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Author: Nodir Adilov
Publisher:
ISBN:
Category :
Languages : en
Pages : 316
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Author: Nodir Adilov
Publisher:
ISBN:
Category :
Languages : en
Pages : 316
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Author: Deddy Priatmodjo Koesrindartoto
Publisher:
ISBN:
Category :
Languages : en
Pages : 346
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Three papers in this dissertation are entirely self-contained. The papers are linked both through the methodologies used and through the issues addressed. Each of the paper seeks to understand the complexity effects of market design issues by using agent-based computational economic approach. The first essay addresses the question of which auction pricing rule should Treasury use that yields the highest revenue, especially whether the Treasury should use a discriminatory-price rule or a uniform-price one. Computational experiments are carefully designed based on four treatment factors: (1) the buyers' learning representation; (2) the number of buyers participating in the auction; (3) the total security demand capacity of buyers relative to the Treasury offered security supply (4) volatility of security prices in the secondary market. Key findings in this study show that Treasury revenue varies systematically with changes of treatments factor. The second essay tries to answer the question of what is the best bidding rule for multi-unit sealed-bid double auctions. Extending the earlier theoretical work which suggested that submitting supply offers in the form of price-quantity supply functions P(Q) will benefit the seller under one-sided auction with uncertain demand. However, this study results show that under double-sided multi-unit auction in which seller face a similar uncertain demand, submitting P(Q) supply offers not necessarily benefited sellers. Moreover, strategic interaction effects among players using P(Q) rules can lower sellers profit and overall market efficiency. Such insights are critical, especially to market designers who are concerned about the detailed aspects of market design implementation. The third essay addresses the experimental testing of the recently proposed wholesale power market design by Federal Energy Regulatory Commission. This Wholesale Power Market Platform (WPMP) is a complex market that requires market participants to simultaneously bid into real-time, day-ahead, ancillary, and transmission rights markets. The study main goals are to gain understanding the nature of this complex market design, at the same time to test whether WPMP design results in efficient, fair, robust market operations overtime, especially under conditions in which participants' strive to gain market power through strategic pricing, capacity withholding, and any other imaginable strategies.
Author: Eric Samuel Mayefsky
Publisher: Stanford University
ISBN:
Category :
Languages : en
Pages : 106
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I explore fundamental behavioral aspects of several market design environments in a variety of projects using both theoretical models and laboratory experiments. I show that human tendencies can drastically shift potential outcomes away from those which would result if individuals were fully 'rational' and unbiased in decision problems similar to those found frequently in the field. I explore two common classes of centralized matching mechanisms--Deferred Acceptance and Priority--which have wildly different success rates in practice despite both being open to manipulation by agents who have incomplete information about the other participants in the match. For this reason, theory predicts both mechanisms in equilibrium will yield match outcomes which are unstable, meaning some agents will desire to renegotiate with one another after receiving their match assignments, and thus reduce participants' confidence in using the match. I provide laboratory evidence that out-of-equilibrium truth telling by agents is substantially more frequent in the Deferred Acceptance environment and thus Deferred Acceptance matches will generally be more stable in practice than matches using a Priority mechanism. This may explain why Deferred Acceptance mechanisms appear to be more viable in the field. I also explore two different models of decentralized two-sided matching environments where establishing scarce signaling methods can improve market outcomes. In a laboratory experiment, I show that allowing potential receiving job offers to send a single signal to their favorite potential employer before job offers are made increases overall match rates in the market, but is potentially damaging to the firms making offers when compared to the market without such a signal. Then, in a theoretical model where pre-offer communication takes the form of an interview process where workers have natural limits on the number of interviews in which they can participate, I show that in many cases firms can benefit themselves and the market as a whole by voluntarily restricting the number of interviews they offer to participate in. While not traditionally thought of as market design problems, voting mechanisms are fundamentally goods allocation problems as well and have many of the same issues as traditional markets do. I explore the effects of voter bias on outcomes in an otherwise standard voting model and find that even slight external pressure on individuals in a committee tasked with coming to a collective decision can destroy the ability of that committee to arrive at the correct result, even when individuals have good information about the best decision to make. Furthermore, the quality of the decision made by such a committee can actually degrade as the committee size increases, in contrast with the canonical Condorcet Jury Theorem which predicts that a committee's ability to choose the right outcome increases quickly as more members are added.
Author: Johannes Viehmann
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Author: Wulf Albers
Publisher: Springer Science & Business Media
ISBN: 3642604951
Category : Business & Economics
Languages : en
Pages : 526
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Strategic interaction occurs whenever it depends on others what one finally obtains: on markets, in firms, in politics etc. Game theorists analyse such interaction normatively, using numerous different methods. The rationalistic approach assumes perfect rationality whereas behavioral theories take into account cognitive limitations of human decision makers. In the animal kingdom one usually refers to evolutionary forces when explaining social interaction. The volume contains innovative contributions, surveys of previous work and two interviews which shed new light on these important topics of the research agenda. The contributions come from highly regarded researchers from all over the world who like to express in this way their intellectual inspiration by the Nobel-laureate Reinhard Selten.
Author: Akhilendra Vohra
Publisher:
ISBN:
Category :
Languages : en
Pages :
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This dissertation consists of three chapters in microeconomic theory, with a particular focus on market design and information economics. The papers develop and study applied theoretical models in order to: 1) Identify the unintended welfare effects of interventions in various markets and improve their design. 2) Understand how strategic actors take advantage of information revelation processes. The first chapter looks at the effect of wage caps on collective bargaining in the world of professional sports. Professional sports in the United States generate over 35 billion dollars yearly in revenue, which is divided between players and owners via collective bargaining. Given the stakes, some leagues instituted maximum contracts, limiting individual compensation to a percentage of team salary caps. Combining a model of a sports league with one of bargaining, I demonstrate that while these contracts limit salaries of star players, they can increase the welfare of all players. Maximum contracts reduce earning inequality and harmonize players' interests, improving collective bargaining power. The model highlights the welfare gains to be had if a heterogeneous group agrees to concessions that increase the alignment of their individual interests. My second chapter studies strategic targeting over networks. Persuaders, such as advertisers and political parties, expend vast resources targeting agents who amplify the persuaders' messages through their social network. Who should they target? To answer this, I develop a model of targeting on a network where agent beliefs evolve via a DeGroot process permitting persistence of initial beliefs. As a result, each agent is identified by their centrality and initial belief. Persuaders that want to steer the average belief of the agents in a particular direction take into account both features. Absent competition, a persuader trades-off an agent's centrality with the dissimilarity of her belief from that of the agent. With competition, a persuader considers the distribution of agents' interactions with its competitors. When competition is intense, the incentive to deter one's rival dominates. Equilibria where persuaders target those with similar beliefs arise, increasing polarization. This is in contrast to the canonical model where persuaders care only about the fraction of impressions they generate. In that case, targeting is based entirely on agent centrality. The final chapter of my dissertation examines the phenomenon of market unraveling. Labor markets are said to unravel if the matches between workers and firms occur inefficiently early, based on limited information. I argue that a significant determinant of unraveling is the transparency of the secondary market, where firms can poach workers employed by other firms. I propose a model of interviewing and hiring that allows firms to hire on the secondary market as well as at the entry-level. Unraveling arises as a strategic decision by low-tier firms to prevent poaching. While early matching reduces the probability of hiring a high type worker, it prevents rivals from learning about the worker, making poaching difficult. As a result, unraveling can occur even in labor markets without a shortage of talent. When secondary markets are very transparent, unraveling disappears. However, the resulting matching is still inefficient due to the incentives of low-tier firms to communicate that they have not hired top-quality workers. Coordinating the timing of hiring does not mitigate the inefficiencies because firms continue to act strategically to prevent poaching.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
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This Ph. D. thesis is composed of four independent research papers in the field of Market Design. It begins with a general introduction for all four papers and ends with a brief conclusion. In this thesis, I study the impact of heterogeneous market participants on allocation outcomes in different market mechanisms; in addition, how to design alternative mechanisms that can more effectively allocate scarce resources with diverse economic and social goals. Chapter 1 studies the impact of affirmative action policies in the context of school choice. It addresses the following two questions: what are the causes of possible perverse consequence of affirmative action policies, and when the designer can effectively implement affirmative actions without unsatisfactory outcomes. Using the minority reserve policy in the student optimal stable mechanism as an example, I show that two acyclicity conditions, type-specific acyclicity and strongly type-specific acyclicity, are crucial for effective affirmative action policies. However, these two cycle conditions are almost impossible to be satisfied in any finite market in practice. Given the limitation of the point-wise effectiveness in finite markets, I further illustrate that the minority reserve policy is approximately effective in the sense that the probability of a random market containing type-specific cycles converges to zero when the copies of schools grow to infinite. Chapter 2 addresses the question of how ex ante asymmetry affects bidders' equilibrium strategies in two popular multi-unit auction rules: uniform-price auction (UPA) and discriminatory-price auction (DPA). I characterize the set of asymmetric monotone Bayes-Nash equilibria in a simple multi-unit auction game in which two units of a homogeneous object are auctioned among a set of bidders. I argue that bidders' strategic behavior essentially comes from their diverse market positions (i.e., the winning probability and the probability of deciding the market-clea
Author: Bin Li
Publisher:
ISBN:
Category : Electronic dissertations
Languages : en
Pages :
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With the increasing popularity of the online channel, both consumers and firms are engaging in more and more multi-channel activities. On the one hand, consumers can integrate information from searches on both online and offline channels, and then decide on the best channel to buy from. On the other hand, firms need to consider consumer behavior in different channels in their strategy design. As a result, cross-channel interactions between consumer behavior and firm strategy can be within the same channel or across different channels. While the within-channel interaction has been studied extensively in the previous literature, there is much less research on the cross-channel interaction. In my dissertation, I add to the understanding of consumer behavior and firm strategy in the multi-channel environment by empirically analyzing their cross-channel interactions. This dissertation consists of three separate but related essays. The first answers the question: How does consumer behavior affect optimal product portfolio strategies in online versus offline channels? I develop an empirical model to simultaneously identify the cannibalization effect (within a brand) and the competition effect (between different brands) in different retail channels. I further examine how these effects are affected by consumer preferences. The second essay answers the question: How does a firm’s offline strategy affect consumer online behavior? I use a natural experiment to examine how the awareness and convenience effects from opening new retail stores affect the online search. The final essay answers the question: How does online banking affect entry/exit of offline bank branches? I develop and estimate a dynamic entry/exit model examining the relationship between technological advances and market structure evolution. My counterfactual analysis shows that the asymmetric reduction in operating costs is the most significant factor driving recent changes in the U.S. banking industry, followed by increased entry costs and increased deposits for large banks due to greater online presence. My findings provide important implications for firms engaging in multi-channel activities.
Author: Yun Liu
Publisher:
ISBN: 9788793483330
Category :
Languages : en
Pages : 104
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Author: Eric Samuel Mayefsky
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
I explore fundamental behavioral aspects of several market design environments in a variety of projects using both theoretical models and laboratory experiments. I show that human tendencies can drastically shift potential outcomes away from those which would result if individuals were fully 'rational' and unbiased in decision problems similar to those found frequently in the field. I explore two common classes of centralized matching mechanisms--Deferred Acceptance and Priority--which have wildly different success rates in practice despite both being open to manipulation by agents who have incomplete information about the other participants in the match. For this reason, theory predicts both mechanisms in equilibrium will yield match outcomes which are unstable, meaning some agents will desire to renegotiate with one another after receiving their match assignments, and thus reduce participants' confidence in using the match. I provide laboratory evidence that out-of-equilibrium truth telling by agents is substantially more frequent in the Deferred Acceptance environment and thus Deferred Acceptance matches will generally be more stable in practice than matches using a Priority mechanism. This may explain why Deferred Acceptance mechanisms appear to be more viable in the field. I also explore two different models of decentralized two-sided matching environments where establishing scarce signaling methods can improve market outcomes. In a laboratory experiment, I show that allowing potential receiving job offers to send a single signal to their favorite potential employer before job offers are made increases overall match rates in the market, but is potentially damaging to the firms making offers when compared to the market without such a signal. Then, in a theoretical model where pre-offer communication takes the form of an interview process where workers have natural limits on the number of interviews in which they can participate, I show that in many cases firms can benefit themselves and the market as a whole by voluntarily restricting the number of interviews they offer to participate in. While not traditionally thought of as market design problems, voting mechanisms are fundamentally goods allocation problems as well and have many of the same issues as traditional markets do. I explore the effects of voter bias on outcomes in an otherwise standard voting model and find that even slight external pressure on individuals in a committee tasked with coming to a collective decision can destroy the ability of that committee to arrive at the correct result, even when individuals have good information about the best decision to make. Furthermore, the quality of the decision made by such a committee can actually degrade as the committee size increases, in contrast with the canonical Condorcet Jury Theorem which predicts that a committee's ability to choose the right outcome increases quickly as more members are added.
