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Esempi di domanda della prova d'esame
Di seguito sono riportati alcuni esempi delle diverse tipologie di domanda che compongono la prova scritta del corso:
ESEMPIO 1 - domanda a risposta multipla chiusa
Quali affermazioni riguardanti l’errore da dinamica spontanea sono vere?
A. Si commette stimando l’impatto come differenza tra le medie dell’outcome per i trattati e i non trattati
B. Si commette assumendo che in assenza di intervento il fenomeno non sarebbe cambiato
C. Si commette stimando l’impatto come differenza pre-post intervento tra le medie della variabile outcome
a) A
b) C
c) B e C
ESEMPIO 2 - Domanda a risposta aperta:
Descrivi il metodo del Propensity Score Matching utilizzando l’algoritmo del Nearest-Neighbour e scrivi l’espressione dello stimatore dell’impatto in questo caso.
ESEMPIO 3 - Domanda che prevede un semplice calcolo:
La seguente tabella riporta il reddito medio nel periodo pre e post-intervento per un programma contro la povertà:
![](data:image/png;base64,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)
i) Scrivi la definizione dello stimatore DID
ii) Calcola la stima dell’impatto del programma sul reddito
iii) Spiega l’ipotesi di parallelismo su cui si basa la stima.