Professor Dhrymes is a Professor of Economics at Columbia University and a Fellow in the Econometric Society and the American Statistical Association. He is a recipient of Guggenheim, Ford Foundation, and NSF fellowships, and publishes widely on subjects in econometrics.

"Dhrymes' new book deals exclusively and rigorously with an extremely important topic in time-series econometrics. Dhrymes is terribly good at proving theorems; this unified and careful treatment will be useful for teachers, students, and practitioners of advanced econometrics. It will serve as supplementary reading in time-series courses, as a text for a very advanced special topics course, and as a standard reference in the field. If you want to cite a theorem and its proof, here it is." --MARC NERLOVE, Department of Agricultural and Resource Economics, University of Maryland, College Park

• Stochastic Sequences. Prediction and Estimation. Unit Roots; I(1) Regressors. Cointegration I. Cointegration II. Cointegration III. Brownian Motion. Stochastic Integration. Central Limit Theorems; Invariance. Frequently Used Symbols. Graphs of Sequences of Various Types. Bibliography. Index.

Professor Dhrymes is a Professor of Economics at Columbia University and a Fellow in the Econometric Society and the American Statistical Association. He is a recipient of Guggenheim, Ford Foundation, and NSF fellowships, and publishes widely on subjects in econometrics.

"Dhrymes' new book deals exclusively and rigorously with an extremely important topic in time-series econometrics. Dhrymes is terribly good at proving theorems; this unified and careful treatment will be useful for teachers, students, and practitioners of advanced econometrics. It will serve as supplementary reading in time-series courses, as a text for a very advanced special topics course, and as a standard reference in the field. If you want to cite a theorem and its proof, here it is." --MARC NERLOVE, Department of Agricultural and Resource Economics, University of Maryland, College Park

• Stochastic Sequences. Prediction and Estimation. Unit Roots; I(1) Regressors. Cointegration I. Cointegration II. Cointegration III. Brownian Motion. Stochastic Integration. Central Limit Theorems; Invariance. Frequently Used Symbols. Graphs of Sequences of Various Types. Bibliography. Index.