Jiafeng Chen, David M. Ritzwoller
arXiv 30 Jul 2021 · Econometrics · publishedJournal of Econometrics (2023) · 9 citations (OpenAlex)
arXiv:2107.14405 · PDF · DOI · OpenAlex · Extracted main text
Long-term outcomes of experimental evaluations are necessarily observed after long delays. We develop semiparametric methods for combining the short-term outcomes of experiments with observational measurements of short-term and long-term outcomes, in order to estimate long-term treatment effects. We characterize semiparametric efficiency bounds for various instances of this problem. These calculations facilitate the construction of several estimators. We analyze the finite-sample performance of these estimators with a simulation calibrated to data from an evaluation of the long-term effects of a poverty alleviation program.
appendix boundary found by appendix_titled_section at “Simulation\label{sec:appendix simulation}” · 92% of the source is main text. Read the extracted text to check this.
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 | Athey, S., Chetty, R., Imbens, G., and Kang, H (2020) Estimating treatment effects using multiple surrogates: The role of the surrogate score and the surrogate index | 1.000 | 16 | 5 | 100% |
| 2 | Athey, S., Chetty, R., and Imbens, G (2020) Combining experimental and observational data to estimate treatment effects on long term outcomes | 1.000 | 15 | 5 | 100% |
| 3 | Chen, X. and Liao, Z (2015) Sieve semiparametric two-step gmm under weak dependence | 1.000 | 11 | 3 | 100% |
| 4 | Chernozhukov, V., Chetverikov, D., Demirer, M., Duflo, E., Hansen, C… (2018) Double/debiased machine learning for treatment and structural parameters | 0.974 | 13 | 5 | 92% |
| 5 | Dynarski, S., Libassi, C., Michelmore, K., and Owen, S (2021) Closing the gap: The effect of reducing complexity and uncertainty in college pricing on the choices of low-income students | 0.928 | 4 | 3 | 100% |
| 6 | Hahn, J (1998) On the role of the propensity score in efficient semiparametric estimation of average treatment effects | 0.928 | 4 | 3 | 100% |
| 7 | Bickel, P. J., Klaassen, C. A., Ritov, Y., and Wellner, J. A (1993) Efficient and adaptive estimation for semiparametric models, volume 4 | 0.843 | 3 | 3 | 100% |
| 8 | Chen, X., Liao, Z., and Sun, Y (2014) Sieve inference on possibly misspecified semi-nonparametric time series models | 0.811 | 4 | 2 | 100% |
| 9 | Chen, X. and Santos, A (2018) Overidentification in regular models | 0.811 | 4 | 2 | 100% |
| 10 | Imbens, G. W (2004) Nonparametric estimation of average treatment effects under exogeneity: A review | 0.811 | 4 | 2 | 100% |
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