(a) “For modeling purposes specific distribution assumptions are indispensable if we need precise and sharp results. Results based on bounded moment conditions are invariably imprecise and blunt.” Discuss.

(b) “For a large enough sample size n, one does not need to worry about distributional assumptions, because one can use the bounds offered by limit theorems to

‘calibrate’ the reliability of any inference.” Discuss.