Correcting for Endogeneity in Models with Bunching
Bibliographic Data
| ID | 19418791 |
|---|---|
| Authors | Carolina Caetano (0000-0002-6656-1340, University of Georgia, Athens, GA, corresponding author), Gregorio Caetano (0000-0001-5382-2399, University of Georgia, Athens, GA), Eric Nielsen (Federal Reserve Board, Washington, DC) |
| Year | 2024 |
| Volume | 42 |
| Issue | 3 |
| Pages | 851-863 |
| Publication date | 2024-07-02 |
| 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 | 10.1080/07350015.2023.2252471 |
| OpenAlex | W4386440660 |
| Language | EN |
| Citations received | 2 |
| References cited | 71 |
We develop a novel control function approach in models where the treatment variable has bunching at one corner of its support. This situation typically arises when the treatment variable is a constrained choice and some observations choose the corner solution. The method exploits distributional shape restrictions but makes no exclusion restrictions. We provide estimators and establish their asymptotic behavior, prove the convergence of the bootstrap, and develop tests of the identification assumptions. An application reveals that watching television has no effect on cognitive skills and a negative effect on noncognitive skills in children
Econometrics · Economics · Endogeneity · Advanced Causal Inference Techniques · Computer Science · Economic Policies and Impacts · Labor market dynamics and wage inequality
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| Citations per year | 1 |
|---|---|
| Citation span | 2024 - 2025 (2) |
| Highly cited | No |