Heckman selection model
← Most-used equations and models
Corrects for non-random selection of the observed sample with the inverse Mills ratio from a first-stage probit.
LaTeX: E[y_i \mid x_i, s_i = 1] = x_i^\top\beta + \rho\,\sigma_\varepsilon\,\lambda(z_i^\top\gamma),\quad \lambda(\cdot) = \frac{\phi(\cdot)}{\Phi(\cdot)}
Key findings
- Heckman selection model was mentioned in 10 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #66 of the 104 equations and models mentioned.
- By journal category: Management (4), Finance (3) and Economics (3).
- Most of them appeared in International Review of Economics & Finance (2), Asia Pacific Journal of Management (1) and Management Review Quarterly (1).
- Often mentioned together with Propensity score matching (8), Instrumental variables (two-stage least squares) (7) and Ordinary least squares (OLS) (4).
- Datasets named in the same papers: CSMAR (2), CNRDS (2) and Wind (2).
- From Apr 2024 to Sep 2026, 37 archived papers mentioned Heckman selection model in their title, abstract or keywords, most of them in Sep 2026 (7).
Mentions over 30 months
| Trend | Apr 24–Sep 24 | Oct 24–Sep 25 | Oct 25–Sep 26 | 30 months |
|---|---|---|---|---|
| 6 | 23 | 8 | 37 |
Cite this page
Scholar4AI. (2026). Heckman selection model. Journal Research Rankings. Retrieved October 26, 2026, from https://scholar4ai.com/equations/heckman-selection-model
@misc{scholar4ai-equations-heckman-selection-model,
author = {{Scholar4AI}},
title = {Heckman selection model},
year = {2026},
howpublished = {\url{https://scholar4ai.com/equations/heckman-selection-model}},
urldate = {2026-10-26},
note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}