742 research outputs found
A reformpedagĂłgiai irányzatok iskolaĂ©pĂtĂ©si törekvĂ©sei
Dolgozatomban az iskolaĂ©pĂĽletek elhelyezĂ©sĂ©t Ă©s környezetĂ©t, Ă©pĂtĂ©szeti megoldásainak változásait, az iskolaĂ©pĂĽletek, valamint az iskola berendezĂ©se, továbbá az ott használatos eszközök törtĂ©neti fejlĹ‘dĂ©sĂ©t igyekszem nyomon követni az egyes reformpedagĂłgiai irányzatok megjelenĂ©sĂ©nek kronologikus sorrendjĂ©ben.Ennek aktualitását az utĂłbbi idĹ‘szak reformpedagĂłgia iránti felfokozott Ă©rdeklĹ‘dĂ©se indokolja
Korszerű iskolaĂ©pĂtĂ©si törekvĂ©sek Magyarországon. Egy 1965–1970 között lezajlott iskolaĂ©pĂtĂ©si kutatás aktualitása
A hatvanas Ă©vek második felĂ©ben lefolytatott elsĹ‘ – Ă©s máig egyetlen – hazai komplex iskolaĂ©pĂtĂ©si kutatás összefoglalĂł megállapĂtásai Ă©s állásfoglalásai nem találkoztak az oktatáspolitika akkori irányĂtĂłinak egyetĂ©rtĂ©sĂ©vel. A kutatás Ă©pĂtĂ©szeti Ă©s pedagĂłgiai munkarĂ©szeinek összefoglalĂłját áttekintve azt kell megállapĂtanunk, hogy jĂłllehet a kutatĂłcsoport ajánlásainak nagy rĂ©sze ma is aktuális, számos javaslatuk máig sem valĂłsult meg
Measuring the dimension of partially embedded networks
Scaling phenomena have been intensively studied during the past decade in the
context of complex networks. As part of these works, recently novel methods
have appeared to measure the dimension of abstract and spatially embedded
networks. In this paper we propose a new dimension measurement method for
networks, which does not require global knowledge on the embedding of the
nodes, instead it exploits link-wise information (link lengths, link delays or
other physical quantities). Our method can be regarded as a generalization of
the spectral dimension, that grasps the network's large-scale structure through
local observations made by a random walker while traversing the links. We apply
the presented method to synthetic and real-world networks, including road maps,
the Internet infrastructure and the Gowalla geosocial network. We analyze the
theoretically and empirically designated case when the length distribution of
the links has the form P(r) ~ 1/r. We show that while previous dimension
concepts are not applicable in this case, the new dimension measure still
exhibits scaling with two distinct scaling regimes. Our observations suggest
that the link length distribution is not sufficient in itself to entirely
control the dimensionality of complex networks, and we show that the proposed
measure provides information that complements other known measures
Do the rich get richer? An empirical analysis of the BitCoin transaction network
The possibility to analyze everyday monetary transactions is limited by the
scarcity of available data, as this kind of information is usually considered
highly sensitive. Present econophysics models are usually employed on presumed
random networks of interacting agents, and only macroscopic properties (e.g.
the resulting wealth distribution) are compared to real-world data. In this
paper, we analyze BitCoin, which is a novel digital currency system, where the
complete list of transactions is publicly available. Using this dataset, we
reconstruct the network of transactions, and extract the time and amount of
each payment. We analyze the structure of the transaction network by measuring
network characteristics over time, such as the degree distribution, degree
correlations and clustering. We find that linear preferential attachment drives
the growth of the network. We also study the dynamics taking place on the
transaction network, i.e. the flow of money. We measure temporal patterns and
the wealth accumulation. Investigating the microscopic statistics of money
movement, we find that sublinear preferential attachment governs the evolution
of the wealth distribution. We report a scaling relation between the degree and
wealth associated to individual nodes.Comment: Project website: http://www.vo.elte.hu/bitcoin/; updated after
publicatio
Interest premium and economic growth: the case of CEE
Abstract This paper views the growth and convergence process of the four Visegrad economies - the Czech Republic, Hungary, Poland and Slovakia - through the lens of the open economy, stochastic neoclassical growth model. We use a unified framework to understand both the long-run convergence path and fluctuations around it. Our empirical exercise highlights both the role of initial conditions such as indebtedness and capital intensity, and random shocks in the growth process. In particular, we explore the importance of the external interest rate premium, and its role in driving investment and the trade balance
Növekedés és pénzügyi környezet
A tanulmányban a magyar gazdaság 1995–2015 közötti növekedĂ©si pályájának kĂĽlsĹ‘ meghatározĂłit vizsgáljuk. FĹ‘ kĂ©rdĂ©sĂĽnk az, hogy mely sokkok magyarázzák elsĹ‘sorban a GDP Ă©s fĹ‘ összetevĹ‘inek volatilitását a vizsgált idĹ‘szakban. Az elemzĂ©shez a neoklasszikus növekedĂ©si modell sztochasztikus változatát használjuk, amelyben elsĹ‘sorban a technolĂłgiai, növekedĂ©si, illetve a kamatÂprĂ©ÂmiumÂsokkok hozzájárulását elemezzĂĽk. Az empirikus sokkok dekomÂpoÂzĂÂciĂłjáÂhoz bayesi becslĂ©st vĂ©gzĂĽnk, magyar növekedĂ©si idĹ‘sorokat használva. EredmĂ©nyeink azt mutatják, hogy a magyar GDP-növekedĂ©s változásait elsĹ‘sorban perzisztens technolĂłgiai sokkok magyarázták, mĂg a növekedĂ©s összetĂ©telĂ©ben a kĂĽlsĹ‘ kamatÂprĂ©miumÂsokkok is jelentĹ‘s szerepet játszottak.
Journal of Economic Literature (JEL) kĂłd: E13, O11, O41, O4
Interest premium and economic growth = Kamatprémium és gazdasági növekedés: Kelet-Közép-Európa esete
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