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Tesi etd-11112016-171653


Thesis type
Tesi di laurea magistrale
Author
CATTARUZZO, SEBASTIANO
URN
etd-11112016-171653
Title
Novel Tools for Causal Inference: A critical application to Spain innovation studies
Struttura
ECONOMIA E MANAGEMENT
Corso di studi
ECONOMICS
Commissione
relatore Prof. Moneta, Alessio
Parole chiave
  • causal
  • inference
  • spain
  • pitec
  • graphic
  • dag
  • algorithm
  • additive
  • noise
  • var
  • model
Data inizio appello
01/12/2016;
Consultabilità
completa
Riassunto analitico
The first part of the dissertation will contain an introduction that summarizes the relevance of the chosen topic in economic research, and that contextualizes the problem of causal inference in complex systems. Following the introduction, a comprehensive chapter that builds the framework for causal inference, in the literature, and in our specific case. Another chapter will comprise the critical review of the above. Finally, depending on the time available and on the needed to implement it, it would be interesting to include some applications to the PITEC panel dataset, which contains 120'000 observations relative to Spain from 2003 to 2012.
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