University rankings – a guide to choose a university?

In a more and more global world, universities compete for both students and faculty staff. Do university rankings offer a good perspective when it comes to choosing a university, as a student or university professor/researcher? This paper presents an analysis of well-known university rankings, trying to answer to the above mentioned question. It also presents an alternative to such rankings, namely intellectual capital evaluation models.university rankings, indicators, intellectual capital

University rankings – a guide to choose a university?

In a more and more global world, universities compete for both students and faculty staff. Do university rankings offer a good perspective when it comes to choosing a university, as a student or university professor/researcher? This paper presents an analysis of well-known university rankings, trying to answer to the above mentioned question. It also presents an alternative to such rankings, namely intellectual capital evaluation models

Intelectual capital (IC) models – a comparative approach

This paper presents a comparative analysis of some intellectual capital models. The analysis is based on four criteria: the main concepts and classifications on which the models are based on, the analysis of functional characteristics, the analysis of operational performances, limitations.intellectual capital, measurement, evaluation, models

Savings in Romania - developments and fundamentals

The paper analyses the savings developments in Romania during transition in comparison with the other CEE countries, starting from the definition of savings from the national accounts. Moreover, saving analysis is performed by institutional sectors, especially for population and nonfinancial companies sectors. Also, the paper assesses the impact of savings on the financial balance sheets of population and companies. Using panel data covering 60 countries for 1980-2009 period, the paper is estimating some quantitative models for saving and its fundamentals. The models which are based on GMM methodology are used afterwards to assess the long term outlook of savings for Romania as well for other countries.private savings; panel data; Ricardian equivalence; disposable income; impact of ageing

University rankings – a guide to choose a university?

In a more and more global world, universities compete for both students and faculty staff. Do university rankings offer a good perspective when it comes to choosing a university, as a student or university professor/researcher? This paper presents an analysis of well-known university rankings, trying to answer to the above mentioned question. It also presents an alternative to such rankings, namely intellectual capital evaluation models

Intelectual capital (IC) models – a comparative approach

This paper presents a comparative analysis of some intellectual capital models. The analysis is based on four criteria: the main concepts and classifications on which the models are based on, the analysis of functional characteristics, the analysis of operational performances, limitations

Intelectual capital (IC) models – a comparative approach

This paper presents a comparative analysis of some intellectual capital models. The analysis is based on four criteria: the main concepts and classifications on which the models are based on, the analysis of functional characteristics, the analysis of operational performances, limitations

Economisirea în România – evoluţii şi factori determinanţi

The paper analyses the savings developments in Romania during transition in comparison with the other CEE countries, starting from the definition of savings from the national accounts. Moreover, saving analysis is performed by institutional sectors, especially for population and nonfinancial companies sectors. Also, the paper assesses the impact of savings on the financial balance sheets of population and companies. Using panel data covering 60 countries for 1980-2009 period, the paper is estimating some quantitative models for saving and its fundamentals. The models which are based on GMM methodology are used afterwards to assess the long term outlook of savings for Romania as well for other countries

Economisirea în România – evoluţii şi factori determinanţi

The paper analyses the savings developments in Romania during transition in comparison with the other CEE countries, starting from the definition of savings from the national accounts. Moreover, saving analysis is performed by institutional sectors, especially for population and nonfinancial companies sectors. Also, the paper assesses the impact of savings on the financial balance sheets of population and companies. Using panel data covering 60 countries for 1980-2009 period, the paper is estimating some quantitative models for saving and its fundamentals. The models which are based on GMM methodology are used afterwards to assess the long term outlook of savings for Romania as well for other countries

The Balassa-Samuelson effect in Romania - The role of regulated prices

Due to the Balassa-Samuelson effect, the candidate countries to the European Monetary Union face a possible conflict between the effects of tradable productivity increase on inflation and on the appreciation of the real exchange rate on one hand, and the Maastricht criteria regarding inflation and exchange rate stability on the other hand. A restrictive monetary policy could succeed in reaching inflation criteria, but only with the cost of slowing down real convergence. This paper deals with the Balassa-Samuelson effect in Romania. The main conclusion of the paper is that in the period 1998-2006 the average annual rate of inflation generated by the Balassa-Samuelson effect in Romania was on average 0.6% in the case of the classical model. Due to the existence of government-regulated prices (mostly non-tradable goods) accounting for as much as 21% of the CPI basket in Romania - the price of non-tradables has increased by less than in the case those prices were market prices. If we include these regulated prices in non-tradable, which is named by us extended model, the impact of Balassa-Samuelson on inflation could have been on average 2.46%. Therefore, the Balassa-Samuelson effect is expected to result into higher inflation with future price liberalization for non-tradables.Balassa-Samuelson effect Convergence Relative prices Regulated prices Productivity differential