8,626 research outputs found

    The Effect of Migration on Earnings and Welfare Benefit Receipt

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    This paper analyzes the outcomes of single mothers who move. I find that the earnings of single mother movers decline sharply relative to stayers in the years before moving. Based on this evidence, I propose a model in which individuals migrate in order to break away from persistent negative earnings shocks. On average, the wage earner migrants increase their expected earnings and income nineteen percent by migrating. Of the women who primarily receive welfare benefits, most change their earnings and income little by migrating.

    The Effect of High School Effort on Future Earnings

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    This essay examines the role of studying in determining future wages. Much of the returns to education literature focuses on the extensive margin by determining the benefit of an extra year of schooling. This essay examines the intensive margin. This essay also analyzes other determinants of wages, and how they relate to an individual's studying behavior and education level decisions. The results from estimating a structural model indicate only a negligible relationship between earnings and studying. A second finding suggests ignoring parental income as a determinant of wages considerably overstates the returns to education.

    The Roles of Education, Skill and Parental Income in Determining Wages

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    This study attempts to examine how much of the correlation in incomes across generations can be explained by education and skill. I find two different answers to this question depending on how I instrument for years of schooling. Using quarter of birth and proximity to a local college as instruments, I find high returns to schooling, low returns to skill, and most of the intergenerational mobility coefficient explained. However, these instruments are poorly correlated with years of education. Thus, the estimates are imprecise and potentially biased. Furthermore, using family background variables as instruments, I find the opposite results.

    Reduction of Markov Chains using a Value-of-Information-Based Approach

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    In this paper, we propose an approach to obtain reduced-order models of Markov chains. Our approach is composed of two information-theoretic processes. The first is a means of comparing pairs of stationary chains on different state spaces, which is done via the negative Kullback-Leibler divergence defined on a model joint space. Model reduction is achieved by solving a value-of-information criterion with respect to this divergence. Optimizing the criterion leads to a probabilistic partitioning of the states in the high-order Markov chain. A single free parameter that emerges through the optimization process dictates both the partition uncertainty and the number of state groups. We provide a data-driven means of choosing the `optimal' value of this free parameter, which sidesteps needing to a priori know the number of state groups in an arbitrary chain.Comment: Submitted to Entrop

    Partitioning Relational Matrices of Similarities or Dissimilarities using the Value of Information

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    In this paper, we provide an approach to clustering relational matrices whose entries correspond to either similarities or dissimilarities between objects. Our approach is based on the value of information, a parameterized, information-theoretic criterion that measures the change in costs associated with changes in information. Optimizing the value of information yields a deterministic annealing style of clustering with many benefits. For instance, investigators avoid needing to a priori specify the number of clusters, as the partitions naturally undergo phase changes, during the annealing process, whereby the number of clusters changes in a data-driven fashion. The global-best partition can also often be identified.Comment: Submitted to the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP

    An Analysis of the Value of Information when Exploring Stochastic, Discrete Multi-Armed Bandits

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    In this paper, we propose an information-theoretic exploration strategy for stochastic, discrete multi-armed bandits that achieves optimal regret. Our strategy is based on the value of information criterion. This criterion measures the trade-off between policy information and obtainable rewards. High amounts of policy information are associated with exploration-dominant searches of the space and yield high rewards. Low amounts of policy information favor the exploitation of existing knowledge. Information, in this criterion, is quantified by a parameter that can be varied during search. We demonstrate that a simulated-annealing-like update of this parameter, with a sufficiently fast cooling schedule, leads to an optimal regret that is logarithmic with respect to the number of episodes.Comment: Entrop

    Supermassive Black Hole Formation at High Redshifts via Direct Collapse: Physical Processes in the Early Stage

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    We use numerical simulations to explore whether direct collapse can lead to the formation of SMBH seeds at high-z. We follow the evolution of gas within DM halos of 2 x 10^8 Mo and 1 kpc. We adopt cosmological density profiles and j-distributions. Our goal is to understand how the collapsing flow overcomes the centrifugal barrier and whether it is subject to fragmentation. We find that the collapse leads either to a central runaway or to off-center fragmentation. A disk-like configuration is formed inside the centrifugal barrier. For more cuspy DM distribution, the gas collapses more and experiences a bar-like perturbation and a central runaway. We have followed this inflow down to ~10^{-4} pc. The flow remains isothermal and the specific angular momentum is efficiently transferred by gravitational torques in a cascade of nested bars. This cascade supports a self-similar, disk-like collapse. In the collapsing phase, virial supersonic turbulence develops and fragmentation is damped. For larger initial DM cores the timescales become longer. In models with more organized initial rotation, a torus forms and appears to be supported by turbulent motions. The evolution depends on the competition between two timescales, corresponding to the onset of the central runaway and off-center fragmentation. For less organized rotation, the torus is greatly weakened, the central accretion timescale is shortened, and off-center fragmentation is suppressed --- triggering the central runaway even in previously `stable' models. The resulting SMBH masses lie in the range 2 x 10^4 Mo - 2 x 10^6 Mo, much higher than for Population III remnants. We argue that the above upper limit appears to be more realistic mass. Corollaries of this model include a possible correlation between SMBH and DM halo masses, and similarity between the SMBH and halo mass functions, at time of formation.Comment: 20 pages, 15 figures, 3 tables. Accepted for publication in the Astrophysical Journa
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