Giovanni Mellace

402 total citations
17 papers, 194 citations indexed

About

Giovanni Mellace is a scholar working on Statistics and Probability, Economics and Econometrics and Safety Research. According to data from OpenAlex, Giovanni Mellace has authored 17 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistics and Probability, 7 papers in Economics and Econometrics and 3 papers in Safety Research. Recurrent topics in Giovanni Mellace's work include Advanced Causal Inference Techniques (9 papers), Statistical Methods and Inference (5 papers) and Statistical Methods and Bayesian Inference (4 papers). Giovanni Mellace is often cited by papers focused on Advanced Causal Inference Techniques (9 papers), Statistical Methods and Inference (5 papers) and Statistical Methods and Bayesian Inference (4 papers). Giovanni Mellace collaborates with scholars based in Denmark, Switzerland and Italy. Giovanni Mellace's co-authors include Martin Huber, Michael Lechner, Lukáš Lafférs, Zsolt Sándor, R. Di Stefano, Marco Ventura, Christian M. Dahl and Kim Rose Olsen and has published in prestigious journals such as Scientific Reports, The Review of Economics and Statistics and Journal of Business and Economic Statistics.

In The Last Decade

Giovanni Mellace

14 papers receiving 189 citations

Peers

Giovanni Mellace
Mikkel Sølvsten United States
Martha Stinson United States
Marie Paul Germany
Seán Muller South Africa
Christopher Walters United States
Yuri Soares United States
Giovanni Mellace
Citations per year, relative to Giovanni Mellace Giovanni Mellace (= 1×) peers Muriel Dejemeppe

Countries citing papers authored by Giovanni Mellace

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Mellace

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Mellace

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

All Works

17 of 17 papers shown
1.
Mellace, Giovanni & Marco Ventura. (2023). The short-run effects of public incentives for innovation in Italy. Economic Modelling. 120. 106178–106178. 2 indexed citations
2.
Mellace, Giovanni, et al.. (2023). Mediation Analysis Synthetic Control. SSRN Electronic Journal.
3.
Mellace, Giovanni, et al.. (2023). The unseen toll: excess mortality during covid-19 lockdowns. Scientific Reports. 13(1). 18745–18745.
4.
Dahl, Christian M., Martin Huber, & Giovanni Mellace. (2023). It is never too LATE: a new look at local average treatment effects with or without defiers. Econometrics Journal. 26(3). 378–404.
5.
Lafférs, Lukáš & Giovanni Mellace. (2020). Identification of the Average Treatment Effect When SUTVA Is Violated. SSRN Electronic Journal. 5 indexed citations
6.
7.
Mellace, Giovanni, et al.. (2020). INFERENCE IN INSTRUMENTAL VARIABLE MODELS WITH HETEROSKEDASTICITY AND MANY INSTRUMENTS. Econometric Theory. 37(2). 281–310. 9 indexed citations
8.
Stefano, R. Di & Giovanni Mellace. (2020). The Inclusive Synthetic Control Method. SSRN Electronic Journal. 5 indexed citations
9.
Mellace, Giovanni, et al.. (2019). Identify More, Observe Less: Mediation Analysis Synthetic Control. SSRN Electronic Journal. 1 indexed citations
10.
Dahl, Christian M., Martin Huber, & Giovanni Mellace. (2017). It's Never Too LATE: A New Look at Local Average Treatment Effects with or Without Defiers. SSRN Electronic Journal. 4 indexed citations
11.
Lafférs, Lukáš & Giovanni Mellace. (2016). A note on testing instrument validity for the identification of LATE. Empirical Economics. 53(3). 1281–1286. 1 indexed citations
12.
Huber, Martin, Michael Lechner, & Giovanni Mellace. (2016). Why Do Tougher Caseworkers Increase Employment? The Role of Program Assignment as a Causal Mechanism. The Review of Economics and Statistics. 99(1). 180–183. 22 indexed citations
13.
Huber, Martin, Michael Lechner, & Giovanni Mellace. (2015). The Finite Sample Performance of Estimators for Mediation Analysis Under Sequential Conditional Independence. Journal of Business and Economic Statistics. 34(1). 139–160. 16 indexed citations
14.
Huber, Martin, Lukáš Lafférs, & Giovanni Mellace. (2015). Sharp IV Bounds on Average Treatment Effects on the Treated and Other Populations Under Endogeneity and Noncompliance. Journal of Applied Econometrics. 32(1). 56–79. 13 indexed citations
15.
Huber, Martin & Giovanni Mellace. (2014). Testing Instrument Validity for LATE Identification Based on Inequality Moment Constraints. The Review of Economics and Statistics. 97(2). 398–411. 65 indexed citations
16.
Huber, Martin & Giovanni Mellace. (2013). Sharp Bounds on Causal Effects under Sample Selection. Oxford Bulletin of Economics and Statistics. 77(1). 129–151. 12 indexed citations
17.
Huber, Martin & Giovanni Mellace. (2013). Testing exclusion restrictions and additive separability in sample selection models. Empirical Economics. 47(1). 75–92. 35 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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