Zhixin Wang, Yu Zhang, Zhengyu Zhang
arXiv 13 Jun 2025 · Econometrics · publishedOxford Bulletin of Economics and Statistics (2025)
arXiv:2506.11694 · PDF · DOI · OpenAlex · Extracted main text
This paper investigates the structural interpretation of the marginal policy effect (MPE) within nonseparable models. We demonstrate that, for a smooth functional of the outcome distribution, the MPE equals its functional derivative evaluated at the outcome-conditioned weighted average structural derivative. This equivalence is definitional rather than identification-based. Building on this theoretical result, we propose an alternative identification strategy for the MPE that complements existing methods.
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The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | Firpo, S., Fortin, N. M., and Lemieux, T (2009) Unconditional quantile regressions | 1.000 | 21 | 5 | 100% |
| 2 | Martínez-Iriarte J, Montes-Rojas G, Sun Y (2024) Unconditional effects of general policy interventions | 1.000 | 9 | 4 | 100% |
| 3 | Rothe, C (2010) Identification of unconditional partial effects in nonseparable models | 0.956 | 8 | 5 | 88% |
| 4 | Rothe, C (2012) Partial distributional policy effects | 0.950 | 14 | 5 | 86% |
| 5 | Hoderlein, S., and Mammen, E (2007) ”Identification of marginal effects in nonseparable models without monotonicity.” | 0.899 | 11 | 4 | 73% |
| 6 | van der Vaart, AW (2000) Asymptotic Statistics | 0.737 | 4 | 3 | 50% |
| 7 | Hoderlein, S., and Mammen, E (2009) Identification and estimation of local average derivatives in nonseparable models without monotonicity | 0.737 | 3 | 3 | 67% |
| 8 | Alejo, J., Galvao, A. F., Martínez-Iriarte, J., and Montes-Rojas, G (2024) Unconditional quantile partial effects via conditional quantile regression | 0.737 | 3 | 2 | 100% |
| 9 | Firpo, S., and Pinto, C (2016) Identification and estimation of distributional impacts of interventions using changes in inequality measures | 0.644 | 2 | 2 | 100% |
| 10 | Imbens, G. W., and Newey, W. K (2009) Identification and estimation of triangular simultaneous equations models without additivity | 0.644 | 2 | 2 | 100% |
Showing the top 10 of 24 scored citations.