Federico A. Bugni

937 total citations
19 papers, 377 citations indexed

About

Federico A. Bugni is a scholar working on Statistics and Probability, Economics and Econometrics and General Economics, Econometrics and Finance. According to data from OpenAlex, Federico A. Bugni has authored 19 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistics and Probability, 6 papers in Economics and Econometrics and 5 papers in General Economics, Econometrics and Finance. Recurrent topics in Federico A. Bugni's work include Statistical Methods and Inference (12 papers), Statistical Methods and Bayesian Inference (6 papers) and Advanced Causal Inference Techniques (5 papers). Federico A. Bugni is often cited by papers focused on Statistical Methods and Inference (12 papers), Statistical Methods and Bayesian Inference (6 papers) and Advanced Causal Inference Techniques (5 papers). Federico A. Bugni collaborates with scholars based in United States, Australia and Singapore. Federico A. Bugni's co-authors include Ivan A. Canay, Azeem M. Shaikh, Xiaoxia Shi, Joël L. Horowitz, Peter Hall, George R. Neumann, Patrik Guggenberger, Qiyuan Li, Jia Li and Esteban Aucejo and has published in prestigious journals such as Journal of the American Statistical Association, Econometrica and Journal of Econometrics.

In The Last Decade

Federico A. Bugni

19 papers receiving 365 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Federico A. Bugni United States	9	252	105	53	47	33	19	377
Taisuke Otsu United Kingdom	12	264 1.0×	106 1.0×	38 0.7×	88 1.9×	58 1.8×	75	414
Songnian Chen Hong Kong	13	333 1.3×	226 2.2×	46 0.9×	85 1.8×	38 1.2×	49	541
Xiaohong Chen United States	6	125 0.5×	183 1.7×	36 0.7×	138 2.9×	58 1.8×	15	372
Hyungtaik Ahn South Korea	7	118 0.5×	101 1.0×	50 0.9×	57 1.2×	55 1.7×	11	295
Toru Kitagawa United Kingdom	9	182 0.7×	146 1.4×	59 1.1×	53 1.1×	18 0.5×	25	369
Demián Pouzo United States	10	228 0.9×	203 1.9×	48 0.9×	144 3.1×	129 3.9×	27	487
Tiemen Woutersen United States	8	109 0.4×	142 1.4×	22 0.4×	80 1.7×	69 2.1×	24	271
Yannis Bilias United States	8	213 0.8×	153 1.5×	33 0.6×	48 1.0×	94 2.8×	14	431
John Xu Zheng United States	5	323 1.3×	140 1.3×	54 1.0×	98 2.1×	151 4.6×	6	486

Countries citing papers authored by Federico A. Bugni

Since Specialization

Citations

This map shows the geographic impact of Federico A. Bugni's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Federico A. Bugni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico A. Bugni more than expected).

Fields of papers citing papers by Federico A. Bugni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Federico A. Bugni. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Federico A. Bugni. The network helps show where Federico A. Bugni may publish in the future.

Co-authorship network of co-authors of Federico A. Bugni

This figure shows the co-authorship network connecting the top 25 collaborators of Federico A. Bugni. A scholar is included among the top collaborators of Federico A. Bugni based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Federico A. Bugni. Federico A. Bugni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Bugni, Federico A., et al.. (2024). Inference for Cluster Randomized Experiments with Nonignorable Cluster Sizes. RePEc: Research Papers in Economics. 3(2). 255–288. 3 indexed citations

Bugni, Federico A., Jia Li, & Qiyuan Li. (2023). Permutation‐based tests for discontinuities in event studies. Quantitative Economics. 14(1). 37–70. 3 indexed citations

Bugni, Federico A. & Joël L. Horowitz. (2021). Permutation tests for equality of distributions of functional data. Journal of Applied Econometrics. 36(7). 861–877. 8 indexed citations

Bugni, Federico A., et al.. (2020). On the Iterated Estimation of Dynamic Discrete Choice Games. The Review of Economic Studies. 88(3). 1031–1073. 2 indexed citations

Bugni, Federico A. & Ivan A. Canay. (2020). Testing continuity of a density via g-order statistics in the regression discontinuity design. Journal of Econometrics. 221(1). 138–159. 13 indexed citations

Bugni, Federico A., Ivan A. Canay, & Azeem M. Shaikh. (2019). Inference under Covariate-Adaptive Randomization with Multiple Treatments. SSRN Electronic Journal. 2 indexed citations

Bugni, Federico A., et al.. (2019). Inference in dynamic discrete choice problems under local misspecification. Quantitative Economics. 10(1). 67–103. 3 indexed citations

Bugni, Federico A., Ivan A. Canay, & Azeem M. Shaikh. (2019). Inference under covariate‐adaptive randomization with multiple treatments. Quantitative Economics. 10(4). 1747–1785. 38 indexed citations

Bugni, Federico A., Ivan A. Canay, & Azeem M. Shaikh. (2017). Inference Under Covariate-Adaptive Randomization. Journal of the American Statistical Association. 113(524). 1784–1796. 79 indexed citations

10.

Bugni, Federico A., Ivan A. Canay, & Xiaoxia Shi. (2017). Inference for subvectors and other functions of partially identified parameters in moment inequality models. Quantitative Economics. 8(1). 1–38. 48 indexed citations

11.

Bugni, Federico A., Ivan A. Canay, & Xiaoxia Shi. (2016). Supplement to \Inference for Subvectors and Other Functions of Partially Identied Parameters in Moment Inequality Models". 1 indexed citations

12.

Aucejo, Esteban, Federico A. Bugni, & V. Joseph Hotz. (2015). IDENTIFICATION AND INFERENCE ON REGRESSIONS WITH MISSING COVARIATE DATA. Econometric Theory. 33(1). 196–241. 2 indexed citations

13.

Bugni, Federico A.. (2014). COMPARISON OF INFERENTIAL METHODS IN PARTIALLY IDENTIFIED MODELS IN TERMS OF ERROR IN COVERAGE PROBABILITY. Econometric Theory. 32(1). 187–242. 7 indexed citations

14.

Bugni, Federico A., Ivan A. Canay, & Xiaoxia Shi. (2014). Specification tests for partially identified models defined by moment inequalities. Journal of Econometrics. 185(1). 259–282. 24 indexed citations

15.

Bugni, Federico A., Ivan A. Canay, & Patrik Guggenberger. (2012). Distortions of Asymptotic Confidence Size in Locally Misspecified Moment Inequality Models. Econometrica. 80(4). 1741–1768. 11 indexed citations

16.

Bugni, Federico A.. (2011). A Comparison of Inferential Methods in Partially Identified Models in Terms of Error in the Coverage Probability. SSRN Electronic Journal. 4 indexed citations

17.

Bugni, Federico A.. (2011). Child labor legislation: effective, benign, both, or neither?. Cliometrica. 6(3). 223–248. 5 indexed citations

18.

Bugni, Federico A.. (2010). Bootstrap Inference in Partially Identified Models Defined by Moment Inequalities: Coverage of the Identified Set. Econometrica. 78(2). 735–753. 97 indexed citations

19.

Bugni, Federico A., Peter Hall, Joël L. Horowitz, & George R. Neumann. (2009). Goodness-of-fit tests for functional data. Econometrics Journal. 12. S1–S18. 27 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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