7 papers
When is statistical evidence strong enough? Using hypothesis tests to value data collection
Aristotelis Epanomeritakis, Davide Viviano
We recast statistical significance as a choice between making an immediate policy recommendation and deferring it until further evidence is collected. We show that the welfare-opti…
Estimating Social Norm Complementarities
Eliana La Ferrara, Cheaheon Lim, Davide Viviano
We develop a model of choice over social norms that allows for complementarities along two dimensions: \textit{technological}, analogous to complementarities between consumption go…
Learning What to Learn: Experimental Design when Combining Experimental with Observational Evidence
Aristotelis Epanomeritakis, Davide Viviano
Experiments deliver credible treatment-effect estimates but, because they are costly, are often restricted to specific sites, small populations, or particular mechanisms. A common…
Triply Robust Panel Estimators
Susan Athey, Guido Imbens, Zhaonan Qu +1
This paper studies estimation of causal effects in a panel data setting. We introduce a new estimator, the Triply RObust Panel (TROP) estimator, that combines (i) a flexible model…
Publication Design with Incentives in Mind
Ravi Jagadeesan, Davide Viviano
The publication process both determines which research receives the most attention, and influences the supply of research through its impact on researchers' private incentives. We…
Evidence aggregation with ignorance in mind: learning what we do (not) know for archetypes discovery
Emily Breza, Arun G. Chandrasekhar, Davide Viviano
When evaluating policy interventions, researchers often pursue two related goals: identifying which individuals or contexts benefit most, and determining whether patterns of treatm…