Quasi-isotonic regression and stochastic approximation

Summary Mukerjee’s stochastic approximation procedure on a lattice is modified: at each stage of the procedure, a sample quasi-isotonic regression is calculated instead of the isotonic one, the former being defined as the least-squares fit of observations within the class of functions that are nonpositive on the left and nonnegative on the right of some point. An effective algorithm is given and a convergence theorem proven. A multidimensional version of the procedure is proposed, the question of its convergence being left open. Research supported by the Deutsche Forschungsgemeinschaft, SFB 72.     

The preferences of tourists in their expectations of chateau gardens: a Central and Eastern European perspective

As most of the chateau gardens and parks in Central and Eastern Europe have been neglected or misused, there is a strong need for their transformation. This transformation has become even more important now due to the growing competition in the tourist destination market. The chateau gardens are at the crossroads of choosing the variant of their future development. Tourism of this kind is able to maintain its original features and it can also find new commercial uses. The aim of this paper is to identify the demand segments and to assess the relation of the visitors to the elements that form the character of a chateau park. We have succeeded in identifying three motivating factors for tourists in the making their choice. While some types of use are mutually complementary (knowledge and relaxation), other types are not used as much (amusement). The introduction of an entrance fee implies that there will be a change in the preference for those parks with the presence of peacocks and ducks, as well as the outdoor collections of plants including both French and English style gardens and they are equipped with detailed information board.     

Estimation of the most influential science and technology factors for economic growth forecasting by soft computing technique

Economic growth may be developed on the basis on combination of different factors. In this investigation was analyzed the economic growth forecasting based on the different factors. The main goal was to analyze the influence of science and technology factors on the economic growth. Gross domestic product (GDP) was used as economic growth indicator. The method of adaptive neuro fuzzy inference system (ANFIS) was applied to the data in order to select the most influential factors for the GDP growth rate forecasting. Ten inputs are considered: research and development (R&D) expenditure in GDP, scientific and technical journal articles, patent applications for nonresidents, patent applications for residents, trademark applications for nonresidents, trademark applications for residents, total trademark applications, researchers in R&D, technicians in R&D and high-technology exports. The ANFIS process for variable selection was also implemented in order to detect the predominant factors affecting the forecasting of GDP growth rate.     

Technology,employment and the business cycle in post-transition countries of the EU

This article analyses the importance of technology and non-technology shocks in the business cycles of European Union post-transition countries. Different assumptions of New Keynesian and Real Business Cycle theory are tested. The results demonstrate that a non-technology shock is more important in explaining business cycles in post-transition countries, although a technology shock is not trivial. The technology shock cannot replicate basic business cycle facts observed in the data: it produces a low or negative correlation between employment and GDP, and a strong negative correlation between labour productivity and employment. Technology and non-technology GDP components are analysed in the transition and post-transition period. The results show a non-technology shock was the dominant source of business cycles both during and after the transition period.     

Geopolitics of Affect and Emotions in a Post-Conflict City

This paper aims to advance our knowledge of the relationships between emotions, affect, and geopolitics. For, among several criticisms of affect’s non-representational theories, is the claim that it has not been used to understand problems of real social and political importance. What is crucially lacking in this important body of work on the nexus between affect and politics is empirically grounded research that examines these processes, especially in situations of geopolitical instability and conflict. In this paper, I seek to address this gap by attending to the geopolitical role of feelings in the volatile political climate of a post-conflict city. Specifically, my work examines the emotional and affective landscapes of daily life in the city of Mostar in Bosnia and Herzegovina which, twenty years after the war officially ended, continues to experience divisions between its Croat/Catholic and Bosniak/Muslim populations.     

On the existence of an increasing symmetric equilibrium in (k + 1)-st price common value auctions

In a classical result, Milgrom (1981a) established that the Monotone Likelihood Ratio Property (MLRP) is a sufficient condition for the existence of an increasing symmetric equilibrium in (k + 1)-st price common value auctions. We show: (1) If MLRP is violated, then for any number of bidders and objects there exists a distribution of the common value such that no increasing symmetric equilibrium exists; (2) If MLRP is violated, then for any distribution of the common value there exist infinitely many pairs of the number of bidders and the number of objects such that an increasing symmetric equilibrium does not exist; (3) There are examples where an increasing symmetric equilibrium exists even when the signal distribution violates MLRP.     

Sensitivity Analysis of an Efficient DMU in DEA Model with Variable Returns to Scale (VRS)

In this paper we consider the Variable Returns to Scale (VRS) Data Envelopment Analysis (DEA) model. In a DEA model each Decision Making Unit (DMU) is classified either as efficient or inefficient. Changes in inputs or outputs of any DMU can alter its classification, i.e. an efficient DMU can become inefficient and vice versa. The goal of this paper is to assess changes in inputs and outputs of an extreme efficient DMU that will not alter its efficiency status, thus obtaining the region of efficiency for that DMU. Namely, a DMU will remain efficient if and only if after applying changes this DMU stays in that region. The representation of this region is done using an iterative procedure. In the first step an extended DEA model, whereby a DMU under evaluation is excluded from the reference set, is used. In the iterative part of the procedure, by using the obtained optimal simplex tableau we apply parametric programming, thus moving from one facet to the adjacent one. At the end of the procedure we obtain the complete region of efficiency for a DMU under consideration.     

An Investigation of the Relationship Between Destination Branding and Destination Competitiveness

Empirical research focusing on the relationship between destination branding and destination competitiveness has so far been lacking. Even though destination brand is partially incorporated into the two most prominent theoretical models of destination competitiveness, there is still a need for understanding the role that destination branding plays in achieving destination competitiveness. For this reason, this study proposes a theory-based research instrument that joins the branding process implementation index and competitiveness measured by customer satisfaction. The proposed instrument is tested in the context of Croatian coastal destinations. The results confirm that a well-implemented destination branding process increases destination competitiveness.