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http://hdl.handle.net/10174/10302
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Title: | How to Classify a Government: Can a perceptron do it? |
Authors: | Caleiro, António |
Keywords: | Classification Elections Government Classification, ElectionOutput Persistence Perceptrons. |
Issue Date: | Sep-2013 |
Citation: | Caleiro, António (2013), ``How to Classify a Government: Can a perceptron do it?'', International Journal of Latest Trends in Finance and Economic Sciences, 3: 3, September, 523-529. |
Abstract: | The electoral cycle literature has developed
in two clearly distinct phases. The first one considered the existence of non-rational (naive) voters whereas
the second one considered fully rational voters. It is our view that an intermediate approach is more
appropriate, i.e. one that considers learning voters, which are boundedly rational. In this sense, one may
consider perceptrons as learning mechanisms used by voters to perform a classification of the incumbent in order to distinguish opportunistic (electorally motivated) from benevolent (non-electorally
motivated) behaviour of the government. The paper explores precisely the problem of how to classify a
government showing in which, if so, circumstances a perceptron can resolve that problem. This is done by considering a model recently considered in the
literature, i.e. one allowing for output persistence, which is a feature of aggregate supply that, indeed,
may turn impossible to correctly classify the government. |
URI: | http://hdl.handle.net/10174/10302 |
Type: | article |
Appears in Collections: | CEFAGE - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica ECN - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
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