3,307 research outputs found

    An Explanation of the Action of the House of Delegates*

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    Remote sensing for oceanography: Past, present, future

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    Oceanic dynamics was traditionally investigated by sampling from instruments in situ, yielding quantitative measurements that are intermittent in both space and time; the ocean is undersampled. The need to obtain proper sampling of the averaged quantities treated in analytical and numerical models is at present the most significant limitation on advances in physical oceanography. Within the past decade, many electromagnetic techniques for the study of the Earth and planets were applied to the study of the ocean. Now satellites promise nearly total coverage of the world's oceans using only a few days to a few weeks of observations. Both a review of the early and present techniques applied to satellite oceanography and a description of some future systems to be launched into orbit during the remainder of this century are presented. Both scientific and technologic capabilities are discussed

    The A.M.A. and Birth Control

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    Review of "The Handbook of Pluralist Economics Education"

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    Review of 'The Handbook of Pluralist Economics Education' by J. Reardon

    Pluralism and Economic Education: a Learning Theory Approach

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    Preparing students to participate in social and economic life after graduation is a widely held goal of economics instructors. How that goal is achieved and interpretations of what is a relevant skill, however, are a source of debate, covering both content coverage and pedagogical practices. This paper argues that a more pluralistic approach to both course content and pedagogy is fundamental for better preparing economics students for the world, and that learning theory is an integral component of understanding how to design practices to achieve desired outcomes.

    ESTIMATING PRODUCTIVITY DYNAMICS DURING INSTITUTIONAL CHANGE: AN APPLICATION TO CHINESE STATE OWNED ENTERPRISES 1980-1994

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    We estimate the productivity dynamics of 680 industrial Chinese State-Owned Enterprises (SOEs) between 1980 and 1994. During this time managerial autonomy over factor markets was introduced. The timing of autonomy varied across SOEs and take-up was an endogenous process: high-productivity SOEs where more likely to take managerial control. We allow for this by adapting an algorithm developed in Olley & Pakes (1996) in order to generate estimates of productivity dynamics that deal with both simultaneity and endogenous selection biases. Apart from offering a methodology to estimate productivity dynamics during endogenous institutional change, we demonstrate that SOEs in China obtained productivity gains from managerial autonomy over factor markets in the years before privatisation.

    Reforms and Productivity Dynamics in Chinese State-Owned Enterprises

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    Institutional change has taken place incrementally since 1978 for State-Owned Enterprises (SOEs) in the Industrial Sector of China. We will provide evidence for the notion that this is largely due to increased domestic competitive pressures and the opportunities arising from the integration of international markets. In this paper we estimate the effect of deep reform (the right to hire and fire labour, buy and sell capital and operate on international markets) on the productivity dynamics of entreprises. Using a unique balanced panel of681 SOEs for the period 1980 to 1994, we find consistent production function estimatesusing an algorithm put forward in Olley and Pakes (1996), which estimates using an simultaneity bias. Futhermore, we allow selection bias by formulating an entry that exposure to deep reform hav lead to higher productivity realisations while remaining under state ownership.

    Successful Factor Market Competition Pre-Privatisation? China`s eclectic.com

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    Can factor market competition, given pertinent incentives, bring about efficiency gains, or is privatisation necessary? We assess the impact of factor market competition on Chinese state-owned enterprises' productivity in a laboratory-like setting. The empirical evidence suggests that substantial efficiency gains are achievable pre-privatisation. Methodologically, we adapt an algorithm developed by Olley and Pakes (1996) which deals with simultaneity and selection bias in production function estimation. This is required since the reform process that introduced factor market competition involved endogenous group selection. While macro-level timing was important, enterprise characteristics, chiefly capital intensity and productivity, played an important role in the sequencing of reforms. Further, reform-induced competitive pressures brought about significant efficiency gains prior to privatisation. Finally, not controlling for selection bias would have resulted in an overestimation of reform-related productivity gains by up to fifty percent.

    XYZ Privacy

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    Future autonomous vehicles will generate, collect, aggregate and consume significant volumes of data as key gateway devices in emerging Internet of Things scenarios. While vehicles are widely accepted as one of the most challenging mobility contexts in which to achieve effective data communications, less attention has been paid to the privacy of data emerging from these vehicles. The quality and usability of such privatized data will lie at the heart of future safe and efficient transportation solutions. In this paper, we present the XYZ Privacy mechanism. XYZ Privacy is to our knowledge the first such mechanism that enables data creators to submit multiple contradictory responses to a query, whilst preserving utility measured as the absolute error from the actual original data. The functionalities are achieved in both a scalable and secure fashion. For instance, individual location data can be obfuscated while preserving utility, thereby enabling the scheme to transparently integrate with existing systems (e.g. Waze). A new cryptographic primitive Function Secret Sharing is used to achieve non-attributable writes and we show an order of magnitude improvement from the default implementation.Comment: arXiv admin note: text overlap with arXiv:1708.0188
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