive regulation (Cox and Isaac, 1986) and deregulation (Rassenti and Smith, 1986. Also see Block et al., 1985). Only the second part will be discussed here, since this was the study that led to a long and continuing research program, encouraged by the privatization/decentralization movement abroad, and most recently in the United States. Recommendations The deregulation portion of the study led to many detailed recommendations that can be briefly summarized in the following key points (see Rassenti and Smith, 1986): 1. The energy (generation) and wires (transmission and distribution) businesses would be separated, with generator plants (gencos) spun off from parent-integrated utilities through the issue of separate ownership shares to form independent companies. 2. An economic dispatch center would be formed that would operate a computerized spot auction market for determining prices and allocations based upon hourly location- (node-) specific offer price schedules submitted by gencos. The spot market would be constituted so as to facilitate and incentivize the eventual inclusion of demand-side bidding by discos (distribution companies and any other commercial and industrial bulk or wholesale buyers). Thus, ultimately and ideally, prices would be determined in an hourly two-sided auction in which discos would submit location-specific bids to buy energy delivered to their location just as gencos would submit offers to inject energy at their respective locations on the grid. 3. Discos and transcos (transmission companies) would not be protected by exclusive franchise permits, and would be subjected to the price discipline of potential, if not actual, entry. 4. Important functions of existing institutions would be preserved but operate through a computerized spot market bidding mechanism based on decentralized ownership of gencos. By “existing institutions” we referred to optimization — historically, computerized dispatch based on the engineering cost characteristics of generators and the network of integrated utilities — joint ownership by utilities of shared transmission capacity, and power pooling rules for security (spinning) reserves. In the proposed competitive re-organization, optimization algorithms would not be applied to production and transmission “cost” as in the regulated, hierarchical, integrated utility, but to the offer supply schedules and bid demand schedules submitted to the computer- dispatch center. The algorithms would maximize the gains from exchange (rather than minimize engineering cost as under regulation) in response to the real-time decisions of all buyers and sellers in the wholesale market. This specification was motivated by the recognition that: (a) supply cost is subjective and measured by the willingness to accept payment for energy produced on location; and (b) demand is subjective and measured by the willingness to pay for delivered energy, where both types of information express the particular real-time circumstances of individuals. Coordination was a consequence of a new form of property rights: Rules for processing messages generated by decentralized agents were themselves empowered by rights to choose offers and bids, and contingency rules for accepting offers and bids were based on their merit order (higher bids and lower offers had priority in the rank ordering of bids and of offers). But importantly, the rules were qualified by technical and security constraints that were essential if each agent were to bear the true opportunity cost that the agent imposed on all others. The term “property rights” as we shall use it, provides a guarantee that allows action within the guidelines defined by the right. Such guarantees are against arbitrary reprisal, in that they restrict punitive strategies that can be levied against actions taken by the rights holder. Such guarantees provide only limited certainty of protection. Most specifically, property rights, as a guarantee that allow action, do not guarantee outcomes, since outcomes depend upon the property rights of others. In electricity markets, as we shall see, outcomes also depend upon global constraints affecting local outcomes that must be honored if the system is to be efficient, dynamically stable, and to incentivize the direction and level of capital investment. Defining Competitively-Ruled Property Rights to Unique “Monopolistic” Facilities It was the ACC project that alerted us to the existence of “co-tenancy contracts” for the joint ownership and operation of some large generation and transmission facilities. For us this was an illuminating empirical discovery, since this institution, that we modified with competitive property right rules, offered the potential to render the concept of natural monopoly null and void. Thus, suppose a city demand center can be adequately served by a unique physical facility such as a pipeline or transmission line. Under American-style regulation it is decreed that an exclusive franchise will be awarded to a single owner of the facility, whose price will be set so as to regulate the owner’s rate of return on investment. Alternatively, in our proposed competitively-ruled joint ownership property right regime it is decreed that the facility must have two or more co-owners, each having an agreed share of the rights to the capacity of the facility (in practice a common co-tenancy contract rule is for each co-tenant to receive capacity rights in proportion to his contribution to capital cost). Two additional competitive rules would allow rights to be freely traded, leased or rented, and new rights to be created by agreement to invest in capacity expansion by any subset of the co-owners, through unilateral action by any co-owner, or by outsiders if the existing owners resist expansion to meet increased demand. Figure 1 – Efficiency with experienced subjects In historical practice, co-tenancy contracts had prohibited sale by individual rights holders without the consent of the other co-tenants, and capacity expansion was allowed to occur only by joint agreement. The proposed new property rights structure creates multiple rights holders to compete in marketing downstream services utilizing the unique facility, and encourages new investment in response to increased demand. Subsequent to the ACC study, new research uncovered other examples of co-tenancy contracts, a common one being the joint ownership of specialized printing facilities by a consortium of newspapers in a city. Clearly, who prints the newspapers is a production issue potentially separable from the competition of newspapers for subscribers and advertising services. The courts repeatedly affirmed this principle when such co- tenancy contracts attempted to include marketing and pricing conditions in what was ostensibly a shared production agreement (Reynolds, 1990). Thus, our conception of a joint-venture property right regime had already been well-articulated in court cases involving newspapers. There was no new principle — only the question of how it might be reformulated for application to network industries. This model of co-tenancy as an instrument of competition was further elaborated in Smith (1988, 1993), and tested experi mentally in the context of a natural gas pipeline network funded by the Federal Energy Regulatory Commission (Rassenti, Reynolds and Smith, 1994). But such discussions are far from culminating in a completed instrument and many practical implementation difficulties remain. Aftermath of the Arizona Study By 1985, when the study report was filed and presentations made to the ACC, the political composition of the Commission had altered, and the immediate impact of the recommendation for deregulation on Arizona policy was nil. By the time our final report was completed the Commission was composed of newly elected office holders who considered our proposal to be impractical, idealistic and politically infeasible. Of course, the Commission’s actions made the last claim a self-fulfilling truth. Unknown to us at the time, subsequent developments would reveal that this experience was a minor battle in a wider war for institutional change that would begin abroad but would ultimately spread to the United States, albeit with less success. Contrary to the position of the new commission, we considered our proposal eminently feasible in the electronic age, though in need of far more fundamental research, and resolved to undertake controlled experimental studies of various issues in the deregulation debate. Progress on this objective, however, was slow due to inadequate funding, and the fact that the cost of software development for the laboratory study of electronic trading in the context of electric networks was higher than for traditional forms of experimental research. Nevertheless, by 1987 we had conducted several pilot experiments in a six-node electric power network with three fixed, inelastic nodal demand centers, and nine GENCOs (described in Rassenti and Smith, 1986). The GENCOs, located at various nodes, submitted sealed-offer price schedules each trading period to supply power over transmission lines whose energy losses were proportional to the square of energy injected. A valuable lesson from this unpublished research was the ease with which GENCOs could push up prices against inelastic demands by bulk buyers using a mechanism that did not permit demand-side bidding to implement consumer willingness to have deliveries interrupted conditional on price. This was our first brush with the important principle that competition is compromised in supply-side auctions in which buyers are passive and are unable through the mechanism to enter demand-side bid schedules. The California electricity market is now experiencing this principle in spades, but it was foreshadowed in the experience with U.K. privatization, and in other spot markets abroad and in the United States. We report experiments below that provide a rigorous demonstration that when the spot auction mechanism in common use around the world is supplemented by demand-side bidding it provides a property right regime that is a remarkably effective antitrust remedy. Domestically, through the 1980s and into the 1990s, electric power would remain subject to American-style rate-of-return regulation, while abroad, government-owned electric (and other) utilities were under political pressure to explore the use of markets for the management of electrical energy allocations. Industry performance was seen as abysmal in the 1980s, causing some countries (e.g. the United Kingdom, New Zealand) to think the unthinkable: decentralization might be preferable to either government planning or direct regulation. The United States Background The deregulation of electricity did not impact the United States until privatization/decentralization reform was well advanced abroad. Viewed from the perspective of those of us interested in market design for deregulation, the U.S. experience has been disappointing, and the design details heavily politicized. At the start, the industry strongly opposed deregulation. Nothing new here; the same was predominantly true for airline, gas, railroad and trucking deregulation. But with electricity, there was the need for state or regional collective agreement on how the industry would be restructured, and what rules would govern market operation, since there was clear need for computer coordination of generator loads to meet instantaneous demand on highly interconnected networks. For example, there was need for such agreement in the deregulated airline industry. The routes no longer had to be certificated, the industry was regulated by free entry and exit, and what emerged spontaneously in response to the demand for frequent low-cost service was the hub-and-spoke structure that was anticipated and deliberately planned by no one. When we finished our ACC report in 1985, the industry had argued that deregulation was not technically feasible, but that proposition had been shot down all over the world by decentralization programs, none of which had followed American-style rate-of-return regulation. There were various forms of “light- handed” regulation, such as price caps on charges for the “wires” business (high-voltage transmission or local low-voltage distribution), but energy was being priced competitively, limited only by technology and the state of learning. No one abroad wanted to use the American model, which was perceived to be broken just as badly as the state-owned or dominated models that were being reformed. Once the writing was on the wall, the utilities focused not on questions of market design and efficient spot markets, but on lobbying for fixed new monthly charges to cover their alleged “stranded costs.” This was price design for revenue protection, not market design for efficiency. Most economists seemed to accept the need for such compensation, either because it was “fair” for utilities to recover the cost of investments made in good faith under a regulatory regime that was being replaced (Baumol and Sidak, 1995), or because it was considered the politicalprice to be paid for utility support for deregulation (Block and Leonard, 1998). Demand-Side Bidding Will Reduce the Level and Volatility of Electricity Prices California and the rest of the country can avoid price shocks by redesigning their markets to provide better incentives for bulk buyers to introduce technologies. This allows energy flows to be voluntarily reduced to customers who are willing to consume less, in return for a discount on their electricity bills. The switching technology for the temporary appliance-specific interruption of energy deliveries to customers, by contractual agreement, has long been available. Newer technologies are available for demand management directly by households with time-of-day metering. What has been missing in utility management has been aggressive investment in the provision of customer incentives for allowing such technologies to be implemented. Trained for a century to function within a regulatory framework, it does not come naturally for management to think of profiting from the enormous savings in wholesale energy cost to be realized by buying less. Ironically, in the end, California utilities have been forced to impose involuntary area-wide brownouts and rolling blackouts on their customers, treating all with equal priority — including those stranded in elevators. A small fraction of the billions lost by the California distributors, if invested in demand responsiveness, could have stopped the hemorrhaging of their treasuries and turned them a profit. Instead, they counted on their commission to allow an increase in their average rates, which addresses neither the root problem nor the need to get management to focus on prioritizing their demand instead of on their regulatory commission as a source of net profit. Since the utilities were already privately owned and had long engaged in bilateral economy energy exchanges, and energy marketers, or intermediaries, had emerged to facilitate such contracts, there was opposition to the very idea of an open spot market. Bilateral interests wanted to report only origin and destination flows to schedulers, with prices remaining proprietary. Ironically, the bilateral special interest groups had been fostered by legislation intended to move the industry toward market liberalization: the Public Utility Regulatory Policies Act of 1978, and the Energy Policy Act of 1992. These initiatives were designed to facilitate transmission access by independent power producers as a step toward fostering the development of wholesale power markets. Bear in mind that such access was being opposed by some utilities, and federal action was seen as necessary. The bilateral trading model was promoted, partly because of its perceived success in reforming the gas industry, but also because gas marketing intermediaries wanted to expand into electrical energy markets. California followed the bilateral model in restructuring electricity. We long regarded this model as misguided; bilateral bargaining in the electronic age could not provide the foundation for an efficient market model of interdependent (pipeline or transmission) networks.3 California did, however, require the investor-owner utilitie s to be processed through the CalPX (their open spot market exchange), but these demand quantity bids were “at market” (the supply-side asking price that clears the market); they were not price-contingent bids implemented by interruptible service contracts. Thus, in California and elsewhere, the new “wires” utilities succeeded in instituting new fixed monthly charges to cover their stranded costs, and fixed per unit energy charges for retail customers. But no one was preparing for and investing in the technology for demand-side bidding as an instrument to discipline prices in the hourly spot market and to provide incentives for users to reduce demand or switch their time-of-day consumption from higher- to lower-cost periods. Imagine the consequences to the airlines and all of their passengers if, in order to be licensed, airlines were required to charge all passengers an identical regulated monthly access fee and a fixed price per mile traveled, independent of flight destination, time of day, time of week, season or holidays, and independent of the flier’s willingness to pay! Figure 2 illustrates a typical 24-hour period of price variation on the CalPX. Since most of the power was either traded via bilateral contracts at secret prices, and not part of the spot market, or through the PX as bids “at market,” demand was not price-responsive. Observe in Figure 2 that the peak demand and most of the “shoulder” transition demand (between peak and off-peak) are at prices above 10 cents per kilowatt ($100 per megawatt), and are therefore far in excess of what local distributors collect from their residential customers. There are numerous other examples of on-peak price spikes of up to 10 or more times the normal energy prices (in the $25-$30 per megawatt range. See the Bloomberg Daily Power Report Online (Summer 1999) for a report on sharp price spikes in the Midwest and South). These price differences imply an enormous rate of return on investment in contracts for voluntary selective interruption of energy deliveries, with gains shared by both the distributor and its customers. Figure 2 – California PX Prices: June, 26-30 2000 Demand-Side Bidding Controls Market Power and Price Spikes Earlier experimental market research cited above used demand-side bidding and we observed very competitive results. New experiments study this issue much more systematically in the design reported by Rassenti, Smith and Wilson (2000) comparing prices with and without demand-side bidding. Bulk buyers submit discretionary bid steps reflecting the prices above which they are prepared to reduce demand by invoking their contracts for interrupting deliveries. It is important in a competitive electricity market that bulk energy providers contract for discretionary interruption of (suitably compensated) consumers. Why? Because then their bids in the wholesale market cannot be known with certainty by the supply-side bidders, and demand-side bidding can better deter supply-side market power. The problem created by inadequate price-responsive demand in a supply-side-dominated auction can be illustrated with the chart shown in Figure 2. In such a market, the clearing price is sensitive to the asking prices submitted by peaking generators in short supply, especially near peaks in demand. Thus, in Figure 2, the price is $15 per MW with demand 7,700 MW, but if demand had been 8000 MW, the spot price would have been $45 per MW, and at a demand level of 9,000 MW, the price would have been indeterminate, forcing the dispatch center to use security reserves or to involuntarily interrupt customers. Unquestionably, many consumers would have been prepared to reduce demand to avoid such a price spike, provided that they had been given the opportunity and incentives commensurate with the savings. In the United States, are such conditions to be judged a problem in supply-side market power, or is it an institutional and incentive failure of the market mechanism to implement responsive demand? The tendency is to blame market power, although in other industries — hotel accommodations or airline seat pricing, where the product also is non-storable — demand responds strongly to time-variable competitive prices. Implications for Electricity Deregulation in the United States The computerization of laboratory market experiments using profit-motivated human subjects in the 1970s unexpectedly revolutionized our thinking about the purpose and uses of experiments. In particular, we soon came to recognize that the laboratory could be used to test-bed new electronic trading systems for application to industries traditionally perceived as requiring hierarchical organization and government regulation to achieve proper coordination and control over the resulting legally franchised monopolies. Electricity was a prime example, and we attempted to use our first experience with what we called “smart computer-assisted markets” to inform Arizona’s cautious and tentative interest in restructuring its electrical industry to rely on markets to regulate the energy segment of the industry. Failing at the time to influence policy, our effort was not ignored abroad, and we participated as consultants in developing proposals and the use of experiments to help inform some of the key research issues in decentralization, and to serve as a hands-on training tool for those managing the transition. Decentralization required the creation of new property rights: a governance structure and efficient pricing for the grid, generator entry and exit rules, market rules governing messages and contracts in the context of computer-controlled coordination, optimization and communication, but with all outcomes driven by the decisions of dispersed agents whose circumstances of time and place were reflected in market bids to buy or offers to sell. In the United States, the industry was already privatized but was subject to centralized state and national price regulation based on a “fair” return on investment. With the proposed deregulation of electric utility prices and consumption, each state or region needed to develop a plan for restructuring their industry and specifying the auction market rules for determining the real-time wholesale price of energy. Without exception, the resulting market designs, hammered out by regulators, consultants, industry representatives and various power-marketing intermediaries, all employed supply-side bidding mechanisms for the hourly spot market. These spot markets were supplemented with wide-ranging freedom for power users, producers and intermediaries to engage in a variety of bilateral contracts outside of direct price discipline by the spot market. For the spot market this supply-side emphasis meant that any user, regardless of the individual circumstances of that consumer’s need for an uninterruptible flow of energy, would be guaranteed that this demand would be served. Bilateral contractors could agree to allow various degrees of firmness of demand to impinge on contract terms. But in this longer-term contract, market prices are negotiated and secret, and are not subject to the direct real-time constraints on opportunity cost provided by the spot market. The “must-serve” demand policy in the spot market was inherited from a rigid regulatory regime that politicized the reliability of electricity flows to all consumers, whatever the cost. This cost was collectivized by averaging it across all users regardless of individual consumer differences in willingness-to-pay for keeping the lights on. The local utility was expected to maintain service, or restore it quickly, even in inclement weather, spreading the cost of this super-reliability thinly over all customers. This cost included the maintenance of substantial reserves in generation and transmission capacity. Thus system reliability and the capacity to satisfy all retail demand were exclusively a supply-side adjustment problem. In providing this superior service to all, the supply-side was always justified in claiming 100 percent cost recovery plus a fair profit. The consequence of this supply-side mindset was uncontrolled cost creep that increased to a gallop and ultimately became part of the political outcry for deregulation. Implicitly, however, the process of deregulation assumed that this built-in supply-side bias did not require fundamental rethinking when it came time to design spot markets for the new world of competition. As always in market institutions, the devil was in the details. Beginning three years ago in Midwestern and Eastern markets, peak prices hit short-run levels of 100 or more times the normal price level of $20-$30 per megawatt hour. This was the predictable direct consequence of completely unresponsive spot demand impinging on responsive discretionary (bid) supply. More recently the California spot market has been plagued by exorbitant increases in prices as illustrated in Figure 2. This has led to political action to impose price caps on this market, which, of course, can only discourage a positive supply response to the shortages. The move to replace American-style regulation with what may become known as American-style deregulation is in danger of being derailed by these interventions. Controlled comparisons between markets with and without demand-side bidding, in which only 16 percent of peak demand can be voluntarily interrupted, show that demand-side bidding can dramatically lower both the level of prices and their volatility. The public policy implications are evident: wholesale spot markets need to be strengthened institutionally by making explicit provision for demand-side bidding. Distributors need to incentivize more of their customers to accept contracts for voluntary power interruptions, or use time-of-day meters and load-control systems to manage their own price response. Industrial and commercial buyers who already have the capacity to handle interruptible energy supply, but who contract outside the spot market, need adequate incentives to participate in the spot market where their more responsive demands can impact public prices. Distributors stand to gain by interrupting demand sufficiently to avoid paying higher peak and shoulder spot prices, and these savings can be used to pass on incentive discounts to customers whose demand, or portions of it, can be reduced or delayed to off-peak periods when supply capacity is ample. In California, news reports indicate that distributors have lost some $10 billion buying high (Figure 2) and selling at vastly lower residential rates. The technology and capacity for implementing such a policy already exists and can be expanded. This policy recognizes that adjustment to the daily, weekly and seasonal variation in demand, and to the need to provide adequate security reserves, is as much a demand-side problem as it is a supply-side problem. The history of regulation has created an institutional environment that sees such adjustment as exclusively a supply responsibility, and views prices as an ex post means of cost recovery. The result is an inefficient, costly and inflexible system that has produced the recent price shocks and involuntary disruption of energy flows. Demand-side bidding and price feedback, coupled with the supporting interruptible-service incentive contracts, can eliminate unjustified price volatility and price increases and reduce the need for reserve supplies of generator and transmission capacity. Acknowledgements We want to recognize the influence and support of many people and organizations who made possible the research program on which this paper is based: the Arizona Corporation Commission (Commissioners Richard Kimball, Junius Hoffman, and Marianne Jennings) who in 1984 had the vision to fund our first efforts to study electricity deregulation. Footnotes 1 Williams (1980) reports comparisons of the oral and electronic auctions. He found that oral auctions converged more rapidly for inexperienced subjects, but for experienced subjects (one previous session) the two systems were indistinguishable. 2 We use the term “privatization” to describe generically the process of reform of foreign government command forms of organization of the electric industry. In all cases major components of the industry have not had their ownership transferred from public to private entities. Reform has focused on the use of decentralized spot and futures markets to provide price signals to improve the short and longer term management of the industry. The term “deregulation” applies to electricity reform in the United States, where 50 states and one federal regulatory body have regulated an industry already predominantly owned privately, but not decentralized except through recent reforms in some regional transmission systems that are still very much in transition. 3 For a critique of this trend see Smith (1987, 1996), and for studies of smart computer-assisted markets in gas pipeline networks see McCabe, Rassenti and Smith (1989, 1990), and Rassenti, Reynolds and Smith (1994). References 1 S. Backerman, S. Rassenti and V. Smith, “Efficiency and Income Shares in High Demand Energy Network: Who Receives the Congestion Rents When a Line is Constrained?” April 1997, to appear Pacific Economic Review. 2 S. Backerman, M. Denton, S. Rassenti and V. Smith, “Market Power in a Deregulated Electrical Industry”, February 1997, to appear Journal of Decision Support Systems. 3 W. Baumol and J.G. Sidak, “Transmission Pricing and Stranded Costs in the Electric Power Industry”, Washington, D.C.: The AEI Press, 1995. 4 M. Block, J. Cox, R.M. Isaac, D. Pingry, S. Rassenti and V.Smith, “Alternatives to Rate of Return Regulation”, February 15 1985, Final Report of the Economic Science Laboratory, University of Arizona,to the Arizona Corporation Commission. 5M. Block and T. Lenard, “Deregulating Electricity: The Federal Role”, Washington, D.C.: Progress and Freedom Foundation, 1998. 6 Bloomberg Daily Power Report, online, summer 1999. 7 J. Cox and R.M. Isaac, “Incentive Regulation”, in Laboratory Market Research, edited by S. Moriarity, University of Oklahoma Press, 1986, pp.121-145. 8 M. Denton, S. Rassenti and V. Smith, “Spot Market Mechanism Design and Competitivity Issues in Electric Power” Proceedings of the 31st International Conference on System Sciences: restructuring the Electric Power Industry”, 1998. To appear, Journal of Economic Behavior and Organization. 9 L. Evans, “The Theory and Practice of Privatization”, Victoria University of Wellington working paper, August 1998. 10 R. Forsythe and R.M. Isaac, “Demand-revealing Mechanisms for Private Good Auctions”, in Research in Experimental Economics, vol.2, edited by V.Smith, 1982, pp.45-61. 11 D. Grether, R.M. Isaac and C. Plott, “The Allocation of Scarce Resources”, Boulder: Westview Press,1989. 12 F.A. Hayek, “The Use of Knowledge in Society”, American Economic Review, 35, pp.519-30. 13 T. Ishikida, J. Ledyard, M. Olson and D. Porter, “The Design of a Pollution Trading System for Southern California’s RECLAIM Emission Trading Program”, forthcoming in Research in Experimental Economics, 2000. 14 P. Joskow and R. Schmalensee, “Markets for Power”, Cambridge:MIT Press, 1983. 15 R.J. Kaye and H. Outhred, “A Theory of Electricity Tariff Design for Optimal Operation and Investment”, IEEE Transactions on Power Systems, 4(2), 1989, pp.46-52. 16 R.J. Kaye, H. Outhred, and C.H. Bannister, “Forward Contracts for the Operation of an Electricity Industry under Spot Pricing”, IEEE Transactions on Power Systems, 5(1), 1990, pp.606-613. 17 P. Kleindorfer, “Ownership Structure, Contracting and Regulation of Transmission Services Providers”, in Designing Competitive Electricity Markets, H. Chao and H. Huntington eds., Boston: Kluwer Academic Publishers, 1998. 18 K. McCabe, S. Rassenti and V. Smith, “Designing ‘Smart’ Computer Assisted Markets in an Experimental Auction for Gas Networks”, European Journal of Political Economy, 5, 1989, 259-283. 19 K. McCabe, S. Rassenti, and V. Smith, “Markets, Competition, and Efficiency in Natural Gas Pipeline Networks”, Natural Gas Journal, 6, 1989. 20 K. McCabe, S. Rassenti, and V. Smith, “Auction Design for Composite Goods: The Natural Gas Industry”, Journal of Economic Behavior and Organization,September 1990, pp.127-149. 21 M. Olson, S. Rassenti, and V. Smith, “Market Design and Motivated Human Trading Behavior in Electricity Markets”, to appear in IIE Transactions on Operations Engineering. 22 S. Rassenti “0-1 Decision Problems with Multiple Resource Constraints: Algorithms and Applications”, unpublished Ph.D. thesis, University of Arizona, 1981. 23 S. Rassenti, S. Reynolds and V. Smith, “Cotenancy and Competition in an Experimental Auction Market for Natural Gas Pipeline Networks”, Economic Theory 4, 1994, pp.41-65. 24 S. Rassenti and V. Smith, “Electric Utility Deregulation”, in Pricing Electric, Gas and Telecommunication Services. The Institute for the Study of Regulation, December 1986. 25 S. Rassenti, V. Smith and R. Bulfin, “A Combinatorial Auction Mechanism for Airport Time Slot Allocation”, Bell Journal of Economics, Autumn 1982. 26 S. Rassenti, V. Smith and B. Wilson, “Controlling Market Power and Price Spikes in Electricity Networks: Demand side Bidding”, Economic Science Laboratory Working Paper, 2000. 27 S. Reynolds, “Cost Sharing and Competition Among Daily Newspapers”, Department of Economics, University of Arizona, October 1990. 28 V. Smith, “An Experimental Study of Competitive Market Behavior”, Journal of Political Economy, 70, 1962, pp.111-37. 29 V. Smith, “Micro economic Systems as an Experimental Science”, American Economic Review, 72, 1982, 923-55. 30 V. Smith, “Markets as Economizers of Information: Experimental Examination of the ‘Hayek Hypothesis'”, Economic Inquiry, 20, 1982, pp.165-179. 31 V. Smith, “Current s of Competition in Electricity Markets”, Regulation, 2, 1987. 32 V. Smith, “Electric Power Deregulation: Background and Prospects”, Contemporary Policy Issues, 6, 1988, pp.14-24. 33 V. Smith, “Can Electric Power — A Natural Monopoly — Be Deregulated?” in Making National Energy Policy, H.H. Landsberg, ed., Washington, D.C.: Resources for the Future,1993. 34 V. Smith, “Regulatory Reform in the Electric Power Industry”, Regulation, 1, 1996, pp.33-46. 35 A. Williams, “Computerized Double Auction Markets: Some Initial Experimental Results”, Journal of Business, 53, 1980, pp.235-58. Filed under: White Papers Tagged under: Utilities About the Author Chris Trayhorn, Publisher of mThink Blue Book Chris Trayhorn is the Chairman of the Performance Marketing Industry Blue Ribbon Panel and the CEO of mThink.com, a leading online and content marketing agency. He has founded four successful marketing companies in London and San Francisco in the last 15 years, and is currently the founder and publisher of Revenue+Performance magazine, the magazine of the performance marketing industry since 2002.