World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
40
Citations
12567
World Ranking
1985
National Ranking
839

Jinyong Hahn publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Jinyong Hahn sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 98 publications — 10th percentile

10% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Jinyong Hahn D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Jinyong Hahn sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 40 D-Index — 45th percentile

45% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Overview

Jinyong Hahn is affiliated with the University of California, Los Angeles in the United States. Their research primarily spans the fields of economics, econometrics, and finance, with significant contributions also made in mathematics.

The scholar's work encompasses various subfields, including economics and econometrics, statistics and probability, general economics, econometrics and finance, finance, and education.

If focusing on main research topics, these include:

  • Monetary Policy and Economic Impact
  • Spatial and Panel Data Analysis
  • Statistical Methods and Inference
  • Advanced Causal Inference Techniques
  • Economic and Environmental Valuation
  • Global Trade and Economics
  • Financial Risk and Volatility Modeling

Jinyong Hahn has published extensively in recognized academic venues. Frequent publication sites include:

  • arXiv (Cornell University)
  • Econometric Theory
  • SSRN Electronic Journal
  • Economics Letters
  • Journal of Econometrics

Among recent papers, selected works are:

  • Bootstrap Standard Error Estimates and Inference, 2021, Econometrica
  • Efficient Bias Correction for Cross-Section and Panel Data, 2024, Quantitative Economics
  • Specification Test on Mixed Logit Models, 2020, Journal of Econometrics
  • A Small Sigma Approach to Certain Problems in Errors-in-Variables Models, 2021, Economics Letters
  • Central Limit Theory for Combined Cross Section and Time Series with an Application to Aggregate Productivity Shocks, 2022, Econometric Theory

The research collaborations of Jinyong Hahn include frequent coauthors such as:

  • Zhipeng Liao
  • Geert Ridder
  • Guido M. Kuersteiner
  • Shuyang Sheng
  • Jerry A. Hausman

Best Publications

  • IDENTIFICATION AND ESTIMATION OF TREATMENT EFFECTS WITH A REGRESSION-DISCONTINUITY DESIGN

    Jinyong Hahn;Petra Todd;Wilbert Van der Klaauw

  • On the role of the propensity score in efficient semiparametric estimation of average treatment effects

    Jinyong Hahn

  • Asymptotically Unbiased Inference for a Dynamic Panel Model with Fixed Effects When Both n and T are Large

    Jinyong Hahn;Guido M. Kuersteiner

  • JACKKNIFE AND ANALYTICAL BIAS REDUCTION FOR NONLINEAR PANEL MODELS

    Jinyong Hahn;Whitney K. Newey

  • A New Specification Test for the Validity of Instrumental Variables

    Jinyong Hahn;Jerry A. Hausman

  • Multivariate Density Forecast Evaluation and Calibration In Financial Risk Management: High-Frequency Returns on Foreign Exchange

    Francis X. Diebold;Jinyong Hahn;Anthony S. Tay

  • Estimation with weak instruments: Accuracy of higher‐order bias and MSE approximations

    Jinyong Hahn;Jerry Hausman;Guido Kuersteiner

  • Testing and comparing Value-at-Risk measures

    Peter Christoffersen;Jinyong Hahn;Atsushi Inoue

  • Weak Instruments: Diagnosis and Cures in Empirical Econometrics

    Jinyong Hahn;Jerry Hausman

  • Average and quantile effects in nonseparable panel models

    Victor Chernozhukov;Ivan Fernandez-Val;Jinyong Hahn;Whitney K. Newey

  • Bootstrapping Quantile Regression Estimators

    Jinyong Hahn

  • An alternative estimator for the censored quantile regression model

    Moshe Buchinsky;Jinyong Hahn

  • UNDERSTANDING BIAS IN NONLINEAR PANEL MODELS: SOME RECENT DEVELOPMENTS

    Manuel Arellano;Jinyong Hahn

  • BIAS REDUCTION FOR DYNAMIC NONLINEAR PANEL MODELS WITH FIXED EFFECTS

    Jinyong Hahn;Guido Kuersteiner

  • Long difference instrumental variables estimation for dynamic panel models with fixed effects

    Jinyong Hahn;Jerry Hausman;Guido Kuersteiner

  • When to Control for Covariates? Panel Asymptotics for Estimates of Treatment Effects

    Joshua D Angrist;Jinyong Hahn

  • Evaluating the Effect of an Antidiscrimination Law Using a Regression-Discontinuity Design

    Jinyong Hahn;Petra Todd;Wilbert Van der Klaauw

  • Notes on bias in estimators for simultaneous equation models

    Jinyong Hahn;Jerry Hausman;Jerry Hausman

  • Identification and estimation of the linear-in-means model of social interactions

    Bryan S. Graham;Jinyong Hahn

  • A Practical Asymptotic Variance Estimator for Two-Step Semiparametric Estimators

    Daniel Ackerberg;Xiaohong Chen;Jinyong Hahn

  • The Hausman Test and Weak Instruments

    Jinyong Hahn;John C. Ham;Hyungsik Roger Moon

Frequent Co-Authors

Geert Ridder
Geert Ridder University of Southern California
Peter Christoffersen
Peter Christoffersen University of Toronto
James L. Powell
James L. Powell University of California, Berkeley
Petra E. Todd
Petra E. Todd University of Pennsylvania
Wilbert Van der Klaauw
Wilbert Van der Klaauw Federal Reserve Bank of New York
Francis X. Diebold
Francis X. Diebold University of Pennsylvania
Manuel Arellano
Manuel Arellano Centro de Estudios Monetarios y Financieros
John C. Ham
John C. Ham New York University Abu Dhabi

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students interested in mathematics who want to expand their career options, several related online degrees offer valuable skills and credentials. A masters in data analytics is a natural extension for math graduates, focusing on interpreting large data sets to inform business decisions across industries.

For those considering leadership roles or business management, pursuing an easy mba programs to get into can provide essential business acumen with a manageable application process. Furthermore, students seeking flexibility and a fast track to an advanced business degree might consider the easiest and fastest online mba programs, which allow study alongside professional commitments.

For those aiming for senior executive roles, especially in academia or specialized business sectors, exploring the dba programs online can provide critical research and leadership training tailored to experienced professionals.

These pathways leverage the analytical and problem-solving skills honed in mathematics studies, opening doors to diverse and rewarding careers in data, business, and executive leadership.

Best Scientists Citing Jinyong Hahn

Trending Scientists

Recently Published Articles