2019

最新文章

• The Econometric Society Annual Reports Report of the Editors of the Monograph Series AI翻译
  作者：Andrews, Donald; Ely, Jeffrey
• Peer-Confirming Equilibrium AI翻译
  作者：Lipnowski, Elliot; Sadler, Evan
  作者单位：University of Chicago; Columbia University
  摘要：We can often predict the behavior of those closest to us more accurately than that of complete strangers, yet we routinely engage in strategic situations with both: our social network impacts our strategic knowledge. Peer-confirming equilibrium describes the behavioral consequences of this intuition in a noncooperative game. We augment a game with a network to represent strategic information: if two players are linked in the network, they have correct conjectures about each others' strategies....
• Social Networks, Reputation, and Commitment: Evidence From a Savings Monitors Experiment AI翻译
  作者：Breza, Emily; Chandrasekhar, Arun G.
  作者单位：National Bureau of Economic Research; Harvard University; Stanford University; National Bureau of Economic Research
  摘要：We conduct an experiment to study whether individuals save more when information about the progress toward their self-set savings goal is shared with another village member (a monitor). We develop a reputational framework to explore how a monitor's effectiveness depends on her network position. Savers who care about whether others perceive them as responsible should save more with central monitors, who more widely disseminate information, and proximate monitors, who pass information to individ...
• Measuring Group Differences in High-Dimensional Choices: Method and Application to Congressional Speech AI翻译
  作者：Gentzkow, Matthew; Shapiro, Jesse M.; Taddy, Matt
  作者单位：Stanford University; National Bureau of Economic Research; Brown University; Amazon.com
  摘要：We study the problem of measuring group differences in choices when the dimensionality of the choice set is large. We show that standard approaches suffer from a severe finite-sample bias, and we propose an estimator that applies recent advances in machine learning to address this bias. We apply this method to measure trends in the partisanship of congressional speech from 1873 to 2016, defining partisanship to be the ease with which an observer could infer a congressperson's party from a sing...
• The Econometric Society Annual Reports Report of the Editors 2017-2018 AI翻译
  作者：Sobel, Joel; Bergemann, Dirk; Gilboa, Itzhak; Mueller, Ulrich K.; Nevo, Aviv; Violante, Giovanni L.; Zilibotti, Fabrizio