Monitoring, Sanctions and Front-Loading of Job Search in a Non-Stationary Model

We develop and estimate a non-stationary job search model to evaluate a scheme that monitors job search effort and sanctions insured unemployed whose effort is deemed insufficient. The model reveals that such schemes provide incentives to the unemployed to front-load search effort prior to monitoring. This causes the job finding rate to increase above the post sanction level. After validating the model both internally and externally, we conclude that the scheme is effective in raising the job finding rate with minor wage losses. A basic cost-benefit analysis demonstrates that welfare losses for the unemployed are compensated by net efficiency gains for public authorities and society.monitoring, sanctions, non-stationary job search, unemployment benefits, structural estimation

Monitoring, Sanctions and Front-Loading of Job Search in a Non-Stationary Model

We develop and estimate a non-stationary job search model to evaluate a scheme that monitors job search effort and sanctions insured unemployed whose effort is deemed insufficient. The model reveals that such schemes provide incentives to the unemployed to front-load search effort prior to monitoring. This causes the job finding rate to increase above the post sanction level. After validating the model both internally and externally, we conclude that the scheme is effective in raising the job finding rate with minor wage losses. A basic cost-benefit analysis demonstrates that welfare losses for the unemployed are compensated by net efficiency gains for public authorities and society.Monitoring, sanctions, non-stationary job search, unemployment benefits, structural estimation

Monitoring, Sanctions and Front-Loading of Job Search in a Non-Stationary Model

We develop and estimate a non-stationary job search model to evaluate a scheme that monitors job search effort and sanctions insured unemployed whose effort is deemed insufficient. The model reveals that such schemes provide incentives to the unemployed to front-load search effort prior to monitoring. This causes the job finding rate to increase above the post sanction level. After validating the model both internally and externally, we conclude that the scheme is effective in raising the job finding rate with minor wage losses. A basic cost-benefit analysis demonstrates that welfare losses for the unemployed are compensated by net efficiency gains for public authorities and society.monitoring, sanctions, non-stationary job search, unemployment benefits, structural estimation

Monitoring, Sanctions and Front-Loading of Job Search in a Non-Stationary Model

We develop and estimate a non-stationary job search model to evaluate as scheme that monitors job search effort and sanctions insured unemployed whose effort is deemed insufficient. The model reveals that such schemes provide incentives to the unemployed to front-load search effort prior to monitoring. This causes the job finding rate to increase above the post sanction level. After validating the model both internally and externally, we conclude that the scheme is effective in raising the job finding rate with minor wage losses. A basic cost-benefit analysis demonstrates that welfare losses for the unemployed are compensated by net efficiency gains for public authorities and society.Monitoring, sanctions, non-stationary job search, unemployment benefits, structural estimation

Global meteorological forecast data and instrumental measurement application for simulation of mesoscale atmospheric boundary layer processes

The accuracy of the results of numerical modeling of local atmospheric processes, in particular those in the ground layer, to a great extend depends on the input data characterizing the initial state of meteorological parameters within the area of research or their variation at the boundary. The paper considers a mesoscale model of atmospheric ground layer where medium-range weather prediction data calculated with the help of the global SL-AV model of the Hydrometcenter of the RF are applied as the initial and boundary conditions. Besides, the results of measurements carried out in the Institute of Monitoring of Climatic and Ecological Systems, SB RAS (IMCES) with the help of meteorological stations and temperature profiler are used for quality improvement

Using weather prediction data for simulation of mesoscale atmospheric processes

The paper presents an approach to specify initial and boundary conditions from the output data of global model SLAV for mesoscale modelling of atmospheric processes in areas not covered by meteorological observations. From the data and the model equations for a homogeneous atmospheric boundary layer the meteorological and turbulent characteristics of the atmospheric boundary layer are calculated. © (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only

Towards Understanding the Known-Key Security of Block Ciphers

Known-key distinguishers for block ciphers were proposed by Knudsen and Rijmen at ASIACRYPT 2007 and have been a major research topic in cryptanalysis since then. A formalization of known-key attacks in general is known to be difficult. In this paper, we tackle this problem for the case of block ciphers based on ideal components such as random permutations and random functions as well as propose new generic known-key attacks on generalized Feistel ciphers. We introduce the notion of known-key indifferentiability to capture the security of such block ciphers under a known key. To show its meaningfulness, we prove that the known-key attacks on block ciphers with ideal primitives to date violate security under known-key indifferentiability. On the other hand, to demonstrate its constructiveness, we prove the balanced Feistel cipher with random functions and the multiple Even-Mansour cipher with random permutations known-key indifferentiable for a sufficient number of rounds. We note that known-key indifferentiability is more quickly and tightly attained by multiple Even-Mansour which puts it forward as a construction provably secure against known-key attacks

Meteorological optical range predictability with the use of high resolution mesoscale models

The report describes and argues in favor of the data base for numerical experiments with hydrodynamic and photochemical atmospheric models with the purpose of the meteorological visibility forecast. The obtained results demonstrate methodological potential of this approach. © (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only