World's Best Scientists 2026 revealed!

D-Index & Metrics

Economics and Finance

D-Index
55
Citations
20154
World Ranking
1041
National Ranking
647

Mathematics

D-Index
60
Citations
23790
World Ranking
540
National Ranking
277

Research.com Recognitions

  • 1983 - Fellow of the American Statistical Association (ASA)

Overview

A. Ronald Gallant is affiliated with Pennsylvania State University in the United States and has a research focus within the field of Economics, Econometrics, and Finance. Their work spans multiple subfields including Finance, Economics and Econometrics, Statistics and Probability, Electrical and Electronic Engineering, and General Economics, Econometrics and Finance.

The scientist's work covers several main topics, notably Statistical Methods and Inference, Financial Risk and Volatility Modeling, Stochastic Processes and Financial Applications, Monetary Policy and Economic Impact, Economic Theories and Models, Financial Markets and Investment Strategies, as well as Bayesian Methods and Mixture Models.

Gallant has published research in a variety of academic venues, with frequent appearances in the Journal of Econometrics, UNC Libraries, Batteries, Journal of Applied Econometrics, and the Journal of Risk and Financial Management.

  • Journal of Econometrics
  • UNC Libraries
  • Batteries
  • Journal of Applied Econometrics
  • Journal of Risk and Financial Management

Recent papers authored or co-authored by Gallant include:

  • Complementary Bayesian method of moments strategies, 2020, Journal of Applied Econometrics
  • Constrained estimation using penalization and MCMC, 2021, Journal of Econometrics
  • Nonparametric Bayes subject to overidentified moment conditions, 2021, Journal of Econometrics

Other relevant papers connected to the research environment, including coauthor contributions, are:

  • Solid-State Lithium Batteries: Advances, Challenges, and Future Perspectives, 2025, Batteries
  • Purebred or hybrid?: Reproducing the volatility in term structure dynamics, 2021, UNC Libraries

Frequent coauthors of Gallant include George Tauchen, Subin Antony Jose, Pedro Lechuga Gomez, Zacary Jaggers, and Erik Johansson.

  • George Tauchen
  • Subin Antony Jose
  • Pedro Lechuga Gomez
  • Zacary Jaggers
  • Erik Johansson

A. Ronald Gallant was recognized as a Fellow of the American Statistical Association (ASA) in 1983.

Best Publications

  • Nonlinear Statistical Models

    A Ronald Gallant

  • Stock Prices and Volume

    A. Ronald Gallant;Peter E. Rossi;George Tauchen

  • WHICH MOMENTS TO MATCH

    A. Ronald Gallant;George Tauchen

  • On the bias in flexible functional forms and an essentially unbiased form: The fourier flexible form☆

    A.Ronald Gallant

  • Semi-nonparametric maximum likelihood estimation

    A. Ronald Gallant;Douglas W. Nychka

  • Alternative models for stock price dynamics

    Mikhail Chernov;A. Ronald Gallant;Eric Ghysels;George Tauchen

  • A Unified Theory of Estimation and Inference for Nonlinear Dynamic Models

    A. Ronald Gallant;Halbert White

  • Quadratic Term Structure Models: Theory and Evidence

    Dong Hyun Ahn;Robert F. Dittmar;A. Ronald Gallant

  • "Seminonparametric Estimation of Conditionally Constrained Heterogeneous Processes: Asset Pricing Applications"

    A Ronald Gallant;George Tauchen

  • Nonlinear dynamic structures

    A. Ronald Gallant;Peter E. Rossi;George Tauchen

  • Numerical Techniques for Maximum Likelihood Estimation of Continuous-Time Diffusion Processes

    Garland B. Durham;A. Ronald Gallant

  • Statistical inference for a system of simultaneous, non-linear, implicit equations in the context of instrumental variable estimation

    A.Ronald Gallant;Dale W. Jorgenson

  • Estimation of stochastic volatility models with diagnostics

    A.Ronald Gallant;David Hsieh;George Tauchen

  • Finding chaos in noisy systems

    Douglas Nychka;Stephen Ellner;A. Ronald Gallant;Daniel McCaffrey

  • Unbiased determination of production technologies

    A.Ronald Gallant

  • Original Contribution: On learning the derivatives of an unknown mapping with multilayer feedforward networks

    A. Ronald Gallant;Halbert White

  • Fitting Segmented Polynomial Regression Models Whose Join Points Have to Be Estimated

    A. R. Gallant;Wayne A. Fuller

  • A single-blind controlled competition among tests for nonlinearity and chaos

    William A. Barnett;A.Ronald Gallant;Melvin J. Hinich;Jochen A. Jungeilges

  • The nonlinear mixed effects model with a smooth random effects density

    Marie Davidian;A. Ronald Gallant

  • USING DAILY RANGE DATA TO CALIBRATE VOLATILITY DIFFUSIONS AND EXTRACT THE FORWARD INTEGRATED VARIANCE

    A. Ronald Gallant;Chien-Te Hsu;George Tauchen

  • Seemingly unrelated nonlinear regressions

    A.Ronald Gallant

Frequent Co-Authors

George Tauchen
George Tauchen Duke University
Douglas Nychka
Douglas Nychka Colorado School of Mines
Eric Ghysels
Eric Ghysels University of North Carolina at Chapel Hill
Mikhail Chernov
Mikhail Chernov University of California, Los Angeles
Daniel F. McCaffrey
Daniel F. McCaffrey Educational Testing Service
William A. Barnett
William A. Barnett University of Kansas
Halbert White
Halbert White University of California, San Diego
Marie Davidian
Marie Davidian North Carolina State University
Jesús Fernández-Villaverde
Jesús Fernández-Villaverde University of Pennsylvania

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