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15,612
Typical Properties of Winners and Losers in Discrete Optimization
, 2004
"... We present a probabilistic analysis for a large class of combinatorial optimization problems containing, e.g., all binary optimization problems defined by linear constraints and a linear objective function over {0,1} n. By parameterizing which constraints are of stochastic and which are of adversari ..."
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Cited by 29 (3 self)
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We present a probabilistic analysis for a large class of combinatorial optimization problems containing, e.g., all binary optimization problems defined by linear constraints and a linear objective function over {0,1} n. By parameterizing which constraints are of stochastic and which
ABSTRACT Typical Properties of Winners and Losers in Discrete Optimization
"... We present a probabilistic analysis for a large class of combinatorial optimization problems containing, e.g., all binary optimization problems defined by linear constraints and a linear objective function over {0,1} n. By parameterizing which constraints are of stochastic and which are of adversari ..."
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We present a probabilistic analysis for a large class of combinatorial optimization problems containing, e.g., all binary optimization problems defined by linear constraints and a linear objective function over {0,1} n. By parameterizing which constraints are of stochastic and which
Auction Theory: A Guide to the Literature
 JOURNAL OF ECONOMIC SURVEYS
, 1999
"... This paper provides an elementary, nontechnical, survey of auction theory, by introducing and describing some of the critical papers in the subject. (The most important of these are reproduced in a companion book, The Economic Theory of Auctions, Paul Klemperer (ed.), Edward Elgar (pub.), forthco ..."
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Cited by 528 (4 self)
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.), forthcoming.) We begin with the most fundamental concepts, and then introduce the basic analysis of optimal auctions, the revenue equivalence theorem, and marginal revenues. Subsequent sections address riskaversion, affiliation, asymmetries, entry, collusion, multiunit auctions, double auctions, royalties
Toward an instance theory of automatization
 Psychological Review
, 1988
"... This article presents a theory in which automatization is construed as the acquisition of a domainspecific knowledge base, formed of separate representations, instances, of each exposure to the task. Processing is considered automatic if it relies on retrieval of stored instances, which will occur ..."
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Cited by 613 (37 self)
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up and predicts a powerfunction reduction in the standard deviation that is constrained to have the same exponent as the power function for the speedup. The theory accounts for qualitative properties as well, explaining how some may disappear and others appear with practice. More generally, it provides
ERC  A Theory of Equity, Reciprocity and Competition
 FORTHCOMING AMERICAN ECONOMIC REVIEW
, 1999
"... We demonstrate that a simple model, constructed on the premise that people are motivated by both their pecuniary payoff and their relative payoff standing, explains behavior in a wide variety of laboratory games. Included are games where equity is thought to be a factor, such as ultimatum, twoperio ..."
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Cited by 699 (21 self)
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We demonstrate that a simple model, constructed on the premise that people are motivated by both their pecuniary payoff and their relative payoff standing, explains behavior in a wide variety of laboratory games. Included are games where equity is thought to be a factor, such as ultimatum, twoperiod alternating offer, and dictator games; games where reciprocity is thought to play a role, such as the prisoner’s dilemma and the gift exchange game; and games where competitive behavior is observed, such as Bertrand and Cournot markets, and the guessing game.
A unified theory of underreaction, momentum trading and overreaction in asset markets
, 1999
"... We model a market populated by two groups of boundedly rational agents: “newswatchers” and “momentum traders.” Each newswatcher observes some private information, but fails to extract other newswatchers’ information from prices. If information diffuses gradually across the population, prices underre ..."
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Cited by 577 (31 self)
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We model a market populated by two groups of boundedly rational agents: “newswatchers” and “momentum traders.” Each newswatcher observes some private information, but fails to extract other newswatchers’ information from prices. If information diffuses gradually across the population, prices underreact in the short run. The underreaction means that the momentum traders can profit by trendchasing. However, if they can only implement simple (i.e., univariate) strategies, their attempts at arbitrage must inevitably lead to overreaction at long horizons. In addition to providing a unified account of under and overreactions, the model generates several other distinctive implications.
Market Efficiency, LongTerm Returns, and Behavioral Finance
, 1998
"... Market efficiency survives the challenge from the literature on longterm return anomalies. Consistent with the market efficiency hypothesis that the anomalies are chance results, apparent overreaction to information is about as common as underreaction, and postevent continuation of preevent abnor ..."
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Cited by 749 (4 self)
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Market efficiency survives the challenge from the literature on longterm return anomalies. Consistent with the market efficiency hypothesis that the anomalies are chance results, apparent overreaction to information is about as common as underreaction, and postevent continuation of preevent abnormal returns is about as frequent as postevent reversal. Most important, consistent with the market efficiency prediction that apparent anomalies can be due to methodology, most longterm return anomalies tend to disappear with reasonable changes in technique.
The Economics of Immigration
 Journal of Economic Literature
, 1994
"... and Stephen Trejo for useful comments, and to the National Science Foundation for research support. 1. ..."
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Cited by 720 (11 self)
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and Stephen Trejo for useful comments, and to the National Science Foundation for research support. 1.
Typical Properties of Winners and Losersin Discrete Optimization
"... ABSTRACT We present a probabilistic analysis for a large class of combinatorial optimization problems containing, e.g., all binary optimization problems defined by linear constraints and a linear objectivefunction over {0,1}n. By parameterizing which constraints are ofstochastic and which are of ad ..."
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smoothedcomplexity if and only if it has a pseudopolynomial complexity. Our analysis is centered around structural properties of binary optimization problems, called winner, loser, and feasibility gaps. We show, when the coefficients of the objective function and/or someof the constraints are stochastic
Results 1  10
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15,612