Question Two $(2)$

a$.$ Ruth is interested in evaluating the effect of the introduction of free senior high school education in Ghana on unemployment. However, the free senior high school intervention design to cover the entire country.

i$.$ How best can Ruth evaluate the impact of the intervention?

ii$.$ Write down a regression model for this impact evaluation.

iii. Which coefficient represents the impact estimate?

$\backslash \%$s: $(5$ marks$)$

b$.$ Assuming free senior high school education was randomly assigned across districts,

i$.$ Write down an appropriate regression model for evaluating the policy.

ii$.$ Which coefficient represents the impact estimate?

$(3$marks$)$

c$.$ Explain the concept of confounding factors "selection on observable assumptions" indicating the key identifying assumption.

$(4$ marks$)$

d$.$ Under what condition is a regression discontinuity design $($RDD$)$ appropriate for evaluating an intervention?