arXiv 30 Sep 2024 · Econometrics
arXiv:2410.00217 · PDF · DOI · OpenAlex · Extracted main text
Economists often estimate causal effects of policies on multiple outcomes and summarize them into scalar measures of cost-effectiveness or welfare, such as the Marginal Value of Public Funds (MVPF). In many settings, microdata underlying these estimates are unavailable, leaving researchers with only published estimates and their standard errors. We develop tools for valid inference on functions of causal effects, such as the MVPF, when the correlation structure is unknown. Our approach is to construct worst-case confidence intervals, leveraging experimental designs to tighten them, and to assess robustness using breakdown analyses. We illustrate our method with MVPFs for eight policies.
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| Reference | Intensity | Mentions | Sections | Main text | |
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| 1 | Cynthia Miller, Lawrence F Katz, Gilda Azurdia, Adam Isen \ Caroline… (2017) Expanding the earned income tax credit for workers without dependent children: Interim findings from the paycheck plus demonstra… | 0.843 | 4 | 3 | 75% |
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| 3 | Matthew D Cocci \ Mikkel Plagborg-Mller (2024) Standard errors for calibrated parameters | 0.794 | 6 | 3 | 50% |
| 4 | Gal Wettstein (2020) Retirement lock and prescription drug insurance: Evidence from medicare part d | 0.644 | 10 | 2 | 40% |
| 5 | E Jason Baron \ Max Gross (2022) Is there a foster care-to-prison pipeline? Evidence from quasi-randomly assigned investigators | 0.644 | 4 | 2 | 50% |
| 6 | Po-Chun Huang \ Tzu-Ting Yang (2021) The welfare effects of extending unemployment benefits: Evidence from re-employment and unemployment transfers | 0.644 | 4 | 2 | 50% |
| 7 | Arnold Zellner (1962) An efficient method of estimating seemingly unrelated regressions and tests for aggregation bias | 0.644 | 2 | 2 | 100% |
| 8 | Graham Elliott, Ulrich K Müller \ Mark W Watson (2015) Nearly optimal tests when a nuisance parameter is present under the null hypothesis | 0.511 | 2 | 2 | 50% |
| lewandowski2009generating | unmatched citation key lewandowski2009generating | 0.511 | 2 | 2 | 50% |
| 10 | Joseph P Romano \ EL Lehmann (2005) Testing statistical hypotheses | 0.511 | 2 | 2 | 50% |
Showing the top 10 of 27 scored citations. 1 of these could not be matched to a bibliography entry, so only the citation key is shown.
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| Citing paper | Intensity | Mentions | Sections | |
|---|---|---|---|---|
| 1 | Bounds for Standard Errors in Combined Data | 0.511 | 2 | 1 |