GREGORY CHI-CHONG CHOW

摘要

Gregory C. Chow is the Class of 1913 Professor of Political Economy, Emeritus, at Princeton University. He has been a major figure in econometrics and applied economics. Every beginning econometrics student learns the "Chow test," a statistical test for structural change, applicable whether all the parameters of the regression model are estimable in both samples or not. However, Chow's work extends far beyond his eponymous test. He has been a major figure in the postwar flowering of econometrics, and his applied work included important research in microeconomics, macroeconomics, and development economics (particularly in reference to Southeast Asia). Chow's innovative research in both econometrics and applied economics combines his views that simplicity and transparency in econometric research are primary virtues. His econometric research contributed to the study of simultaneous equation systems, both linear and nonlinear; full-information maximum likelihood estimation; estimation with missing observations; estimation of large macroeconomic models; and modeling and forecasting with time series methods. Combining econometrics, economic theory, and macroeconomics, Chow's original work on optimal control theory and its application to stochastic economic systems led him to develop and champion a solution approach for dynamic optimization problems using Lagrange multiplier methods.