World's Best Scientists 2026 revealed!

D-Index & Metrics

Economics and Finance

D-Index
42
Citations
31525
World Ranking
1989
National Ranking
1153

Jeffrey A. Smith publication distribution in Economics and Finance in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Economics and Finance in 2026. The highlighted bar marks where Jeffrey A. Smith sits on this spectrum.

42–46 publications: 1 scientists 47–51 publications: 12 scientists 52–56 publications: 7 scientists 57–61 publications: 23 scientists 62–66 publications: 32 scientists 67–71 publications: 36 scientists 72–76 publications: 56 scientists 77–81 publications: 57 scientists 82–86 publications: 70 scientists 87–91 publications: 86 scientists 92–96 publications: 72 scientists 97–101 publications: 106 scientists 102–106 publications: 97 scientists 107–111 publications: 96 scientists 112–116 publications: 101 scientists 117–121 publications: 103 scientists 122–126 publications: 102 scientists 127–131 publications: 108 scientists 132–136 publications: 107 scientists 137–141 publications: 111 scientists 142–146 publications: 94 scientists 147–151 publications: 96 scientists 152–156 publications: 100 scientists 157–161 publications: 74 scientists 162–166 publications: 68 scientists 167–171 publications: 91 scientists 172–176 publications: 76 scientists 177–181 publications: 75 scientists 182–186 publications: 61 scientists 187–191 publications: 66 scientists 192–196 publications: 68 scientists 197–201 publications: 71 scientists 202–206 publications: 60 scientists 207–211 publications: 56 scientists 212–216 publications: 44 scientists 217–221 publications: 51 scientists 222–226 publications: 65 scientists 227–231 publications: 48 scientists 232–236 publications: 59 scientists 237–241 publications: 37 scientists 242–246 publications: 37 scientists 247–251 publications: 41 scientists 252–256 publications: 43 scientists 257–261 publications: 33 scientists 262–266 publications: 34 scientists 267–271 publications: 39 scientists 272–276 publications: 25 scientists 277–281 publications: 29 scientists 282–286 publications: 29 scientists 287–291 publications: 26 scientists 292–296 publications: 31 scientists 297–301 publications: 31 scientists 302–306 publications: 24 scientists 307–311 publications: 28 scientists 312–316 publications: 24 scientists 317–321 publications: 13 scientists 322–326 publications: 14 scientists 327–331 publications: 25 scientists 332–336 publications: 18 scientists 337–341 publications: 16 scientists 342–346 publications: 18 scientists 347–351 publications: 15 scientists 352–356 publications: 17 scientists 357–361 publications: 19 scientists 362–366 publications: 16 scientists 367–371 publications: 17 scientists 372–376 publications: 7 scientists 377–381 publications: 18 scientists 382–386 publications: 13 scientists 387–391 publications: 19 scientists 392–396 publications: 9 scientists 397–401 publications: 10 scientists 402–406 publications: 13 scientists 407–411 publications: 13 scientists 412–416 publications: 5 scientists 417–421 publications: 10 scientists 422–426 publications: 6 scientists 427–431 publications: 12 scientists 432–436 publications: 9 scientists 437–441 publications: 9 scientists 442–446 publications: 10 scientists 447–451 publications: 12 scientists 452–456 publications: 8 scientists 457–461 publications: 4 scientists 462–466 publications: 7 scientists 467–471 publications: 4 scientists 472–476 publications: 5 scientists 477–481 publications: 6 scientists 482–486 publications: 7 scientists 487–491 publications: 8 scientists 492–496 publications: 5 scientists 497–501 publications: 4 scientists 502–506 publications: 4 scientists 507–511 publications: 5 scientists 512–516 publications: 7 scientists 517–520 publications: 7 scientists 521+ publications: 99 scientists
42 publications 521+

This scientist: 100 publications — 14th percentile

14% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 521 publications or more.

Jeffrey A. Smith D-index placement in Economics and Finance in 2026

The chart shows the D-index (discipline H-index) distribution of Economics and Finance scientists ranked by Research.com in 2026. The highlighted bar marks where Jeffrey A. Smith sits on this spectrum.

30 D-Index: 126 scientists 31 D-Index: 147 scientists 32 D-Index: 157 scientists 33 D-Index: 178 scientists 34 D-Index: 171 scientists 35 D-Index: 141 scientists 36 D-Index: 132 scientists 37 D-Index: 129 scientists 38 D-Index: 130 scientists 39 D-Index: 120 scientists 40 D-Index: 117 scientists 41 D-Index: 113 scientists 42 D-Index: 114 scientists 43 D-Index: 97 scientists 44 D-Index: 115 scientists 45 D-Index: 86 scientists 46 D-Index: 78 scientists 47 D-Index: 83 scientists 48 D-Index: 62 scientists 49 D-Index: 74 scientists 50 D-Index: 50 scientists 51 D-Index: 66 scientists 52 D-Index: 69 scientists 53 D-Index: 55 scientists 54 D-Index: 67 scientists 55 D-Index: 61 scientists 56 D-Index: 62 scientists 57 D-Index: 45 scientists 58 D-Index: 34 scientists 59 D-Index: 47 scientists 60 D-Index: 46 scientists 61 D-Index: 36 scientists 62 D-Index: 37 scientists 63 D-Index: 56 scientists 64 D-Index: 50 scientists 65 D-Index: 32 scientists 66 D-Index: 28 scientists 67 D-Index: 30 scientists 68 D-Index: 24 scientists 69 D-Index: 25 scientists 70 D-Index: 22 scientists 71 D-Index: 21 scientists 72 D-Index: 26 scientists 73 D-Index: 24 scientists 74 D-Index: 23 scientists 75 D-Index: 12 scientists 76 D-Index: 14 scientists 77 D-Index: 15 scientists 78 D-Index: 15 scientists 79 D-Index: 17 scientists 80 D-Index: 17 scientists 81 D-Index: 11 scientists 82 D-Index: 10 scientists 83 D-Index: 16 scientists 84 D-Index: 11 scientists 85 D-Index: 5 scientists 86 D-Index: 9 scientists 87 D-Index: 13 scientists 88 D-Index: 9 scientists 89 D-Index: 7 scientists 90 D-Index: 6 scientists 91 D-Index: 4 scientists 92 D-Index: 8 scientists 93 D-Index: 10 scientists 94 D-Index: 11 scientists 95 D-Index: 6 scientists 96 D-Index: 4 scientists 97 D-Index: 4 scientists 98 D-Index: 6 scientists 99 D-Index: 6 scientists 100 D-Index: 8 scientists 101+ D-Index: 100 scientists
30 D-Index 101+

This scientist: 42 D-Index — 47th percentile

47% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 101 D-Index or more.

Overview

Jeffrey A. Smith is affiliated with the University of Wisconsin-Madison in the United States. Their research primarily spans the fields of economics, econometrics, and finance, with a focus on labor market dynamics, wage inequality, and advanced causal inference techniques.

Their publication record includes a variety of peer-reviewed articles and papers appearing predominantly in the SSRN Electronic Journal. Other notable venues include The Annals of the American Academy of Political and Social Science, Evaluation Review, The Journal of Human Resources, and Labour Economics.

Key recent papers authored by Jeffrey A. Smith include:

  • Treatment Effect Heterogeneity (2022, Evaluation Review)

Other papers listed alongside their name or relevant to their research area involve topics such as the effectiveness of federally funded job training, tests for selection using instrumental variables, and evaluations of reemployment programs during the Great Recession, though these were authored by collaborators or contemporaries.

Frequent coauthors contributing to or collaborating with Smith include:

  • Dan A. Black
  • Lars Skipper
  • Harry J. Holzer
  • Julia Lane
  • David Rosenblum

Smith's work engages with several subfields, including economics and econometrics, statistics and probability, demography, gender studies, and general health professions. These areas reflect an interdisciplinary approach integrating quantitative methods with social science topics.

Main topics addressed in their research comprise:

  • Labor market dynamics and wage inequality
  • Advanced causal inference techniques
  • Statistical methods and inference
  • Health systems, economic evaluations, quality of life
  • Gender, labor, and family dynamics
  • Retirement, disability, and employment
  • Employment and welfare studies

Overall, Jeffrey A. Smith's scholarly contributions reside at the intersection of econometric methodology and applied labor economics, with research outputs that explore the efficacy of labor programs and the heterogeneity of treatment effects in employment-related policies.

Best Publications

  • Characterizing Selection Bias Using Experimental Data

    James Heckman;Hidehiko Ichimura;Jeffrey Smith;Petra Todd

  • The Economics and Econometrics of Active Labor Market Programs

    James J. Heckman;Robert J. Lalonde;Jeffrey A. Smith

  • Does matching overcome LaLonde's critique of nonexperimental estimators?

    Jeffrey A. Smith;Petra E. Todd

  • Assessing the Case for Social Experiments

    James J. Heckman;Jeffrey A. Smith

  • Making the Most out of Programme Evaluations and Social Experiments: Accounting for Heterogeneity in Programme Impacts

    James J. Heckman;Jeffrey Smith;Nancy Clements

  • How robust is the evidence on the effects of college quality? Evidence from matching

    Dan A. Black;Jeffrey A. Smith;Jeffrey A. Smith

  • The Pre‐programme Earnings Dip and the Determinants of Participation in a Social Programme. Implications for Simple Programme Evaluation Strategies

    James J. Heckman;Jeffrey A. Smith

  • Estimating the Returns to College Quality with Multiple Proxies for Quality

    Dan A. Black;Jeffrey A. Smith

  • Is the Threat of Reemployment Services More Effective than the Services Themselves? Evidence from Random Assignment in the UI System *

    Dan A. Black;Jeffrey A. Smith;Mark C. Berger;Brett J. Noel

  • A Simulation Estimator for Dynamic Models of Discrete Choice

    V. Joseph Hotz;Robert A. Miller;Seth Sanders;Jeffrey Smith

  • Does Matching Overcome Lalonde's Critique of Nonexperimental Estimators?

    Jeffrey A. Smith;Jeffrey A. Smith;Petra Todd;Petra Todd;Petra Todd

  • Reconciling Conflicting Evidence on the Performance of Propensity-Score Matching Methods

    Jeffrey A. Smith;Petra E. Todd

  • The Performance of Performance Standards

    James Joseph Heckman;Carolyn J. Heinrich;Jeffrey A. Smith

  • Social Distance in the United States: Sex, Race, Religion, Age, and Education Homophily among Confidants, 1985 to 2004

    Jeffrey A. Smith;Miller McPherson;Lynn Smith-Lovin

  • The Determinants of Participation in a Social Program: Evidence from a Prototypical Job Training Program

    James Joseph Heckman;Jeffrey A. Smith

  • Network Ecology and Adolescent Social Structure

    Daniel A. McFarland;James Moody;James Moody;David Diehl;Jeffrey A. Smith

  • Equilibrium Policy Experiments and the Evaluation of Social Programs

    Jeremy Lise;Shannon Seitz;Jeffrey Smith

  • A critical survey of empirical methods for evaluating active labor market policies

    Jeffrey A Smith

  • Substitution and Dropout Bias in Social Experiments: A Study of an Influential Social Experiment

    James Heckman;Neil Hohmann;Jeffrey Smith;Michael Khoo

  • Heterogeneous Impacts in PROGRESA

    Habiba Djebbari;Jeffrey A. Smith

  • Sources of selection bias in evaluating social programs: An interpretation of conventional measures and evidence on the effectiveness of matching as a program evaluation method

    James J. Heckman;Hidehiko Ichimura;Jeffrey Smith;Petra Todd

  • Assessing the Performance of Performance Standards in Public Bureaucracies

    James Heckman;Carolyn Heinrich;Jeffrey Smith

Frequent Co-Authors

James J. Heckman
James J. Heckman University of Chicago
Dan A. Black
Dan A. Black University of Chicago
Carolyn J. Heinrich
Carolyn J. Heinrich Vanderbilt University
Petra E. Todd
Petra E. Todd University of Pennsylvania
Harry J. Holzer
Harry J. Holzer Georgetown University
Michael Lechner
Michael Lechner University of St. Gallen
Peter Dolton
Peter Dolton University of Sussex
Christopher Taber
Christopher Taber University of Wisconsin–Madison
Hidehiko Ichimura
Hidehiko Ichimura University of Tokyo
Mark C. Berger
Mark C. Berger University of Kentucky

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