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The book presents an analysis of the transition from unemployment to self-employment and its subsidisation with the so-called "bridging allowance" in Germany. On the basis of econometric models, the determinants and the success of self-employment among former unemployed are estimated at the individual as well as at the firm level. By comparing different groups of the formerly unemployed, it becomes evident that self-employment is one successful route out of unemployment, as self-employment proves to be more stable than paid-employment. Therefore, the bridging allowance reaches its aim of regaining stable employment for the unemployed. However, this programme fails to create additional employment in the newly founded firms.
This book presents a selection of revised full papers accepted for presentation at the First International Conference on Biology, Informatics, and Mathematics, JOBIM 2000, held in Montpellier, France, in May 2000. The 13 papers included in the book were selected after two rounds of reviewing and revision from a total of 67 submissions. Among the topics addressed are algorithms, comparative genomics, evolution, phylogeny, databases, knowledge processing, genome anotation, graph theory, combinatorial mathematics, macromolecular structures, RNA and proteins, metabolic pathways and regulatory networks, and statistics and classification.
As developing and transition economies enter the next phase of reforms, labor market issues increasingly come to the fore. With the increased competition from globalization, the discussion is shifting to the need for greater labor market flexibility and the creation of "good" jobs. Moreover, the greater actual and perceived insecurity in labor markets has generated a new agenda on how to structure safety nets and labor market regulation. The older questions of the links between the formal and informal labor market, reappear with new dimensions and significance. More generally, it is clear that an accurate understanding of how labor market structures function is essential if we are to analyze alternative policy proposals in the wake of these concerns. Oddly enough, in spite of this great importance, there are no recent monographs that bring together rigorous studies produced by academic researchers on these various issues. This book fills that gap. Under the steely editorship of Ravi Kanbur and Jan Svejnar, the contributors flourish in their attempts to enliven these debates.
Gain a comprehensive understanding of the development of entrepreneurship across Eastern Europe Throughout Eastern Europe, post-Communist countries transitioning to market-based economies are obtaining a variety of results due to diverse policy approaches. When Economies Change Hands evaluates the nature of entrepreneurship in this region, the consequences of central planning, the reasons for internal subsistence activity, and the emergence of the sex trade in Eastern Europe. The wealth of information in this resource is clearly presented and includes thought-provoking policy prescriptions for the future. It is challenging to predict the direction emerging markets will take, particularly whe...
Nearly 3% of the world’s population no longer live in the country where they were born. George Borjas synthesizes the theories, models, and econometric methods used to identify the causes and consequences of international labor flows, and lays out with clarity a full spectrum of topics with crucial implications for framing debates over immigration.
Innovation-oriented environmental regulation is extremely attractive for policy planners and decision makers, since it is expected that innovations can cut costs of environmental measures and overcome existing trade-offs between economic and ecological goals. The central question is, however, how such a regulatory regime of environmental policy approaches should look like. This book provides an excellent overview of the state of research by presenting and discussing theoretical approaches towards a framework of environmental regulation and innovation, international case studies as well as econometric and modelling studies from Europe and the USA.
This book consists of four parts: I. Labour demand and supply, II. Productivity slowdown and innovative activity, III. Disequilibrium and business cycle analysis, and IV. Time series analysis of output and employment. It presents a fine selection of articles in the growing field ofthe empirical analysis of output and employment fluctuations with applications in a micro-econometric or a time-series framework. The time-series literature recently has emphasized the careful testing for stationarity and nonlinearity in the data, and the importance of cointegration theory. An essential part of the papers make use of parametric and non-parametric methods developed in this literature and mostly connect their results to the hysteresis discussion about the existence of fragile equilibria. A second set of macro approaches use the disequilibrium framework that has found so much interest in Europe in recent years. The other papers use newly developed methods for microdata,especially qualitative data or limited dependent variables to study microeconomic models of behaviour that explain labour market and output decisions.
This book constitutes the refereed proceedings of the 5th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2004, held in Exeter, UK, in August 2004. The 124 revised full papers presented were carefully reviewed and selected from 272 submissions. The papers are organized in topical sections on bioinformatics, data mining and knowledge engineering, learning algorithms and systems, financial engineering, and agent technologies.
Presenting original contributions from the key experts in the field, the Research Handbook on the Sociology of Education explores the major theoretical, methodological, empirical and political challenges and pressing social questions facing education in current times.
An observational study infers the effects caused by a treatment, policy, program, intervention, or exposure in a context in which randomized experimentation is unethical or impractical. One task in an observational study is to adjust for visible pretreatment differences between the treated and control groups. Multivariate matching and weighting are two modern forms of adjustment. This handbook provides a comprehensive survey of the most recent methods of adjustment by matching, weighting, machine learning and their combinations. Three additional chapters introduce the steps from association to causation that follow after adjustments are complete. When used alone, matching and weighting do not use outcome information, so they are part of the design of an observational study. When used in conjunction with models for the outcome, matching and weighting may enhance the robustness of model-based adjustments. The book is for researchers in medicine, economics, public health, psychology, epidemiology, public program evaluation, and statistics who examine evidence of the effects on human beings of treatments, policies or exposures.