716 resultados para Non-competitive labor markets


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Includes bibliographical references (p. 149-157)

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Item 231-B-1

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Description based on: 1952.

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Mode of access: Internet.

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"Report date: 2/26/74."--Bibliographic data sheet.

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"May 1975."

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"October 1990."

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"This chartbook provides comparable information that can be used to assess United States (U.S.) economic and labor performance relative to other countries and to evaluate the competitive position of the U.S. in international trade." -- Foreword.

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Cover title: Transportation, communication & trade occupations in Tennessee, 1979.

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This study is an empirical and theoretical contribution to the burgeoning literature on gender and competitive boxing. By using Connell's concepts of labor, power, cathexis, and representation and a combination of content and semiotic analysis, interviews, and observations, we argue that competitive boxing can be studied productively as a paradoxical gender regime that simultaneously enables and constrains how women do gender. On one hand, the sport encourages individual women to display physical aggression when such behavior traditionally has been deemed the antithesis of femininity. Some feminists argue that this form of physical feminism enables women to transcend essentialist discourses that restrict their corporeal power. On the other hand, women boxers in general also encounter resistance to their aspirations. For example, they are still positioned by essentialist discourses about both their bodies and capacity to develop the requisite form of controlled aggression. Strongly gendered links between bodily labor and bodily capital also mean that women have less access to resources than do men and, consequently, fewer opportunities to develop their pugilistic capital. We also maintain that competitive women boxers are implicated in a body project that tends to replicate sporting practices that some feminists and pro-feminists argue are damaging to both men and women.

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ATP and glutamate are fast excitatory neurotransmitters in the central nervous system acting primarily on ionotropic P2X and glutamate [N-methyl-D-aspartate (NMDA) and non-NMDA] receptors, respectively. Both neurotransmitters regulate synaptic plasticity and long-term potentiation in hippocampal neurons. NMDA receptors are responsible primarily for the modulatory action of glutamate, but the mechanism underlying the modulatory effect of ATP remains uncertain. In the present study, the effect of ATP on recombinant NR1a + 2A, NR1a + 2B, and NR1a + 2C NMDA receptors expressed in Xenopus laevis oocytes was investigated. ATP inhibited NR1a + 2A and NR1a + 2B receptor currents evoked by low concentrations of glutamate but potentiated currents evoked by saturating glutamate concentrations. In contrast, ATP potentiated NR1a + 2C receptor currents evoked by nonsaturating glutamate concentrations. ATP shifted the glutamate concentration-response curve to the right, indicating a competitive interaction at the agonist binding site. ATP inhibition and potentiation of glutamate-evoked currents was voltage-independent, indicating that ATP acts outside the membrane electric field. Other nucleotides, including ADP, GTP, CTP, and UTP, inhibited glutamate-evoked currents with different potencies, revealing that the inhibition is dependent on both the phosphate chain and nucleotide ring structure. At high concentrations, glutamate outcompetes ATP at the agonist binding site, revealing a potentiation of the current. This effect must be caused by ATP binding at a separate site, where it acts as a positive allosteric modulator of channel gating. A simple model of the NMDA receptor, with ATP acting both as a competitive antagonist at the glutamate binding site and as a positive allosteric modulator at a separate site, reproduced the main features of the data.

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Vector error-correction models (VECMs) have become increasingly important in their application to financial markets. Standard full-order VECM models assume non-zero entries in all their coefficient matrices. However, applications of VECM models to financial market data have revealed that zero entries are often a necessary part of efficient modelling. In such cases, the use of full-order VECM models may lead to incorrect inferences. Specifically, if indirect causality or Granger non-causality exists among the variables, the use of over-parameterised full-order VECM models may weaken the power of statistical inference. In this paper, it is argued that the zero–non-zero (ZNZ) patterned VECM is a more straightforward and effective means of testing for both indirect causality and Granger non-causality. For a ZNZ patterned VECM framework for time series of integrated order two, we provide a new algorithm to select cointegrating and loading vectors that can contain zero entries. Two case studies are used to demonstrate the usefulness of the algorithm in tests of purchasing power parity and a three-variable system involving the stock market.