George G. Judge is an international scholar who has made major contributions to the profession within his specialty of theoretical and applied econometrics. He received his master's and Ph.D. from Iowa State University and embarked on a career that has spanned more than four decades. Judge has done seminal work in both the theory and application of simultaneous equation statistical models, discrete Markov processes, spatial price and allocation models, pretest estimation, empirical Bayes and Stein-rule estimation, and inequality estimation and hypothesis testing. This work has been reported in the leading economic, econometric, and statistical journals. His current research concerns the use of regularization and maximum entropy procedures for ill-posed underdetermined inverse problems.

He has served on the boards of several economic and statistical journals and co-authored eleven books which include Learning and Practicing Econometrics, Wiley, 1993; The Theory and Practice of Econometrics, Wiley, 1980 and 1985; Introduction to the Theory and Practice of Econometrics, Wiley, 1982 and 1988; Improved Methods of Inference, North-Holland, 1986; Pre-Test and Stein-Rule Estimators: Some New Results, North-Holland, 1984; Pre-Test and Stein-Rule Estimators, North-Holland, 1978; Allocation of Time and Space, North-Holland, 1975; Spatial Price and Allocation Models, North-Holland, 1971; and Estimating the Parameters of the Markov Probability Model from Aggregated Time Series Data, North Holland, 1970 and 1977. His latest book, Information Recovery and Inference with Limited Economic Data will be published in December 1995.

Judge's econometrics textbooks are used at both graduate and undergraduate levels, and they have provided the common knowledge to a generation of econometrics practitioners throughout the world. Given the strong quantitative emphasis of the profession, his textbooks continue to play a particularly important role in the training of agricultural economists.

Through his research Judge has developed a new basis for estimation and inference. The new econometric tools he has made available to the profession have expanded the range of problems that can be solved quantitatively by economists.