nep-neu New Economics Papers
on Neuroeconomics
Issue of 2007‒03‒10
two papers chosen by
Daniela Raeva
Saint' Anna School of Advanced Studies

  1. A neural network architecture for data editing in the Bank of Italy’s business surveys By Claudia Biancotti; Leandro D'Aurizio; Raffaele Tartaglia-Polcini
  2. Mirror Neurons, Theory of Mind and Corruption By Eduardo Salcedo-Albarán; María-Margarita Zuleta; Isaac de León-Beltrán; Mauricio Rubio

  1. By: Claudia Biancotti (Bank of Italy); Leandro D'Aurizio (Bank of Italy); Raffaele Tartaglia-Polcini (Bank of Italy)
    Abstract: This paper presents an application of neural network models to predictive classification for data quality control. Our aim is to identify data affected by measurement error in the Bank of Italy’s business surveys. We build an architecture consisting of three feed-forward networks for variables related to employment, sales and investment respectively: the networks are trained on input matrices extracted from the error-free final survey database for the 2003 wave, and subjected to stochastic transformations reproducing known error patterns. A binary indicator of unit perturbation is used as the output variable. The networks are trained with the Resilient Propagation learning algorithm. On the training and validation sets, correct predictions occur in about 90 per cent of the records for employment, 94 per cent for sales, and 75 per cent for investment. On independent test sets, the respective quotas average 92, 80 and 70 per cent. On our data, neural networks perform much better as classifiers than logistic regression, one of the most popular competing methods, on our data. They appear to provide a valid means of improving the efficiency of the quality control process and, ultimately, the reliability of survey data.
    Keywords: data quality, data editing, binary classification, neural networks, measurement error
    JEL: C42 C45
    URL: http://d.repec.org/n?u=RePEc:bdi:wptemi:td_612_07&r=neu
  2. By: Eduardo Salcedo-Albarán; María-Margarita Zuleta; Isaac de León-Beltrán; Mauricio Rubio
    Abstract: In this paper we propose an answer for the question: why, sometimes, people don’t perceive corruption as a crime? To answer this question we use a neurological and a psychological concept: Mirror Neurons and Theory of other Minds.
    Date: 2007–01–15
    URL: http://d.repec.org/n?u=RePEc:col:001071:002847&r=neu

This nep-neu issue is ©2007 by Daniela Raeva. It is provided as is without any express or implied warranty. It may be freely redistributed in whole or in part for any purpose. If distributed in part, please include this notice.
General information on the NEP project can be found at http://nep.repec.org. For comments please write to the director of NEP, Marco Novarese at <director@nep.repec.org>. Put “NEP” in the subject, otherwise your mail may be rejected.
NEP’s infrastructure is sponsored by the School of Economics and Finance of Massey University in New Zealand.