Iván Fernández‐Val

5.2k total citations · 1 hit paper
48 papers, 1.8k citations indexed

About

Iván Fernández‐Val is a scholar working on Economics and Econometrics, Statistics and Probability and General Economics, Econometrics and Finance. According to data from OpenAlex, Iván Fernández‐Val has authored 48 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Economics and Econometrics, 24 papers in Statistics and Probability and 17 papers in General Economics, Econometrics and Finance. Recurrent topics in Iván Fernández‐Val's work include Statistical Methods and Inference (22 papers), Spatial and Panel Data Analysis (16 papers) and Monetary Policy and Economic Impact (14 papers). Iván Fernández‐Val is often cited by papers focused on Statistical Methods and Inference (22 papers), Spatial and Panel Data Analysis (16 papers) and Monetary Policy and Economic Impact (14 papers). Iván Fernández‐Val collaborates with scholars based in United States, Germany and United Kingdom. Iván Fernández‐Val's co-authors include Victor Chernozhukov, Martin Weidner, Joshua D. Angrist, Tetsuya Kaji, Alfred Galichon, Whitney K. Newey, Jinyong Hahn, Blaise Melly, Kevin Lang and Adam B. Ashcraft and has published in prestigious journals such as Journal of the American Statistical Association, Econometrica and Journal of Political Economy.

In The Last Decade

Iván Fernández‐Val

45 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Handbook of Quantile Regression

2017 247 citations Victor Chernozhukov, Iván Fernández‐Val et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Iván Fernández‐Val United States	20	832	609	347	214	169	48	1.8k
Sokbae Lee United Kingdom	22	712 0.9×	835 1.4×	291 0.8×	164 0.8×	161 1.0×	64	1.6k
Susanne M. Schennach United States	18	813 1.0×	523 0.9×	268 0.8×	131 0.6×	533 3.2×	33	2.3k
Michael Jansson United States	18	710 0.9×	466 0.8×	462 1.3×	416 1.9×	148 0.9×	43	1.6k
Stéphane Bonhomme United States	21	1.1k 1.3×	244 0.4×	309 0.9×	176 0.8×	196 1.2×	48	1.5k
Richard K. Crump United States	18	768 0.9×	462 0.8×	342 1.0×	352 1.6×	130 0.8×	57	1.5k
Andrew Chesher United Kingdom	24	1.1k 1.3×	798 1.3×	380 1.1×	230 1.1×	233 1.4×	67	2.2k
Adonis Yatchew Canada	19	831 1.0×	302 0.5×	187 0.5×	186 0.9×	214 1.3×	36	1.7k
Jason Abrevaya United States	22	737 0.9×	505 0.8×	151 0.4×	145 0.7×	307 1.8×	50	1.9k
Azeem M. Shaikh United States	21	539 0.6×	843 1.4×	156 0.4×	115 0.5×	175 1.0×	59	1.6k
Marcelo J. Moreira United States	17	631 0.8×	556 0.9×	539 1.6×	336 1.6×	227 1.3×	25	1.6k

Countries citing papers authored by Iván Fernández‐Val

Since Specialization

Citations

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

Fields of papers citing papers by Iván Fernández‐Val

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iván Fernández‐Val. 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 Iván Fernández‐Val. The network helps show where Iván Fernández‐Val may publish in the future.

Co-authorship network of co-authors of Iván Fernández‐Val

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

All Works

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20 of 20 papers shown

Chernozhukov, Victor, et al.. (2025). Distribution Regression with Sample Selection and UK Wage Decomposition. Journal of Political Economy. 133(12). 3952–3992. 1 indexed citations

Fernández‐Val, Iván, et al.. (2025). Conditional Rank-Rank Regression. SSRN Electronic Journal.

Fernández‐Val, Iván, Franco Peracchi, Aico van Vuuren, & Francis Vella. (2024). Hours Worked and the U.S. Distribution of Real Annual Earnings 1976-2016. SSRN Electronic Journal.

Chen, Xi, et al.. (2021). Shape-Enforcing Operators for Generic Point and Interval Estimators of Functions. Journal of Machine Learning Research. 22(220). 1–42. 1 indexed citations

Fernández‐Val, Iván, et al.. (2021). Low-rank approximations of nonseparable panel models. Oxford University Research Archive (ORA) (University of Oxford). 3 indexed citations

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

Fernández‐Val, Iván, et al.. (2020). Nonlinear factor models for network and panel data. Journal of Econometrics. 220(2). 296–324. 36 indexed citations

Chernozhukov, Victor, Iván Fernández‐Val, & Blaise Melly. (2020). Fast algorithms for the quantile regression process. Empirical Economics. 62(1). 7–33. 18 indexed citations

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

10.

Fernández‐Val, Iván & Martin Weidner. (2018). Fixed Effects Estimation of Large-TPanel Data Models. Annual Review of Economics. 10(1). 109–138. 39 indexed citations

11.

Belloni, Alexandre, Victor Chernozhukov, Iván Fernández‐Val, & Christian Hansen. (2017). Supplement to “program evaluation and causal inference with high-dimensional data". OpenBU/Boston University Institutional Repository (Boston University). 1 indexed citations

12.

Fernández‐Val, Iván, et al.. (2016). Evaluating the role of income, state dependence and individual specific heterogeneity in the determination of subjective health assessments. Economics & Human Biology. 25. 85–98. 1 indexed citations

13.

Belloni, Alexandre, et al.. (2016). quantreg.nonpar: An R Package for Performing Nonparametric Series Quantile Regression. The R Journal. 8(2). 370–370. 5 indexed citations

14.

Fernández‐Val, Iván, et al.. (2014). Panel data models with nonadditive unobserved heterogeneity : estimation and inference. DSpace@MIT (Massachusetts Institute of Technology). 23 indexed citations

15.

Fernández‐Val, Iván, Jinyong Hahn, Victor Chernozhukov, & Whitney K. Newey. (2013). Average and Quantile Effects in Nonseparable Panel Models. DSpace@MIT (Massachusetts Institute of Technology). 128 indexed citations

16.

Belloni, Alexandre, Victor Chernozhukov, & Iván Fernández‐Val. (2011). Conditional Quantile Processes Based on Series or Many Regressors. SSRN Electronic Journal. 30 indexed citations

17.

Angrist, Joshua D. & Iván Fernández‐Val. (2010). ExtrapoLATE-ing: External Validity and Overidentification in the LATE Framework. National Bureau of Economic Research. 6 indexed citations

18.

Fernández‐Val, Iván & Victor Chernozhukov. (2010). Inference for Extremal Conditional Quantile Models, with an Application to Market and Birthweight Risks. DSpace@MIT (Massachusetts Institute of Technology). 37 indexed citations

19.

Fernández‐Val, Iván. (2009). Fixed effects estimation of structural parameters and marginal effects in panel probit models. Journal of Econometrics. 150(1). 71–85. 165 indexed citations

20.

Angrist, Joshua D., Victor Chernozhukov, & Iván Fernández‐Val. (2004). Quantile Regression under Misspecification, with an Application to the U.S. Wage Structure. SSRN Electronic Journal. 38 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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