Alessio Moneta is an assistant professor of economics at the Scuola Superiore Sant’Anna (Pisa, Italy), where he holds a tenured position in the Institute of Economics. He received a bachelor’s degree in philosophy from the University of Pisa (1998) and a Ph.D. in economics from the Scuola Superiore Sant’Anna (2004). Moneta has spent periods of research at the Carnegie Mellon University in Pittsburgh (USA), Carlos III University of Madrid, and the Erasmus University of Rotterdam. He has also worked for several years at the Max Planck Institute of Economics in Jena (Germany). His main areas of scientific interest include macro-econometrics, empirical demand analysis, methodology of empirical economics, with particular emphasis on the problem of causal inference and identification of structural time series models. His papers were published, among others, in the Cambridge Journal of Economics, Empirical Economics, Journal of Applied Econometrics, Journal of Bioeconomics, Journal of Economic Perspectives, Journal of Economic Methodology, Journal of Economics and Statistics, Journal of Evolutionary Economics, and Oxford Bulletin of Economics and Statistics, as well as in several peer-reviewed book chapters.
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This paper proposes a new method to empirically validate simulation models that generate artificial time series data comparable with real-world data.