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Tesi etd-11232020-101351


Tipo di tesi
Tesi di laurea magistrale
Autore
MAURIZIO, MARIA CRISTINA
URN
etd-11232020-101351
Titolo
Policy evaluation of income support schemes
Dipartimento
ECONOMIA E MANAGEMENT
Corso di studi
ECONOMICS
Relatori
relatore Prof. Corsini, Lorenzo
Parole chiave
  • assistance
  • benefits
  • instrumental variable
  • propensity score
  • unemployment
Data inizio appello
09/12/2020
Consultabilità
Completa
Riassunto
The assessment of the causal effect is not a straightforward task. It needs a specific framework to model what is to be considered as a causal effect in the most clear and unambiguous way. This evaluation is even more complicated when considering socio-economic policy. This happens because very often people can select themselves into treatment and this generate the so-called selection bias which makes impossible to compute the true effect without taking particular adjustments. In particular, I considered both unemployment insurance and assistance schemes in Spain in 2017 and, after having discussed the differences among them, I applied propensity score matching for the first and instrumental variable for the second, as an exercise to see how one could behave in order to try to reduce the selection bias.
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