On the Specification of Propensity Scores, With Applications to the Analysis of Trade Policies
Bibliographic Data
| ID | 19418679 |
|---|---|
| Authors | Daniel L Millimet (0000-0001-5178-5993, Southern Methodist University), Rusty Tchernis (Indiana University Bloomington) |
| Year | 2009 |
| Volume | 27 |
| Issue | 3 |
| Pages | 397-415 |
| Publication date | 2009-07-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of Business and Economic Statistics (JOURNAL) |
| Journal identifiers | ISSN: 0735-0015 • E-ISSN: 1537-2707 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1198/jbes.2009.06045 |
| OpenAlex | W2001526844 |
| Language | EN |
| Citations received | 10 |
| References cited | 37 |
The use of propensity score methods for program evaluation with nonexperimental data typically requires that the propensity score be estimated, often with a model whose specification is unknown. Although theoretical results suggest that estimators using more flexible propensity score specifications perform better, this has not filtered into applied research. Here we provide Monte Carlo evidence indicating benefits of overspecifying the propensity score that are robust across a number of different covariate structures and estimators. We illustrate these results with two applications, one assessing the environmental effects of General Agreement on Tariffs and Trade/World Trade Organization membership and the other assessing the impact of adopting the euro on bilateral trade
Covariate · Econometrics · Economics · Estimator · Monte Carlo method · Propensity score matching · Specification · Statistics · Advanced Causal Inference Techniques · Computer Science · Economic Policies and Impacts · Global trade and economics · Mathematics
Matching Methods in Practice
Comparing Multiple Imputation and Propensity-Score Weighting in Unit-Nonresponse Adjustments
A Smooth Specification Test for the Propensity Score
Covariate distribution balance via propensity scores
SNAP participation, diet quality, and obesity
Environmental effects of Gatt/WTO membership
The Finite Sample Performance of Inference Methods for Propensity Score Matching and Weighting Estimators
Abadie’s Kappa and Weighting Estimators of the Local Average Treatment Effect
Environmental decentralization and political centralization
Explaining the Female Black-White Obesity Gap
Does Trade Cause Growth?
Do We Really Know That the WTO Increases Trade?
Estimation of Causal Effects using Propensity Score Weighting
Does matching overcome LaLonde's critique of nonexperimental estimators?
Variable Selection for Propensity Score Models
Semiparametric Efficiency in Multivariate Regression Models with Missing Data
On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects
Some Thoughts on the Distribution of Earnings 1
Matching Using Estimated Propensity Scores
On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9
Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score
Causal Effects in Nonexperimental Studies
Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group
One money, one market
Semiparametric Difference-in-Differences Estimators
Is Free Trade Good for the Environment?
How robust is the evidence on the effects of college quality? Evidence from matching
The central role of the propensity score in observational studies for causal effects
Estimating causal effects of treatments in randomized and nonrandomized studies.
Is Trade Good or Bad for the Environment? Sorting Out the Causality
Nonparametric Estimation of Average Treatment Effects Under Exogeneity
The WTO as a Mechanism for Securing Market Access Property Rights
| Unique citing works | 10 |
|---|---|
| Citations per year | 0,67 |
| Citation span | 2011 - 2026 (16) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 10 |