Site Selection Bias in Program Evaluation
By Hunt Allcott. 2015
421 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Ocean Engineering, Statistics and Probability
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Susan Athey
- M. D. Cattaneo
- Stefano DellaVigna
- Guido W. Imbens
- John A. List
- Robert Metcalfe
- Esther Duflo
- Gonzalo Vázquez-Baré
In Ocean Engineering
- K. Rosinger
- Cait Lamberton
- Kelli A. Bird
- Jeffrey T. Denning
- E. Linos
- Cristian Pop-Eleches
- Robert Metcalfe
- Joshua Goodman
In Statistics and Probability
- M. D. Cattaneo
- Guido W. Imbens
- Susan Athey
- R. Titiunik
- Gonzalo Vázquez-Baré
- Stefan Wager
- Alberto Abadie
- Max H. Farrell
Citations in the corpus
- The Econometrics of Randomized Experiments (2016, background): “Allcott (2015) assess the ability of similar unconfoundedness/selection-on-observable conditions to eliminate differences in treatment effects between 111 energy conservation programs.”
- The State of Applied Econometrics - Causality and Policy Evaluation (2016, neutral): “[2005], Imbens [2010], Allcott [2015]. They have also received some attention in the literature on structural modeling, where the experimental data are used to anchor aspects of the structural model, e.”
- Place-Based Policies, Creation, and Agglomeration Economies: Evidence from China’s Economic Zone Program (2019, background): “Yvct = λv + γ v · (Dct ×Dv) + σ ·Dct + λt + (Xv × λt) η + εvct, (3)”
- Field Experiments on Discrimination (2016, background): “External validity is far from guaranteed if there is sizable room for selection or self-selection of subjects into the experiment (Heckman, 1992; Allcott, 2015).”
- Interpreting Effect Sizes of Education Interventions (2020, background): “Students, teachers, schools, and districts are more likely to participate in a study when they think they will benefit, causing selection bias (Allcott, 2015).”
- Interpreting Regression Discontinuity Designs with Multiple Cutoffs (2016, background): “This means that the results from multi-site experiments may not allow researchers to extrapolate to the overall population, a concern that is not necessarily eliminated if the number of sites is large (Allcott, 2015).”
- Putting nudges in perspective (2017, background): “But, while such nudges are helpful, they are unlikely to make much of a dent in the problem of global warming (e.g. see Allcott, 2015).”
- Social Norms and Energy Conservation Beyond the US (2020, neutral): “On a more general note, our paper contributes to the emerging literature on the transferability of causal effects across settings (Allcott 2015, Deaton and Cartwright 2016, Gechter 2016, Hotz et al. 2005, Leviton 2017, Muller 2015, Peters et al. 2016, Pritchett et al. 2015, Vivalt 2015).”
- Behavioral Economics and Energy Conservation – A Systematic Review of Non-price Interventions and Their Causal Effects (2018, neutral): “Consequently, policy makers are now exploring nudges as a cost-effective approach for reducing energy consumption (Allcott 2015).”
- RCTs to Scale: Comprehensive Evidence from Two Nudge Units (2020, methodology): “Finally, the paper is related to the literature on scaling RCT evidence (Banerjee and Duflo, 2009; Allcott, 2015; Bold et al., 2018; Dehejia, Pop-Eleches, and Samii, 2019; Meager, 2019a; Vivalt, 2020).”