The evaluation of the hidden economy involves major difficulties related to the use of an adequate methodology and to ensuring the necessary database for estimating some econometric models and some economic variables. The studies conducted showed that the size and forms of the informal economy...

This paper presents a number of issues related to the mobility of civil servants and to the politicizing the civil service in Romania in the period 2000-2010. Analysis of the politicization phenomenon has allowed identification of three stages: 2000-2004, 2005-2008 and 2009-present. Application...

This paper presents an analysis of some issues related to the corruption and performance of services in the public health. Reform of public health is a complex and lengthy process, which involves different types of institutions and individuals. In this paper, starting from a set of hypotheses,...

The paper investigates some features of the corruption in the public administration in a country, which is in the process of integrating into the new structures of the European Union. We estimated the parameters of a regression model that analyses factors like political system pressure,...

In this paper we develop algorithms to solve macro econometric models with forward-looking variables based on Newton method for nonlinear systems of equations. The most difficult step for New-ton methods represents the resolution of a large linear system for each iteration. Thus, we compare the...

This paper examines the impact of decentralization of the public health system on health state of the population by means of an adequate econometric model and data series at development regions level measured by two global indicators, namely infant mortality and life expectancy. The results...

Nowadays, the paradigm of parallel computing is changing. CUDA is now a popular programming model for general purpose computations on GPUs and a great number of applications were ported to CUDA obtaining speedups of orders of magnitude comparing to optimized CPU implementations. Hybrid...

Parallel computing can offer an enormous advantage regarding the performance for very large applications in almost any field: economics, scientific computing, computer vision, databases, data mining. GPUs are high performance many-core processors that can obtain very high FLOP rates. Since the...