Entity

Time filter

Source Type


Caraiani P.,Institute for Economic Forecasting
Economic Computation and Economic Cybernetics Studies and Research | Year: 2012

A New Keynesian model with fiscal and monetary policies interactions is tested for Romanian economy. The estimation is done on quarterly data using the Bayesian approach. There is clear evidence of interactions between monetary and fiscal policy both in the estimated reaction functions as well as in the historical decompositions of policy variables. Source


Caraiani P.,Institute for Economic Forecasting
Economic Computation and Economic Cybernetics Studies and Research | Year: 2010

I estimate a New Keynesian model augmented with a financial accelerator on quarterly data from Romanian economy. The approach is Bayesian, which is very useful in the context of a limited sample of data. The estimation indicates that the financial accelerator is significant. The presence of financial frictions leads to an augmentation of the volatility of production and investments. The monetary policy shocks as well as the productivity shocks lead to ampler and more persistent shocks than in previous basic New Keynesian models estimated on Romanian economy. Source


Salvador-Carulla L.,University of Sydney | Amaddeo F.,University of Verona | Gutierrez-Colosia M.R.,University of Seville | Salazzari D.,University of Verona | And 15 more authors.
International Journal of Integrated Care | Year: 2015

Introduction: Mental health care is a critical area to better understand integrated care and to pilot the different components of the integrated care model. However, there is an urgent need for better tools to compare and understand the context of integrated mental health care in Europe. Method: The REMAST tool (REFINEMENT MApping Services Tool) combines a series of standardised health service research instruments and geographical information systems (GIS) to develop local atlases of mental health care from the perspective of horizontal and vertical integrated care. It contains five main sections: (a) Population Data; (b) the Verona Socio-economic Status (SES) Index; (c) the Mental Health System Checklist; (d) the Mental Health Services Inventory using the DESDE-LTC instrument; and (e) Geographical Data. Expected results: The REMAST tool facilitates context analysis in mental health by providing the comparative rates of mental health service provision according to the availability of main types of care; care placement capacity; workforce capacity; and geographical accessibility to services in the local areas in eight study areas in Austria, England, Finland, France, Italy, Norway, Romania and Spain. Discussion: The outcomes of this project will facilitate cooperative work and knowledge transfer on mental health care to the different agencies involved in mental health planning and provision. This project would improve the information to users and society on the available resources for mental health care and system thinking at the local level by the different stakeholders. The techniques used in this project and the knowledge generated could eventually be transferred to the mapping of other fields of integrated care. © 2015, Igitur, Utrecht Publishing and Archiving Services. All rights reserved. Source


Albu L.L.,Institute for Economic Forecasting | Lupu R.,Institute for Economic Forecasting | Calin A.C.,Institute for Economic Forecasting
Economic Computation and Economic Cybernetics Studies and Research | Year: 2015

The property of asymmetry is fundamental in the study of financial volatility. In this paper we try to characterize the dynamics of asymmetric volatilities across European stock markets through the use of a modeling method that incorporates a series of GARCH initiatives and the Markov Switching approach. In addition to this, we aim to investigate the manner in which volatility asymmetry influences the evolution of sentiment indexes. Basing our analysis on the MIDAS methodology, (Mi(xed) Da(ta) S(ampling)) we find clear evidence about an existing relation between the two observed variables. © 2015, Academy of Economic Studies. All rights reserved. Source


Albu L.-L.,Institute for Economic Forecasting | Lupu R.,Institute for Economic Forecasting | Calin A.C.,Institute for Economic Forecasting
Economic Computation and Economic Cybernetics Studies and Research | Year: 2015

The connection between the macroeconomic development on one hand and the stock market dynamics on the other hand is the focus of many research initiatives. We are trying to apply the methodology used in the field of macroeconomic convergence to the dynamics of market capitalization for European economies. Under the general standard form of the convergence theory, which states that in the long run, as income per capita increases its corresponding growth rate will decrease, we propose a non-linear model that simulates the convergence based on data for the Central and Eastern European countries pursuing the estimation of a theoretical (hypothetical) optimal trend with respect to certain rational criteria. The model is applied on both macroeconomic variables and the market capitalization and we relate the differences that were found to the increased volatility of the latter set of data. © 2015, Academy of Economic Studies. All rights reserved. Source

Discover hidden collaborations