World's Best Scientists 2026 revealed!

D-Index & Metrics

Economics and Finance

D-Index
34
Citations
7023
World Ranking
3052
National Ranking
1677

Mathematics

D-Index
34
Citations
6414
World Ranking
2879
National Ranking
1169

Overview

James B. McDonald is a researcher affiliated with Brigham Young University in the United States. Their work primarily focuses on fields related to economics, econometrics, and finance, with contributions spanning multiple subfields such as statistics and probability, economics and econometrics, finance, management science and operations research, and signal processing.

Their recent publications illustrate involvement in advanced statistical methods and applications. Notable papers include:

  • "A comparison of the GB2 and skewed generalized log-t distributions with an application in finance" (2021, Journal of Econometrics)
  • "Linear Coordinate Systems and Statistical Independence and Vector Spaces and Linear Statistical Models" (2021, Utah State Research and Scholarship, Utah State University)
  • "gintreg: A Generalization of Stata's intreg Command" (2023, SSRN Electronic Journal)
  • "gintreg: Generalized interval regression" (2025, The Stata Journal Promoting communications on statistics and Stata)

Regular co-authors with whom James B. McDonald has collaborated include Jacob Triplett and Joshua D. Higbee. Their research outputs have appeared in a range of publication venues, including the Journal of Econometrics, Utah State Research and Scholarship, SSRN Electronic Journal, and The Stata Journal.

The scientist's research covers several topics, reflecting a multidisciplinary approach. These topics include:

  • Statistical Distribution Estimation and Applications
  • Financial Risk and Volatility Modeling
  • Advanced Statistical Methods and Models
  • Demographic modeling and climate adaptation
  • Spatial and Panel Data Analysis
  • Economics of Agriculture and Food Markets
  • Music and Audio Processing

James B. McDonald's work addresses methodological and applied issues within economics, econometrics, and finance, with attention to both theoretical frameworks and practical applications. The diverse set of subfields and topics points to an interdisciplinary research approach, combining statistical techniques with economic and financial modeling.

Best Publications

  • Some Generalized Functions for the Size Distribution of Income

    James B. McDonald

  • A generalization of the beta distribution with applications

    James B. McDonald;Yexiao J. Xu

  • Some Generalized Functions for the Size Distribution of Income

    Unknown

  • Partially Adaptive Estimation of Regression Models via the Generalized T Distribution

    James B. McDonald;Whitney K. Newey

  • A General Distribution for Describing Security Price Returns

    Richard M. Bookstaber;James B. McDonald

  • A Comparison of Parametric Models of Income Distribution across Countries and over Time

    Ripsy Bandourian;Robert Turley;James McDonald

  • Time Series Prediction With Genetic-Algorithm Designed Neural Networks: An Empirical Comparison With Modern Statistical Models

    James V. Hansen;James B. McDonald;Ray D. Nelson

  • Functional Forms, Estimation Techniques and the Distribution of Income

    James B. McDonald;Michael R. Ransom

  • Identifying Financial Distress in the Insurance Industry: A Synthesis of Methodological and Empirical Issues

    Ran BarNiv;James B. McDonald

  • A Generalized Qualitative-Response Model and the Analysis of Management Fraud

    J. V. Hansen;J. B. McDonald;W. F. Messier;T. B. Bell

  • A Comparison of Parametric Models of Income Distribution across Countries and over Time

    Ripsy Bandourian;Robert Turley;James McDonald

  • Robust and Partially Adaptive Estimation of Regression Models

    Richard J. Butler;James B. McDonald;Ray D. Nelson;Steven B. White

  • 14 Probability distributions for financial models

    James B. McDonald

  • APPLICATIONS OF THE GB2 FAMILY OF DISTRIBUTIONS IN MODELING INSURANCE LOSS PROCESSES

    J.David Cummins;Georges Dionne;James B. McDonald;B.Michael Pritchett

  • A flexible parametric GARCH model with an application to exchange rates

    Kai-Li Wang;Christopher B. Fawson;Christopher B. Barrett;James B. McDonald

  • Some Generalized Mixture Distributions with an Application to Unemployment Duration

    James B. McDonald;Richard J. Butler

  • Something New, Something Old: Parametric Models for the Size of Distribution of Income

    Robert F. Bordley;James B. McDonald;Anand Mantrala

  • Artificial Intelligence and Generalized Qualitative‐Response Models: An Empirical Test on Two Audit Decision‐Making Domains

    James V. Hansen;James B. McDonald;James D. Stice

  • Model selection: some generalized distributions

    James B. McDonald

  • Machine Learning Methods For Detecting Patterns Of Management Fraud

    David G. Whiting;James V. Hansen;James B. McDonald;Conan Albrecht

  • The Generalized Beta Distribution as a Model for the Distribution of Income: Estimation of Related Measures of Inequality

    James B. McDonald;Michael Ransom

  • Using incomplete moments to measure inequality

    Richard J. Butler;James B. McDonald

Frequent Co-Authors

Christian Hansen
Christian Hansen University of Chicago
Catherine J. Morrison Paul
Catherine J. Morrison Paul University of California, Davis
Christopher B. Barrett
Christopher B. Barrett Cornell University
J. David Cummins
J. David Cummins Temple University
Georges Dionne
Georges Dionne HEC Montréal
Eleftherios Mylonakis
Eleftherios Mylonakis Houston Methodist
Thomas F. Crossley
Thomas F. Crossley University of Michigan–Ann Arbor

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