1,721,135 research outputs found
Exchange rate speculation and heterogeneous expectations in a small open economy
No full textWe consider a standard macroeconomic model of a small open economy in which the flow of capital on the international foreign exchange market crucially depends on the expected exchange rate. These expectations about the exchange rate are modelled to be either homogeneous or heterogeneous, i.e., all agents may form naïve expectations, or they may switch between different simple linear extrapolative or regressive predictors with respect to changing market circumstances. Using a mixture of analytical and numerical tools, we attempt to describe the characteristics of our model’s dynamical systems we obtain with these different assumptions and analyse the impact of exchange rate expectations on short-term business cycle fluctuations. Our results suggest that fluctuations in both national income and the exchange rate are crucially driven by speculators’ expectations. With respect to these expectations, our numerical results additionally show an ambiguous effect of extrapolative expectations on stability. Due to coexisting attractors, an increase in the strength of extrapolative expectations may have both a destabilising and a stabilising impact on dynamics. In contrast, regressive expectations have a stabilising effect on the business cycle.No sponso
A Two-Stage Research Performance Assessment of Turkish Higher Education Institutions Using Data Envelopment Analysis and Beta Regression
No full textRaw data used in the first and second stage of our analysis
Two-stage research performance assessment of Turkish HEI using DEA and beta regression
No full textIn this paper, we study the research efficiency of the Turkish higher education sector in a two-stage DEA model with variable returns to
scale. The aim of this paper is to benchmark or rank universities according to their research performance and to identify exogenous factors
that may affect an institution’s efficiency score. DEA scores are a prime example of fractional data - a fact that has been disregarded by
many previous DEA models which used popular Tobit regression for censored data in the second stage. Using a sample of 50 private and
public universities, the first stage of our model calculates the efficiency scores and determines the efficient reference set for inefficient
universities. In the second stage, we use beta regression and bootstrapped hypothesis testing to estimate the effects that external factors (age,
size and ownership status) have on efficiency scores. We find that 27 universities in our sample are research efficient. Beta regression
summary statistics suggest that extra-large universities tend to be less research efficient than large universities (p=0.1), while both age and
ownership status of the university do not have a statistically significant impact on an institution’s efficiency score.No sponso
The good, the bad, the well-connected
No full textIn this paper, we analyse a variation of truel competitions in which each prospective player is represented by a node in a scale-free network. Without including any particular spatial arrangement of players, traditional game theory suggests that in many truel settings the strongest player often has the lowest probability of survival, a paradox that has been popularised by the term survival of the unfittest. However, both our single-run and the Monte-Carlo simulations suggest that this particular notion does not hold in scale-free networks. The spatial structure and arrangement of players are crucial for the outcome of truels, as in scale-free networks the number of players surviving the competition positively depends on their marksmanship (i.e., the strongest players indeed have the highest probability of survival).No sponso
The good, the bad, the well-connected
Full text linkIn this paper, we analyse a variation of truel competitions in which each prospective player is represented by a node in a scale-free network. Without the inclusion of any particular spatial arrangement of players, traditional game theory suggests that in many truel settings the strongest player often has the lowest probability of survival, a result which has been popularised by the term survival of the unfittest. However, both our single run and the Monte-Carlo simulations suggest that this particular notion does not hold in scale-free networks. The spatial structure and arrangement of players are crucial for the outcome of truels, as in scale-free networks the number of players surviving the competition positively depends on their marksmanship (i.e. the strongest players indeed have the highest probability of survival).No sponso
European Science Foundation's Network on Transport, Communications and Mobility. A five year activity programme. A Phase 2 Proposal
No full textMasser Ian, Nijkamp Peter, Reichman Shalom, Wandel Sten, Wegener Michael. European Science Foundation's Network on Transport, Communications and Mobility. A five year activity programme. A Phase 2 Proposal . In: NETCOM : Réseaux, communication et territoires / Networks and Communication Studies, vol. 2 n°2, décembre 1988. Le colloque international « Communications et territoires », Issy-les-Moulineaux / Paris-Sorbonne, 21-23 janvier 1988. pp. 274-318
Möglichkeiten und Grenzen des Einsatzes von Netzcomputern
No full textNetz-Computer (NCs) werden wegen ihrer vereinfachten Wartung von ihren Herstellern als Business-PCs der Zukunft angepriesen. Für Kritiker handelt es sich dabei lediglich um eine Weiterentwicklung der Host Terminals. Der Arbeitsbericht zeigt die Funktionsweise eines NCs und begutachtet die jetzigen und zukünftigen Einsatzmöglichkeiten
Möglichkeiten und Grenzen des Einsatzes von Netzcomputern
No full textNetz-Computer (NCs) werden wegen ihrer vereinfachten Wartung von ihren Herstellern als Business-PCs der Zukunft angepriesen. Für Kritiker handelt es sich dabei lediglich um eine Weiterentwicklung der Host Terminals. Der Arbeitsbericht zeigt die Funktionsweise eines NCs und begutachtet die jetzigen und zukünftigen Einsatzmöglichkeiten
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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