World's Best Scientists 2026 revealed!

D-Index & Metrics

Economics and Finance

D-Index
30
Citations
7700
World Ranking
3661
National Ranking
1938

Richard Startz 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 Richard Startz 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: 141 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Richard Startz 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 Richard Startz 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: 30 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Overview

Richard Startz is affiliated with the University of California, Santa Barbara in the United States. Their research spans various areas within economics, econometrics, and finance, with significant contributions to both theoretical and applied topics.

The primary fields of study of their work include:

  • Economics, Econometrics and Finance
  • Mathematics

Their research is further specialized in subfields such as:

  • Economics and Econometrics
  • Statistics and Probability
  • General Economics, Econometrics and Finance
  • Finance
  • Education

The main topics covered by their publications encompass:

  • Monetary Policy and Economic Impact
  • Statistical Methods and Inference
  • Market Dynamics and Volatility
  • Global Financial Crisis and Policies
  • Statistical Methods and Bayesian Inference
  • Advanced Statistical Methods and Models
  • Economic Growth and Productivity

Among their recent publications are:

  • "Inference and extrapolation in finite populations with special attention to clustering" (2023), published in Econometric Reviews
  • "Recessions, Recoveries, and Leverage" (2023), published in SSRN Electronic Journal
  • "Covid, colleges, and classes" (2022), published in Applied Economics
  • "Are Recoveries all the Same: GDP and TFP?" (2021), published in Oxford Bulletin of Economics and Statistics
  • "Covid, Colleges, and Classes" (2021), published in SSRN Electronic Journal

The frequent co-authors with whom Richard Startz has collaborated include:

  • Sui Luo
  • Douglas G. Steigerwald
  • Yu-Fan Huang
  • Danny Klinenberg
  • Arabinda Basistha

The most common publication venues for their work are:

  • SSRN Electronic Journal
  • Oxford Bulletin of Economics and Statistics
  • Applied Economics
  • Econometric Reviews
  • Journal of Money Credit and Banking

Best Publications

  • SOME FURTHER RESULTS ON THE EXACT SMALL SAMPLE PROPERTIES OF THE INSTRUMENTAL VARIABLE ESTIMATOR

    Charles R. Nelson;Richard Startz

  • A Markov model of heteroskedasticity, risk, and learning in the stock market☆

    Christopher M. Turner;Richard Startz;Charles R. Nelson

  • Less than 2 °C warming by 2100 unlikely

    Adrian E. Raftery;Alec Zimmer;Dargan M. W. Frierson;Richard Startz

  • Mean reversion in stock prices? a reappraisal of the empirical evidence

    Myung Jig Kim;Charles R. Nelson;Richard Startz

  • The Distribution of the Instrumental Variables Estimator and Its t-RatioWhen the Instrument is a Poor One

    Charles R. Nelson;Richard Startz

  • Some Further Results on the Exact Small Sample Properties of the Instrumental Variable Estimator

    Charles R. Nelson;Richard Startz

  • Some Furthere Results On The Exact Small Sample Properties Of The Instrumental Variable Estimator

    Charles R. Nelson;Richard Startz

  • Private Discrimination and Social Intervention in Competitive Labor Markets

    Shelly J. Lundberg;Richard Startz

  • Estimation of Markov regime-switching regression models with endogenous switching

    Chang-Jin Kim;Jeremy M. Piger;Richard Startz

  • Estimation of Markov regime-switching regression models with endogenous switching

    Chang-Jin Kim;Chang-Jin Kim;Jeremy M. Piger;Richard Startz

  • The retirement-consumption puzzle: a marital bargaining approach

    Shelly Lundberg;Richard Startz;Steven Stillman

  • Monopolistic Competition as a Foundation for Keynesian Macroeconomic Models

    Richard Startz

  • Valid Confidence Intervals and Inference in the Presence of Weak Instruments

    Charles R. Nelson;Richard Startz;Eric Zivot

  • Testing for mean reversion in heteroskedastic data based on Gibbs-sampling-augmented randomization

    Chang Jin Kim;Charles R. Nelson;Richard Startz

  • Maximum-Likelihood Estimation of Fractional Cointegration with an Application to U.S. and Canadian Bond Rates

    Michael J. Dueker;Richard Startz

  • On the Persistence of Racial Inequality

    Shelly Lundberg;Richard Startz

  • A market-based framework for quantifying displaced production from recycling or reuse

    Trevor Zink;Roland Geyer;Richard Startz

  • Implicit interest on demand deposits

    Richard Startz

  • Measuring the NAIRU with Reduced Uncertainty: A Multiple-Indicator Common-Cycle Approach

    Arabinda Basistha;Richard Startz

  • Do forecast errors or term premia really make the difference between long and short rates

    Richard Startz

  • A Markov Model of Heteroskedasticity, Risk, and Learning in the Stock Market

    Christopher M. Turner;Richard Startz;Charles R. Nelson

  • The Markov Model Of Heteroskedasticity, Risk And Learning In The Stock Market

    Christopher M. Turner;Richard Startz;Charles Nelson

  • The Distribution of the Instrumental Variables Estimator and its T-Ratiowhen the Instrument is a Poor One

    Charles R. Nelson;Richard Startz

  • Mean Reversion in Stock Prices? a Reappraisal of the Empirical Evidence

    Myung Jig Kim;Myung Jig Kim;Charles R. Nelson;Richard Startz

  • Valid Confidence Intervals and Inference in the Presence of Weak Instruments

    Charles Nelson;Richard Startz;Eric Zivot

Frequent Co-Authors

Charles R. Nelson
Charles R. Nelson University of Washington
Shelly J. Lundberg
Shelly J. Lundberg University of California, Santa Barbara
Chang-Jin Kim
Chang-Jin Kim University of Washington
Jeremy M. Piger
Jeremy M. Piger University of Oregon
Timothy Cogley
Timothy Cogley New York University
L. Randall Wray
L. Randall Wray Levy Economics Institute of Bard College
Dan Goldhaber
Dan Goldhaber University of Washington
Steven Stillman
Steven Stillman Free University of Bozen-Bolzano
Bryan D. Jones
Bryan D. Jones The University of Texas at Austin

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