Comparing Treatments across Labor Markets
An Assessment of Nonexperimental Multiple-Treatment Strategies
Bibliographic Data
| ID | 19317438 |
|---|---|
| Authors | Carlos A Flores (0009-0002-9065-6400, California Polytechnic State University at San Luis Obispo), Oscar A Mitnik (0000-0002-7323-4559, Federal Deposit Insurance Corporation and IZA) |
| Year | 2013 |
| Volume | 95 |
| Issue | 5 |
| Pages | 1691-1707 |
| Publication date | 2013-12-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | The Review of Economics and Statistics (JOURNAL) |
| Journal identifiers | ISSN: 0034-6535 • E-ISSN: 1530-9142 |
| Publisher | MIT Press (PUBLISHER • US) |
| DOI | 10.1162/rest_a_00373 |
| OpenAlex | W1991484739 |
| Language | EN |
| Citations received | 5 |
| References cited | 34 |
We study the effectiveness of nonexperimental strategies in adjusting for comparison group differences when using data from several programs, each implemented at a different location, to compare their effect if implemented at alternative locations. First, we adjust for individual characteristics differences simultaneously across all groups using unconfoundedness-based and conditional difference-in-difference methods for multiple treatments. Second, we adjust for differences in local economic conditions and stress their role after program participation. Our results show that it is critical to have sufficient overlap across locations in both dimensions and illustrate the difficulty of adjusting for local economic conditions that differ greatly across locations
Average treatment effect · Difference in differences · Econometrics · Economics · Propensity score matching · Statistics · Advanced Causal Inference Techniques · Computer Science · Health Systems, Economic Evaluations, Quality of Life · Mathematics · Statistical Methods in Clinical Trials
Some Practical Issues in the Evaluation of Heterogeneous Labour Market Programmes by Matching Methods
Efficient semiparametric estimation of multi-valued treatment effects under ignorability
Characterizing Selection Bias Using Experimental Data
The role of the propensity score in estimating dose-response functions
Does matching overcome LaLonde's critique of nonexperimental estimators?
The Propensity Score with Continuous Treatments
The Economics and Econometrics of Active Labor Market Programs
Causal Inference With General Treatment Regimes
Causal Effects in Nonexperimental Studies
Semiparametric Difference-in-Differences Estimators
How robust is the evidence on the effects of college quality? Evidence from matching
Matching As An Econometric Evaluation Estimator
Bias-Corrected Matching Estimators for Average Treatment Effects
Was There a Riverside Miracle? A Hierarchical Framework for Evaluating Programs With Grouped Data
Propensity Score-Matching Methods for Nonexperimental Causal Studies
Can Propensity-Score Methods Match the Findings from a Random Assignment Evaluation of Mandatory Welfare-to-Work Programs
Program Heterogeneity and Propensity Score Matching
Using State Administrative Data to Measure Program Performance
Recent Developments in the Econometrics of Program Evaluation
Have Welfare-to-Work Programs Improved over Time in Putting Welfare Recipients to Work
| Unique citing works | 5 |
|---|---|
| Citations per year | 0.56 |
| Citation span | 2017 - 2026 (10) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 5 |