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Source: A Curated List of Our Postings on Technical Topics – Your One-Stop Shop for Methodology

**目录**

- General
- Random Assignment
- Pre-analysis plans and reporting
- Propensity Score Matching
- Difference-in-Differences
- Regression Discontinuity
- Synthetic Controls
- Instrumental Variables
- Machine learning
- Other Evaluation Methods
- Analysis
- Power Calculations and Improving Power
- On External Validity
- Jargony Terms in Impact Evaluations
- Stata Tricks
- Replication
- Systematic reviews and meta-analysis
- Book Reviews for Books on Impact Evaluation
- Getting Published
- 相关课程
- 课程一览

This is a curated list of our technical postings, to serve as a one-stop shop for your technical reading. I’ve focused here on our posts on methodological issues in impact evaluation – we also have a whole lot of posts on how to conduct surveys and measure certain concepts curated here. *In lieu of our regular links this week, it is u**pdated up to October 25, 2018*

Allocating treatment and control with multiple applications per applicant and ranked choices Is optimization just re-randomization redux? Thoughts on the "don't randomize, optimize" papers Be an optimista, not a randomista, when you have small samples Tips for randomization in the wild: adding a waitlist How to randomize in the field Stratified randomization and the FIFA world cup Doing stratified randomization with uneven numbers in the Strata How to randomize using many baseline variables Public randomization ceremonies Designing experiments to measure spillover effects Mechanism experiments and opening up the black box Sample weights and RCT design Response to the policymaker complaint that randomized experiments take too much time Have RCTs taken over development economics? Definitions in RCTs with interference What does a game-theoretic model with belief-dependent preferences teach us about how to randomize? Incorporating participant welfare and ethics into RCTs Are we over-investing in baselines? Most good you can do, but for whom? (on spillovers)

Pre-registration of studies to avoid fishing and allow transparent discovery A joint test of orthogonality when testing for baseline balance A pre-analysis plan check-list The New Trial Registries What isn’t reported in impact evaluations but maybe should be Randomization checks: testing for joint orthogonality An addendum to pre-analysis plans: pre-specifying when not to use data A pre-analysis plan is the only way to take your p-values seriously Trouble with pre-analysis plans? try these 3 weird tricks Should we require balance t-tests on observables with randomized experiments? Registered reports: piloting a pre-results review process at the JDE Declaring and diagnosing research designs

Guido Imbens on clustering standard errors with matching

Testing different matching estimators as applied to job training programs The covariate balanced propensity score

The often unspoken assumptions behind diff-in-diff How big data helped us estimate the impact of an intervention with 0.8% take-up

Curves in all the wrong places: Gelman and Imbens on why not to use higher-order polynomials in RD Regression discontinuity with an implicit index Tools of the trade: the regression kink design

Evaluating an Argentine tourism policy using synthetic controls: tan linda que enamora? The synthetic control method, as applied to regulatory reforms

Impact as narrative Using spatial variation in program performance to identify impacts Small n impact evaluation methods Can we trust shoestring evaluations? Using case studies to explore and explain complex interventions

Another reason to prefer Ancova: dealing with measurement changes between baseline and follow-up Endogenous stratification: the surprisingly easy way to bias your heterogeneous treatment effects and what to do instead Why is difference-in-difference estimation still so popular in experimental analysis? Regression adjustment in randomized experiments (part one, part two) When to use survey weights in analysis Adjustments for multiple hypothesis testing Bounding approaches to deal with attrition Linear probability models versus probits Dealing with multiple lotteries Estimating standard errors with small clusters (part one, part two) Decomposition methods Estimation of treatment effects with incomplete compliance What does Alwyn Young's paper mean for analysis of experiments? Winsorizing, testing balance, and dealing with incomplete take-up You ran a field experiment, should you then run a regression? Sometimes, increasingly, estimating the ITT is not enough in experiments Finally an easy way to do randomization inference in Stata When should you cluster standard errors? New wisdom from the econometrics oracle Your go to regression specification is biased: here is the simple fix What should you do when your random assignment gets compromised?

Should I work with only a subsample of my control group if I have take-up problems? Power calculations: what software should I use? Does the intra-cluster correlation matter for power calculations if I am going to cluster my standard errors? Power calculations for propensity score matching Power calculations 101: dealing with incomplete take-up Collecting more rounds of data to boost power Improving power in small samples Did you do your power calculations using standard deviations? Do them again. Power calculations for regression discontinuity (part 1, part 2, part 3) Power calculation software for randomized saturation experiments Statistical power and the funnel of attribution Should you over-sample compliers if budget is limited and you are concerned about take-up?

Getting beyond the mirage of external validity All those external validity issues with impacts? They apply to costs too External validity as seen from other quantitative social sciences and the gaps in our practices Towards a more systematic approach to external validity: understanding site selection bias Weighting for external validity Will that successful intervention over there get results here? Learn to live without external validity Why the external validity of regression estimates can be less than you think Why similarity is the wrong concept for external validity A rant on the external validity double standard Towards policy irrelevance: on the experimental arms race What's wrong in how we do impact evaluation? What's in a title? Signaling external validity through titles in development economics A framework for taking evidence from one setting to another Informing policy with research that is more than the sum of the parts

A proposed taxonomy of behavioral responses to evaluation Quantifying the Hawthorne effect The Hawthorne Effect The John Henry Effect Placebo effects Clinical Equipoise Social Desirability Bias/Experimenter Demand Effects and more on Experimenter Demand Effects

Generating regression and summary statistics tables in Stata Graphing impacts with Standard Error Bars Calculating the intra-cluster correlation Generating regression and summary statistics tables in Stata: A checklist and code Stata code for correlated random coefficient models Finally an easy way to do randomization inference in Stata IEanalytics: introducing ietoolkit Five small things I've learned recently

Worm wars: the anthology Worm wars: a review of the reanalysis of the Miguel and Kremer deworming study Response to Brown and Wood's response Brown and Woods response on "how scientific are scientific replications" how scientific are scientific replications? The infinite loop of failure of replication in economics More replication in economics A cynic's take on papers with novel methods to improve transparency

how systematic is that systematic review? The case of learning outcomes How standard is a standard deviation? A cautionary note on using SDs to compare across impact evaluations should we give up on SDs for measuring effect size? What do 600 papers on 20 types of interventions tell us about what types of interventions generalize? If you want your study included in a systematic review, this is what you should report

Review of Banerjee and Duflo's Poor Economics (and authors' reply) Review of Manzi's Uncontrolled Review of Imbens and Rubin's Causal Inference Review of Glennerster and Takavarasha's Running Randomized Experiments Review of Gerber and Green's Field Experiments Review of Karlan and Appel's Failing in the Field Review of Ogden's Experiments in Development from Every Angle Review of Leigh's Randomistas: how radical researchers changed the world Review of Gugerty and Karlan's The Goldilocks Challenge: Right-fit evidence for the social sector

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11 tips for making a short presentation based on your research State of Development Journals 2017 10 journals for publishing a short economics paper How to publish statistically insignificant results in development The State of Development Journals 2018 Writing a papers and proceedings paper Have descriptive development papers been crowded out by impact evaluations? Make your research known - 10 tools for increasing consumption of your research

Tags:Difference-in-difference || statistical power || propensity score || external validity || randomization || Life the Universe and Everything

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