Instruments, Randomization, and Learning about Development
By Angus Deaton. 2010
1,252 citations recorded by the source corpus.
Subfields: Development, Information Systems, Safety Research
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Development
- Markus Brückner
- W. Schlenker
- Paulo M. D. C. Parente
- Katharine M. Conn
- J. Gippel
- M. Lafourcade
- Cristian Pop-Eleches
- Miguel S. Urquiola
In Information Systems
- Paulo M. D. C. Parente
- Katharine M. Conn
- J. Gippel
- Cristian Pop-Eleches
- Miguel S. Urquiola
- J. Aron
- Edward Miguel
- A. Dillon
In Safety Research
- Patrick Mcewan
- Katharine M. Conn
- Guido W. Imbens
- Markus Brückner
- Joshua L. Kalla
- Miguel S. Urquiola
- Luke Keele
- Juan Jose Miranda
Citations in the corpus
- The Econometrics of Randomized Experiments (2016, background): “Since randomization does not justify the models, almost anything can happen” (Freedman, 2008, abstract) and similar comments are made by Deaton (2010) Young (2016), and Imbens and Rubin (2015).”
- General Equilibrium Effects of Cash Transfers: Experimental Evidence from Kenya (2019, methodology): “Our approach thus provides a novel counter-example to the well-known critique that RCT methods are not well-suited to studying the “big” questions in development economics (Bardhan 2005; Easterly 2006; Deaton 2010).”
- Identifying Effective Education Interventions in Sub-Saharan Africa: A Meta-Analysis of Impact Evaluations (2017, background): “However, individually, these experiments may offer only limited policyrelevant information, as they may be (a) too narrow in focus and too specific to a particular locale in order to generalize their results or (b) too far removed from the true causal mechanism behind a program’s impact to be practi”
- Comparing and combining process-based crop models and statistical models with some implications for climate change (2017, background): “…approaches roughly align with what economists call structural and reduced form methods in applied economics, or what others call model based and design based approaches (Card 2012), a subject of considerable methodological debate (Freedman 1991, Heckman and Urzua 2010, Deaton 2010, Imbens 2010).”
- Social and Economic Returns to College Education in the United States (2012, background): “Apparently, the IV estimates contained more than just a correction for ability bias (Deaton 2010).”
- Mobile Money and the Economy: A Review of the Evidence (2018, background): “Deaton (2010) argues that there are actually two stages of selection. In the first, a group is chosen from the entire population that will in the second stage be randomly divided into the treated and control groups. The first stage is not random, but may be determined by convenience or politics, and”
- The Production of Human Capital in Developed Countries: Evidence from 196 Randomized Field Experiments (2016, neutral): “[70] Deaton, Angus.”
- Improving Learning in Primary Schools of Developing Countries (2015, background): “See Duflo et al. (2008) for technical details, and Banerjee et al.”
- Setting Priorities, Targeting Subsidies among Water, Sanitation, and Preventive Health Interventions in Developing Countries (2012, background): “…skepticism about the confidence that health sector professionals sometimes place in new innovations in service delivery and technology and in rigorous program evaluation methods such as randomized controlled trials, for finding " evidence-based " solutions to these policy puzzles (Deaton, 2010).”
- Social Experiments in the Labor Market (2016, neutral): “2 For recent criticisms of reliance on RCTs with particular relevance to labor market studies, see Deaton (2010) and Heckman (2010).”
- Scaling Up What Works: Experimental Evidence on External Validity in Kenyan Education (2013, background): “Strong effects of shortterm contracts produced in controlled experimental settings are lost in weak public institutions: NGO implementation produces a positive effect on test scores across diverse contexts, while government implementation yields zero effect.”