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In this paper, we estimate matching functions using disaggregate data. We find strong support for the matching approach, with most specifications implying slightly increasing returns to scale. This finding does not appear to arise from our inclusion of additional controls or from the level of disaggregation, and so we conclude that earlier findings of constant returns in the US may be due to the various approximations needed to construct an aggregate time series. We also find evidence of endogenous job competition between the employed and nonemployed, so that the estimated parameters from a matching function cannot be interpreted as structural parameters.
Most governments in today's market economies spend significant sums of money on labour market programmes. The declared aims of these programmes are to increase the re-employment chances of the unemployed. This book investigates which active labour market programmes in Poland are value for money and which are not. To this end, modern statistical methods are applied to both macro- and microeconomic data. It is shown that training programmes increase, whereas job subsidies and public works decrease the re-employment opportunities of the unemployed. In general, all active labour market policy effects are larger in absolute size for men than for women. By surveying previous studies in the field and outlining the major statistical approaches that are employed in the evaluation literature, the book can be of help to any student interested in programme evaluation irrespective of the paticular programme or country concerned.
A theoretical and empirical examination of wage differentials findsthat traditional theories of competition do not explain why workers with identical skills are paid differently.
The peristence of European unemployment stands in striking contrast to the cyclical pattern of unemployment in the US. Many people attribute the rise in European unemployment to increased imbalances between the pattern of labour demand and supply - in other words, to greater mismatch, but existing mismatch indicators do not support this view. However, the obvious inference is not legitimate because the evidence is based on trended data, and thus gives rise to spurious statistical results. To get around the problem, the author uses the dynamic flow approach to structural unemployment and disaggregated data. The reader will find new results on "non-spurious" mismatch tendencies, occupational reallocation, the matching of apprentices, and the importance of matching and mobility for wage differentials.
Die Fragen, wie der Arbeitsmarkt funktioniert und welchen Einfluss die Politik ausüben kann, sind Dauerbrenner in der gesellschaftlichen und politischen Debatte. Das hierzu nötige Wissen speist sich aus der Arbeitsmarktforschung, die häufig Impulse aus dem Alltagsgeschäft der Arbeitsmarktpolitik bekommt. Umgekehrt laden Fortschritte in der Methodenentwicklung und der Datenerschließung die Arbeitsmarktpolitik dazu ein, neue Fragen aufzuwerfen, die bisher nicht beantwortet werden konnten. Michael Stops greift solche Entwicklungen auf und fokussiert drei Themenbereiche: - Berufliche Mobilität und Effizienz des Arbeitsmarktausgleichs - Die Entwicklung der Effizienz des Arbeitsmarktausgleichs vor, während und nach den Jahren der deutschen Arbeitsmarktreformen 2003-2005 auf beruflichen Teilarbeitsmärkten - Die Wirkung des flächendeckenden Mindestlohns in Großbritannien auf die Beschäftigung 1999-2012
This book presents the contributions to the first Wild@Ace conference. The acronym stands for ?Workshop on Industrial and Labor Dynamics ? The Agent-Based Computational Aproach?, and it has been the first event ever focusing on the very promising use of the agent-based simulation approach for investigation of labor economics and industrial organization issues.Agent-based models are computer models in which a multitude of agents ? each embodied in a specific software code ? interact. These agents can represent individuals households, firms, institutions, etc. Moreover, ?special? agents can be added to observe and monitor individual and collective behavior. One of the main purpose of writing an ACE model is to gain intuitions on the two-way feedback between the microstructure and the macrostructure of a phenomenon of interest. How is it that simple aggregate regularities may arise from individual disorder? Or that a nice structure at an individual level may lead to a complete absence of regularity in the aggregate? How is it that the complex interaction of very simple individuals may lead to surprisingly complicated aggregate dynamics? Or that sophisticated agents may be unable to organize themselves in any interesting way?The book includes contributions by some of the most distinguished researchers in the field, such as the economists Alan Kirman, Giovanni Dosi, Leigh Tesfatsion and Mauro Gallegati, and the sociologist Nigel Gilbert.
Contributions to Mathematical Psychology, Psycho§ metrics and Methodology presents the most esteemed research findings of the 22nd European Mathematical Psychology Group meeting in Vienna, Austria, September 1991. The selection of work appearing in this volume contains not only contributions to mathematical psychology in the narrow sense, but also work in psychometrics and methodology, with the common element of all contributions being their attempt to deal with scientific problems in psychology with rigorous mathematics reasoning. The book contains 28 chapters divided into five parts: Perception, Learning, and Cognition; Choice and Reaction Time; Social Systems; Measurement and Psychometrics; and Methodology. It is of interest to all mathematical psychologists, educational psychologists, and graduate students in these areas.