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

目录

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

General

• IEanalytics: introducing the Development Impact Evaluation wiki

Random Assignment

• 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-analysis plans and reporting

• 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

Propensity Score Matching

Guido Imbens on clustering standard errors with matching

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

Difference-in-Differences

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

Regression Discontinuity

• 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

Synthetic Controls

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

Instrumental Variables

• Rethinking identification under the Bartik/Shift-Share instruments

Machine learning

• How can machine learning and artificial intelligence be used in development interventions and analysis?

Other Evaluation Methods

• 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

Analysis

• 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?

Power Calculations and Improving Power

• 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?

On External Validity

• 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

Jargony Terms in Impact Evaluations

• 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

Stata Tricks

• 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

Replication

• 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

Systematic reviews and meta-analysis

• 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

Book Reviews for Books on Impact Evaluation

• 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

连享会计量方法专题……

Getting Published

• 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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