The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Using Randomization in Development Economics Research: A Toolkit
Open accessAbstract
This paper is a practical guide (a toolkit) for researchers, students and practitioners wishing to introduce randomization as part of a research design in the field.It first covers the rationale for the use of randomization, as a solution to selection bias and a partial solution to publication biases.Second, it discusses various ways in which randomization can be practically introduced in a field settings.Third, it discusses designs issues such as sample size requirements, stratification, level of randomization and data collection methods.Fourth, it discusses how to analyze data from randomized evaluations when there are departures from the basic framework.It reviews in particular how to handle imperfect compliance and externalities.Finally, it discusses some of the issues involved in drawing general conclusions from randomized evaluations, including the necessary use of theory as a guide when designing evaluations and interpreting results.
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Cites
Sample Selection Bias as a Specification Error
Heckman, J. J. (1979) · Econometrica · doi:10.2307/1912352 · Cited by 28,779
How Much Should We Trust Differences-in-Differences Estimates?
Bertrand, M., Duflo, E., & Mullainathan, S. (2004) · The Quarterly Journal of Economics · doi:10.1162/003355304772839588 · Cited by 10,641
Self-citationEstimating causal effects of treatments in randomized and nonrandomized studies
Rubin, D. B. (1974) · Journal of Educational Psychology · doi:10.1037/h0037350 · Cited by 9,436
The analysis of household surveys: A microeconometric approach to development policy
Deaton, A. (1997) · doi:10.1596/0-8018-5254-4 · Cited by 4,877
Does matching overcome lalonde’s critique of nonexperimental estimators?
A. Smith, J., & E. Todd, P. (2005) · Journal of Econometrics · doi:10.1016/j.jeconom.2004.04.011 · Cited by 3,176
Characterizing Selection Bias Using Experimental Data
Heckman, J., Ichimura, H., Smith, J., & Todd, P. (1998) · Econometrica · doi:10.2307/2999630 · Cited by 2,286
Remedying Education: Evidence from Two Randomized Experiments in India
Banerjee, A. V., Cole, S., Duflo, E., & Linden, L. (2007) · The Quarterly Journal of Economics · doi:10.1162/qjec.122.3.1235 · Cited by 1,398
Self-citationInference with Difference-in-Differences and Other Panel Data
Donald, S. G., & Lang, K. (2007) · Review of Economics and Statistics · doi:10.1162/rest.89.2.221 · Cited by 1,324
Modeling Publication Selection Effects in Meta-Analysis
Hedges, L. V. (1992) · Statistical Science · doi:10.1214/ss/1177011364 · Cited by 359
General Equilibrium Treatment Effects: A Study of Tuition Policy
Heckman, J., Lochner, L., & Taber, C. (1998) · doi:10.3386/w6426 · Cited by 289
Cited by
A Practitioner’s Guide to Cluster-Robust Inference
Colin Cameron, A., & Miller, D. L. (2015) · Journal of Human Resources · doi:10.3368/jhr.50.2.317 · Cited by 5,037
Recent Developments in the Econometrics of Program Evaluation
Imbens, G. W., & Wooldridge, J. M. (2009) · Journal of Economic Literature · doi:10.1257/jel.47.1.5 · Cited by 4,926
Beyond baseline and follow-up: The case for more T in experiments
McKenzie, D. (2012) · Journal of Development Economics · doi:10.1016/j.jdeveco.2012.01.002 · Cited by 871
Lagged Explanatory Variables and the Estimation of Causal Effect
Bellemare, M. F., Masaki, T., & Pepinsky, T. B. (2017) · The Journal of Politics · doi:10.1086/690946 · Cited by 804
In Pursuit of Balance: Randomization in Practice in Development Field Experiments
Bruhn, M., & McKenzie, D. (2009) · American Economic Journal: Applied Economics · doi:10.1257/app.1.4.200 · Cited by 788
Metadata
- Authors
- Duflo, E., Glennerster, R., & Kremer, M.
- Venue
- National Bureau of Economic Research
- Publisher
- National Bureau of Economic Research
- Published
- 2006-12
- OpenAlex
- W1568247155
- Cited by
- 1,191
- References
- 10
- Type
- report
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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