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¿Son más corruptos los países menos abiertos a los mercados internacionales? Aplicación de un modelo predictivo de clasificación basado en Redes Neuro
Picón, Cristian - In: REVISTA DE ECONOMÍA DEL CARIBE (2012)
Los planteamientos más comunes a favor de la liberalización del comercio y las finanzas internacionales afirman que políticas aperturistas tendrán un impacto positivo en la reducción de la corrupción. No obstante la complejidad del estudio de estas relaciones, la mayoría de...
Persistent link: https://www.econbiz.de/10010763728
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Shadow economy, corruption and public debt in Spain
González-Fernández, Marcos; González-Velasco, Carmen - In: Journal of Policy Modeling 36 (2014) 6, pp. 1101-1117
The aim of this paper is to study the relationship between the shadow economy and corruption as determinants of public … debt in the Spanish Autonomous Communities. In addition, we construct a Corruption Perception Index for those regions. Our … significant and positive impact on regional public debt. Corruption also shows a direct and significant relationship with public …
Persistent link: https://www.econbiz.de/10011117258
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Modellierung von Preiserwartungen durch neuronale Netze
Heinemann, Maik; Lange, Carsten - Wirtschaftswissenschaftliche Fakultät, Leibniz … - 1997
Das Papier untersucht, wie Erwartungsbildung mit Hilfe neuronaler Netze modelliert werden kann. Die Grundlage bildet ein Cobweb-Modell, in dem Firmen Preiserwartungen auf Basis eines Feedforward-Netzes bilden.Zunächst wird anhand von Simulationen gezeigt, daß Firmen durch neuronale...
Persistent link: https://www.econbiz.de/10005243354
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Behaviour of Humans and Behaviour of Models in Dynamic Space
Nijkamp, Peter - Tinbergen Instituut - 2011
This paper addresses new trends in quantitative geography research. Modern social science research - including economic and social geography - has in the past decades shown an increasing interest in micro-oriented behaviour of actors. This is inter alia clearly reflected in spatial interaction...
Persistent link: https://www.econbiz.de/10011255590
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Financial vs human resources in the Greek-Turkish arms race 10 years on
Andreou, Andreas S.; Zombanakis, George A. - Volkswirtschaftliche Fakultät, … - 2010
This paper looks into the Greek – Turkish arms race a decade after an earlier contribution on the issue that relied heavily on Artificial Neural Networks. The time period between the two papers contributes to the reliability of the results derived, not just by increasing the number of...
Persistent link: https://www.econbiz.de/10011260738
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APPROXIMATING INNOVATION POTENTIAL WITH NEUROFUZZY ROBUST MODEL / APROXIMACIÓN AL POTENCIAL INNOVADOR CON UN MODELO ROBUSTO DE NEURO-FUZZY
Kasa, Richard - In: Investigaciones Europeas de Dirección y Economía de … 21 (2015) 1, pp. 35-46
In a remarkably short time, economic globalisation has changed the world’s economic order, bringing new challenges and opportunities to SMEs. These processes pushed the need to measure innovation capability, which has become a crucial issue for today’s economic and political decision makers....
Persistent link: https://www.econbiz.de/10011262774
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OUT-OF-SAMPLE FORECASTING PERFORMANCE OF A ROBUST NEURAL EXCHANGE RATE MODEL OF RON/USD
SAMAN, Corina - In: Journal for Economic Forecasting (2015) 1, pp. 93-106
This paper aims to explore the forecasting accuracy of RON/USD exchange rate structural models with monetary fundamentals. I used robust regression approach for constructing robust neural models less sensitive to contamination with outliers and I studied its predictability on 1 to 6-month...
Persistent link: https://www.econbiz.de/10011265554
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Nonlinear Correlograms and Partial Autocorrelograms
Anderson, Heather M.; Vahid, Farshid - Department of Econometrics and Business Statistics, … - 2003
This paper proposes neural network based measures of predictability in conditional mean, and then uses them to construct nonlinear analogues to autocorrelograms and partial autocorrelograms. In contrast to other measures of nonlinear dependence that rely on nonparametric estimation of densities...
Persistent link: https://www.econbiz.de/10005087615
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Functional Approximations to Likelihoods/Posterior Densities: A Neural Network Approach to Efficient Sampling
Hoogerheide, Lennart F.; Kaashoek, Johan F. - Society for Computational Economics - SCE - 2004
The performance of Monte Carlo integration methods like importance-sampling or Markov-Chain Monte-Carlo procedures depends greatly on the choice of the importance- or candidate-density. Such a density must typically be "close" to the target density to yield numerically accurate results with...
Persistent link: https://www.econbiz.de/10005345300
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Choosing Lag Lengths in Nonlinear Dynamic Models
Anderson, Heather M. - Department of Econometrics and Business Statistics, … - 2002
Given that it is quite impractical to use standard model selection criteria in a nonlinear modeling context, the builders of nonlinear models often choose lag length by setting it equal to the lag length chosen for a linear autoregression of the data. This paper studies the performance of this...
Persistent link: https://www.econbiz.de/10005149065