Blaise Melly

2.4k total citations
28 papers, 1.3k citations indexed

About

Blaise Melly is a scholar working on Statistics and Probability, Economics and Econometrics and General Economics, Econometrics and Finance. According to data from OpenAlex, Blaise Melly has authored 28 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Statistics and Probability, 15 papers in Economics and Econometrics and 4 papers in General Economics, Econometrics and Finance. Recurrent topics in Blaise Melly's work include Advanced Causal Inference Techniques (16 papers), Statistical Methods and Inference (15 papers) and Labor market dynamics and wage inequality (6 papers). Blaise Melly is often cited by papers focused on Advanced Causal Inference Techniques (16 papers), Statistical Methods and Inference (15 papers) and Labor market dynamics and wage inequality (6 papers). Blaise Melly collaborates with scholars based in Switzerland, United States and Germany. Blaise Melly's co-authors include Markus Frölich, Iván Fernández‐Val, Victor Chernozhukov, Brigham Frandsen, Martin Huber, Michael Lechner, Patrick A. Puhani, Kaspar Wüthrich, José A. F. Machado and Bernd Fitzenberger and has published in prestigious journals such as Journal of the American Statistical Association, Journal of Econometrics and Journal of Business and Economic Statistics.

In The Last Decade

Blaise Melly

28 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Blaise Melly Switzerland 15 839 264 263 228 165 28 1.3k
Thierry Magnac France 17 744 0.9× 167 0.6× 208 0.8× 113 0.5× 135 0.8× 52 1.1k
Markus Frölich Germany 20 769 0.9× 639 2.4× 305 1.2× 261 1.1× 148 0.9× 94 1.7k
Salvador Navarro United States 15 738 0.9× 263 1.0× 304 1.2× 118 0.5× 101 0.6× 27 1.4k
Matí­as Busso United States 17 848 1.0× 130 0.5× 291 1.1× 113 0.5× 86 0.5× 51 1.4k
Dean Hyslop New Zealand 13 806 1.0× 78 0.3× 276 1.0× 229 1.0× 344 2.1× 60 1.2k
Garry F. Barrett Australia 20 582 0.7× 115 0.4× 329 1.3× 380 1.7× 158 1.0× 51 1.3k
Erich Battistin United Kingdom 14 401 0.5× 135 0.5× 199 0.8× 127 0.6× 103 0.6× 40 860
Jane Leber Herr United States 6 514 0.6× 86 0.3× 232 0.9× 100 0.4× 146 0.9× 10 1.2k
Roland Rathelot France 16 644 0.8× 62 0.2× 412 1.6× 187 0.8× 98 0.6× 37 1.0k
Judith K. Hellerstein United States 16 1.1k 1.3× 71 0.3× 604 2.3× 233 1.0× 259 1.6× 39 1.6k

Countries citing papers authored by Blaise Melly

Since Specialization
Citations

This map shows the geographic impact of Blaise Melly'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 Blaise Melly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Blaise Melly more than expected).

Fields of papers citing papers by Blaise Melly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Blaise Melly. 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 Blaise Melly. The network helps show where Blaise Melly may publish in the future.

Co-authorship network of co-authors of Blaise Melly

This figure shows the co-authorship network connecting the top 25 collaborators of Blaise Melly. A scholar is included among the top collaborators of Blaise Melly 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 Blaise Melly. Blaise Melly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Fitzenberger, Bernd, Roger Koenker, José A. F. Machado, & Blaise Melly. (2021). Economic applications of quantile regression 2.0. Empirical Economics. 62(1). 1–6. 15 indexed citations
2.
Bargain, Olivier, et al.. (2021). Informal pay gaps in good and bad times: Evidence from Russia. Journal of Comparative Economics. 49(3). 693–714. 6 indexed citations
3.
Chernozhukov, Victor, Iván Fernández‐Val, & Blaise Melly. (2020). QRPROCESS: Stata module for quantile regression: fast algorithm, pointwise and uniform inference. RePEc: Research Papers in Economics. 3 indexed citations
4.
Melly, Blaise & Rafael Lalive. (2020). Estimation, inference, and interpretation in the regression discontinuity design. Bern Open Repository and Information System (University of Bern). 2 indexed citations
5.
Chernozhukov, Victor, Iván Fernández‐Val, & Blaise Melly. (2020). Fast algorithms for the quantile regression process. Empirical Economics. 62(1). 7–33. 18 indexed citations
6.
Chernozhukov, Victor, Iván Fernández‐Val, Blaise Melly, & Kaspar Wüthrich. (2019). Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes. Journal of the American Statistical Association. 115(529). 123–137. 19 indexed citations
7.
Huber, Martin & Blaise Melly. (2015). A Test of the Conditional Independence Assumption in Sample Selection Models. Journal of Applied Econometrics. 30(7). 1144–1168. 41 indexed citations
8.
Frölich, Markus & Blaise Melly. (2013). Unconditional Quantile Treatment Effects Under Endogeneity. Journal of Business and Economic Statistics. 31(3). 346–357. 139 indexed citations
9.
Melly, Blaise & Patrick A. Puhani. (2013). DO PUBLIC OWNERSHIP AND LACK OF COMPETITION MATTER FOR WAGES AND EMPLOYMENT? EVIDENCE FROM PERSONNEL RECORDS OF A PRIVATIZED FIRM. Journal of the European Economic Association. 11(4). 918–944. 12 indexed citations
10.
Huber, Martin & Blaise Melly. (2012). A Test of the Conditional Independence Assumption In Sample Selection Models. SSRN Electronic Journal. 5 indexed citations
11.
Frandsen, Brigham, Markus Frölich, & Blaise Melly. (2012). Quantile treatment effects in the regression discontinuity design. Journal of Econometrics. 168(2). 382–395. 84 indexed citations
12.
Melly, Blaise & Martin Huber. (2011). Nonseparable Sample Selection Models. 5 indexed citations
13.
Lechner, Michael & Blaise Melly. (2010). Partial Identification of Wage Effects of Training Programs. SSRN Electronic Journal. 16 indexed citations
14.
Melly, Blaise, et al.. (2010). Estimation of Quantile Treatment Effects with Stata. The Stata Journal Promoting communications on statistics and Stata. 10(3). 423–457. 121 indexed citations
15.
Frölich, Markus & Blaise Melly. (2008). Quantile treatment effects in the regression discontinuity design. RePEc: Research Papers in Economics. 1 indexed citations
16.
Frölich, Markus & Blaise Melly. (2008). Unconditional Quantile Treatment Effects Under Endogeneity. SSRN Electronic Journal. 19 indexed citations
17.
Melly, Blaise & Martin Huber. (2008). Sample Selection, Heteroscedasticity, and Quantile Regression. 2 indexed citations
18.
Melly, Blaise. (2007). Rqdeco: a Stata module to decompose differences in distribution. Alexandria (UniSG) (University of St.Gallen). 9 indexed citations
19.
Melly, Blaise. (2006). Estimation of counterfactual distributions using quantile regression. Alexandria (UniSG) (University of St.Gallen). 153 indexed citations
20.
Melly, Blaise. (2005). Public-private sector wage differentials in Germany: Evidence from quantile regression. Empirical Economics. 30(2). 505–520. 167 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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