George G Judge

Biographic Data

ID1076502
NAMEGeorge G Judge
GIVEN NAMESGeorge G
FAMILY NAMEJudge
SIGNATUREJUDGE G G
AFFILIATIONSUniversity of California, Berkeley
ORCID0000-0002-2207-126X
VERIFIEDYes
TOTAL WORKS8
TOTAL CITATIONS0
WORKS AS AUTHOR8
WORKS AS EDITOR0
FIRST PUBLICATION YEAR1974
LATEST PUBLICATION YEAR2019
H-INDEX0

  • Entropy-based China income distributions and inequality measures

    Qiuzi Fu, Sofia Berto Villas‐boa et al.ARTICLEChina Economic Journal2019References: 1

    We use information theoretic information recovery methods, on a 2005 sample of household income data from the Chinese InterCensus, to estimate the income distribution for China and each of its 31 provinces and to obtain corresponding measures of income inequality. Using entropy divergence methods, we seek a probability density function solution that is as close to a uniform probability distribution of income (with the least inequality), as the da…

  • Does china income FSDs follow Benford? A comparison between Chinese income first significant digit distribution with Benford distribution

    Qiuzi Fu, Sofia Berto Villas‐boa et al.ARTICLEChina Economic Journal2018

    Since Benford’s law is an empirical phenomenon that occurs in a range of data sets, this raises the question as to whether or not the same thing might be true in terms of the Chinese income distribution data. We focus on the first significant digit (FSD) distribution of Chinese micro income data from the 2005 Inter-Census sample, which corresponds to 1% of Chinese population and other micro income data from the China family panel studies (CFPS) a…

  • Recovering Information from Incomplete or Partial Multisectoral Economic Data

    AMOS GOLAN, George G Judge et al.ARTICLEThe Review of Economics and…1994

    Amos Golan, George Judge, Sherman Robinson, Recovering Information from Incomplete or Partial Multisectoral Economic Data, The Review of Economics and Statistics, Vol. 76, No. 3 (Aug., 1994), pp. 541-549

  • Introduction to the Theory and Practice of Econometrics.

    George G Judge, Carter Hill et al.ARTICLEJournal of the American…1988

    Value of a Random Variable 2.4.2Expectation of a Function of a Single Random Variable 2.4.3Expectations of Functions of Several Random Variables 2.4.4Moments ' 2.4.5 Chebyshev's Theorem 2.4.6 Expectations Involving Multivariate Random Variables 2.5 Some Special Distributions 2.5.1 The Bernoulli Distribution 2.5.2The Binomial Distribution 2.5.3The Multinomial Distribution 2.5.4The Gamma Distribution 2.5.5The Normal Distribution 2.5.6The Bivariate …

  • Estimation of Location Parameters Under Nonnormal Errors and Quadratic Loss

    Shigetaka Miyazaki, George G Judge et al.ARTICLEJournal of Business and Economic…1986

    Assuming a statistical model in which the joint distribution of the unobservable errors is drawn from independent univariate Student t's that are identically and symmetrically distributed, the sampling performance of traditional robust estimators and a family of Stein-like estimators are compared and evaluated. These results suggest that under thick-tailed distributions, the relative sampling performances and risk characteristics for a range of n…

  • The Theory and practice of econometrics

    George G JudgeBOOKThe Theory and practice of…1985

  • Econometric Estimation

    George G Judge, J C R Rowley et al.ARTICLEEconomica1975

  • Post Data Model Evaluation

    George G Judge, Mary Ellen Bock et al.ARTICLEThe Review of Economics and…1974

    JHE PURPOSE of this article is to bring to the attention of the readers of this journal a number of related and important estimators that are currently being discussed in the statistical literature which have implications for applied work since rules are employed which seek to improve the performance of conventional estimators. In spite of the rapid advances, over the last three decades, of economic theory, econometric procedures, and data relati…