Jonathan Mummolo
Statistics and Probability · 2016–2020
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 33 citations into it
- Economics and Econometrics — 14 citations into it
Whom Jonathan Mummolo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Jonathan Mummolo's perspective
Ordered by how strongly the researchers Jonathan Mummolo trusts endorse each paper. Same corpus, a different order for every researcher.
- Econometric Analysis of Cross Section and Panel Data
- Agnostic notes on regression adjustments to experimental data: Reexamining Freedman's critique
- Solutions Manual and Supplementary Materials for Econometric Analysis of Cross Section and Panel Data
- [On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9.] Comment: Neyman (1923) and Causal Inference in Experiments and Observational Studies
- Statistics and Causal Inference
- Estimating causal effects of treatments in randomized and nonrandomized studies.
- The central role of the propensity score in observational studies for causal effects
- Observational Studies
- Marginal Structural Models versus Structural nested Models as Tools for Causal inference
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
Their papers
- Administrative Records Mask Racially Biased Policing—CORRIGENDUM (2020) — 108 citations
- Improving the Interpretation of Fixed Effects Regression Results (2018) — 286 citations
- How Much Should We Trust Estimates from Multiplicative Interaction Models? Simple Tools to Improve Empirical Practice (2016) — 951 citations