Mathew D. McCubbins

Bio: Mathew D. McCubbins is an academic researcher from Duke University. The author has contributed to research in topics: Legislature & House of Representatives. The author has an hindex of 48, co-authored 223 publications receiving 17226 citations. Previous affiliations of Mathew D. McCubbins include University of California, San Diego & University of Southern California.

Congressional Oversight Overlooked: Police Patrols versus Fire Alarms

Abstract: Scholars have often remarked that Congress neglects its oversight responsibility. We argue that Congress does no such thing: what appears to be a neglect of oversight really is the rational preference for one form of oversight-which we call fire-alarm oversight-over another form-police-patrol oversight. Our analysis supports a somewhat neglected way of looking at the strategies by which legislators seek to achieve their goals.

Legislative Leviathan: Party Government in the House

Abstract: This book provides an incisive new look at the inner workings of the House of Representatives in the post-World War II era. Reevaluating the role of parties and committees, Gary Cox and Mathew McCubbins view parties in the House - especially majority parties - as a species of 'legislative cartel.' These cartels usurp the power, theoretically resident in the House, to make rules governing the structure and process of legislation. Possession of this rule-making power leads to two main consequences. First, the legislative process in general, and the committee system in particular, is stacked in favor of majority party interests. Second, because the majority party has all the structural advantages, the key players in most legislative deals are members of that party and the majority party's central agreements are facilitated by cartel rules and policed by the cartel's leadership. Debunking prevailing arguments about the weakening of congressional parties, Cox and McCubbins powerfully illuminate the ways in which parties exercise considerable discretion in organizing the House to carry out its work. This work will have an important impact on the study of American politics, and will greatly interest students of Congress, the presidency, and the political party system.

The Democratic Dilemma: Can Citizens Learn What They Need to Know?

Abstract: List of tables and figures Series editors' preface Acknowledgements 1. Knowledge and the foundation of democracy Part I. Theory: 2. How people learn 3. How people learn from others 4. What people learn from others 5. Delegation and democracy Part II. Experiments: 6. Theory, predictions and the scientific method 7. Laboratory experiments on information, persuasion and choice 8. Laboratory experiments on delegation 9. A survey on the conditions for persuasion Part III. Implications for Institutional Design: 10. The institutions of knowledge Afterword Appendices References Author index Subject index.

Electoral Politics as a Redistributive Game

Abstract: Spatial models of electoral competition typically simplify the analysis by ignoring the question of internal constituency politics: constituencies are modeled simply as a distribution of ideal points along a set of issue dimensions. Matters related to the stability of divergent electoral coalitions have rarely been addressed. We explicitly take into account how differential rates of support by various groups in a constituency will influence candidates' campaign promises and the likelihood that stable electoral coalitions will be forged. Viewing campaign platforms as promised redistributions of welfare, we argue that the optimal strategy for risk-averse candidates will be to promise redistributions first and foremost to their reelection constituency and thereby to maintain existing political coalitions. We use evidence from the urban services literature to support our propositions.

International Norm Dynamics and Political Change

Abstract: Norms have never been absent from the study of international politics, but the sweeping “ideational turn” in the 1980s and 1990s brought them back as a central theoretical concern in the field. Much theorizing about norms has focused on how they create social structure, standards of appropriateness, and stability in international politics. Recent empirical research on norms, in contrast, has examined their role in creating political change, but change processes have been less well-theorized. We induce from this research a variety of theoretical arguments and testable hypotheses about the role of norms in political change. We argue that norms evolve in a three-stage “life cycle” of emergence, “norm cascades,” and internalization, and that each stage is governed by different motives, mechanisms, and behavioral logics. We also highlight the rational and strategic nature of many social construction processes and argue that theoretical progress will only be made by placing attention on the connections between norms and rationality rather than by opposing the two.

Political Science and the Three New Institutionalisms

Abstract: The ‘new institutionalism’ is a term that now appears with growing frequency in political science. However, there is considerable confusion about just what the ‘new institutionalism’ is, how it differs from other approaches, and what sort of promise or problems it displays. The object of this essay is to provide some preliminary answers to these questions by reviewing recent work in a burgeoning literature. Some of the ambiguities surrounding the new institutionalism can be dispelled if we recognize that it does not constitute a unified body of thought. Instead, at least three different analytical approaches, each of which calls itself a ‘new institutionalism’, have appeared over the past fifteen years. We label these three schools of thought: historical institutionalism, rational choice institutionalism, and sociological institutionalism.’ All of these approaches developed in reaction to the behavioural perspectives that were influential during the 1960s and 1970s and all seek to elucidate the role that institutions play in the determination of social and political outcomes. However, they paint quite different pictures of the political world. In the sections that follow, we provide a brief account of the genesis of each school and characterize what is distinctive about its approach to social and political problems. We then compare their analytical strengths and weaknesses, * An earlier version of this paper WLS presented at the 1994 Annual Meeting of the American Political Science Association and at a Conference on ‘What is Institutionalism Now? at the

Thinking fast and slow.

Abstract: In 1974 an article appeared in Science magazine with the dry-sounding title “Judgment Under Uncertainty: Heuristics and Biases” by a pair of psychologists who were not well known outside their discipline of decision theory. In it Amos Tversky and Daniel Kahneman introduced the world to Prospect Theory, which mapped out how humans actually behave when faced with decisions about gains and losses, in contrast to how economists assumed that people behave. Prospect Theory turned Economics on its head by demonstrating through a series of ingenious experiments that people are much more concerned with losses than they are with gains, and that framing a choice from one perspective or the other will result in decisions that are exactly the opposite of each other, even if the outcomes are monetarily the same. Prospect Theory led cognitive psychology in a new direction that began to uncover other human biases in thinking that are probably not learned but are part of our brain’s wiring.

Economics of Information

Abstract: The author systematically examines one of the important issues of information — establishing the market price. He introduces the concept of «search» — where a buyer wanting to get a better price, is forced to question sellers. The article deals with various aspects of finding the necessary information.

博弈论 : 矛盾冲突分析 = Game theory : analysis of conflict

Abstract: Preface 1. Decision-Theoretic Foundations 1.1 Game Theory, Rationality, and Intelligence 1.2 Basic Concepts of Decision Theory 1.3 Axioms 1.4 The Expected-Utility Maximization Theorem 1.5 Equivalent Representations 1.6 Bayesian Conditional-Probability Systems 1.7 Limitations of the Bayesian Model 1.8 Domination 1.9 Proofs of the Domination Theorems Exercises 2. Basic Models 2.1 Games in Extensive Form 2.2 Strategic Form and the Normal Representation 2.3 Equivalence of Strategic-Form Games 2.4 Reduced Normal Representations 2.5 Elimination of Dominated Strategies 2.6 Multiagent Representations 2.7 Common Knowledge 2.8 Bayesian Games 2.9 Modeling Games with Incomplete Information Exercises 3. Equilibria of Strategic-Form Games 3.1 Domination and Ratonalizability 3.2 Nash Equilibrium 3.3 Computing Nash Equilibria 3.4 Significance of Nash Equilibria 3.5 The Focal-Point Effect 3.6 The Decision-Analytic Approach to Games 3.7 Evolution. Resistance. and Risk Dominance 3.8 Two-Person Zero-Sum Games 3.9 Bayesian Equilibria 3.10 Purification of Randomized Strategies in Equilibria 3.11 Auctions 3.12 Proof of Existence of Equilibrium 3.13 Infinite Strategy Sets Exercises 4. Sequential Equilibria of Extensive-Form Games 4.1 Mixed Strategies and Behavioral Strategies 4.2 Equilibria in Behavioral Strategies 4.3 Sequential Rationality at Information States with Positive Probability 4.4 Consistent Beliefs and Sequential Rationality at All Information States 4.5 Computing Sequential Equilibria 4.6 Subgame-Perfect Equilibria 4.7 Games with Perfect Information 4.8 Adding Chance Events with Small Probability 4.9 Forward Induction 4.10 Voting and Binary Agendas 4.11 Technical Proofs Exercises 5. Refinements of Equilibrium in Strategic Form 5.1 Introduction 5.2 Perfect Equilibria 5.3 Existence of Perfect and Sequential Equilibria 5.4 Proper Equilibria 5.5 Persistent Equilibria 5.6 Stable Sets 01 Equilibria 5.7 Generic Properties 5.8 Conclusions Exercises 6. Games with Communication 6.1 Contracts and Correlated Strategies 6.2 Correlated Equilibria 6.3 Bayesian Games with Communication 6.4 Bayesian Collective-Choice Problems and Bayesian Bargaining Problems 6.5 Trading Problems with Linear Utility 6.6 General Participation Constraints for Bayesian Games with Contracts 6.7 Sender-Receiver Games 6.8 Acceptable and Predominant Correlated Equilibria 6.9 Communication in Extensive-Form and Multistage Games Exercises Bibliographic Note 7. Repeated Games 7.1 The Repeated Prisoners Dilemma 7.2 A General Model of Repeated Garnet 7.3 Stationary Equilibria of Repeated Games with Complete State Information and Discounting 7.4 Repeated Games with Standard Information: Examples 7.5 General Feasibility Theorems for Standard Repeated Games 7.6 Finitely Repeated Games and the Role of Initial Doubt 7.7 Imperfect Observability of Moves 7.8 Repeated Wines in Large Decentralized Groups 7.9 Repeated Games with Incomplete Information 7.10 Continuous Time 7.11 Evolutionary Simulation of Repeated Games Exercises 8. Bargaining and Cooperation in Two-Person Games 8.1 Noncooperative Foundations of Cooperative Game Theory 8.2 Two-Person Bargaining Problems and the Nash Bargaining Solution 8.3 Interpersonal Comparisons of Weighted Utility 8.4 Transferable Utility 8.5 Rational Threats 8.6 Other Bargaining Solutions 8.7 An Alternating-Offer Bargaining Game 8.8 An Alternating-Offer Game with Incomplete Information 8.9 A Discrete Alternating-Offer Game 8.10 Renegotiation Exercises 9. Coalitions in Cooperative Games 9.1 Introduction to Coalitional Analysis 9.2 Characteristic Functions with Transferable Utility 9.3 The Core 9.4 The Shapkey Value 9.5 Values with Cooperation Structures 9.6 Other Solution Concepts 9.7 Colational Games with Nontransferable Utility 9.8 Cores without Transferable Utility 9.9 Values without Transferable Utility Exercises Bibliographic Note 10. Cooperation under Uncertainty 10.1 Introduction 10.2 Concepts of Efficiency 10.3 An Example 10.4 Ex Post Inefficiency and Subsequent Oilers 10.5 Computing Incentive-Efficient Mechanisms 10.6 Inscrutability and Durability 10.7 Mechanism Selection by an Informed Principal 10.8 Neutral Bargaining Solutions 10.9 Dynamic Matching Processes with Incomplete Information Exercises Bibliography Index