931 resultados para Labor policy.
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Mode of access: Internet.
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Bibliography: p. 58-59.
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Bibliography: leaf 25.
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Photocopy of: 1979 ed.
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Includes bibliographical references (leaves 17-21).
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Report prepared by John W. Trutkow of James Bell Associates and Burt S. Barnow, Any B. Chasanov, and Abhay Pande of Lewin-ICF under Dept. of Labor contract no. 99-9-4701-75-077-01.
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[1] The development of collection bargaining on a national basis.--[2] Industrial relations on railroads prior to 1917.--[3] The sanction of the eight-hour day.--[4] Seniority rules of the national agreement.--[5] The recognition of human standards in industry.--[6] Human standards and railroad policy.--[7] Railroad boards of labor adjustment.--[8] Punitive overtime.--[9] Rules prior to national agreement.--[10] Occupation hazard of railway shopmen.--[11] The work of the railway carmen.--[12] The unity of the American railway system.--[13-16] Inadequacies of railway management, part I-IV.--[17] Specific cases cited by Mr. Whiter, and employees' rebuttal.--[18] Standardization.--[19] The problem of piece work.
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Robert Ramspeck, chairman of subcommittee.
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Energy crops production is considered as environmentally benign and socially acceptable, offering ecological benefits over fossil fuels through their contribution to the reduction of greenhouse gases and acidifying emissions. Energy crops are subjected to persistent policy support by the EU, despite their limited or even marginally negative impact on the greenhouse effect. The present study endeavors to optimize the agricultural income generated by energy crops in a remote and disadvantageous region, with the assistance of linear programming. The optimization concerns the income created from soybean, sunflower (proxy for energy crop), and corn. Different policy scenarios imposed restrictions on the value of the subsidies as a proxy for EU policy tools, the value of inputs (costs of capital and labor) and different irrigation conditions. The results indicate that the area and the imports per energy crop remain unchanged, independently of the policy scenario enacted. Furthermore, corn cultivation contributes the most to iFncome maximization, whereas the implemented CAP policy plays an incremental role in uptaking an energy crop. A key implication is that alternative forms of motivation should be provided to the farmers beyond the financial ones in order the extensive use of energy crops to be achieved.
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The article focuses on the labour market situation and opportunities of the Hungarian vocational students. After briefly placing the topic in an international context, the study introduces the findings of the Hungarian empirical researches. Due to the differences between the various national education systems, it is not easy to make international comparisons; therefore I chose former socialist countries with characteristics similar to those of Hungary. When comparing the relevant data, it became clear that obtaining a diploma provides more advantages in Hungary. Hungarian researches suggest that vocational schools mostly attract students with poor competence test scores at the end of primary school. Also a significant proportion of these students are disadvantaged. Vocational students are the most likely to drop out of the system and their return to the school later is sporadic at best. Although a completed VET improves their employment conditions and prospects, many of the graduates will leave their profession or do unskilled labour. Their labour income varies greatly depending on their type of trade and experience gained.
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This dissertation consists of three separate essays on job search and labor market dynamics. In the first essay, “The Impact of Labor Market Conditions on Job Creation: Evidence from Firm Level Data”, I study how much changes in labor market conditions reduce employment fluctuations over the business cycle. Changes in labor market conditions make hiring more expensive during expansions and cheaper during recessions, creating counter-cyclical incentives for job creation. I estimate firm level elasticities of labor demand with respect to changes in labor market conditions, considering two margins: changes in labor market tightness and changes in wages. Using employer-employee matched data from Brazil, I find that all firms are more sensitive to changes in wages rather than labor market tightness, and there is substantial heterogeneity in labor demand elasticity across regions. Based on these results, I demonstrate that changes in labor market conditions reduce the variance of employment growth over the business cycle by 20% in a median region, and this effect is equally driven by changes along each margin. Moreover, I show that the magnitude of the effect of labor market conditions on employment growth can be significantly affected by economic policy. In particular, I document that the rapid growth of the national minimum wages in Brazil in 1997-2010 amplified the impact of the change in labor market conditions during local expansions and diminished this impact during local recessions.
In the second essay, “A Framework for Estimating Persistence of Local Labor
Demand Shocks”, I propose a decomposition which allows me to study the persistence of local labor demand shocks. Persistence of labor demand shocks varies across industries, and the incidence of shocks in a region depends on the regional industrial composition. As a result, less diverse regions are more likely to experience deeper shocks, but not necessarily more long lasting shocks. Building on this idea, I propose a decomposition of local labor demand shocks into idiosyncratic location shocks and nationwide industry shocks and estimate the variance and the persistence of these shocks using the Quarterly Census of Employment and Wages (QCEW) in 1990-2013.
In the third essay, “Conditional Choice Probability Estimation of Continuous- Time Job Search Models”, co-authored with Peter Arcidiacono and Arnaud Maurel, we propose a novel, computationally feasible method of estimating non-stationary job search models. Non-stationary job search models arise in many applications, where policy change can be anticipated by the workers. The most prominent example of such policy is the expiration of unemployment benefits. However, estimating these models still poses a considerable computational challenge, because of the need to solve a differential equation numerically at each step of the optimization routine. We overcome this challenge by adopting conditional choice probability methods, widely used in dynamic discrete choice literature, to job search models and show how the hazard rate out of unemployment and the distribution of the accepted wages, which can be estimated in many datasets, can be used to infer the value of unemployment. We demonstrate how to apply our method by analyzing the effect of the unemployment benefit expiration on duration of unemployment using the data from the Survey of Income and Program Participation (SIPP) in 1996-2007.