383 research outputs found

    Economic Analysis of Recovery in States with Higher Minimum Wages than National Law

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    I explore two groupings of states separated by whether or not their minimum wage is higher than the federal minimum wage to help better understand the potential effects of the minimum wage on employment. This piece looks directly at economic recovery in recession. Direct employment has been studied extensively but with mixed results, this piece takes a more macro viewpoint on the data from a labor sector standpoint and proposes other variables that could impact jobs. The data are analyzed through an OLS linear regression model for both combined and separated groups. The data show that the negative expected impact from the minimum wage on recovery is not supported and actually the opposite is statistically significant in the data set. More data need to be analyzed and added to better understand this complex issue. Nevertheless, the analysis provides an interesting discussion point related to the inherently complex issue of the minimum wage and implies that policymakers in states with higher than federally mandated minimum wages may not need to be as concerned about massive layoffs during recession and recovery years

    Survival and Neural Models for Private Equity Exit Prediction

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    Within the Private Equity (PE) market, the event of a private company undertaking an Initial Public Offering (IPO) is usually a very high-return one for the investors in the company. For this reason, an effective predictive model for the IPO event is considered as a valuable tool in the PE market, an endeavor in which publicly available quantitative information is generally scarce. In this paper, we describe a data-analytic procedure for predicting the probability with which a company will go public in a given forward period of time. The proposed method is based on the interplay of a neural network (NN) model for estimating the overall event probability, and Survival Analysis (SA) for further modeling the probability of the IPO event in any given interval of time. The proposed neuro-survival model is tuned and tested across nine industrial sectors using real data from the Thomson Reuters Eikon PE database

    Patient, caregiver, and provider perceptions of pain and pain management in adolescents and young adults with bleeding disorders

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    Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/139896/1/hae13293_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/139896/2/hae13293.pd

    Humans:the missing link in manufacturing simulation?

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    Computer based discrete event simulation (DES) is one of the most commonly used aids for the design of automotive manufacturing systems. However, DES tools represent machines in extensive detail, while only representing workers as simple resources. This presents a problem when modelling systems with a highly manual work content, such as an assembly line. This paper describes research at Cranfield University, in collaboration with the Ford Motor Company, founded on the assumption that human variation is the cause of a large percentage of the disparity between simulation predictions and real world performance. The research aims to improve the accuracy and reliability of simulation prediction by including models of human factors

    Nonlinear excitations in arrays of Bose-Einstein condensates

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    The dynamics of localized excitations in array of Bose-Einstein condensates is investigated in the framework of the nonlinear lattice theory. The existence of temporarily stable ground states displaying an atomic population distributions localized on very few lattice sites (intrinsic localized modes), as well as, of atomic population distributions involving many lattice sites (envelope solitons), is studied both numerically and analytically. The origin and properties of these modes are shown to be inherently connected with the interplay between macroscopic quantum tunnelling and nonlinearity induced self-trapping of atoms in coupled BECs. The phenomenon of Bloch oscillations of these excitations is studied both for zero and non zero backgrounds. We find that in a definite range of parameters, homogeneous distributions can become modulationally unstable. We also show that bright solitons and excitations of shock wave type can exist in BEC arrays even in the case of positive scattering length. Finally, we argue that BEC array with negative scattering length in presence of linear potentials can display collapse.Comment: Submitted to Phys. Rev.
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