Treatment Effects With Unobserved Heterogeneity
A Set Identification Approach
Bibliographic Data
| ID | 19419772 |
|---|---|
| Authors | Sung Jae Jun (Department of Economics and Center for the Study of Auctions, Procurements, and Competition Policy Pennsylvania State University, 619 Kern Bldg., University Park, 16802, PA), Yoonseok Lee (0000-0002-8379-0700, Department of Economics and Center for Policy Research Syracuse University, 426 Eggers Hall, Syracuse, 13244, NY), Youngki Shin (Economics Discipline Group, University of Technology Sydney, Dr. Chau Chak Wing Building #08.09.092, Ultimo, 2007, NSW, Australia) |
| Year | 2016 |
| Volume | 34 |
| Issue | 2 |
| Pages | 302-311 |
| Publication date | 2016-04-02 |
| 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 | 10.1080/07350015.2015.1044008 |
| OpenAlex | W246160853 |
| Language | EN |
| Citations received | 2 |
| References cited | 44 |
We propose the sharp identifiable bounds of the potential outcome distributions using panel data. We allow for the possibility that statistical randomization of treatment assignments is not achieved until unobserved heterogeneity is properly controlled for. We use certain stationarity assumptions to obtain the sharp bounds. Our approach allows for dynamic treatment decisions, where the current treatment decisions may depend on the past treatments or the past observed outcomes. As an empirical illustration, we study the effect of smoking during pregnancy on infant birthweight. We find that for the group of switchers the infant birthweight of a smoking mother is first-order stochastically dominated by that of a nonsmoking mother
Average treatment effect · Covariate · Econometrics · Estimator · Mathematical economics · Panel data · Statistics · Treatment effect · Advanced Causal Inference Techniques · Computer Science · Mathematics · Medicine · Spatial and Panel Data Analysis · Statistical Methods and Inference
Bootstrap Tests for Distributional Treatment Effects in Instrumental Variable Models
Multivariate regression models for panel data
Efficient Semiparametric Estimation of Quantile Treatment Effects
Making The Most Out Of Programme Evaluations and Social Experiments
Confidence Intervals for Partially Identified Parameters
On the Pooling of Time Series and Cross Section Data
Identification of Causal Effects Using Instrumental Variables
Consistent Tests for Stochastic Dominance
The Effects of Birth Inputs on Birthweight
Nonparametric Tests for Treatment Effect Heterogeneity
Propensity Score-Matching Methods for Nonexperimental Causal Studies
Estimating Treatment Effects from Contaminated Multiperiod Education Experiments
Fixed-Effects and Related Estimators for Correlated Random-Coefficient and Treatment-Effect Panel Data Models
The Joint Determination of Union Status and Union Wage Effects
Recent Developments in the Econometrics of Program Evaluation
| Citations per year | 0.33 |
|---|---|
| Citation span | 2020 - 2025 (6) |
| Highly cited | No |