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作者：Jarosch, Gregor; Oberfield, Ezra; Rossi-Hansberg, Esteban
作者单位：Princeton University; Princeton University
摘要：We investigate learning at the workplace. To do so, we use German administrative data that contain information on the entire workforce of a sample of establishments. We document that having more-highly-paid coworkers is strongly associated with future wage growth, particularly if those workers earn more. Motivated by this fact, we propose a dynamic theory of a competitive labor market where firms produce using teams of heterogeneous workers that learn from each other. We develop a methodology ...
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作者：Di Tillio, Alfredo; Ottaviani, Marco; Sorensen, Peter Norman
作者单位：Bocconi University; Bocconi University; University of Copenhagen
摘要：Are the highest sample realizations selected from a larger presample more or less informative than the same amount of random data? Developing multivariate accuracy for interval dominance ordered preferences, we show that sample selection always benefits (or always harms) a decision maker if the reverse hazard rate of the data distribution is log-supermodular (or log-submodular), as in location experiments with normal noise. We find nonpathological conditions under which the information contain...
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作者：Chen, Liang; Dolado, Juan J.; Gonzalo, Jesus
作者单位：Peking University; Peking University Shenzhen Graduate School (PKU Shenzhen); Universidad Carlos III de Madrid
摘要：Quantile factor models (QFM) represent a new class of factor models for high-dimensional panel data. Unlike approximate factor models (AFM), which only extract mean factors, QFM also allow unobserved factors to shift other relevant parts of the distributions of observables. We propose a quantile regression approach, labeled Quantile Factor Analysis (QFA), to consistently estimate all the quantile-dependent factors and loadings. Their asymptotic distributions are established using a kernel-smoo...
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作者：Mbakop, Eric; Tabord-Meehan, Max
作者单位：University of Calgary; University of Chicago
摘要：This paper studies a penalized statistical decision rule for the treatment assignment problem. Consider the setting of a utilitarian policy maker who must use sample data to allocate a binary treatment to members of a population, based on their observable characteristics. We model this problem as a statistical decision problem where the policy maker must choose a subset of the covariate space to assign to treatment, out of a class of potential subsets. We focus on settings in which the policy ...
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作者：Bartholdi, Laurent; Hann-Caruthers, Wade; Josyula, Maya; Tamuz, Omer; Yariv, Leeat
作者单位：University of Gottingen; California Institute of Technology; University of California System; University of California San Diego; Princeton University
摘要：May's theorem (1952), a celebrated result in social choice, provides the foundation for majority rule. May's crucial assumption of symmetry, often thought of as a procedural equity requirement, is violated by many choice procedures that grant voters identical roles. We show that a weakening of May's symmetry assumption allows for a far richer set of rules that still treat voters equally. We show that such rules can have minimal winning coalitions comprising a vanishing fraction of the populati...
