Marcelo J. Moreira

2.9k total citations · 2 hit papers
25 papers, 1.6k citations indexed

About

Marcelo J. Moreira is a scholar working on Statistics and Probability, General Economics, Econometrics and Finance and Economics and Econometrics. According to data from OpenAlex, Marcelo J. Moreira has authored 25 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistics and Probability, 7 papers in General Economics, Econometrics and Finance and 7 papers in Economics and Econometrics. Recurrent topics in Marcelo J. Moreira's work include Statistical Methods and Inference (13 papers), Monetary Policy and Economic Impact (7 papers) and Statistical Methods and Bayesian Inference (6 papers). Marcelo J. Moreira is often cited by papers focused on Statistical Methods and Inference (13 papers), Monetary Policy and Economic Impact (7 papers) and Statistical Methods and Bayesian Inference (6 papers). Marcelo J. Moreira collaborates with scholars based in United States, Brazil and Belgium. Marcelo J. Moreira's co-authors include James H. Stock, Donald W. K. Andrews, Michael Jansson, Justin McCrary, Alexei Onatski, Marc Hallin, Jack Porter, David S. Lee, Brian P. Poi and Jack R. Porter and has published in prestigious journals such as American Economic Review, Econometrica and Journal of Econometrics.

In The Last Decade

Marcelo J. Moreira

25 papers receiving 1.5k citations

Hit Papers

A Conditional Likelihood Ratio Test for Structural Models 2003 2026 2010 2018 2003 2022 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcelo J. Moreira United States 17 631 556 539 336 227 25 1.6k
Michael Jansson United States 18 710 1.1× 466 0.8× 462 0.9× 416 1.2× 148 0.7× 43 1.6k
Iván Fernández‐Val United States 20 832 1.3× 609 1.1× 347 0.6× 214 0.6× 169 0.7× 48 1.8k
Isaiah Andrews United States 14 539 0.9× 227 0.4× 277 0.5× 193 0.6× 187 0.8× 27 1.2k
Andrew Chesher United Kingdom 24 1.1k 1.7× 798 1.4× 380 0.7× 230 0.7× 233 1.0× 67 2.2k
Richard K. Crump United States 18 768 1.2× 462 0.8× 342 0.6× 352 1.0× 130 0.6× 57 1.5k
Sokbae Lee United Kingdom 22 712 1.1× 835 1.5× 291 0.5× 164 0.5× 161 0.7× 64 1.6k
Guido M. Kuersteiner United States 16 949 1.5× 259 0.5× 534 1.0× 283 0.8× 115 0.5× 31 1.4k
Jason Abrevaya United States 22 737 1.2× 505 0.9× 151 0.3× 145 0.4× 307 1.4× 50 1.9k
Susanne M. Schennach United States 18 813 1.3× 523 0.9× 268 0.5× 131 0.4× 533 2.3× 33 2.3k
Ivan A. Canay United States 12 790 1.3× 389 0.7× 220 0.4× 104 0.3× 113 0.5× 27 1.4k

Countries citing papers authored by Marcelo J. Moreira

Since Specialization
Citations

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

Fields of papers citing papers by Marcelo J. Moreira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcelo J. Moreira. 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 Marcelo J. Moreira. The network helps show where Marcelo J. Moreira may publish in the future.

Co-authorship network of co-authors of Marcelo J. Moreira

This figure shows the co-authorship network connecting the top 25 collaborators of Marcelo J. Moreira. A scholar is included among the top collaborators of Marcelo J. Moreira 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 Marcelo J. Moreira. Marcelo J. Moreira 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.
Lee, David, et al.. (2023). What to Do When You Can't Use '1.96' Confidence Intervals for IV. SSRN Electronic Journal. 1 indexed citations
2.
Lee, David S., Justin McCrary, Marcelo J. Moreira, & Jack Porter. (2022). Valid t-ratio Inference for IV. American Economic Review. 112(10). 3260–3290. 129 indexed citations breakdown →
3.
Lee, David, Justin McCrary, Marcelo J. Moreira, & Jack R. Porter. (2020). Valid t-ratio Inference for IV. arXiv (Cornell University). 1 indexed citations
4.
Moreira, Marcelo J., et al.. (2020). Impossible inference in econometrics: Theory and applications. Journal of Econometrics. 218(2). 247–270. 9 indexed citations
5.
Ridder, Geert & Marcelo J. Moreira. (2019). Efficiency Loss of Asymptotically Efficient Tests in an Instrumental Variables Regression. SSRN Electronic Journal. 1 indexed citations
6.
Mills, Ben, et al.. (2014). Tests based on t-statistics for IV regression with weak instruments. Journal of Econometrics. 182(2). 351–363. 10 indexed citations
7.
Onatski, Alexei, Marcelo J. Moreira, & Marc Hallin. (2013). Asymptotic power of sphericity tests for high-dimensional data. The Annals of Statistics. 41(3). 71 indexed citations
8.
Lima, Luiz Renato, Marcelo J. Moreira, Jack Porter, & Zhijie Xiao. (2009). Nonparametric and robust methods in econometrics. Journal of Econometrics. 152(2). 79–80. 1 indexed citations
9.
Moreira, Marcelo J.. (2009). A maximum likelihood method for the incidental parameter problem. The Annals of Statistics. 37(6A). 21 indexed citations
10.
Andrews, Donald W. K., Marcelo J. Moreira, & James H. Stock. (2008). Efficient two-sided nonsimilar invariant tests in IV regression with weak instruments. Journal of Econometrics. 146(2). 241–254. 37 indexed citations
11.
Andrews, Donald W. K., Marcelo J. Moreira, & James H. Stock. (2006). Optimal Two-Sided Invariant Similar Tests for Instrumental Variables Regression. Econometrica. 74(3). 715–752. 211 indexed citations
12.
Andrews, Donald W. K., Marcelo J. Moreira, & James H. Stock. (2006). Performance of conditional Wald tests in IV regression with weak instruments. Journal of Econometrics. 139(1). 116–132. 59 indexed citations
13.
Jansson, Michael & Marcelo J. Moreira. (2006). Optimal Inference in Regression Models with Nearly Integrated Regressors. Econometrica. 74(3). 681–714. 140 indexed citations
14.
Moreira, Marcelo J., et al.. (2005). On the Validity of Econometric Techniques with Weak Instruments. The Journal of Human Resources. XL(2). 393–410. 56 indexed citations
15.
Jansson, Michael & Marcelo J. Moreira. (2004). Optimal Inference in Regression Models with Nearly Integrated Regressors. SSRN Electronic Journal. 36 indexed citations
16.
Moreira, Marcelo J., Jack R. Porter, & Gustavo Suárez. (2004). Bootstrap and Higher-Order Expansion Validity When Instruments May Be Weak. SSRN Electronic Journal. 10 indexed citations
17.
Moreira, Marcelo J.. (2003). A Conditional Likelihood Ratio Test for Structural Models. Econometrica. 71(4). 1027–1048. 535 indexed citations breakdown →
18.
Moreira, Marcelo J. & Brian P. Poi. (2003). Implementing Tests with Correct Size in the Simultaneous Equations Model. The Stata Journal Promoting communications on statistics and Stata. 3(1). 57–70. 29 indexed citations
19.
Moreira, Marcelo J. & Brian P. Poi. (2003). Implementing Tests with Correct Size in the Simultaneous Equation Model. SSRN Electronic Journal. 21 indexed citations
20.
Moreira, Marcelo J.. (2003). A General Theory of Hypothesis Testing in The Simultaneous Equations Model. SSRN Electronic Journal. 4 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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