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Economics and Finance

D-Index
39
Citations
31109
World Ranking
2335
National Ranking
1321

Overview

George G. Judge is affiliated with the University of California, Berkeley in the United States. Their research spans several interrelated fields, focusing primarily on mathematics and economics, econometrics, and finance. They have contributed to subfields including statistics and probability, economics and econometrics, finance, artificial intelligence, and political science and international relations.

The main topics covered in their work encompass statistical methods and inference, game theory and voting systems, statistical distribution estimation and applications, financial risk and volatility modeling, advanced statistical methods and models, internet traffic analysis and secure e-voting, as well as electoral systems and political participation.

Recent publications by George G. Judge include:

  • Recovering Vote Choice from Partial Incomplete Data, 2021, Journal of Data Science
  • Recovering Vote Choice from Partial Incomplete Data, 2021, Journal of Data Science
  • An Entropy-Based Approach for Nonparametrically Testing Simple Probability Distribution Hypotheses, 2022, Econometrics

Frequent collaborators in their research include Wendy K. Tam Cho, Ron C. Mittelhammer, and Miguel Henry.

Their work has been published mainly in the following venues:

  • Journal of Data Science
  • Econometrics

Best Publications

  • Introduction to the Theory and Practice of Econometrics

    George G. Judge

  • The Theory and Practice of Econometrics

    George G. Judge

  • Learning and Practicing Econometrics

    William E. Griffiths;R. Carter Hill;George G. Judge

  • Maximum entropy econometrics: robust estimation with limited data

    Amos Golan;George Garrett Judge;Douglas Miller

  • The Theory and Practice of Econometrics (2nd ed.).

    Terry G. Seaks;George G. Judge;W. E. Griffiths;R. Carter Hill

  • Econometric foundations

    Ron C. Mittelhammer;George G. Judge;Douglas J. Miller

  • RECOVERING INFORMATION FROM INCOMPLETE OR PARTIAL MULTISECTORAL ECONOMIC DATA

    Sherman Robinson;Amos Golan;George Judge

  • Equilibrium among Spatially Separated Markets: A Reformulation

    Unknown

  • Spatial Equilibrium and Quadratic Programming

    T. Takayama;G. G. Judge

  • Maximum Entropy Econometrics

    Amos Golan;George G. Judge;Douglas Miller

  • Inequality Restrictions in Regression Analysis

    G. G. Judge;T. Takayama

  • A Maximum Entropy Approach to Recovering Information from Multinomial Response Data

    Amos Ggolan;George Judge;Jeffrey M. Perloff

  • An Information Theoretic Approach to Econometrics

    George G. Judge;Ron C. Mittelhammer

  • Improved methods of inference in econometrics

    Aman Ullah;George G. Judge;Thomas A. Yancey

  • The Statistical Consequences of Preliminary Test Estimators in Regression

    M. E. Bock;T. A. Yancey;G. G. Judge

  • An Interregional Activity Analysis Model for the Agricultural Sector

    T. Takayama;G. G. Judge

  • Maximum entropy econometrics

    George Judge

  • A maximum entropy approach to estimation and inference in dynamic models or counting fish in the sea using maximum entropy

    Amos Golan;George Judge;Larry Karp

  • On Estimating the Transition Probabilities of a Markov Process

    T. C. Lee;G. G. Judge;T. Takayama

  • Agricultural Production Functions.

    George G. Judge;E. O. Heady;J. L. Dillon

  • Recursive programming and production response

    George G. Judge;Richard H. Day

Frequent Co-Authors

Jeffrey M. Perloff
Jeffrey M. Perloff University of California, Berkeley
Alexander N. Gorban
Alexander N. Gorban University of Leicester
Helmut Lütkepohl
Helmut Lütkepohl Freie Universität Berlin
Arnold Zellner
Arnold Zellner University of Chicago
Larry S. Karp
Larry S. Karp University of California, Berkeley
David E. A. Giles
David E. A. Giles University of Victoria
Timo Teräsvirta
Timo Teräsvirta Aarhus University

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