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JournalISSN: 1555-7561

Theoretical Economics 

Econometric Society
About: Theoretical Economics is an academic journal published by Econometric Society. The journal publishes majorly in the area(s): Computer science & Stochastic game. It has an ISSN identifier of 1555-7561. It is also open access. Over the lifetime, 510 publications have been published receiving 12399 citations. The journal is also known as: Journal of the Society for Economic Theory & Journal of the Econometric Society.


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TL;DR: In this article, the authors compare the welfare effects of minority reserves and majority quotas and show that minority students are, on average, better off with minority reserves while adverse effects on majority students are mitigated.
Abstract: The prevalent affirmative action policy in school choice limits the number of admitted majority students to give minority students higher chances to attend their desired schools. There have been numerous efforts to reconcile affirmative action policies with celebrated matching mechanisms such as the deferred acceptance and top trading cycles algorithms. Nevertheless, it is theoretically shown that under these algorithms, the policy based on majority quotas may be detrimental to minorities. Using simulations, we find that this is a more common phenomenon rather than a peculiarity. To circumvent the inefficiency caused by majority quotas, we offer a different interpretation of the affirmative action policies based on minority reserves. With minority reserves, schools give higher priority to minority students up to the point that the minorities fill the reserves. We compare the welfare effects of these policies. The deferred acceptance algorithm with minority reserves Pareto dominates the one with majority quotas. Our simulations, which allow for correlations between student preferences and school priorities, indicate that minorities are, on average, better off with minority reserves while adverse effects on majorities are mitigated.

217 citations

Posted Content
Ran Spiegler1
TL;DR: In this article, the authors study a market model in which profit-maximizing firms compete in multi-dimensional pricing strategies over a consumer, who is limited in his ability to grasp such complicated objects and therefore uses a sampling procedure to evaluate them.
Abstract: I study a market model in which profit-maximizing firms compete in multi-dimensional pricing strategies over a consumer, who is limited in his ability to grasp such complicated objects and therefore uses a sampling procedure to evaluate them. Firms respond to increased competition with an increased effort to obfuscate, rather than with more competitive pricing. As a result, consumer welfare is not enhanced and may even deteriorate. Specifically, when firms control both the price and the quality of each dimension, and there are diminishing returns to quality, increased competition implies an efficiency loss which is entirely borne by consumers.

197 citations

Journal ArticleDOI
TL;DR: In this article, the authors developed a dynamic network formation model that can explain the observed nestedness in real-world networks, where links are formed on the basis of agents' centrality and have an exponentially distributed lifetime.
Abstract: We develop a dynamic network formation model that can explain the observed nestedness in real-world networks. Links are formed on the basis of agents’ centrality and have an exponentially distributed lifetime. We use stochastic stability to identify the networks to which the network formation process converges and find that they are nested split graphs. We completely determine the topological properties of the stochastically stable networks and show that they match features exhibited by real-world networks. Using four different network data sets, we empirically test our model and show that it fits well the observed networks.

193 citations

Journal ArticleDOI
TL;DR: In this paper, the authors characterize the set of outcomes that can arise in Bayes Nash equilibria if players observe the given information structure but may also observe additional signals, and identify a partial order on many player information structures (individual sufficiency) under which more information shrinks the set.
Abstract: A game of incomplete information can be decomposed into a basic game and an information structure. The basic game defines the set of actions, the set of payoff states the payoff functions and the common prior over the payoff states. The information structure refers to the signals that the players receive in the game. We characterize the set of outcomes that can arise in Bayes Nash equilibrium if players observe the given information structure but may also observe additional signals. The characterization corresponds to the set of (a version of) incomplete information correlated equilibria which we dub Bayes correlated equilibria. We identify a partial order on many player information structures (individual sufficiency) under which more information shrinks the set of Bayes correlated equilibria. This order captures the role of information in imposing (incentive) constraints on behavior.

184 citations

Posted Content
TL;DR: In this article, the authors analyze a choice model in which the decision maker encounters the alternatives in the form of a list and characterize all the choice functions from lists that involve the choice of either the first or the last optimal alternative in the list according to some preference relation.
Abstract: The standard economic choice model assumes that the decision maker chooses from sets of alternatives. In contrast, we analyze a choice model in which the decision maker encounters the alternatives in the form of a list. We present two axioms similar in nature to the classical axioms of choice from sets. We show that they characterize all the choice functions from lists that involve the choice of either the first or the last optimal alternative in the list according to some preference relation. We then relate choice functions from lists to the classical notions of choice correspondences and random choice functions.

172 citations

Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
202339
202288
202131
202043
201938
201844