Why did the Austro-Hungarian Empire collapse? A public choice perspective

In this paper, we seek to identify causes of the disintegration of the Austro-Hungarian Empire. We note that great salience was attached to issues of self-governance and autonomy of the numerous ethnic groups living within the Empire. From a public choice perspective, the Empire was an over-centralised state and there were clear gains from federalising it. However, such federalisation was not feasible because of the collective action problem arising in bargaining with the central government. Furthermore, the move towards the war economy and the empowerment of the executive state provided the last drop leading to the exit of ethnic minorities from the monarchy and to the ultimate demise of the Empire.

Banking in Croatia; Macroeconomic Conditions and the Banking Reform in Croatia

MOCT-MOST: Economic Policy in Transitional Economies -     

Returns of Education in the Czech Republic

Prepared for presentation at the Congress of the International Institute of Public Finance (IIPF) in Seville, Spain, 28–31 August 2000, for the session on the opportunity-equalising effects of fiscal systems.University education is nowadays provided as public goods in the Czech Republic. Due to economic pressure on public finance the trend of the 90s became the internalisation of costs associated with university education.The generally accepted hypothesis is that nowadays the returns from the costs of university education are achieved in a shorter time than before economic transition. Additionally, it is thought that the return on university education is differentiated by professions. We aim to test these hypotheses. That is why the cornerstone of our study is the deeper analysis of the differentiation of selected professions in the current state in comparison to the period before transition.After 1989, due to the economic transition and development of the market economy, wage differentiation accelerated in the Czech Republic. An important factor in differentiation seems to be the level of human capital, represented above all by university education. Education significantly increased the chance of finding a job, as another analysis has proven. However, these positive effects of education have been paid for by considerable monetary and non-monetary costs.The paper provides an economic analysis at the level of an individual and his point of return between costs and revenues from university education. To achieve an exact but still simple analysis we take into account only quantifiable monetary costs and revenues. The calculation of the point of return is done with the use of the construction of a cumulated whole-life income and its interpolation. The analysis uses data for the Czech Republic in 1988 and 1997.     

How High is the Private Gain from Wage Indexation?

The effects of firm‐specific shocks on the gain from writing state‐contingent wage contracts are examine in an extension of the model in Gottfries (1992) . It is shown that the introduction of firm‐specific uncertainty increases the gain from indexation to prices only moderately. Moreover, nominal wage contracts should be more prevalent when unemployment benefits are high or unemployment spells are short.     

Trading volume,return variability and short-term momentum

We propose short-term averages of daily stock-level trading volume and return variability as proxies for latent corporate news flow. Conditioning momentum strategies on these two proxies give a significant boost to winner-minus-loser alphas. Regardless of the portfolio formation and holding periods, price drift is larger after elevated levels of volume and variability, supporting the view that prices underreact to news. This pattern is not driven by micro-cap stocks and it is robust to corrections for systematic risk factors and stock characteristics such as liquidity and credit quality.     

Determination of the most influential factors for number of patents prediction by adaptive neuro-fuzzy technique

Number of patents may be developed on the basis on different natural and science and technological factors. Number of patents prediction based on the different factors in many countries is analyzed in this investigation. These factors represent natural and science resources. The method of ANFIS (adaptive neuro fuzzy inference system) was applied to the data in order to select the most influential factors for the number of patents prediction. Five inputs are considered: research and development (R&D) resources, natural resources, quality of academic institutions, quality of collaboration with the private sector and quality of education. As the ANFIS output, number of patents is considered. The ANFIS process for variable selection is also implemented in order to detect the predominant factors affecting the prediction of number of patents. Results show that the R&D is the most influential factor for the number of patents prediction.     

Multi-directional program efficiency: the case of Lithuanian family farms

The present paper analyses both managerial and program efficiencies of Lithuanian family farms, in the tradition of Charnes et al. (Manag Sci 27(6):668–697, 1981) but with the important difference that multi-directional efficiency analysis rather than the traditional data envelopment analysis approach is used to estimate efficiency. This enables a consideration of input-specific efficiencies. The study shows clear differences between the efficiency scores on the different inputs as well as between the farm types of crop, livestock and mixed farms respectively. We furthermore find that crop farms have the highest program efficiency, but the lowest managerial efficiency and that the mixed farms have the lowest program efficiency (yet not the highest managerial efficiency).     

A study on the competitive strategy of the universal postal service provider

We analysed how the universal postal service providers could employ their specificities to achieve an advantage over the growing competition. The basic input for the model is expert opinions. We interviewed 18 experts in five stages. As a multiple criteria decision support method, we used an analytic hierarchy process. Further, we proposed a geometric method for determining the business area where a company should focus its biggest attention to achieve the best result. By implementing the proposed model, a company should obtain two types of business directions, the first related to the proposed activities and the second to the business areas. To demonstrate the applicability of the proposed methodology, we tested and verified it in the case of the Serbian universal postal service provider which is a state-owned company called the Post of Serbia.     

Do relative leverage and relative distress really explain size and book-to-market anomalies?

In a capital asset pricing model (CAPM) framework, Ferguson and Shockley [2003. Equilibrium “anomalies”. Journal of Finance 58, 2549–2580] propose two factors constructed on relative leverage and relative distress, and show that the two factors subsume Fama and French's [1993. Common risk factors in the returns on stocks and bonds. Journal of Financial Economics 33, 3–56] factors constructed on size and book-to-market (BM) in explaining the cross-sectional average returns of the 25 size-BM portfolios. Based on tests on individual securities, we find that all factors fail to fully explain the common asset-pricing anomalies. In the spirit of Merton's [1973. An intertemporal capital asset pricing model. Econometrica 41, 867–887] intertemporal CAPM, we propose an augmented five-factor model, which incorporates Ferguson and Shockley's [2003. Equilibrium “anomalies”. Journal of Finance 58, 2549–2580] factors into the Fama–French three-factor model. The empirical results show that a simple conditional version of the augmented model is able to explain most well-known asset-pricing anomalies.     

Modelling perceived quality,visitor satisfaction and behavioural intentions at the destination level

Visitor perceptions of the quality of a tourist destination, satisfaction with their experience and the resulting behavioural intentions are vital for successful destination management and marketing. The purpose of our research is to explore the complex relationships between these constructs using structural equation modelling, whereby both formative and reflective constructs are included. The structural model was tested on a sample of 1056 visitors at four tourist destinations in Slovenia. The empirical validation of the conceptual model supports the research hypotheses. Destination attributes affect the perceived quality of tourist offerings, which positively relates to satisfaction as well as visitors' behavioural intentions. The link between satisfaction and behavioural intentions was also confirmed. These research findings contribute to a better understanding of which behavioural mechanisms and factors represent a viable basis for increasing customer retention at the level of individual providers as well as a destination as a whole.