Sample Selection Bias as a Specification Error
Bibliographic Data
| ID | 23313283 |
|---|---|
| Authors | James J Heckman (0000-0002-0399-662X, corresponding author) |
| Year | 1979 |
| Volume | 47 |
| Issue | 1 |
| Pages | 153 |
| Publication date | 1979-01-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Econometrica (JOURNAL) |
| Journal identifiers | ISSN: 0012-9682 • E-ISSN: 1468-0262 |
| Publisher | JSTOR (PUBLISHER) |
| DOI | 10.2307/1912352 |
| OpenAlex | W2139122730 |
| Language | EN |
| Citations received | 4.039 |
| References cited | 1 |
Sample selection bias as a specification error This paper discusses the bias that results from using non-randomly selected samples to estimate behavioral relationships as an ordinary specification error or «omitted variables» bias. A simple consistent two stage estimator is considered that enables analysts to utilize simple regression methods to estimate behavioral functions by least squares methods. The asymptotic distribution of the estimator is derived.
Econometrics · Economics · Sample (material) · Selection (genetic algorithm) · Selection bias · Statistics · Advanced Computational Techniques in Science and Engineering · Artificial Intelligence · Chemistry · Computer Science · Mathematics
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Livelihood mushroomed
| Unique citing works | 4.039 |
|---|---|
| Citations per year | 84,15 |
| Citation span | 1978 - 2026 (49) |
| Citation velocity | current |
| Highly cited | Yes |
| Citation types | Neutral: 3.533 |