2017
DOI: 10.2139/ssrn.3058579
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A Theory of Experimenters

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Cited by 4 publications
(3 citation statements)
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“…a block-randomized design and stratify on (i) geographic location, (ii) treatment status in the previous property tax campaign, and (iii) past experience of the city chief with tax collection. 42 To avoid chance imbalances, we followed Banerjee et al (2017) and ran the full randomization 100 times, selecting the run with minimum t -statistics from a series of balance checks on eight variables. 43…”
Section: B Randomizationmentioning
confidence: 99%
“…a block-randomized design and stratify on (i) geographic location, (ii) treatment status in the previous property tax campaign, and (iii) past experience of the city chief with tax collection. 42 To avoid chance imbalances, we followed Banerjee et al (2017) and ran the full randomization 100 times, selecting the run with minimum t -statistics from a series of balance checks on eight variables. 43…”
Section: B Randomizationmentioning
confidence: 99%
“…By implication, to justify a strong preference for an RCT one needs to attach some intrinsic value to randomization as an end in itself, and be willing to forgo accuracy in getting closer to the true mean impact. Advocates have sometimes fallen back on such methodological preferences, independently of precision in estimating impact; for example, Banerjee et al (2018) show that an RCT can still dominate as long as one puts a high enough weight on the welfare of those who prefer RCTs.…”
Section: Densitymentioning
confidence: 99%
“…By implication, to justify a strong preference for an RCT one needs to attach some intrinsic value to randomization as an end in itself, and be willing to forgo accuracy in getting closer to the true mean impact. Advocates have sometimes fallen back on such methodological preferences, independently of precision in estimating impact; for example, Banerjee et al (2017b) show that an RCT can still dominate as long as one puts a high enough weight on the welfare of those who prefer RCTs.…”
Section: Foundations Of Impact Evaluationmentioning
confidence: 99%