Beyond baseline and follow-up: The case for more T in experiments
Abstract
The vast majority of randomized experiments in economics rely on a single baseline and single follow-up survey. While such a design is suitable for study of highly autocorrelated and relatively precisely measured outcomes in the health and education domains, it is unlikely to be optimal for measuring noisy and relatively less autocorrelated outcomes such as business profits, and household incomes and expenditures. Taking multiple measurements of...
Paper Details
Title
Beyond baseline and follow-up: The case for more T in experiments
Published Date
Nov 1, 2012
Volume
99
Issue
2
Pages
210 - 221
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